How AI LLMs will Revolutionize SEO (in 2023): Our Insights!

How AI LLMs will affect SEO: A Comprehensive Analysis.

Artificial Intelligence (AI) has increasingly become a critical component of many industries, and digital marketing is no exception. AI Large Language Models (LLMs) like OpenAI’s GPT-4 represent the cutting edge of machine learning technology, providing capabilities to generate human-like text based on given prompts.

Search Engine Optimization (SEO), on the other hand, is a strategic approach focused on improving a website’s visibility in search engine results pages (SERPs), thereby driving organic traffic. SEO involves numerous tactics, from enhancing website design and usability to creating quality content aligned with search algorithms.

Intersection of AI LLMs and SEO

AI LLMs and SEO may seem like distinct entities, but the reality is that they are increasingly intersecting. AI LLMs’ ability to analyze and interpret massive volumes of data makes them an invaluable asset for SEO strategists. They can generate keyword-rich content, understand user intent, and even predict future search trends. As a result, the nexus of AI LLMs and SEO promises a paradigm shift in how digital marketers optimize their websites and content for search engines.

Understanding AI LLMs

The Concept Behind AI LLMs and Their Functioning

AI LLMs are machine learning models trained on vast volumes of text data. Their primary function is to generate human-like text that is relevant and coherent based on a given input or ‘prompt.’ For example, if you ask a question or provide a statement, the model will produce a sensible response or continuation.

To achieve this, LLMs employ deep learning architectures known as transformers. These models can understand context, maintain a conversation flow, and even exhibit a sense of creativity and wit. They can write essays, answer questions, create written content, translate languages, and much more.

Mechanics of LLMs Like GPT-4

GPT-4, or Generative Pre-trained Transformer 3, is currently one of the most advanced LLMs. It’s designed to generate human-like text based on prompts given to it. GPT-4 has a few billion machine learning parameters, making it incredibly sophisticated and capable of understanding and generating complex text.

GPT-4 learns to predict the next word in a sentence by being trained on a diverse range of internet text. Once the model is trained, it can generate any text that is semantically related to the input, making it a useful tool in various applications, including SEO.

The Evolution of AI in Digital Marketing: From Basic Keyword Stuffing to LLMs

SEO's Influence on User Experience.

The integration of AI into digital marketing is not new. Over the years, digital marketers have used AI to enhance their SEO strategies, from basic keyword stuffing to advanced tactics like user intent analysis and personalized content creation.

In the early days, marketers focused on ‘keyword stuffing,’ where specific keywords were repeatedly included in website content to rank higher on SERPs. However, this approach often resulted in poor user experience and led to penalties from search engines.

Today, with advancements in AI and the development of sophisticated LLMs, the focus has shifted from a mere keyword-centric approach to understanding and matching user intent. AI LLMs are capable of creating high-quality, contextually relevant content that aligns with the evolving algorithms of search engines, making them a critical asset in the modern SEO toolbox.

Role of AI LLMs in Modern SEO Strategies

How AI LLMs are Becoming Vital in SEO

The capabilities of AI LLMs are transforming the landscape of SEO. These models’ ability to understand context, learn from data, and generate human-like text aligns with the key SEO objectives of relevance, quality, and user satisfaction.

AI LLMs can be used for various SEO tasks. They can help create high-quality content that satisfies user intent, drive personalization by understanding user behavior, and provide insights on emerging search trends to keep your SEO strategy ahead of the curve.

Moreover, AI LLMs can also automate time-consuming tasks like keyword research and content optimization, making SEO more efficient and less labor-intensive. These aspects make AI LLMs not just an optional tool, but a vital component of modern SEO strategies.

How AI is Reshaping Content Creation: From Keyword-Based to Context-Based

The advent of AI and LLMs has greatly influenced the process of content creation. Earlier, the focus was on generating content stuffed with keywords to trick search algorithms. However, with search engines becoming smarter and user expectations rising, the keyword-centric approach is no longer viable.

AI LLMs have facilitated a shift towards context-based content creation. They allow SEO professionals to move beyond keywords and focus on creating meaningful content that aligns with user intent. AI LLMs analyze user behavior, search patterns, and the semantic context of queries to generate content that provides real value to the user. This results in higher engagement, improved SERP rankings, and increased organic traffic.

Emerging SEO Trends Influenced by AI LLMs

The Rise of Semantic SEO and the Role of AI LLMs

Semantic SEO is an approach that focuses on understanding and fulfilling user intent rather than relying solely on keywords. It involves optimizing content based on topics and the context in which keywords are used.

AI LLMs are pivotal in the successful implementation of semantic SEO. They can analyze vast amounts of data, understand context, and generate content that aligns with user intent. By leveraging AI LLMs, businesses can optimize their content to answer user queries more effectively, thereby improving their search engine rankings.

AI LLMs and User Intent: Towards a More Intuitive Search

Another emerging trend in SEO is the focus on user intent. Search engines are getting better at understanding what users are actually looking for when they type in a query. This means that SEO strategies need to evolve from a mere keyword focus to understanding and meeting user intent.

AI LLMs, with their ability to analyze and understand user behavior and semantic context, are well-equipped to meet this demand. They can generate content that not only includes the right keywords but also aligns with the user’s purpose of search. This shift towards a more intuitive search experience, powered by AI LLMs, is a key trend shaping the future of SEO.

Innovative SEO Strategies Using AI LLMs: The Tactics

Semantic SEO with LLMs

How to Use LLMs to Understand Topic Clusters

AI LLMs can be immensely beneficial in implementing a topic cluster model in your content strategy. A topic cluster is essentially a collection of interlinked web pages centered around a core concept, which enhances your website’s authority on the topic and improves SEO.

AI LLMs can analyze and comprehend extensive volumes of data to understand which topics are related and how they can be grouped together. By understanding these connections, you can create pillar pages (broad content pieces that provide a general overview of a topic) and cluster content (specific content that addresses different aspects of the topic), improving your website structure and SEO performance.

Creating Context-Based Content Using LLMs

As discussed earlier, content creation has evolved from keyword stuffing to a context-based approach. AI LLMs excel in creating context-based content. They can understand the semantics of a topic, user intent, and generate content that aligns with these elements.

For instance, if you’re writing about ‘cloud computing’, an AI LLM will help you create content that covers various aspects of the topic like benefits, types, use cases, challenges, future trends, etc., to provide a comprehensive view to the user. This holistic approach can drive engagement, reduce bounce rates, and boost your SEO efforts.

Leveraging LLMs for Link-Building within a Semantic SEO Strategy

Link building remains a critical part of SEO. But, as with other aspects of SEO, its approach has changed. Rather than focusing solely on the quantity of backlinks, it’s now about the quality and relevance of these links.

AI LLMs can aid your link-building efforts by identifying relevant topics and websites for backlinks. By understanding the semantic relationship between different topics, they can help you identify opportunities for creating high-quality, relevant backlinks, thereby boosting your SEO performance.

AI for Predictive SEO

How to Use LLMs for Predicting User Intent

Predicting user intent is a crucial aspect of modern SEO. LLMs, with their advanced language understanding capabilities, can be incredibly useful for this task. They can analyze search queries and online behavior to predict what users want to see.

For instance, suppose a user is searching for “best running shoes for marathons.” An AI LLM can predict that this user is likely a long-distance runner interested in footwear that provides comfort and durability over extended runs. Your SEO strategy can then prioritize content that addresses these specific interests, thereby increasing engagement and conversions.

Leveraging LLMs for Predictive Analysis of Search Trends

AI LLMs can also predict emerging search trends by analyzing online behavior and existing search data. By predicting these trends, you can create and optimize your content ahead of your competitors, getting a head start on capturing that organic traffic.

Voice Search SEO with AI

Using LLMs for Optimizing Voice Search Queries

The rise of smart devices has led to a surge in voice searches. The natural language processing (NLP) abilities of LLMs can play a vital role in optimizing your content for voice search. They can help you understand the conversational language and long-form queries typically used in voice searches, enabling you to optimize your content for these unique queries.

Leveraging LLMs for Better Local SEO Strategies in Voice Search

Local SEO is another area where voice search plays a significant role. Many voice searches are for local businesses or services. LLMs can help you optimize your content for these local queries by understanding the semantic meaning and context of the search terms.

Personalized SEO Strategy

Using LLMs to Predict User Behavior and Personalize SEO

LLMs can analyze a user’s online behavior, preferences, and past interactions to predict their interests. This data can be used to create personalized SEO strategies. For instance, if a user frequently reads content about vegan recipes on your website, you could prioritize showing them new content about veganism.

Adapting SEO Strategies Using LLM Insights on User Preferences and Browsing History

By analyzing users’ browsing history and preferences, LLMs can provide deep insights into their behavior and interests. These insights can be used to adapt and refine your SEO strategy. For example, if an analysis of your audience reveals a significant interest in sustainability, you might want to emphasize your company’s environmental initiatives in your SEO content.

Enhanced Long-tail Keyword Strategy

Using LLMs to Understand and Optimize for Long-tail Keywords

Long-tail keywords – those specific, multi-word phrases that users often input when their search is closer to a point-of-purchase – can be a goldmine for SEO. They’re typically less competitive and have a higher conversion rate. LLMs can help you discover and understand these long-tail keywords. By analyzing large amounts of data, they can identify niche-specific long-tail keywords that may be missed by traditional keyword research tools.

