GEO - so AI answers mention you
People increasingly ask ChatGPT, Claude and Perplexity instead of opening ten tabs. GEO is the work of making sure the answer to such a question mentions you, and not only your competitor.
TL;DR
GEO (generative engine optimization) is optimisation for AI answers. Where SEO fights for a position in a list of links, GEO fights for a place in the answer itself. Three things matter: the site serves finished HTML, the structure lets a self-contained answer be lifted out of the text, and the business facts sit in machine-readable form (Schema.org, llms.txt). This is one-off work, not a retainer. Traffic from here is still smaller than from ordinary search - and that's an honest answer, not a caveat.
What does the work involve?
Specifics, no magic:
- Prerender and crawler access: the site serves finished HTML rather than an empty shell the browser fills in. Plus a check that GPTBot, ClaudeBot and others aren't blocked by your hosting
- Structure for extraction: question-form headings, a direct answer at the top, question-and-answer blocks
- Machine-readable facts: Schema.org markup - organisation, services, FAQ. Prices and terms as text, not as an image
- llms.txt - a short machine-readable summary of the business for AI crawlers
- Content for the questions people ask an AI, not a search box
The bulk of it is done once - when the site is built or reworked. This isn't a monthly service, and I won't sell it as a retainer.
Who is it for?
GEO makes sense if:
- you have a clear service and real expertise that can be stated as facts;
- your audience asks questions rather than searching for your brand name;
- you're willing to invest in a channel that's small now but growing;
- the site already exists and is presentable - otherwise GEO isn't where to start.
Who it isn't for: if you need leads right now, that's advertising. GEO is work for the future, and I won't pretend otherwise.
How is GEO different from SEO?
In the unit of result. For SEO it's a page position: someone saw a link and clicked. For GEO it's a fragment - a paragraph that answers the question in full and that a model can quote without losing the meaning.
That changes the work. For SEO the text is written around a query. For GEO the text is written so a ready answer can be taken out of it: a question as a heading, a short direct answer right below it, facts next to the claim rather than two screens away.
GEO doesn't replace SEO or cancel it. They work side by side, and a large part of the work overlaps.
Does traffic really come from there?
Honestly: less than from ordinary search, so far. The share of visits from AI answers is small, and promising you a stream of leads from ChatGPT would be a lie.
Two arguments for why it still pays off now. First, audience quality: someone who arrives on a recommendation from an AI answer has already had their question answered and comes to discuss the task, not to browse. Second, the cost of entry: while competitors barely do this, getting into the answer is cheap. Nobody knows how long that window stays open, but right now it is open.
A detailed breakdown is in the article "What GEO is and why your site should show up in ChatGPT".
What backs up the approach?
This site. Everything described above was tried here first: prerender to static, Schema.org across pages, llms.txt, a question-and-answer structure in the blog and on the service pages, RSS for every locale. The blog is a content engine built on the same principle.
I don't show other people's numbers and I don't promise you yours. I show a working proving ground you can open and check.
How much does it cost?
On request
The scope depends on what's already there. On a site I built, the base is in place and the work comes down to content and markup for questions. Someone else's site has to be looked at first: if it doesn't serve HTML to crawlers, that's where we start.
I price by a list of work. Payable in any currency at the current rate - bank transfer, SBP, Payme, Click, crypto.
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