GEO Is Just SEO: How Brands Really Get Into AI Answers

Posted on Nov 1 • Originally published at sedatpehlivanturk.com

Originally published at sedatpehlivanturk.com.

Over the past year, "GEO" (Generative Engine Optimization) has been sold as a new discipline. New files, new formats, tricks that "convince" AI. When I look at it as an SEO, I see something different: AI assistants run a search before they write an answer. And the way to be visible in a system that searches is still SEO.

I am not the only one saying this. In its official guide published in May 2026, Google says that optimising for generative AI search is "still SEO". In this article I explain why, with a test I ran on my own name and with the layer that really decides the outcome: the entity.

A language model can know about a brand in only two ways.

There is no third door. A question I hear often is: "If I tell a chatbot about my brand, will it recommend it to other users?" No. What you say in a chat stays in that chat. The model will not tell another user, "someone told me about this brand the other day."

In practice, the meaning is simple. For a new or small brand, the only realistic route is live search. And live search means a search engine.

Before an AI assistant writes an answer, it searches like a person does. Google says this openly: AI Overviews and AI Mode are built on its core ranking and quality systems. They split a complex question into several smaller searches. This is called query fan-out.

So the rule does not change: a page that is not in the search results will not be in the AI answer either. The only thing that changes is the question "which search results?"

So each AI looks at a different set of search results. A site that does well in Google will not automatically be found in Perplexity.

Query fan-out also creates an opportunity. A question like "best technical SEO consultant" can turn into several narrower searches in the background. You do not need to be on page one for the main keyword. If you are strong in one of the smaller searches, you can still be cited. The work is still SEO, just across the whole topic rather than one keyword.

Being found is not enough. To be recommended, the AI has to identify you correctly. This is the entity layer: working out which person, brand or company a name belongs to.

I tested this with my own name. My site went live in October 2026. I asked three AI assistants the same question: "Who is Sedat Pehlivantürk?"

Perplexity's first answer is a typical case of entity confusion. In its index, the strongest sources carrying my name were social media profiles, and they were not about me. At the time, my site was not ranking in Bing yet. ChatGPT and Gemini, on the other hand, connected my site and my contributions on a professional association's site, and found the right person.

Then I checked Cloudflare's AI crawler report. My site does not block any bot. Over the last 30 days, the numbers looked like this:

This matches the test exactly. ChatGPT and Gemini, whose crawlers visit my site, identified me correctly. Perplexity, whose crawler never came, mixed me up with someone else. Leaving the door open is not enough; the bot has to come in and add you to its index.

So how do you get a bot to visit? There is no "submit your site" button for OAI-SearchBot or PerplexityBot. Crawlers find your site through links on pages they already crawl. For Bing you have Webmaster Tools and IndexNow. For the others, the only way is to be mentioned and linked on other sites. Even attracting AI crawlers comes down to classic SEO: discoverability and links.

The difference is whether sources confirm each other. When several independent sources describe the same person in the same way, the model can build an entity. When there is only one weak source, someone with the same name can come out ahead.

None of this is "AI-specific". It is the same thing Google has asked for its Knowledge Graph for years.

Most of what is sold as GEO is either old SEO with a new name or an idea with no proof behind it. Google's guide addresses several of them one by one.

The Agentic Browsing section in PageSpeed Insights is also often misread. It arrived with Lighthouse 13.3 in May 2026 and is still under development. It checks the accessibility tree, layout shift (CLS), WebMCP and llms.txt. Its purpose is to help an AI agent move around a site and fill in forms. It is not about whether an AI recommends you, and Google has not announced it as a ranking factor.

In short: being found and being recommended are SEO and entity work. Agents being able to act on your site is a separate technical topic.

There is no single ranking report for AI visibility, but you can measure the parts.

GEO may be a new name, but the work is old. Make sure search engines can find you and identify you correctly, and AI will find you too.