AI for Technical SEO

How LLMs Can Help with Automated SEO Auditing

An SEO audit is a crucial aspect of any SEO strategy. It helps identify potential issues and opportunities for improvement. However, it can be time-consuming and complex. LLMs can help automate this process. They can analyze your website and identify issues like broken links, slow load times, and duplicate content, providing actionable recommendations to improve your SEO.

Utilizing LLMs for Website Structure Optimization

LLMs can also help optimize your website structure. They can analyze the way users navigate your website, identify potential bottlenecks, and suggest improvements. For instance, they might suggest reorganizing your site’s navigation to make important pages easier to find, thereby improving the user experience and your SEO.

Lesser-Known Strategies: Exploring the Untapped Potential of AI LLMs

How to Use LLMs for Advanced Sentiment Analysis in SEO

Sentiment analysis isn’t traditionally associated with SEO, but it can provide valuable insights into how your audience perceives your content. LLMs can analyze the comments and social media interactions related to your content, discern the underlying sentiment, and provide actionable insights. For example, if users respond negatively to a particular topic, it’s a clear indication to steer clear of that in your future SEO efforts.

Leveraging LLMs for Image and Video SEO

While written content still forms the backbone of SEO, visual content is catching up fast. More and more users prefer video content, and image searches are also on the rise. LLMs can help optimize this visual content. For instance, they can generate accurate, detailed image descriptions to boost your image SEO or transcribe and analyze video content to provide SEO-friendly summaries and metadata.

LLMs in International SEO: Understanding Cultural Contexts and Language Nuances

International SEO is fraught with challenges, and one of the biggest is understanding cultural contexts and language nuances. This is where LLMs come in handy. With their ability to understand and generate text in multiple languages, they can help create culturally appropriate, localized content. Furthermore, they can also identify regional search trends and keywords, making your international SEO strategy more effective.

Risks and Mitigation

Identifying Potential Risks and Pitfalls of Integrating AI LLMs in SEO

LLMs and SEO Analytics

As with any technology, AI LLMs come with their share of risks and pitfalls. One of the most significant risks is their reliability. AI models are only as good as the data they’re trained on. Inaccurate or biased data can lead to inaccurate or skewed outputs. This could be a major issue, especially in SEO, where relevancy and accuracy are key.

Another concern is the ethical use of AI. When creating content, AI models may inadvertently generate false or misleading information, causing reputational damage. They also might generate content that breaches copyright laws, opening your business up to legal issues.

Suggested Practices for Mitigating These Risks

The first step to mitigate these risks is to carefully vet the data used to train your LLMs. Ensure that the data is reliable, unbiased, and representative of the kind of output you want the model to generate.

It’s also crucial to always use AI as a tool, not a replacement for human oversight. Despite its capabilities, AI cannot fully comprehend complex human issues like ethics, emotions, and laws. There should always be a human checking and moderating the content generated by AI.

Lastly, transparency is key. Make it clear to your audience when content is AI-generated. This fosters trust with your users and can help protect your reputation if the AI makes a mistake.

The Future: How AI LLMs are expected to evolve and shape SEO

Future Expectations from AI LLMs in the Context of SEO

The future of AI LLMs in SEO is bright and full of possibilities. As AI continues to advance, we can expect these models to understand context, tone, and user intent even better, creating highly relevant and personalized content.

We can also anticipate LLMs being capable of automating even more SEO tasks, from on-page optimization to technical audits, link-building, and even devising entire SEO strategies. This would not only increase efficiency but also allow SEO professionals to focus on more strategic tasks.

In terms of content creation, AI LLMs might evolve to produce high-quality long-form content like ebooks, white papers, and in-depth research reports, further expanding their usefulness in content marketing and SEO.

Challenges and Opportunities on the Horizon

In the exhilarating world of AI and SEO, the introduction of AI Large Language Models (LLMs) like GPT-4 is a game-changer. However, like any technological advancement, they come with their share of challenges and opportunities.


  1. Ethical Concerns: One of the significant challenges in utilizing AI LLMs is the risk of ethical misuse. For instance, they could be exploited to produce spam content, false news, or other deceptive content, which could harm users and impact the credibility of businesses. There’s also the potential risk of privacy violations if AI LLMs are used to analyze sensitive user data without proper controls and permissions.
  2. Quality Control: While AI LLMs can generate vast amounts of content rapidly, ensuring the quality and relevance of that content can be challenging. They may sometimes produce content that is contextually inaccurate or irrelevant, potentially harming a brand’s reputation or causing confusion among users.
  3. Dependency on AI: Over-reliance on AI LLMs could lead to a lack of human oversight and creativity in content creation. It could also lead to job displacement in the content creation and SEO industry.
  4. Regulation: As AI LLMs evolve and become more prevalent, there may be new regulations imposed to safeguard users and maintain ethical practices. Complying with these regulations could pose a challenge for businesses.


  1. Enhanced Content Creation: AI LLMs offer the opportunity to create high-quality, contextually relevant content at scale. They can analyze vast amounts of data and generate content rapidly, enabling businesses to meet their content needs more efficiently.
  2. Improved User Experience: By understanding user intent better and creating personalized content, AI LLMs can significantly enhance user experience. This not only improves SEO but also builds customer loyalty and drives conversions.
  3. Competitive Edge: Early adopters of AI LLMs can gain a significant competitive edge. By leveraging these advanced technologies, businesses can stay ahead of SEO trends and position themselves as industry leaders.
  4. Innovation: The integration of AI LLMs in SEO opens up exciting opportunities for innovation. Businesses can explore new SEO strategies, such as advanced sentiment analysis, image and video SEO, and predictive SEO.

Despite the challenges, the opportunities that AI LLMs present are too significant to ignore. With proper ethical considerations, quality control, and a balance between human and AI efforts, businesses can harness the potential of AI LLMs to revolutionize their SEO strategies.

What Experts Think

I agree that AI LLMs have the potential to greatly shape SEO by improving content relevance and user experience. One key advantage of AI LLMs is their ability to mine extensive data and generate content that aligns perfectly with SERP algorithms. This can increase organic traffic, as search engines prioritize content that accurately reflects user intent.

Additionally, AI LLMs can analyze user engagement metrics to enhance content quality and layout, leading to reduced bounce rates. Another benefit of AI LLMs is their ability to provide predictive SEO analysis. This allows marketers to gain valuable insights and optimize future content for better visibility. Lastly, AI LLMs can also contribute to conversion rate optimization (CRO) by personalizing on-site user experiences, indirectly boosting SEO. To prepare for this shift, marketers should stay updated on AI developments, invest in AI and machine learning tools, and adapt their strategies to prioritize creating content that delivers unique value to readers.

Yulia Saf,
Miss Tourist

From my experience, AI LLMs (Artificial Intelligence Language Model) will have a significant impact on SEO in the coming years. These advanced language models have the potential to revolutionize the way search engines understand and rank content. Marketers should prepare for this shift by focusing on creating high-quality, relevant, and engaging content that aligns with user intent. It will be crucial to optimize content for voice search and natural language queries, as AI LLMs are designed to understand and respond to human-like language. In my professional opinion, marketers should also invest in structured data markup and to provide search engines with clear and structured information about their content. This will help AI LLMs better understand and interpret the context of the content, leading to improved rankings and visibility.

Keith Sant
Founder, SEO Meets Real Estate Investors

AI LLMs has already started impacting search performance by siphoning zero-click traffic away from search engines. Those are top-funnel searches around informational (curiosity-based) queries. Marketers who want to see success with SEO need to shift their focus away from topics that generative search experiences can easily answer. In the B2B space, you’ll need to create truly helpful content that leverages stories, experience, and data to help your audience solve the challenges they face. This means less reliance on SEO tools and search volume and more customer insights to guide content strategies. You’ll also want to focus on more complex topics (that AI LLMs cannot easily explain), thought-leadership, and trending topics, as these issues are harder for AI LLMs to answer. AI LLMs can’t create. They can only rehash existing ideas, so you’ll want to leverage SME insights to make content more helpful and memorable. Resonance, not impressions, is key here. You need your content to leave an impact on your prospect.

James De Roche,
Managing Partner at Lead Comet

Instead of targeting general two-word phrases, I would recommend beginning by focusing on targeting particular search keywords. The reason for this is because audiences frequently want to cut down on the amount of time they have to spend searching for information across a variety of websites and conducting several searches in order to get what they need. When opposed to users who search for more general terms such as web design, users who look for long-tail keywords may exhibit higher purchase intent or a better desire to take action. This change may prove to be quite beneficial.

Andrew Priobrazhenskyi,
CEO DiscountReactor

Utilization Of Generic Artificial Intelligence Tools * It seems that chatGPT has made a splash in the world of digital marketing, prompting enthusiasm to radiate across the industry as a whole. It has the potential to reduce the amount of labor a marketer has to do on a daily basis by automating processes like the creation of content marketing plans, the conduct of keyword research, the determination of the level of competition for a variety of keywords, and even the generation of attractive SEO titles. As a result, I believe it to be absolutely necessary for marketing teams to have knowledge about and expertise in AI.

Robert Smith
Head of Marketing at Psychometric Success

I would venture to say that the use of voice assistants and smart speakers has been steadily gaining popularity over the past several years. According to recent studies, about half of the people living in the United States utilize voice search functions on a regular basis. When utilizing voice search, individuals have a tendency to ask questions and use language that is more natural. This is an important point to keep in mind. Voice inquiries, in contrast to regular text-based searches, are often lengthier and more closely resemble conversations. If you want to optimize your website for voice search, you should make sure to alter your content to meet the conversational patterns described above and give replies that are straightforward and to the point.

