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What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the work of making a business easy for generative AI systems to find, understand, verify, and cite. A generative engine does not return ten links and stop. It reads sources, resolves them into a record of each business it finds, and writes an answer in its own words that names the businesses the answer rests on. GEO is the discipline of being one of those sources: present in the index, legible to the reader, corroborated by the other sources, and quotable in the answer.
What is a generative engine?
A generative engine is a system that writes its answer instead of only ranking other people's pages. Google AI Overviews, ChatGPT, Perplexity, and Gemini are the four your buyers use most. Each combines retrieval, the fetching of candidate sources from a search index and the live web, with a language model that composes the reply. Classic search ended with a list a human had to read. A generative engine reads the list, and several pages under it, and hands the human a finished paragraph with names in it.
That last step is why the discipline exists. The paragraph is generated, and generation has inputs. A business that appears in the inputs with clear, corroborated facts has a chance of appearing in the paragraph. A business that is absent from the inputs, or present only as confused fragments, is written out of the answer before the answer is written.
How does a generative engine find a business?
Finding starts with crawling. Search crawlers and AI crawlers fetch your pages and build the indexes retrieval draws from. OpenAI sends GPTBot and its search crawlers, Anthropic sends ClaudeBot, Perplexity sends PerplexityBot, and Google and Microsoft read your site for search and for the AI surfaces built on search. robots.txt governs all of them. A site that blocks the AI crawlers, whether by decision or by a copied template default, has removed itself from those engines' sources.
Finding also runs on material gathered earlier. Language models carry a training record of the public web, and a business described consistently for years sits inside that record. Live retrieval corrects and updates the training record only when current sources are reachable. A business that changed its name, its category, or its address has two records running until the live sources are strong enough to settle which one the engine should repeat.
How does a generative engine verify a business?
Verification is corroboration. A fact stated on your website carries more weight when the same fact appears on your Google Business Profile, your listings, and independent pages that mention you. The engine is resolving many sources into one entity record, and it trusts the version of each fact that the sources agree on. Consistency is therefore not tidiness. It is the mechanism by which a fact becomes usable.
Structured data plays a specific role here. Entity schema on your pages declares, in machine-readable form, that this organization is the same one named on those profiles, that this person leads it, and that these are its services and prices. Schema does not replace the visible page, and on this site it is never allowed to say anything the visible page does not say. It confirms the page, in a form the resolver can read without guessing, and confirmed facts are the ones that survive into the generated answer.
How does a generative engine cite a business?
Citation takes two forms. Some engines print their sources: Perplexity and Google AI Overviews show the pages behind the answer, and being the cited page is direct evidence of use. Other surfaces name businesses inside the generated text with no link attached, and on those surfaces being named is the citation that matters, because the name is what the buyer acts on.
Both forms reward the same property: citability. A fact stated plainly, in one place, in the language of the question is liftable. A fact implied across three pages, visible only inside an image, or contradicted somewhere else on the site is not. Direct-answer blocks, honest FAQ content, published prices, and an llms.txt file all exist to make a business's facts liftable. The engine quotes what it can quote, and summarizes the rest from whoever stated it clearly.
What does GEO change in practice?
The working checklist behind every Gerris engagement follows the pipeline in order:
- Find: AI crawlers welcomed by name in robots.txt, pages fetchable as plain HTML, a sitemap and an llms.txt that tell every crawler where the record lives.
- Understand: a canonical page stating the category, services, place, and prices, with question-led headings and direct answers in the words buyers use.
- Verify: entity schema with sameAs links, and the same name, address, phone, category, and services on the website, the Google Business Profile, and the listings.
- Cite: facts written in liftable form, FAQ answers that say something specific, and third-party sources that repeat the same story.
- Measure: the money questions re-asked across Google AI Overviews, ChatGPT, Perplexity, and Gemini on a monthly schedule, with the answers recorded in writing.
How is GEO different from AEO and SEO?
The three terms describe layers of one foundation, and Gerris keeps the distinction simple. SEO gets a page found and ranked by search engines: crawling, indexing, speed, and structure. GEO gets a business found, verified, and cited by generative systems: the pipeline this guide describes. AEO gets the business named, accurately, inside the answer that results, and the AEO guide covers that layer. A business rarely needs one layer without the others, because the answer is built from the index, the index is built from the crawl, and the crawl reads the same site your customers do.
Frequently asked questions
What is the difference between GEO and AEO?
GEO is about the pipeline: whether generative AI systems can find your business, understand what it is, verify its facts, and cite it. AEO is about the result: whether the written answer names your business and describes it accurately. The work overlaps almost completely, and a business that does one without the other usually has a gap in the record somewhere.
Do AI crawlers need permission to read my website?
Yes, in effect. Crawlers such as GPTBot, ClaudeBot, and PerplexityBot follow robots.txt, and many business websites block them by accident through copied templates or firewall defaults. A blocked crawler means your pages are absent from that engine's sources. Gerris welcomes the AI crawlers by name on this site and checks the same setting on every client site.
What is llms.txt?
llms.txt is a plain text file at the root of a website that states, in machine-readable text, what the business is, what it sells, and where the key pages are. It is written for language models the way a sitemap is written for search crawlers. This site publishes one, and the Claim Sprint builds one for clients.
How do I know if a generative engine can verify my business?
Ask it. Put your business's category and city into ChatGPT, Perplexity, Gemini, and Google AI Overviews and read what comes back: named or missing, facts right or wrong, competitors named instead. Then check whether your website, Google Business Profile, and listings tell the same story. Disagreement among those sources is the usual reason verification fails.
Read next: What is answer engine optimization (AEO)? and How do AI answers choose which businesses to name?