Generative Engine Optimization: How to Get AI to Recommend Your Business
By Steve · updated September 2026
A customer used to search, scan ten blue links, and click yours. Now they ask an AI and get one answer with two or three businesses named in it. If you are not one of them, you were never in the running. Generative Engine Optimization, GEO, is the work of becoming one of the names. It is not a rebrand of SEO and it is not magic. Here is what it actually involves, in the order I do it for a client.
- GEO earns a mention, not a ranking. There is no page two of an AI answer.
- Check your robots.txt first. Blocking AI crawlers is common, accidental, and total.
- Write in self-contained passages under question-shaped headings. Models quote passages.
- Corroboration across independent sources is what makes a business safe to name.
- Measure by asking the models the same buyer questions every month and logging who gets named.
What GEO is, and how it differs from SEO
SEO earns a ranking. GEO earns a mention. That difference changes almost everything about the work.
A ranking is positional: you are third, you move to second. A mention is binary: the model names you or it does not. There is no page two of an AI answer. This is why businesses that rank respectably on Google can be completely invisible in ChatGPT, and why a small business with thin rankings sometimes gets named constantly. The models are not reading your rankings. They are reading text, and deciding which text answers the question.
The second difference is the source. Google shows you its own index. An AI answer is assembled from training data, from live retrieval, and from whatever the model considers a trustworthy corroboration. You are not optimizing one system, you are trying to be the consistent answer across several.
- SEO asks: does this page deserve to rank for this query?
- AEO asks: is this the direct answer, worth a snippet or a voice result?
- GEO asks: when a model writes a paragraph about this topic, does it name you?
First: make sure the AI crawlers can actually read you
This is the step most people skip, and it is the one that silently costs the most. Many sites block AI crawlers without knowing it, either through a default in a security plugin, a Cloudflare bot rule, or a robots.txt someone copied from a template in 2023 when blocking GPTBot was fashionable.
Open your own robots.txt right now and read it. If GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot or Google-Extended are disallowed, you have decided not to exist in AI answers. I have found this on sites whose owners were paying an agency for AI visibility at the same time.
Then check that your content is in the HTML, not assembled by JavaScript after load. Google renders JavaScript. Most AI crawlers do not, or do it inconsistently. If your services only appear after a script runs, the model sees an empty page.
- Visit yourdomain.com/robots.txt and confirm the AI user agents are allowed.
- View source on your key pages, not the inspector, and search for your own service names.
- Add an llms.txt at your root: a plain summary of who you are, what you sell, and where the important pages live.
Write in passages a model can lift
Models quote passages, not pages. A 2,000 word article with the answer buried in paragraph eleven loses to a 300 word section that answers the question cleanly under a heading that matches it.
The practical rule I follow: every question a customer actually asks gets its own heading, and the sentence immediately under that heading answers it in full, without needing the rest of the page for context. Then you elaborate. This costs you nothing stylistically and it is the single highest-return change in GEO.
Be specific in ways that are checkable. Numbers, prices, dates, place names, model numbers. Vague marketing language gives a model nothing to grab. "Affordable pricing" is unquotable. "Setup runs $1,500 to $4,000 depending on catalog size" gets quoted.
- One question per heading, phrased the way a customer would ask it.
- Answer in the first sentence under the heading. Elaborate after.
- Include the specifics: figures, timeframes, named places, real constraints.
Corroboration: the part you cannot fake on your own site
A model is reluctant to assert something that only one source claims, and that source is you. What makes a business safe to name is agreement across independent sources.
That means your business facts need to match everywhere they appear: your site, your Google Business Profile, the directories, the industry associations, the local press, your suppliers' dealer pages. A name spelled three ways across three sources does not accumulate into one confident answer, it splits into three uncertain ones.
Reviews matter here for a reason people miss. Review text is customer-written corroboration in natural language. When forty people independently write that you do custom hat shaping, that is a far stronger signal than your own page saying so.
- Fix your name, address and phone so they are byte-identical everywhere.
- Claim the profiles you have ignored: Bing Places, Apple Business Connect, the industry directories for your trade.
- Ask for reviews that describe what you did, not just how it felt.
Structured data, because it removes ambiguity
Schema markup does not make a model like you. It removes the guesswork about what you are. LocalBusiness, Product, FAQPage, Organization: these turn prose into facts a machine does not have to infer.
The one that earns its keep fastest for most businesses is FAQPage on the questions you already answer on the phone all day, plus LocalBusiness with accurate hours and service area. For anyone selling products, Product with real availability, because nothing destroys trust faster than being recommended for something you stopped carrying.
Measure it, or you are guessing
GEO has no Search Console. You measure it by asking. Every month, put the same set of buyer questions to ChatGPT, Gemini, Perplexity and Google's AI answers, and record who gets named. That log is your ranking report.
Track three things: whether you are mentioned at all, whether the facts about you are right, and who is being named instead of you. The third one is the most useful. It tells you which competitor's content the models find easiest to quote, and usually why.
- Build a list of 15 to 25 questions a real buyer would ask before choosing you.
- Run them monthly, same wording, and save the answers.
- Log every wrong fact about your business and go fix the source it came from.
What I would not spend money on
There is a growing market in GEO products that promise to inject your brand into AI answers. Tools that spam pseudo-citations, networks that generate corroboration on fake sites, services that promise a guaranteed mention. Skip them. The models are built by people whose full-time job is detecting exactly that, and the cleanup costs more than the work you skipped.
There is also no such thing as a guaranteed position in an AI answer. Anyone selling you one is selling you a screenshot.
Frequently asked questions
Is GEO replacing SEO?
No. They feed each other. Pages that rank well are more likely to be retrieved and quoted, and content built to be quotable tends to rank well because it answers the question directly. What is changing is that ranking alone no longer guarantees you are seen, because a growing share of searches end in an answer instead of a click.
How long does GEO take to show results?
Crawler access and structured data can change what a model says about you within weeks, because live retrieval picks it up. Corroboration across sources and review depth take months. I tell clients to expect the first measurable change in a monthly check at around 60 to 90 days.
Do I need to be a big brand for AI to recommend me?
No, and this is the part that favors small businesses right now. For local and specific queries, the models need a specific answer, and a small business with clear, consistent, well-corroborated information often wins over a large one whose information is generic.
Does blocking AI crawlers protect my content?
It stops your content being used, and it also stops you being recommended. That is a real tradeoff and for some publishers blocking is the right call. For a business that wants customers, it is almost always the wrong one.
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