Mark Valderrama,
Owner and CEO- Aquarium Store Depot

I actively engage with LLMs in my work, and I’ve seen firsthand how they can enhance content creation. They provide insights into what resonates with audiences and tips on improving the user experience. But it’s not a one-size-fits-all solution and it’s not always right either. Search engines like Google are developing filters to detect AI-generated content, which may rank lower. I think it’s very important to use AI as a language processor and a helper, rather than to depend on it to write full texts and research for us. Current models simply aren’t able to do that for us. The future of SEO, as I see it, lies in a synergistic approach. We must combine the computational power of LLMs with human creativity and a deep understanding of search engine algorithms. This collaboration allows us to create content that not only ranks high but also engages and captivates the audience.

Matt Diggity,
Founder & CEO of Diggity Marketing

AI Language Models (LLMs) have emerged as effective tools in the field of local search engine optimization (SEO), providing marketers with useful insights and capabilities to help them improve their tactics and obtain a competitive advantage in their local markets. AI LLMs play a critical role in optimizing how search engines comprehend and respond to user intent in localized searches by understanding location-based queries. Marketers may conduct in-depth competitive analysis in the local SEO scene by leveraging AI-powered technologies. AI-powered insights assist in identifying successful techniques used by competitors, such as the use of local keywords, backlinks, and content approaches. Marketers can use this information to improve their own local SEO strategies in order to outperform competitors and acquire a larger part of the local market.

Nicola Carmyllie,
Eloquent Agency

AI LLMs will significantly reshape the SEO landscape by making content optimization more dynamic and personalized. As AI LLMs understand human language better, SEO strategies will need to evolve towards more nuanced, contextual, and user-centric content. It’s essential for marketers to invest in training and tools that leverage AI, understanding not just keywords but the intent behind them.

Dominik Maka,
Head of SEO at LVBET

The integration of AI LLMs in SEO will herald a shift towards highly targeted and relevant content. Emphasizing semantic understanding, AI LLMs will require marketers to craft content that resonates with genuine human interests and needs. Preparing for this shift involves focusing on authenticity, storytelling, and leveraging data-driven insights obtained from AI to craft content that truly connects.

Justyna Dzikowska,
Head of Marketing at Brand24

The advent of LLMs like ChatGPT is nothing short of a revolution in the digital marketing world, and I firmly believe that those who fail to adapt will be left behind. For example, I’ve used AI-powered predictive analytics to forecast consumer behavior in Google Ads campaigns. By analyzing historical data and current trends, I’ve been able to predict which keywords will perform best in the future. This has allowed me to optimize bidding strategies, resulting in a 30% increase in ROI. But it’s not all about numbers and algorithms. I strongly believe that the human touch is irreplaceable. While LLMs can provide insights and efficiency, they cannot replace the creativity, empathy, and understanding of human psychology that a seasoned marketer brings to the table.

Tetiana Sira
Senior Digital Marketing Executive at Energy Casino

AI LLMs will redefine SEO by enabling content to be more adaptable and aligned with individual user behavior and preferences. The utilization of AI will lead to predictive SEO, where content is tailored not just to current trends but anticipates future user needs and interests. Preparing for this requires marketers to embrace continuous learning, align with AI-driven platforms, and place user experience at the core of their strategies.

Kacper Rafalski,

One of the biggest ways that AI LLMs will affect SEO is by changing the way that search engines like Google interpret and rank content. This means that we’ll need to focus more on creating high-quality, relevant content that’s tailored to the specific needs and interests of our target audience. Need for high quality content To prepare for this shift in SEO, we’re focusing on creating content that’s optimized for natural language processing and semantic search. This means using language that’s more conversational and less keyword-focused, and creating content that’s designed to answer specific questions or provide solutions to specific problems. Creating conversational content We’re also focusing on building relationships with our target audience, and creating content that’s designed to engage and educate rather than simply sell. This means creating content that’s more interactive, such as quizzes, polls, and surveys, and using social media and other channels to build a community around our brand. Overall, I think that the shift to AI LLMs will be a positive thing for supplement companies, as it will force us to focus more on creating high-quality, relevant content that’s tailored to the specific needs and interests of our target audience. By embracing this shift and adapting our strategies accordingly, we can continue to drive traffic, generate leads, and grow our business in the years to come.

Zulfar Azimi ,
COO and Head of Marketing at CanXida

So I have talked with 20+ agencies in the last few months. Most agencies are not changing their workflows, but they are scared and it’s not super easy to change to an AI based SEO model. Which I believe is a mistake, hence me starting an SEO startup myself.The main reason we care about ranking on Google, is to get more traffic, now how do you get more traffic? By being one of the top pages on the Google search results of course. Now how do we do this today, considering we can leverage AI? I believe with AI you can skip the high ranking keywords and find the thousands of opportunities on smaller keywords. For one other reason, which is topical authority. In order for Google to think you are credible you are much better off with a higher number of articles talking in depth about this subject from different angles. This is easily done by trying to rank for many keywords. Most keywords already have content, you will need to create a high quality article to rank on anything on Google these days. But you can ask the AI to analyse these articles, and tell you why they rank well, what are these articles saying that makes Google and therefore the visitors like them? AI can answer this, in a few seconds, for hundreds of keywords at the same time. So now you have a great list of keywords, analysed what is needed to rank #1 on them. You have only one step left, ask the AI to write it for you. Unsurprisingly, if you give the AI your public company data, the information for the other article, have it use use it’s internal knowledge, and good instructions about how to write it, you end up with an article like this, written by AI but it passed AI detection software, and it is pleasant to read, because it is relevant, information dense and answers your intent. Funny enough, AI can also do the last thing, give you an article without spelling mistakes, fully optimised and ready to rank for you to put on your website. Once it’s live, ask the AI if the page is set up properly, it can tell you.

Hansjan Kamerling

Big things are happening in the SEO world, and AI Large Language Models like GPT-4 are at the heart of it. These clever bits of tech can churn out content that’s not just well-written, but also hits the mark in terms of relevance. So what does this mean for SEO? It’s simple – the days of ‘keyword stuffing’ are fading. We’re heading into an era where authentic, quality content that connects with people is king. Because AI can create content faster than any human, the web is likely to get a whole lot busier. This raises the stakes for creating content that really pops and stands out from the crowd. The SEO game is no longer just about ticking boxes for algorithms; it’s about creating something unique that people actually want to read. To navigate these changes, us marketers have got to sharpen our tools and our strategies. Sure, let’s embrace AI and its potential. But at the same time, let’s not forget the magic we humans bring – understanding our audience on a deep level, creating content that matters, and building authentic relationships with our audience. The real key to SEO success in this new era? It’s not just about using AI, it’s about using it wisely, and combining it with our unique human touch.

Sudhir Khatwani
Director of The Money Mongers, Inc.

AI LLMs will bring a new level of optimization to SEO, allowing marketers to more effectively track and analyze data. It will also automate tedious tasks such as keyword research, which will save time and resources. Marketers should focus on understanding the technology and how to best utilize it to their advantage. Digital marketers and SEO specialists should be prepared to stay on top of the latest trends and adjust their strategy accordingly. This will help to ensure they are prepared for the coming AI LLMs and the resulting changes to SEO.

Jaden Oh,
Chief of Marketing at Traffv

AI LLMs are the new hotness in the world of SEO, and they have the potential to revolutionize the way we do SEO. If you want to stay ahead of the competition, you need to start learning about AI LLMs and how you can use them to improve your SEO. 1. Create Relevant ContentOne way that AI LLMs could affect SEO is by helping us create more relevant and engaging content. LLMs can be used to generate content that is tailored to specific keywords and search intent. This will help businesses to improve their search rankings and attract more organic traffic. Example: Let’s say you’re a business that sells shoes. You could use an AI LLM to generate content that is tailored to the keyword best running shoes. The LLM could generate content that includes information about the different types of running shoes, the benefits of running, and how to choose the right running shoes for your needs. This content would be more relevant to people who are searching for best running shoes, which could help your website rank higher in search results. 2. Quality of BacklinksAnother way that AI LLMs could affect SEO is by helping us improve the quality of our backlinks. LLMs can be used to identify high-quality backlink opportunities and to create more effective outreach campaigns. This could help businesses to build a stronger backlink profile and improve their search rankings. For example, let’s say you’re a business that sells shoes. You could use an AI LLM to identify high-quality websites that are relevant to your business. The LLM could then help you create an outreach campaign to those websites. This campaign could include sending emails to the website owners, asking them to link to your website. If the website owners agree to link to your website, this could help improve your backlink profile and improve your search rankings.

Alex Alexakis
Founder, Pixel Chefs

AI is already making significant changes in SEO, and these transformations will only accelerate. AI offers many benefits for SEO. It facilitates data analysis, trend identification, and content creation. Additionally, it provides valuable support for competitor analysis, backlink management, and collection of keyword data. As AI becomes a more important part of SEO, the competition on the SERP is set to increase. Therefore, integrating AI SEO tools into one’s strategy transitions from a luxury to a necessity to stay competitive. To prepare for the shift, marketers should start familiarizing themselves with AI tools and actively incorporate them into their SEO strategies. An open-minded approach and willingness to adapt to changes will be key to success in the evolving digital landscape.

Finn Arctander
Founder of BRACAI

AI LLMs are transforming how search engines interpret and respond to natural language searches. These advanced AI models, unlike typical keyword-based searches, can grasp the context and intent underlying user queries, allowing them to give more relevant and accurate search results. As a result, search engines reward content that directly answers typical user questions and addresses long-tail keywords in a conversational manner. If a user searches for best budget-friendly smartphones with good camera quality, AI LLM-powered search engines can identify the user’s intent and return results that include extensive guides or lists of affordable devices with exceptional photography functionality. Marketers may capitalize on this change by creating content that meets specific user searches in a natural, conversational tone.

