Get cited by the AI that answers for you.
Generative Engine Optimization is the work of making sure that when someone asks ChatGPT, Perplexity, or Google’s AI what to use, your brand is in the answer. We structure your content so AI engines understand it, trust it, and cite it.
A growing share of questions never reach a page of results. People ask an assistant and get one answer, assembled from the few sources it chose to trust. If you are not in that answer, you are invisible at the exact moment a decision is made.
GEO audit
We map the questions that matter to your business and test how ChatGPT, Perplexity, Gemini, and Google AI Overviews answer them today — and whether you are mentioned at all.
Answer-first content
Your content restructured to lead with clear, quotable answers a model can lift without distorting them — the single biggest lever for being cited.
Structure & schema
Descriptive headings, FAQ blocks, and schema.org markup that make every page machine-readable, so engines understand exactly what they are reading.
llms.txt & technical setup
An llms.txt file and the technical groundwork that point AI crawlers at your best content and keep it easy to retrieve.
Entity & corroboration
Consistent facts about your brand across the web, plus a plan to earn mentions in the third-party sources models already trust.
Citation tracking
Ongoing measurement of when and how engines cite you, with share-of-voice against your competitors, so GEO becomes something you can improve deliberately.
Audit
We define your target questions, test how AI engines answer them now, and find the gaps where you are missing or misrepresented.
Structure
We rewrite and restructure your content answer-first, then add the schema, FAQ markup, and llms.txt that make it machine-readable.
Corroborate
We align the facts about your brand across the web and pursue mentions in the sources engines already read and trust.
Measure
We track citations across the major engines on a regular cadence and iterate — GEO compounds, so the work keeps paying off.
What is generative engine optimization (GEO)?
GEO is the practice of structuring and writing content so AI answer engines — such as ChatGPT, Perplexity, and Google AI Overviews — understand it, trust it, and cite it in their answers. Where SEO optimises for ranking in a list of links, GEO optimises for being named in a generated answer.
How is GEO different from SEO?
SEO earns a ranking in a list of links; GEO earns a citation inside an AI-generated answer. They share fundamentals — clarity, clean structure, credibility — but GEO adds answer-first writing, llms.txt, entity consistency, and citation tracking, and it is measured differently.
Which AI engines does this cover?
We test and optimise for the engines your audience actually uses, including ChatGPT, Perplexity, Google AI Overviews, Gemini, Microsoft Copilot, and Claude.
How do you measure GEO results?
We track citations. We ask your target questions across the major engines on a regular schedule, record when and how you are mentioned, and report your share of voice against competitors over time.
Do I still need SEO if I do GEO?
Yes. Traditional search still drives significant traffic, and most GEO improvements also strengthen SEO. We treat them as one content strategy with two audiences: the crawler and the model.
How long until we see results?
Like SEO, GEO compounds. Structural improvements — answer-first formatting, schema, llms.txt — can surface within weeks, while authority and third-party corroboration build over months.