SEO in AI-Powered Search: What AI Overviews and GEO Really Change

AI-powered search doesn't change the fundamentals of SEO; what it changes is how visitors reach an answer and how you measure success. Google's AI Overviews and AI Mode features have been gradually rolling out in Turkey since February 2026. Google's own guide is clear: optimizing for generative AI search is optimizing for the search experience, which means it is still SEO. Most of the new methods sold under the name "GEO" add nothing to that foundation.

What are AI Overviews and AI Mode?

AI Overviews: An AI-generated summary that Google shows at the top of the results page for some searches. According to Google's announcement for Turkey, AI Overviews present the key information on a topic along with links where you can explore the sources. They only appear when Google's systems decide that generative AI will be especially helpful for that query. Meanwhile, ads still appear in dedicated spaces above and below the panel.

AI Mode: A search experience designed for longer and more complex questions that lets you go deeper into a topic with follow-up questions. Also, you can ask by text, voice or camera. Google explains that AI Mode breaks complex questions into subtopics and runs simultaneous searches for each of them ("query fan-out"). That's why an answer to a single question can show a broader and more varied set of links than classic search.

Timeline and the situation in Turkey

So for businesses in Turkey, this is no longer "something happening in the US." As of August 2026, these features also appear in Turkish-language searches, through the gradual rollout Google announced.

What is "GEO," and where did it come from?

The term "GEO" (Generative Engine Optimization) became widespread through an academic paper published in November 2023 and accepted to the KDD 2024 conference. The paper proposes methods for making content more visible in answers generated by search engines powered by large language models. It also reports marked increases in visibility in its own experimental setup.

In short, the concept is a serious research area. But it doesn't mean that a result measured in a research setting will hold exactly in Google's real ranking systems. Some of the services sold on the market as "GEO," "AEO" (Answer Engine Optimization) or "LLM SEO" present old SEO advice under a new name; others recommend tactics that Google explicitly says don't work.

What does Google say?

In its guide "Optimizing your website for generative AI features on Google Search," published in 2026, Google frames the topic like this:

• Optimizing for generative AI search is optimizing for the search experience, so it is still SEO. These features rely on Google's core ranking and quality systems.
• To appear in Google Search, you don't need to create new machine-readable files, AI text files, markup or Markdown. Google Search does not take files such as llms.txt into account.
• You don't need to break content into small chunks so AI can understand it better; there is no ideal page length.
• There is no special schema.org markup for AI search. Standard structured data is still useful for rich result eligibility.
• You don't need to switch to a special writing style just for AI.
• It recommends avoiding "AEO/GEO hacks" and inauthentic mentions, and being careful with third-party tools that claim to have access to Google's internal data.

Note that Google wrote this guide for Google Search. Other AI-based search tools such as ChatGPT and Perplexity have their own crawlers, rules and ways of selecting sources. But the common denominator doesn't change there either: accessible, clear, trustworthy and original content.

What doesn't change?

We covered these points in detail in our posts What is SEO? and the technical SEO checklist.

What changes for SEO in AI search?

1. Click habits on simple informational queries

For example, for questions with short answers, such as "What is X?", users can see a summary of the answer on the results page. As a result, for these queries it is no longer realistic to expect every impression to turn into a click to your site. Google, for its part, says that clicks from results pages with AI Overviews are "higher quality," meaning users are more likely to spend more time on the site. Still, this is Google's own observation; it's a claim you should check against your own data.

What it means for a business: content that only gives a definition, and that hundreds of other sites also offer, is becoming less valuable. On the other hand, content that explains your service, your process, your experience and the details that make a decision easier keeps its value.

2. Measurement

According to Google, the Search Console Performance report includes traffic from AI features under the "Web" search type, as part of overall search traffic. In June 2026 Google began rolling out reports to a group of sites that separately show how often your site appears (impressions) in generative AI features; these reports contain no click data. That's why it makes more sense to judge success not by the number of clicks alone but together with what visitors do once they arrive (forms, calls, quote requests).

3. Making content "quotable"

This is not a trick; instead, it's the natural result of good writing. Content that answers a question clearly in the first paragraph, whose headings each correspond to a single question, and that backs up its claims with sources is easier to understand for both readers and search systems. Similarly, Google's guide recommends not splitting content into chunks for AI but producing content that leaves visitors satisfied.

4. Preview controls

You can limit how much of your content appears in search results with nosnippet, data-nosnippet, max-snippet and noindex. Google says that more restrictive permissions will also limit how your content appears in AI experiences. However, because these controls also affect classic snippets, use them with care. In addition, the Google-Extended token in robots.txt manages the use of your content for training Gemini models and for "grounding"; according to Google, this token doesn't affect whether the site is included in Google Search and is not a ranking signal.

A practical checklist

1. Are your important pages indexed? Check in Search Console.
2. Does each page give a clear answer to a question? Let the first paragraph give the answer, with the details below.
3. Does the content include something no one but you could say? Real work examples, process, experience.
4. Are the author and business details clear? Who wrote it, who is responsible, how can they be reached?
5. Does your structured data match the visible content? Details in our post on structured data.
6. Do the title and meta description describe the page accurately? See what is metadata.
7. Is your Business Profile up to date? Address, hours, phone, services.
8. Is AI-generated content reviewed? Google says that using generative AI to produce many pages without adding value for users may violate its "scaled content abuse" spam policy.

Common mistakes

• Declaring "SEO is dead" and abandoning the basics: AI features rely on Google's core systems; if the foundation is weak, visibility will be weak too.
• Spending budget on llms.txt or "AI-specific" markup: Google Search doesn't use them.
• Mass-producing pages with AI: Scaled content that adds no value can fall foul of the spam policy.
• Fake mentions and reviews: Google explicitly warns against them.
• Looking only at clicks: Instead, assess impressions, conversions and visitor behavior together.

Our experience

The method we follow when writing this blog is also a summary of how to prepare for AI-powered search: every post answers the question in the first paragraph, followed by an "In short" box; headings each correspond to a single question; technical and legal claims are verified against sources such as Google Search Central, MDN and the Turkish Data Protection Authority (KVKK); and we don't use statistics without a source. On the site, we use Yoast SEO for structured data and the sitemap.

The same approach applies on our free learning platform Grafik Sanat (grafiksanat.com.tr): we explain each term with a short definition, a visual explanation and quiz questions, focusing on a single concept. This structure helps readers grasp the concept quickly, and it also helps any search system easily understand what the content is about.

It's possible to use AI as an assistant in the research and drafting stages of the content process, but verification, experience and the final decision should stay with people. We covered where AI is useful in business in our post AI for business, and how you can use it with your own data in What is RAG?

Frequently asked questions

Conclusion

AI-powered search doesn't make well-done SEO obsolete; on the contrary, it makes the difference between copied content and real information more visible. What changes is how visitors reach the answer and how you measure. A site with a solid foundation and original, well-sourced, up-to-date content keeps its chance of appearing in classic results, in AI Overviews and in AI Mode.

If you'd like to review your site from this angle together, take a look at our web design and WordPress development services, or get in touch with us.

AI reports in Search Console since August 2026