Sarah Walters,
Marketing Manager, The Whit Group

AI LLMs and SEO: In my opinion, there are already a number of ways in which AI LLMs (Artificial Intelligence Language Models) like GPT-3 and its future successors are influencing SEO (Search Engine Optimization). Some of the ways in which AI LLMs might change SEO are as follows. AI LLMs can create high-quality content that is difficult to distinguish from a human’s. This may make it simpler for website owners and content writers to rapidly generate large amounts of content. However, it could raise questions about the content’s veracity and uniqueness, which is something search engines value highly. Artificially intelligent LLMs have made great strides in natural language processing. This has the potential to make search engines smarter and more adept at interpreting human intent and complex searches. This suggests that SEO tactics should place a greater emphasis on providing information that is both contextually appropriate and responsive to the demands of individual users.

Te Wu
CEO | PMO Advisory

I believe that AI LLMs will have a significant impact on SEO in 2023. Short-answer search queries that AI, like ChatGPT and Google BERT, can easily answer will likely be taken over by these AI models. To prepare for this shift, marketers should focus on creating more comprehensive and in-depth content that provides unique insights and value to users, as well as optimizing for voice search queries to cater to the growing number of AI-powered voice assistants.

Nikita Sherbina
Co-Founder & CEO at AIScreen

As the CEO of, I’ve been closely observing the transformative impact of AI Large Language Models (LLMs) on the SEO landscape. In my view, the advent of LLMs in AI has created a surge in competition as it has democratized content creation. Just a few months ago, it was nearly impossible for newcomers who couldn’t afford to hire writers or produce large volumes of text manually. Now, we’re witnessing a sudden influx of new articles across all niches, temporarily intensifying competition and making SEO a bit more challenging for us. However, I believe that many who utilize LLMs will attempt to publish 500-1000 blog posts on their websites. While this might initially drive some traffic from Google, the quality of these articles may suffer as owners won’t be able to review so many articles before publishing. In light of this, I think SEO experts need to be even more prepared than before. It’s crucial to try and incorporate as much experience about a particular topic into each article, something that AI can’t deliver. Given the sheer volume of new texts, I believe that updating old content will become a significant focus for SEO. There will be ample room for improvement, and the good news is that AI LLMs are excellent for this task. They can analyze a large number of words, i.e., competitor pages, and suggest where you can enhance your existing texts. We all need to start using AI, but in a smart and sustainable way, not by publishing as much content of questionable quality as possible. I believe that, in the end, this approach will prevail.

Phil Vam
CEO, MicroStartups

AI Language Learning Models (LLMs) like GPT-4 are transforming SEO by becoming adept at understanding context and semantic relevance rather than simply keyword density. This shift necessitates a renewed focus on content quality and relevance to users. Marketers should prepare by ensuring their content is rich, informative and genuinely helpful to the audience, avoiding over-reliance on keywords. Additionally, the ability of these AI models to handle multiple languages and understand nuance can help in global SEO strategies. In essence, focus on the quality of content and relevance to user intent, and exploit the AI’s multilingual abilities for international reach.

George Bates,
SEO Manager at Limelight Digital

The methods in which AI LLMs may affect SEO: From my perspective, AI language learning machines have been of assistance in the development of voice search. Because of the advent of voice search, traditional keyword phrases will need to be changed to conversational and long-tail keywords in order to achieve the best possible search engine optimization results. It is possible that AI LLMs may be used by search engines to better read and assess content found online, which will lead to enhanced search results. It is possible that this will lead to more relevant search results for users, rewarding websites that have high-quality material that is detailed.

Alex Contes,
Co-Founder & SaaS Expert at ReviewGrower

According to my knowledge, the procedure of generating rich snippets and featured snippets for usage in search engine results has the potential to be improved by using AI LLMs. It’s possible that websites that take advantage of these chances may see an increase in their ranks as well as the number of visitors they receive. Hyper-Personalization: Artificial intelligence LLMs may make it feasible for search engines to personalize results to the history, location, and behaviour of each individual user. This is referred to as hyper-personalization. If you want to perform better in personalized search results, the primary focus of your SEO strategy should probably be on providing consumers with content and experiences that are specific to them.

Ryan Steinolfson,
Business Owner at Accelerate Marketing

Key steps to prepare for the SEO shift: In my opinion, It’s possible that advances in artificial intelligence (AI) technology will create significant changes to the way search engine algorithms operate. Marketers have a responsibility to be abreast of significant upgrades made by search engines and be prepared to adapt their strategies in reaction to any algorithmic shifts. In light of the fact that AI LLMs are getting better at understanding user intent and reacting correctly, marketers should place a strong emphasis on user experience and intent. Make sure that the experience that people have on your website is positive and straightforward.

Bob Smith,
Founder at Starlinkzone

Essential measures to take before the SEO change: Marketers, in my opinion, should tailor their content to voice queries as the use of voice search grows. This includes providing in-depth responses to frequently requested queries utilizing both natural language and long-tail keywords. Even if AI LLMs can generate material, it’s still important to spend time crafting unique and high-quality pieces to submit to search engines. Make an effort to differentiate yourself from the crowd by producing content that is both useful and original. Put your trust in SEO tools driven by AI that can help you analyze data, get insights, and fine-tune your content. To keep ahead of the curve and make informed decisions, use the resources at your disposal.

Henry Waddilove,
Managing Director at Novus Business Connections

AI LLMs, such as GPT-3, have already begun influencing the SEO landscape. Here’s what marketers should consider: Content Optimization: AI LLMs are adept at understanding context and user intent. Marketers should focus on creating high-quality, relevant, and valuable content to match AI-driven search preferences. Natural Language Processing: As AI LLMs become more proficient in understanding natural language, long-tail keywords and conversational queries will become increasingly vital for SEO success. User Experience: AI-powered search engines prioritize user experience. Marketers must focus on site speed, mobile responsiveness, and seamless navigation to enhance rankings. Personalization: AI LLMs enable personalized search results. Tailoring content and offerings to individual user preferences will be crucial for engaging and retaining audiences. Continuous Adaptation: Embrace emerging AI SEO tools and stay updated with algorithm changes to stay ahead in the evolving SEO landscape.

Kenneth Garcia,
Founder Of BibleKeeper

In my opinion, AI language models (LLMs) will significantly impact SEO in 2023. These LLMs can generate high-quality content, which might affect traditional SEO practices. To prepare for this shift, marketers should focus on three key areas: 1. User Intent and Quality Content: LLMs prioritize content that matches user intent. Marketers should create valuable and relevant content that genuinely addresses users’ needs, aiming for high-quality, comprehensive, and engaging materials. 2. Natural Language and Conversational Tone: AI LLMs are skilled at understanding natural language. Marketers should optimize their content for conversational queries, incorporating long-tail keywords and contextually relevant phrases. 3. Featured Snippets and Structured Data: * LLMs are more likely to use featured snippets to answer questions. Marketers should use structured data and optimize content to be eligible for featured snippets, as they enhance visibility and credibility. By staying updated on AI LLM advancements, keeping content user-centric, and leveraging structured data, marketers can adapt to the SEO shift in 2023 effectively.

Ayman Nazish,
Digital Marketing Associate at SocialSharings

Artificial Intelligence and LLMs are truly a revolution in the SEO world. It used to take hours to write a good blog post or article. Now I can create high-quality content in minutes using AI. That means more fresh content for my website and better rankings. But it’s not all about speed. Finding the perfect words for title tags and descriptions has always been an art. Now, with AI, I can find the words that grab the attention of not only people but also search engines. And then there are the backlinks. They’ve always been the backbone of SEO, but finding the right ones has never been easy. With AI, I can now analyze and target the best pages for backlinks. No more poking around in the dark, just clear, effective strategies. But it’s not all sunshine. With the ease with which content can now be created, there is also a deluge of sites that are quickly thrown together and offer no real value. It’s like anyone with a computer can now create a website, and that means it’s becoming harder to stand out from the crowd. The question arises as to whether quality is lost amidst all this quantity. This is what AI and LLMs mean to me in the SEO world. It’s not just about making things easier, it’s also about making them better – while recognizing the challenges this new technology brings. It’s like having a supercomputer in my SEO toolkit, but I also have to be smart about how I use it. The future of SEO looks really bright, but there are shadows.

Martin Gebhardt,
Wilderness Mentor, Content creator, Author and Editor, SEO at Survival Kompass

With the increasing sophistication of natural language processing (NLP) algorithms, search engines will become better at understanding and interpreting the intent behind user queries, which will lead to more personalized and relevant search results. To prepare for this shift, marketers should focus on creating high-quality, engaging content that is optimized for both search engines and human readers. This means using natural language and avoiding keyword stuffing or other outdated SEO tactics. Additionally, marketers should invest in tools and technologies that can help them analyze and optimize their content for AI-driven search algorithms, such as Google’s BERT (Bidirectional Encoder Representations from Transformers) algorithm.

Kami Turky,
Head of Marketing at SEH

While many people are claiming AI LLMs to be the future of SEO due to its content creation capabilities, I say otherwise. I think that relying on AI LLMs for generating SEO content is a recipe for disaster because of a lack of humanized content. What I mean by humanized content here is that the content made by AI might be relevant and SEO optimized, it will always lack coherence and the content will be generalized since AI does not understand the concept of emotions and is not able to create content that is tailor made for a target audience.

