Generative Engine Optimization (GEO) Services
Generative Engine Optimization is the practice of making a business recognisable and recommendable to AI systems like ChatGPT, Perplexity and Gemini. Where AEO targets a single extracted answer, GEO targets the broader judgement an AI makes when a user asks it to recommend or compare options in a category.
A different kind of search behaviour
A growing share of buying research now starts with a conversation rather than a query. Someone asks an assistant to recommend a good agency for a particular need, or to compare two providers, and acts on the handful of names that come back. There is no results page to rank on — there is a shortlist, and either you are on it or you are not.
What determines inclusion is different from what determines ranking. The model has to recognise the business as a distinct entity, associate it confidently with a category, and find enough corroborating information to mention it without hedging.
What GEO work actually changes
The foundation is entity clarity: the business described consistently, in the same terms, everywhere it appears. Organization schema that states plainly what the company is and does. A category definition on the site that explains the space in the language a user would use when asking about it.
The second half is corroboration. Models weigh consistency across sources, so matching details across directories, profiles and any coverage of the business matter more here than they do for conventional ranking.
- Organization and Service schema with explicit service taxonomy
- A machine-readable llms.txt summary of what the business does
- Plain-language category definitions on the site
- Consistent naming, description and contact details across every profile
- Decision-criteria content — who the business suits and who it does not
- Honest comparison content positioning the business against alternatives
Why stating what you are not helps
Counter-intuitively, documenting the cases a business is a poor fit for improves how reliably AI systems recommend it. Clear boundaries help a model distinguish between categories, which makes it more confident naming the business where it does fit.
A site claiming to serve everyone gives a model nothing to match against. A site that says plainly which problems it solves and which it does not is far easier to place correctly.
What you get
- Entity audit — how consistently the business is described across the web
- Organization, Service and WebSite schema implementation
- llms.txt authored for AI crawler consumption
- Category definition and decision-criteria content
- Comparison content against realistic alternatives
- Baseline and periodic testing of how AI assistants describe the business
Who this is a good fit for
- Businesses in categories buyers research before contacting anyone
- Companies with an inconsistent or thin presence across the web
- B2B and considered-purchase services
- Anyone wanting to know how AI assistants currently describe them
Frequently asked questions
What is the difference between GEO and AEO?
AEO targets a specific extracted answer to a specific question — a featured snippet or a quoted passage. GEO targets the broader judgement an AI makes when recommending or comparing options in a category. AEO is about being quoted; GEO is about being recommended.
Can you control what ChatGPT says about my business?
No, and nobody can. What you can influence is the information available to be drawn on: accurate structured data, consistent descriptions across sources, and content that states plainly what the business does. Models synthesise from what exists, so improving what exists is the available lever.
How do I know if GEO is working?
By testing. A set of relevant prompts is run across the major assistants at a baseline and re-run periodically, recording whether the business is named, how it is described and whether that description is accurate. It is a sampling method rather than a precise metric, which is worth stating plainly.
Is GEO worth doing for a small local business?
It depends on how customers find you. If most arrive through local map searches or referrals, local SEO deserves the budget first. If customers research providers before reaching out, GEO is increasingly where that research happens.
Do AI crawlers need to be allowed on my site?
Yes. If robots.txt or a network-level bot setting blocks GPTBot, ClaudeBot, PerplexityBot or similar crawlers, your content cannot inform those systems. Checking and correcting crawler access is one of the first things worth verifying.
Related services
Want to know if this is right for your business?
Book a free strategy call. We will look at where you are now, what you are spending, and whether generative engine optimization is actually the thing that will move your numbers — or whether something else should come first.