What GEO Is and Why Your Site Should Show Up in ChatGPT

July 27, 20264 min readРустам · INSITE

TL;DR

GEO is optimizing a site for the answers AI models give: ChatGPT, Gemini, Perplexity, Google's AI overviews. Unlike SEO, the goal is not a spot in a list of links but a place in the answer itself. What works: direct answers to questions, structure, business facts in machine-readable form.

What GEO Is, in Plain Words

GEO is generative engine optimization, optimization for generative engines. If SEO fights for a spot in a list of links, GEO fights for a spot in the ready answer the AI model produces.

The difference is in how people behave. People used to type a query into Google, open five tabs, and compare. Now they increasingly ask ChatGPT, Gemini, or Perplexity (in the CIS also YandexGPT and DeepSeek) and get one ready answer with a couple of sources. They never see the list of links at all. Your search position at that moment means nothing - the only thing that matters is whether your site made it into the answer or not.

How GEO Differs from SEO

GEO does not replace SEO, it works alongside it. SEO decides whether a search engine finds you and shows you in the results. GEO decides whether a language model can pull a specific fact from your site and cite it.

The difference is in the unit of the result. For SEO it is the page's position. For GEO it is a fragment: a paragraph that answers the question in full and can be lifted out of context without losing its meaning. That is why GEO optimizes not "a page for a keyword" but specific answers to specific questions.

What You Technically Need to Do

Here are the specifics, no magic. The first and most underrated thing: a site must return real HTML, not an empty shell that scripts draw in the browser. Many modern sites are built so that a person sees the content while a crawler gets an empty page. This is fixed with prerendering or a static build.

Second: structure for extraction. Headings as questions, a short direct answer at the start of the material, a block of questions and answers. The model looks for a self-sufficient fragment - give it one.

Third: machine-readable facts. Schema.org markup (organization, services, FAQ), current contacts, prices and terms in the text and not only in an image. Plus an llms.txt file - a short machine-readable summary of what you do, for AI crawlers.

Fourth, something almost no one thinks about: access for AI crawlers. GPTBot, ClaudeBot, and other bots must get a normal response from your hosting, not a block. On some hosts and cloud protections they are closed by default - and for AI models the site simply does not exist. This is checked in five minutes and fixed with a single request to your host.

Is It True That Traffic Comes from There?

The honest answer: for now less than from regular search. The share of visits from AI answers is small, and promising you a flow of leads from ChatGPT would be a lie.

But two things make this work worthwhile already now. First: the quality of the audience. A person who came on a recommendation from an AI answer has already gotten the answer to their question and comes to the site deliberately, not to check five tabs. Second: almost everything done for GEO simultaneously improves regular SEO and readability for people. Clear answers, structure, speed, markup - this is not a separate budget, it is a site done properly.

Where to Start If You Already Have a Site

Check three things in order. Whether your site returns ready HTML - open the page source and look for the article text; if it is empty there, no need to go further. Whether your hosting blocks AI crawlers. Whether the site has direct answers to the questions your clients ask - or only a description of services in general terms.

After that come markup, llms.txt, and reworking the structure around questions. This is one-time work, not a subscription - the main part is done once, when the site is built or improved.

How I Do It

For me GEO is not a separate bait service but part of how I build sites. Prerendering into static so crawlers see the text. Schema.org and llms.txt. A "question - answer" structure where it fits.

My own site and this blog are my testing ground: everything described above was first tried out here. If you want to understand whether AI models see you, write to me - I will look at your site and tell you specifically what is getting in the way, even if we never end up working together.

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