Elice Max
Marketing lead, Co-owner, EMUcoupon

As a digital marketer, I would say that AI LLMs have the potential to revolutionize SEO practices in the legal industry. By leveraging these advanced language models, digital marketers can create high-quality legal content, optimize for relevant keywords, enhance natural language processing capabilities, implement structured data markup, and stay informed about legal trends. However, it is crucial to remember that human expertise remains essential in developing effective SEO strategies.

Lieu Dang,
Marketing Project Manager at Ling App

In my expert opinion, AI LLMs will disrupt SEO, however, in a good way. We must remember that AI requires a great data source (LLMs) to give great results. AI also requires growing input to learn from. Therefore, it will not completely replace SEO but enhance it. The shift SEO professionals like myself are embracing is topical authority. Meaning, build topic clusters that support the cornerstone parent topic- rather than covering all topics on one page. This way, Google can see that your content deeply understands every aspect of the topic when covered as a group of subtopics that link to the main topic.

Antonio Wells,

I believe AI language models (LLMs) will significantly impact SEO in 2023 and beyond. These advanced models, like GPT-4, can generate human-like content, making it essential for marketers to adapt their strategies. SEO will now require a deeper understanding of how LLMs interpret content and rank search results. Marketers should focus on creating high-quality, engaging, and valuable content that aligns with user intent and meets AI algorithms’ criteria. Additionally, optimizing for featured snippets and voice search will become more critical, as AI-powered assistants rely on LLMs for responses.

Adam Garfield,
Marketing Director of Hairbro

Impact of AI LLMs on SEO: AI LLMs have the potential to significantly impact SEO in several ways: a. Content Creation: AI LLMs can generate high-quality and relevant content, which might lead to an increase in automated content creation. This could challenge content marketers to find unique ways to add value and stand out from AI-generated content. b. Keyword Research: AI LLMs can aid in more accurate and sophisticated keyword research by understanding natural language queries. Marketers will need to adapt their keyword strategies to be more conversational and focused on user intent. c. Featured Snippets: AI LLMs can be used to identify and optimize content for featured snippets, which are becoming increasingly important in search engine results. Marketers will need to prioritize structured data and concise answers to capture these positions. d. Natural Language Processing: AI LLMs can improve search engines’ ability to understand context and user intent, leading to more accurate search results. Marketers should focus on creating content that provides comprehensive answers to users’ questions. e. Voice Search: With the rise of voice-activated devices, AI LLMs will likely impact voice search by providing more relevant and natural-sounding responses. Marketers should optimize for voice search by using long-tail keywords and considering conversational language.

How marketers can prepare for the SEO shift in 2023: a. Embrace AI Technology: Marketers should start experimenting with AI LLMs and other AI tools to understand their capabilities fully. This will help them leverage AI to streamline processes, generate content ideas, and improve overall SEO strategies. b. User Intent Optimization: Instead of just focusing on keywords, marketers should prioritize understanding user intent and providing valuable, relevant content that directly addresses users’ needs and questions. c. Quality over Quantity: With AI-generated content becoming more prevalent, marketers should focus on creating high-quality, unique, and valuable content that differentiates their brand from automated content. d. Optimize for Featured Snippets and Rich Results: Structured data and concise answers will be essential for capturing featured snippets and rich results, which can lead to higher visibility in search results. e. Monitor and Adapt: Stay updated with the latest AI developments in search engines and be ready to adjust your SEO strategies accordingly. Continuously monitor performance metrics, user behavior, and search engine algorithm updates.

Co – Founder of Nihonarubaito

As an SEO specialist, I foresee AI LLMs revolutionizing the SEO landscape in 2023. To prepare for this shift, marketers need to stay updated on AI advancements, especially language models like GPT-4. Understanding how these models work will help marketers leverage them effectively for content optimization and generation. AI-driven keyword research and content recommendations will become integral to SEO strategies. Moreover, marketers should focus on building a strong online brand reputation and authority as AI LLMs consider EAT (Expertise, Authoritativeness, and Trustworthiness) signals. Keeping abreast of AI-driven tools and trends will empower marketers to remain competitive in the evolving SEO landscape.

Jessica Wilson,
Editor and Co-Founder of InYouths LED Mirrors

As a Co-founder of Goldspot Pens, I understand the importance of staying ahead in the ever-evolving world of SEO. While AI LLMs (Artificial Intelligence Language Model) are still developing, they are expected to have a significant impact on SEO practices in the near future, including 2023. AI LLMs, such as GPT-3, have shown impressive capabilities in generating human-like text, which may affect the way search engines process and rank content. Traditional SEO techniques that focus solely on keyword optimization may no longer hold the same weight. Instead, search engines may prioritize content that demonstrates depth, expertise, and relevance across a wider range of factors. To prepare for this SEO shift, marketers should consider the following: 1. Embrace quality content: Invest in creating valuable and well-researched content that goes beyond surface-level information. Aim to become a trusted authority in your niche by providing unique insights and expert opinions. 2. Develop a holistic approach: Consider the entire user experience, from the moment someone lands on your website to their engagement and conversion. Optimize not only for search engines but also for user satisfaction, focusing on factors like website speed, mobile-friendliness, and intuitive navigation. 3. Utilize structured data: Implement structured data markup to help search engines understand your content better. This can enhance the visibility and presentation of your website in search results, providing users with more useful information upfront. 4. Enhance user engagement: AI LLMs are likely to focus on user interaction signals, such as click-through rates, time spent on page, and bounce rates. Engage your audience by creating compelling headlines, improving readability, and incorporating multimedia elements like images and videos. 5. Stay informed and adapt: Keep up with the latest developments in AI and SEO practices. Stay informed about changes in search engine algorithms and industry trends to ensure your SEO strategies remain effective.

Remember, the shift toward AI LLMs in the SEO landscape is gradual, but it is essential to start preparing now. By focusing on providing valuable content, enhancing user experience, and adapting to changing SEO dynamics, you can position your brand for success in 2023 and beyond.

Kiran Mehra,
co-founder and president of Goldspot Pens

Several ways AI LLMs could potentially affect SEO: 1. Content Creation and Optimization: AI LLMs can assist content creators and SEO specialists in generating high-quality, relevant, and engaging content. By understanding user intent and search queries better, AI-powered tools can help create content that aligns with users’ needs. However, this may increase competition as more content can be produced efficiently. 2. Natural Language Processing (NLP): As AI LLMs become more sophisticated, search engines may improve their ability to understand the context and semantics of search queries. This would lead to more accurate search results and an enhanced user experience. 3. Voice Search Optimization: AI LLMs are contributing to the rise of voice search, necessitating adaptation in SEO strategies. Voice queries are often longer and more conversational, requiring content optimization to rank well for these types of searches. 4. Rich Snippets and Featured Snippets: AI LLMs can assist search engines in identifying relevant snippets to display in search results. This means that websites providing clear and concise information may have better chances of appearing in rich snippets, featured snippets, and other SERP (Search Engine Results Page) features. 5. Automated Content Creation and Duplication: On the downside, AI LLMs can potentially lead to an increase in automated content generation, resulting in duplicate or low-quality content that may negatively impact SEO rankings. 6. Personalization: AI LLMs enable search engines to personalize search results based on individual user preferences and behavior. As a result, different users may see varied search results for the same query, making it challenging to track and optimize for specific keywords. 7. Algorithm Updates and Adaptation: With AI continuously evolving, search engine algorithms may change more frequently and become more complex. SEO specialists will need to stay updated with the latest trends and adapt their strategies accordingly. 8. Competitive Analysis: AI-powered tools can help businesses analyze their competitors’ SEO strategies more effectively. This includes understanding their content, keywords, and backlink profiles, allowing businesses to refine their own SEO strategies to stay competitive.

It’s important to recognize that while AI LLMs have the potential to improve search engine results and user experiences, they also present challenges and ethical considerations. The SEO community must continue to adapt to these changes while prioritizing user intent and content quality in their strategies.

Abhijeet Parmar,
SEO Executive At Elsner Technologies 

The old SEO tricks are losing their charm, like stuffing articles with keywords and following a formula. AI LLMs are introducing a fresh era where they can figure out the words people type and what they mean. This means we SEO folks must focus more on talking to real people rather than just trying to please search engines. But here’s the kicker – it’s not about robots or AI replacing us. Good SEO is still about blending technology with our creative genius. We use AI LLMs to supercharge our creative process, to come up with content that’s not only top-notch but also hits the right notes with real folks. Embracing AI LLMs means rolling with the changes. It’s about keeping our marketing teams in the loop, constantly learning new things. We must know how to team up with AI tools, understand what they tell us, and add our brand’s unique touch. This mix of human smarts and AI smarts is what’s going to set us apart in this new world of SEO. Another cool thing is how AI LLMs help us make sense of data. These tools are like super detectives that can sift through massive piles of data and dig up gems of insight. This means we can fine-tune our strategies with laser precision. From spotting new trends to crafting super-targeted descriptions, we’ve got data. When it comes down to it, the magic is in our partnership with AI. As we enter 2023, let’s not just keep up – lead the way. Let’s be the ones who figure out the most innovative SEO strategies, who find clever ways to connect with people, and who turn challenges into big wins. This digital ride is more thrilling than ever, and I’m pumped to team up with other marketers and SEO buffs to dive deep into the world of AI LLMs.

