A generative engine optimization agency that works the citations, not just the checklist
What generative engine optimization actually is
Generative engine optimization — GEO — is the work of getting a brand named inside the answer a generative engine produces, rather than inside the list of links beneath it. The engines in question are ChatGPT, Google’s AI Overviews and AI Mode, Perplexity, Copilot and Gemini. Each one composes an answer from retrieved sources, so the question stops being where do we rank and becomes which sources does it read, and do they mention us.
That difference is the whole discipline. A traditional ranking is a position you hold. A generative answer is a paragraph someone else wrote about your category, and your name is either in it or it is not. There is no page two to be consoled by.
How GEO differs from SEO in practice
The unit of success is a mention, not a position
Three or four brands get named in a typical answer. Position eight on a SERP still earns some clicks; not being named earns nothing, and the buyer never learns you existed.
Third-party sources carry more weight than your own
A model treats your own marketing copy as a weak claim and a trade publication as evidence. This inverts the usual agency instinct to fix the website first and worry about coverage later.
Answers are extracted, so phrasing matters more than length
A clean, self-contained statement of fact is liftable. The same fact spread over a page of narrative is not. Long-form still helps discovery; it is the sentence-level clarity that gets quoted.
The result is non-deterministic
Ask the same question twice and the answer may differ. Anything measured from a single run is anecdote. GEO measurement has to be a repeated prompt set read as a trend.
Freshness and consensus beat backlink volume
Retrieval favours sources that agree with each other and were updated recently. A decade-old authoritative page can lose to three recent ones that say the same thing.
How a GEO engagement runs
1. Baseline the prompts. A fixed set of buying-intent prompts for your category, run across the engines that matter to you. We record whether you were named, who was named instead, and every source each answer cited. Without that source list the rest is guesswork.
2. Repair the on-site half. Answer-shaped content for the questions the prompts revealed, consistent entity data across your site and profiles, structure and schema that agree with what is visible on the page. Weeks, not months.
3. Work the cited sources. Not a generic media list — the specific publications, roundups, review sites and communities that appeared in step one. This is earned media with a target list derived from measurement, and it is the part that actually moves a generative answer.
4. Re-run the prompt set on a schedule. Same prompts, same engines, tracked over time, reported alongside Search Console so the classic surface and the generative one are never blended into one number.
Who this suits
Considered-purchase categories where a buyer asks an assistant for a shortlist before shortlisting themselves — B2B services, software, healthcare, financial services, professional services. It suits companies who can live with a programme whose first honest report may say you are not named anywhere yet.
It suits you least if you want a guarantee. Nobody controls these outputs, and an agency claiming otherwise is selling something it cannot deliver.
GEO sits alongside answer engine optimization, which covers direct answers of every kind rather than only generated ones. Both run under the same AI SEO engagement when a brand needs the whole surface rather than one slice of it.
What generative engine optimization services include
Generative engine optimization services are usually sold as a bundle, and the bundles differ more than the names suggest. Ours covers four things, and it is worth checking any other proposal against the same four.
Measurement. A fixed prompt set, run across the engines that matter in your category, recorded with the sources each answer cited. Without the source list, every later decision is a guess.
On-site remediation. Answer-shaped content for the questions the prompts revealed, consistent entity data across your site and profiles, and structure and schema that agree with what is visible on the page.
Citation work. Earned media aimed at the specific publications, roundups and communities that appeared in the measurement — not a generic media list. This is the slow half and the half that moves a generative answer.
Re-measurement. The same prompts, the same engines, on a schedule, reported separately from organic search so it stays obvious which surface is moving.
A proposal that covers only the second of those four is an audit with a longer name.
Frequently asked questions
It works to get your brand named inside the answers generative engines produce. In practice that means three things: measuring which prompts in your category currently surface you and which sources those answers cite; fixing the on-site problems that stop a model quoting you cleanly — ambiguous entity data, buried answers, structure and schema that disagree with the page; and running an earned-media programme aimed specifically at the sources the measurement identified. The third is the slow part and the part that moves the result.
SEO optimises for a position in a ranked list of links. GEO optimises for being named inside a single composed answer, where only a handful of brands appear and there is no second page. They share foundations — a crawlable, credible, well-structured site helps both — but they diverge on weighting. GEO leans much harder on third-party citation, because a generative engine treats a brand describing itself as a weak source and an independent publication as a strong one.
A prompt-set baseline across the engines relevant to your category; an on-site remediation pass covering answer structure, entity consistency and schema; a citation programme targeting the specific sources your category’s answers draw from; and scheduled re-measurement reported separately from organic search. Some agencies stop after the on-site pass because it is quick and demonstrable. It is also the half that changes the least.
By running the same fixed prompt set across the same engines on a schedule, and recording three things each time: whether your brand was named, which competitors were named instead, and which sources the answer cited. Because outputs vary run to run, the measurement is the trend across the set, never a single check. We report it next to Search Console rather than blended into it, so it stays obvious which surface is moving.
No. Generative outputs are non-deterministic and the providers change retrieval and ranking behaviour without notice or documentation. What can be committed to is the work and the measurement: a recorded baseline, the on-site fixes, a citation programme aimed at sources identified by measurement rather than by habit, and honest reporting of what shifted and what did not.
Find out whether the engines name you at all
A baseline prompt run answers that in a few days, and tells you whether the gap sits on your site or in the sources these engines read.