01
Machine-readable evidence
Server-rendered structured data and clean, quotable page formats so the models can actually read and cite what you publish, not just render it for humans.
Generative Search · GEO
Be the answer, not
just a search result.
Generative engine optimisation makes your brand the source AI answers are built from. We earn the citations, structure the evidence and place the coverage that ChatGPT, Gemini and Perplexity read when a buyer asks for a recommendation.
The promise
Cited by the engine, not buried under it.
Classic SEO fights for a place in a list of links. GEO fights for a place in the answer itself. It works by feeding the models the structured, independent evidence they assemble their recommendations from.
KD 0-6
Difficulty across the commercial GEO terms today
4
Engines optimised for across the AI answer surface
$6-13
CPC range on GEO service terms: genuine budget behind it
What GEO covers
The work that gets you cited
02
The citation sources
Profiles, reviews and trade coverage on the directories and publications the models pull from, so the evidence exists where they look for it.
03
Quotable content
Definitional openings, comparison tables and FAQs written in the shapes AI answers quote, so your pages become the passage the model lifts.
04
Measured against answers
We track whether the engines start citing you and naming you, and report the shift, so GEO is judged on outcomes rather than activity.
The definition
What is generative engine optimisation?
Generative engine optimisation (GEO), sometimes written as generative engine optimization or AI search optimisation, is the practice of making a brand and its content more likely to be cited and recommended by generative AI answer engines such as ChatGPT, Gemini, Google AI Overviews and Perplexity. Where SEO targets a ranking in a list of links, GEO targets inclusion in the answer the model generates.
It combines two disciplines. The technical side makes content machine-readable and quotable: server-rendered structured data, clear definitional passages, comparison tables and FAQs the models can lift cleanly. The earned side supplies the independent evidence, directory presence, reviews and trade coverage, that the models weigh when deciding who to name. Both matter, because a page the model cannot read and a brand no independent source vouches for both fail the same way: silence.
GEO is the intervention; measuring the result is AI visibility, and the mechanics of how models read pages are covered in our LLM SEO explainer.
Who it is for
Brands that need to be the answer
- Considered-purchase B2B categories
- Regulated sectors where trust is decisive
- Challengers out-cited by larger incumbents
- Professional and financial services
- Care and healthcare providers
- Any brand seeing AI Overviews on its terms
FAQs
Generative engine optimisation FAQs
No. They share foundations, but GEO optimises for inclusion in a generated answer rather than a ranking in a list. That shifts the weight heavily towards independent evidence and quotable, machine-readable content, and away from the classic keyword-and-links playbook.
By making content the models can read and want to quote, server-rendered structured data, definitional passages, comparison tables and FAQs, and by earning the directory, review and trade-press citations the models rely on to decide who is credible.
The buyer-facing ones: ChatGPT, Google Gemini and AI Overviews, Perplexity, and Claude, plus Bing and Copilot. We prioritise by where your buyers actually ask and where you are currently absent.
Technical and structured-data fixes can be read by the engines within weeks; the earned-evidence work compounds over a few months as citations accrue. We track appearance and citation trends throughout so you see movement before the headline result lands.
Speak with us
One conversation tells you
if we're the right fit.
Thirty minutes with a partner. We'll tell you whether we can help, what the work would look like, and what it's likely to cost, before either of us commits to anything.