Vladimir Fomenko
Founder & Director | Infatica

AI LLMs will further enhance search engines’ ability to understand the context, intent, and nuances of the content. This means that traditional SEO techniques that focused solely on cramming keywords and building backlinks may become less effective. Instead, SEO in the era of AI LLMs will demand a shift towards creating high-quality, engaging content that truly adds value to users. This means understanding your target audience, their pain points, and their search intent, and then crafting content that addresses those needs comprehensively.

Farzad Rashidi,
Co-Founder Respona

There’s no doubt that AI LLMs are making it so easy to create content lowering the barrier for businesses & marketers to create content But there’s a big downside when it’s easy to create content, there’s going to be a lot of content out there while readers will have an even shorter attention span where they’d prefer to skim most of the content out there As I’ve been a marketer as we built our business, I noticed one main thing. Your personal brand & the trust you’ve built is going to matter much more in the coming days You’d rather prefer to read about financial strategies from a niche influencer/entrepreneur you trust really well than a fully polished content which appears AI generated In fact, it’s ironical that LLMs are only accelerating our need to rely on trust & intuition as humans to stay relevant The best SEO content is going to be those that include personal experience of the person writing the blog or some unique insight which they found

Goutham Jay
Founder, CEO of Famewall

AI language models (LLMs) are already influencing SEO, and this impact is likely to continue in 2023. Marketers should leverage AI LLMs to enhance content creation, optimize for voice search, and understand user intent better.. They should prioritize providing valuable and relevant content, aiming for featured snippets and improved SERP rankings. Personalization and ethical considerations are essential for delivering a positive user experience. Continuous learning and adaptation are key to staying ahead in the evolving SEO landscape, and diversifying content types can attract a wider audience and improve overall SEO performance.

Jack Lloyd,
General Consultant – Marketing & Business Dev
Z Grills Australia

AI LLMs are like super-smart robots that can do all sorts of things, from writing text and translating languages to creating unique content and answering all kinds of questions. These clever bots learn using tons of data, so they’re always getting better and smarter. Right now, SEO peeps love using LLMs for stuff like making quality content that’s just perfect for the audience they’re targeting – and figuring out how to match searchers with the right results based on what they want most. As these bots get even more advanced over time (which is totally gonna happen), we can expect them to start doing even more amazing things, like tailoring search experiences perfectly or whipping up eye-catching content in a snap. Ways marketers need to prepare for the SEO shift in 2023: – Keep creating high-quality content explicitly tailored for human readers. – Brush up on your linguistic skills so your writing is easily understandable by both people and AI. – Try predicting trend patterns among users when planning campaigns so you will get better web traffic. – Consider using AI-powered tools to automate some of your more tedious SEO tasks, like keyword research or tracking traffic data. This way, you can free up time for brainstorming creative and strategic approaches that will make your campaigns shine.

Nate Nead,
Principal at

The implications of AI development for SEO and content marketing are twofold: On the one hand, creating content and getting traffic from search engines has become easier and faster than before. Depending on your approach to using AI content writers, you can increase your output three, four, or even five times over. On the other hand, Google is already testing its SGE experience, where it aims to answer the majority of informational queries. The timeframe for this feature’s full rollout to all Google users remains unknown, but it is inevitably forthcoming. Therefore, while SEOs and content marketers can still leverage AI writers to drive more traffic in the short term, this approach will likely become less effective in the long run when Google launches its SGE to the public. To mitigate the effects of SGE, businesses should start considering shifting from strictly informational content, which can easily be answered by AI, to more opinionated and experience-based content. This type of content will probably be less susceptible to the impacts of AI LLMs.

Alex Velikiy
Co-Founder & CMO, Chinese Teas 101

LLMs, with their incredible capability of understanding and generating human-like text, will undoubtedly take keyword analysis and content creation to a whole new level. The focus will no longer be just on keyword density and meta tags, but much more on the meaning, context, relevance, and value of content. This is because search engines, empowered by AI LLMs, will be able to decipher the content in a nearly human way, and so, we’ll see an increased emphasis on user-intent based SEO strategies. The LLMs’ ability to dissect and interpret natural language brings in unique opportunities as well as challenges. Therefore, as marketers, we’ll need to stay ahead of the curve and adapt our strategies to this changing landscape. To prepare for this imminent shift, marketers should: 1. Re-emphasize the importance of high-quality, value-driven content. With AI getting better at understanding text, the content that genuinely provides value to the audience and answers their questions effectively will rank higher. 2. Strive for semantic richness rather than mere keyword stuffing in content. LLMs can understand the context, so semantic SEO will gain more importance. 3. Invest time in understanding LLMs and Machine Learning. The need to leverage advanced analytics, predictors, and automated marketing tools powered by AI will be more crucial than ever. 4. Keep abreast of the technological advancements and adapt their SEO tactics accordingly. SEO is a dynamic field, and staying informed, flexible, and responsive is the key to thriving in it. The entry of AI LLMs is set to add a whole new dimension to the SEO industry. Embracing change and being prepared to adjust strategies is the way forward for digital marketers.

Janis Thies,
Co-Founder & Managing Partner at SEOlutions

I believe the ability of LLMs to work through various languages is the biggest perk. We marketers have to go beyond the geographical boundaries of sales because of digital marketing. And even with our expertise, switching through different languages and cultures immediately is impossible. With the help of LLMs, data processing has become easy. We no longer have to worry about collecting and translating the data. And gives us more room to focus on creating marketing strategies.

Ryan Faber
Founder at Copymatic

As AI LLMs become more prevalent, digital marketers and SEOs must adapt their strategies to leverage this technology effectively. Here are some key points to consider: – Content Optimization: With AI LLMs, search engines will prioritize content that provides genuine value and relevance to users. Marketers should focus on creating comprehensive, high-quality, and engaging content that addresses user intent and queries directly. – Semantic SEO: AI LLMs enable search engines to comprehend the context behind search queries. Therefore, marketers should emphasize semantic SEO by incorporating related keywords, synonyms, and contextual information into their content. – User Experience: AI LLMs will reward websites that offer a seamless user experience. Marketers should optimize their site’s loading speed, mobile responsiveness, and overall usability to enhance user satisfaction and rank higher in search results. – Voice Search Optimization: With the rise of AI-powered voice assistants, marketers should optimize content for voice search queries. Long-tail conversational keywords and featured snippets will become increasingly important in capturing voice search traffic. – Data-Driven Insights: AI LLMs can analyze vast amounts of data to identify patterns and trends. Marketers should leverage data-driven insights to refine their SEO strategies continually.

Nazmul Hasan,
Founder and CIO of AI Buster

As a Founder of a Digital Marketing Agency, understanding the potential impact of AI-Language Models (LLMs) on SEO and preparing for the SEO shift in 2023 is essential. AI LLMs, like GPT-3 and its successors, are continually evolving language models designed to understand and generate human-like text. One should consider User Experience and Engagement, User experience and engagement are critical components of a successful digital marketing strategy. A positive user experience and high engagement can lead to increased customer satisfaction, higher conversions, and improved brand loyalty. Ones website’s design should be visually appealing, user-friendly, and intuitive. Ensure that the navigation is straightforward, allowing users to find what they need quickly and easily. Ensure that the content is well-organized, scannable, and easy to read. Use headings, bullet points, and relevant visuals to enhance readability. Also, make your website accessible to all users, including those with disabilities. Implement features like alt text for images and keyboard navigation. In addition, offer high-quality and relevant content that resonates with the target audience and actively participate in social media conversations, respond to comments, and encourage discussions around ones content. By prioritizing user experience and engagement, one can create a positive digital experience that keeps users coming back, enhances brand perception, and drives business growth.

Sahil Kakkar,
CEO of Web Signals

AI LLMs (Large Language Models) are already having a significant impact on SEO, and this impact is only going to grow in 2023 and beyond. Here are a few ways that AI LLMs are changing SEO: 1. Better understanding of user intent: AI LLMs can help search engines better understand the intent behind user queries. This means that search engines will be able to deliver more relevant results, which will lead to better click-through rates and higher rankings for websites that match user intent. 2. More personalized search results: AI LLMs can also be used to personalize search results based on individual user profiles. This means that each user will see a different set of results for the same query, which will lead to a better user experience. 3. Increased competition: As AI LLMs become more sophisticated, it will become easier for businesses to create high-quality content that ranks well in search results. This will lead to increased competition for top rankings, which will mean that SEO professionals will need to be more creative and strategic in their approach.

So, how should marketers prepare for the SEO shift in 2023? Here are a few tips: a. Focus on user intent: Make sure that your content is designed to meet the needs of your target audience. This means understanding what they are looking for and creating content that addresses their pain points. b. Personalize your content: Use AI LLMs to personalize your content for individual users. This will help you to connect with your audience on a more personal level and drive more engagement. c. Be creative and strategic: Don’t be afraid to experiment with new SEO strategies. The landscape is constantly changing, so you need to be willing to adapt your approach. By following these tips, you can prepare for the SEO shift in 2023 and ensure that your website continues to rank well in search results.

Hamza Khurshid,
SEO team lead and Content Manager of Chargeflow

It’s essential to stay ahead of the curve when it comes to the impact of AI language models (LLMs) on SEO. Natural Language Processing and Content Creation are one of the ways AI LLMs could impact SEO and how marketers should prepare for the SEO shift in 2023. It is a branch of artificial intelligence that focuses on the interaction between humans and computers using natural language. It involves the ability of machines to understand, interpret, and generate human language in a way that is meaningful and contextually relevant. It plays a significant role in various aspects such as Content Optimization. NLP can be used to analyze existing content and provide insights for optimization. AI-powered tools can identify keyword opportunities, highlight readability issues, suggest improvements for SEO, and provide recommendations for enhancing the overall quality of the content. Also, it’s important to note that while NLP has advanced significantly, it’s not perfect, and there are challenges such as bias in language models, potential misinterpretations, and the need for human oversight. Marketers should leverage NLP responsibly and ensure that the AI-generated content aligns with the brand’s voice and values.

