3 min read
What is generative engine optimization (GEO)?
People now ask ChatGPT as much as Google. Here is what your site needs in order to appear in those answers.
When a customer asks "can you recommend a good supplier in Adana?", the answer no longer always comes from ten blue links. ChatGPT, Gemini, Perplexity and Google's AI overviews read the question and compose an answer in their own words. If your name appears in that answer, you have won; if it does not, your ranking position matters very little in practice.
GEO — generative engine optimization — is the work of making your site readable and quotable by these answer engines. It does not replace SEO; it sits on top of it. The technical foundation is the same, but the measure of success is different: not ranking, but being CITED.
The most common mistake first
Many sites block AI crawlers without realising it. A single line in robots.txt can mean your site never appears in ChatGPT's answers. These crawlers fall into two groups, and it is important not to confuse them:
- Answering crawlers (OAI-SearchBot, ChatGPT-User, Claude-User, PerplexityBot): they read your site at the moment a user asks something and cite it as a source. If you want visibility, these must be allowed.
- Training crawlers (GPTBot, ClaudeBot, Google-Extended, CCBot): they collect your content to train models. Blocking these is a legitimate choice and does not directly affect your visibility.
What do answer engines quote?
When a language model reads your page it is looking for one thing: a self-contained passage that directly answers a question. Marketing sentences are poor candidates, because they say nothing once removed from their context. "We are the industry leader" does not get quoted; "delivery time for a corporate site depends on scope; a five-page brochure site usually takes three to four weeks" does.
The most practical consequence: break your content up with question-shaped headings. If a heading is a question and the paragraph directly under it answers that question, you have made the model's job easy. That is why an FAQ section is not decoration; it is infrastructure.
The layer machines read
Your page also has a version the human eye never sees. Search engines and answer engines learn from this layer what your business is, where you are and which questions you answer:
- Structured data (JSON-LD): business type, address, services, frequently asked questions. A definition that leaves nothing to interpretation.
- Sitemap (sitemap.xml): which pages exist. Without it, new pages go undiscovered for a long time.
- llms.txt: a newer file that hands over a plain-text map of the site. Not yet a required standard, but sites that have one stand out.
- Canonical URL: which address counts when the same content appears at several.
Can any of this be measured?
Partly. Your site's technical readiness is fully measurable: a file is either there or it is not, a crawler either can read it or cannot. You can see all of that in minutes with our free Site Audit.
The hard part to measure is the outcome itself: whether your brand actually appears in the answers. That requires asking your own questions regularly and recording what comes back — there is no standard tool for it today. Nobody can guarantee you a top position in AI search; the only honest promise is to make your site readable and quotable.