Marc Bishop,
Director of Business Growth at WYTLABS

AI language models have already been impacting SEO strategies, and it’s likely that their influence will continue to evolve in 2023. A better understanding of User Intent is one of the ways AI LLMs may affect SEO and how marketers should prepare for the SEO shift. it refers to the improved ability of AI language models and search engines to decipher the true meaning behind user queries. AI LLMs can process language in a more contextual manner, taking into account the surrounding words and phrases to determine the meaning of a sentence or query. Also, with improved NLP, search engines can now interpret longer and more complex search queries, often known as long-tail keywords or conversational phrases.

Christopher Pappas,
Founder of eLearning Industry Inc

AI LLMs will impact SEO, but it won’t make it obsolete – While chatbots may become more popular, SEO can still provide value. Marketers should adapt by optimizing for AI recognition, exploring content licensing, and leveraging partnerships. Being proactive and innovative will also help SEO specialists thrive in the changing landscape.

Michaela Melo
Marketing at Musician Authority

Better Search Engine Results: AI LLMs are able to comprehend search questions more thoroughly and produce more precise search results. As a result, users may receive more pertinent and useful results from search engines, improving their overall search experience.

Daniel Florido,
Director of PixelStorm

Processing of Natural Language: AI LLMs are more able to comprehend and process natural language. Because of this, search engines may be able to better understand long-tail keywords, conversational searches, and user intent, resulting in a more precise match between user queries and content.

Jan Chapman,
Co-Founder and Managing Director of MSP Blueshift

The AI LLMs will have a variety of effects on SEO:

1. Content Creation and Optimization: AI may aid in more effectively producing high-quality, relevant, and entertaining content. To ensure that the material reflects the tone and objective of the brand, human involvement is still essential. Marketing professionals should concentrate on content planning, directing AI-generated material, and SEO- and relevance-optimizing it.

2. Natural Language Understanding: AI’s comprehension and creation of natural language is advancing. This can result in search engines favoring more conversational and contextually relevant information. Marketers should strive to produce content that, conversely, delivers value while responding to particular user searches.

3. Data Analysis and Insights: AI can swiftly analyze enormous volumes of data, enabling marketers to learn about user behavior, preferences, and trends. Marketers should use AI-driven analytics solutions to fine-tune their tactics based on real-time data.

4. Personalization and User Experience: Personalizing user experiences with AI can increase engagement and retention. Marketing professionals should concentrate on developing personalized experiences and content that appeal to specific users.

5. Voice Search and Featured Snippets: AI can assist in comprehending and optimizing material for speech queries as voice search expands. Additionally crucial to voice search outcomes are featured snippets. Content should be organized for highlighted snippets, and marketers should prepare for voice search inquiries.

6. Technical SEO and Automation: AI may automate technical SEO activities like metadata optimization and crawl analysis. Marketers must be aware of AI-powered SEO solutions that can automate technical optimization processes.

7. Ethical Considerations and Originality: There are concerns regarding the originality and authenticity of AI-generated material. Marketers should balance using AI to help them and continue providing authentic, original content that connects with their audience.

Deepika Adhikari
Technical Expert at The Nature Hero

Data-driven Storytelling in the Age of AI – AI integration will force SEOs to reexamine our role. Rather than chasing keywords, focus on uncovering patterns in data to construct new narratives. Surface counterintuitive insights that only technology can reveal. Specifically, AI tools can digest volumes of behavioral data, search trends, and content performance analytics to identify promising new topic opportunities and understand audience interests better than ever before. Let machines handle optimization while you concentrate on high-level strategy and creativity. The future of SEO is about scalable craftsmanship – using AI to understand our audiences’ needs better than they know themselves. Data will bring more empathy, not less. With AI, we can create incredibly personalized content at scale.

Jared Bauman,
Co-Founder of 201 Creative

The integration of AI LLMs (Autoregressive Language Model Transformers) into SEO is a burgeoning trend that’s poised to reshape the digital marketing landscape in 2023. Here’s an insightful look into this phenomenon:

1. Content Optimization: AI-Driven Keyword Research: Understanding: AI can analyze vast amounts of data to identify emerging keywords and search patterns. Action: Invest in AI-powered keyword research tools and regularly update content strategies based on insights. Content Tailoring: Understanding: AI can create content that resonates with specific audience segments. Action: Use AI to segment audiences and tailor content to individual preferences.

2. Semantic Search Enhancement: Understanding Context: Understanding: AI’s ability to interpret context allows for more nuanced search results. Action: Focus on creating content that provides comprehensive answers to user queries.

3. Personalization and User Experience: Personalized Recommendations: Understanding: AI can create a personalized browsing experience by recommending relevant content. Action: Implement AI-driven recommendation engines to enhance user engagement. Improved Site Navigation: Understanding: AI can predict user behavior to enhance site navigation. Action: Utilize AI to create intuitive site navigation that guides users to relevant content.

4. Predictive Analytics: Trend Prediction: Understanding: AI can forecast future search trends, allowing for proactive strategy adjustments. Action: Regularly analyze AI-driven trend predictions to stay ahead of the competition.

5. Ethical Considerations: Data Privacy: Understanding: The use of AI requires careful handling of user data. Action: Ensure robust data privacy measures and compliance with regulations. Algorithmic Bias: Understanding: AI models can inadvertently introduce bias. Action: Regularly review AI models to identify and eliminate biases.

6. Controversial Perspective: Potential Homogenization: Understanding: Over-reliance on AI may lead to a lack of originality. Action: Maintain a balance between AI-driven insights and human creativity.

7. Preparation for the Shift: Education: Understanding: Continuous learning about AI’s evolving role in SEO is essential. Action: Invest in ongoing education and training for marketing teams. Tool Integration: Understanding: Integrating AI-driven SEO tools can enhance marketing efficiency. Action: Explore and adopt tools that align with marketing goals. Collaboration: Understanding: Collaboration between marketers, data scientists, and AI experts is key. Action: Foster cross-functional collaboration for a holistic approach to AI-driven SEO. Ethical Approach: Understanding: Ethical considerations in AI implementation are vital. Action: Develop and adhere to ethical guidelines in AI usage.

8. Final Thoughts: Embrace the Change: AI LLMs are revolutionizing SEO, offering opportunities and challenges. Holistic Approach: Success lies in a balanced approach that combines AI insights with human creativity and ethical considerations. The integration of AI LLMs into SEO is reshaping the digital marketing landscape.

Lisa Shelby,
Senior Editor at

As a digital marketer and SEO expert, I believe that AI LLMs will significantly impact SEO in 2023. These advanced language models will revolutionize content creation, search engine rankings, and user experience.

Marketers should prepare for the SEO shift in 2023 by embracing AI LLMs, creating high-quality content, optimizing for voice search, and staying updated with AI-driven SEO tools and techniques. Adapting to the evolving AI-driven landscape will be essential to stay competitive and enhance search engine visibility.

Ali Husnain,
SEO Expert & Marketing Head at Reload UX

AI Language Models (LLMs) will impact SEO in 2023 by improving content generation, emphasizing natural language processing and user intent, and increasing the importance of ethical and personalized SEO strategies. Marketers should focus on creating valuable content, optimizing for voice search, staying updated on algorithm changes, leveraging AI tools, and building authority through quality backlinks to adapt successfully to the SEO shift brought by AI LLMs.

Chris Looney,
Chief Executive Office at SporesMD

One under-discussed yet critical LLM-driven SEO shift will be optimizing for semantic search. LLMs like ChatGPT have strong natural language understanding. They can parse queries based on meaning and intent – not just matching keywords. This will push SEO to focus more on conversational, contextual content that targets user intent. Keyword-stuffing and thin content will be less effective. Optimizing topics, tone, formatting, media, and structure will matter more. My key preparation is developing content that reads like an intuitive human conversation focused on helping the searcher. I’m also structuring pages to clearly signpost value throughout. The goal is to demonstrate authority and comprehension of each topic to match the semantic prowess of LLMs. This content will thrive as AI pushes search to favor pages that deeply satisfy intent.

Divad Sanders,
Founder and CEO at The Rebel Kulture

In the rapidly evolving landscape of SEO, AI LLMs are transforming the content generation process, offering a seemingly endless capacity to produce high-quality materials. While this can be seen as a boon for marketers seeking efficiency, it also poses a challenge. With easier access to quality content, the already oversaturated digital realm is bound to become even more competitive. Google, being at the forefront of search engine technology, has acknowledged this trend and responded with its innovative approach known as Google Perspectives. This platform seeks to mirror the dynamics of online forums, where human-generated content takes center stage. By emphasizing human perspectives, Google aims to preserve the uniqueness and authenticity that define valuable content. As AI LLMs become increasingly pervasive, the value of original human perspectives will undoubtedly rise. In this AI-driven era, capturing the essence of individuality and delivering compelling narratives will become paramount for digital marketers across industries. Striking the right balance between AI-generated efficiency and human creativity will be the key to stand out in this competitive landscape.

Jessica Bane,
Director of Business Operations at GoPromotional

I anticipate that the AI Language Model GPT-3 and other cutting-edge LLMs will have a big influence on SEO methods because I am the Head of SEO at Epos Now. These potent AI models are capable of producing highly relevant and interesting content that matches users’ search intentions. As a result, this may boost websites’ organic traffic and search engine rankings. However, there will be difficulties in assuring originality and upholding the distinctiveness of material as AI-generated content proliferates. To stand out in search results, SEO specialists will need to concentrate on producing useful, specialized, and original content that offers distinctive insights and opinions. Additionally, LLMs can assist SEO teams better understand user searches so that content can be optimized to precisely match user intentions. By incorporating AI LLMs as a supplemental tool in our SEO approach, we will be able to provide more relevant and targeted material to our audience, improving the visibility of our website and fostering business growth at Epos Now.

Oskar Nowik,
Head of SEO at Epos

AI LLMs will enhance the accuracy and efficiency of these activities by automating tedious and time-consuming processes such as identifying and fixing crawl errors, optimizing image alt tags, and structuring content in a more logical manner. They are also able to monitor algorithm updates quickly so that your clients remain competitive even when changes occur rapidly. By freeing up your team’s time from this type of old fashioned ‘manual labour’ they can focus on higher-level decision making with regards to writing unique and appealing content. There are of course new challenges posed by this technology when it comes to link building or local SEO strategies. AI models are now becoming increasingly adept at analyzing natural language and understanding context so they should be able to detect manipulative linking tactics which go against Google’s quality guidelines. I believe that incorporating an AI model into your technical SEO strategy could bring about many benefits including improved accuracy while also introducing new opportunities for growth and development in areas such as link building and local search engine optimization techniques, which will hopefully ensure long term success. I’m bullish that AI in SEO is a positive rather than a negative.

Jason Smit ,
CEO of Contentellect

The integration of predictive SEO and AI represents a significant advancement in the field of SEO, offering many of us powerful tools to stay ahead of the curve and enhance our digital strategies. By leveraging AI-driven insights, SEO professionals and marketeers can gain valuable foresight into upcoming trends and algorithm updates, which is crucial in the ever-evolving landscape of online search. One of the key benefits of predictive SEO lies in its ability to forecast trends. AI algorithms can analyze vast amounts of historical data, user behaviour, and market indicators to identify patterns and predict potential shifts in search engine algorithms. Armed with this information, we can make proactive adjustments to our strategies, ensuring that websites remain optimized and ranking well in search results. Also, AI will be able to conduct comprehensive website analyses, detecting any elements that might trigger penalties from search engine algorithm changes. By identifying these red flags in advance, businesses can rectify issues and avoid the damaging consequences of penalties, preserving online reputation and visibility. The predictive capabilities of AI extend beyond avoiding penalties; they also empower marketers to anticipate future trending topics. By recognizing emerging topics and user interests, businesses can create content in advance, ready to publish and capitalize on the surge in search traffic. This strategic approach enables companies to secure prominent search engine rankings for trending topics, driving organic traffic and maintaining a competitive edge.

Damien Buxton,
Director at Midas Creative

Personalization and User Engagement: Beyond just content generation and optimization, AI LLMs also have the capacity to personalize and engage with users. These sophisticated linguistic models are able to sift through mountains of user data, revealing patterns in people’s preferences and actions. This information is used by search engines and AI-driven platforms to provide users with relevant search results. For SEO experts, this means shifting focus to content that appeals to niche audiences in order to boost engagement metrics like click-through rates and average time spent on page. Marketers may increase SEO success, boost brand loyalty, and provide a more satisfying user experience by developing unique content for each individual customer.

Huzaifa Ghayas,
Head of Marketing at Money genius tips

Featured Snippet Optimization:* As featured snippets have become more prominent in SERPs, marketers have begun paying closer attention to how they may optimize for placement there. By determining which question-based searches are most likely to result in featured snippets, AI LLMs provide invaluable aid in this area. With this information in hand, SEO specialists can create pieces that more closely match the needs of the snippet box by providing instantaneous and succinct responses to the queries it poses. By using AI LLMs in the optimization process, we are able to fine-tune the content to the specifications of search engines’ featured snippets, hence increasing the website’s visibility and garnering more organic traffic. By aiming for featured snippets, websites can boost their reputation as reliable resources and rise in the search engine rankings.

Hamza Usmani,
Head of Marketing Money Genuis Tips

Personalization and User Engagement: AI LLMs have provided novel opportunities for content optimization, especially in the field of semantic search engine optimization. When it comes to SEO, keywords used to be king, but now it’s all about providing information that’s relevant to the user’s context. Websites may optimize their content with the help of AI-driven analysis since it understands the context and meaning of words. This guarantees that the content fully responds to user searches. By catering to what users are looking for, websites are viewed as reliable resources within their respective fields, earning them greater search engine ranks and more organic visitors. SEO experts who have access to AI LLMs can use semantic SEO to deliver relevant content to their target audience, increasing brand authority and credibility as a result.

Abdullah Zafar,
Head of Marketing Embed Wiz

Natural Language Processing (NLP) for Enhanced UX: Artificial Intelligence Logic Models (LLMs) have been crucial in reshaping the way people interact with search engines. Search engines can now better understand and interpret user searches thanks to their sophisticated natural language processing capabilities. AI-driven algorithms are getting better at natural language processing (NLP), which means they can provide users with more exact search results that meet their specific needs. When consumers’ inquiries are answered in a way that is both satisfying and relevant, the quality of their search engine experience improves. As AI LLMs take the reins, SEO experts can shift their attention to creating content that not only meets search engine algorithms but also truly resonates with their audience, resulting in increased loyalty from regular visitors.

Chris Stott,
Director | Seven Marketing

With the rise of AI LLMs, keyword research has become more in-depth and evidence-based. These sophisticated linguistic models are great at determining the most effective keywords and search phrases that people use while looking for a certain topic or product. Through AI-driven keyword analysis, SEO experts may better understand user intent and tailor their content to meet specific needs. By tailoring their content to the specific questions consumers are entering into search engines, websites can improve their chances of appearing higher in the search results. Marketers can use AI LLMs in keyword research to keep up with the rapidly shifting digital scene and capitalize on popular search phrases.

Artificial Intelligence Logic Models (LLMs) have been crucial in reshaping the way people interact with search engines. Search engines can now better understand and interpret user searches thanks to their sophisticated natural language processing capabilities. AI-driven algorithms are getting better at natural language processing (NLP), which means they can provide users with more exact search results that meet their specific needs.

When consumers’ inquiries are answered in a way that is both satisfying and relevant, the quality of their search engine experience improves. As AI LLMs take the reins, SEO experts can shift their attention to creating content that not only meets search engine algorithms but also truly resonates with their audience, resulting in increased loyalty from regular visitors.

Azzam Sheikh,
Digital Strategist at Carifex

AI LLMs, such as GPT-4, will have substantial implications on SEO strategies. With their ability to understand and generate human-like text, they can vastly enhance content creation – a key factor in SEO. Uniquely tailored content for specific buyer personas or segments could be generated at scale rapidly. Simultaneously, search engines are becoming more refined with AI advancements too, focusing on user intent rather than keyword usage alone. Thus marketers need to adapt both in how they create and optimize content. Companies should start by familiarizing themselves with these technologies and invest in training teams accordingly. Preparing quality data sets is also crucial for machine learning success. Additionally, the capability to monitor the technology’s output regularly becomes important to ensure that it meets brand goals and voice consistently besides being SEO-friendly. Avoiding over-reliance on automation is critical; while AI can aid scalability significantly it does not replace human empathy – an essential element of successful marketing communication. Thus striking a balance between utilizing advanced tech capabilities for efficiency while maintaining intrinsic human touchpoints will decide the triumph of upcoming transformations like AI LLMs’ integration into large-scale SEO strategies.

Andi Merovci,
SEO Team Lead at Ajroni Enterprises

Artificial intelligence LLMs, such as the astonishing GPT-3, have completely altered the content generation landscape. Search engine optimization specialists now have access to an effective tool that can easily produce high-quality, human-like content for all channels. Using these linguistic models, businesses may maintain an interesting and informative online presence by producing engaging content for websites, blogs, and social media. When SEO professionals have access to AI LLMs, they can better cater their content to the interests and preferences of their target audiences, which in turn boosts their search engine rankings. Artificial intelligence (AI) generated materials can give you a leg up in the increasingly competitive search engine results page (SERP) and user experience (UX) space.

Abdul Saboor Khan
Head of Marketing | Yo ur PCB

Wrapping it up

In the span of a few short years, AI LLMs have significantly influenced SEO. They have shifted the focus from keyword-based to context-based strategies, sparked the rise of semantic SEO, reshaped content creation, and enabled SEO strategies to be more user-centric and predictive.

AI LLMs have made it possible to create high-quality, relevant content at scale, understand and optimize for long-tail keywords, and automate technical SEO tasks. Additionally, they’ve unlocked new opportunities like advanced sentiment analysis, image and video SEO, and nuanced international SEO strategies.

The value of AI LLMs in SEO is immense. They reduce manual labor, streamline processes, enhance content quality, and provide valuable insights, making them an essential tool for any business wanting to improve its online visibility and rankings.

The potential of AI LLMs is also significant. As they evolve, we can expect them to become even more intelligent and versatile, playing a crucial role in the future of SEO.

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WinSavvy Editorial
WinSavvy Editorial consists of our SEO specialists and other team member, including our legal help who help skyrocket our client's growth on a daily basis. It includes Archisman, our experts' say head, Sowa, the one in-charge of our "Analysis" category and Ushashi, our head of all data-analysis content!
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