Become the answer, not a result.
Your buyers now ask ChatGPT, Claude, Perplexity and Google AI Overviews before they ever see a results page. AI visibility is the discipline of becoming the answer those engines cite. We structure your content for citation, track your share of AI answers and grow it month on month.
A rank tracker for answers.
A tracked panel of your buyers' real prompts, run regularly across the major engines. You see who gets mentioned, who gets cited and how your share moves, monthly, against the baseline.
There is no page two of an answer.
SEO earns a position on a results page. AI visibility earns a place inside the answer itself, and the mechanics of being retrieved, trusted and quoted by a model are different enough to need their own programme.
The answer replaces the results page
When a buyer asks ChatGPT or Google AI Overviews for a shortlist, the engine answers with a synthesis and a handful of citations. There is no page two; you are in the citation set or you were never considered.
Retrieval beats ranking
Engines quote pages they can parse into confident statements: answer-first structure, named entities, consistent facts. A page can rank position one and still be unquotable.
Measurement is share of answer
Positions do not exist here. We track a panel of real buyer prompts across the major engines and record who gets mentioned and cited, month over month, like a rank tracker for answers.
It compounds with SEO without being SEO
The content work overlaps, which is why the pipeline growth bundle runs them together. The surfaces, the technical work and the reporting are separate jobs.
The anatomy of a quotable page.
Engines quote pages they can parse into confident statements. A page can rank position one and still be unquotable. We restructure your pages around the patterns models actually retrieve: answer-first openings, question-shaped headings, named entities and facts that stay consistent across the whole site.
This site is built on the same patterns. View source: llms.txt, schema on every page type, an answer under every heading.
What's in every AI visibility programme.
Five workstreams, run monthly. Because we build sites for a living, the structural work ships in your codebase rather than waiting in a recommendations deck.
Baseline and prompt panel
Evidence before promises: what do the engines say about your category today?
Content engineered for citation
Pages restructured so a model can quote you accurately and confidently.
Technical groundwork
The machine-facing layer, implemented by us in the site.
Authority engines trust
Models cross-check facts; the story has to match everywhere.
Share-of-answer reporting
The monthly number, by topic and engine, with next month's targets attached.
What happens, and when.
Engines refresh on their own scheduleBaseline and groundwork
Prompt panel agreed, first sweep recorded, llms.txt and schema shipped, the first pages restructured.
Answers start shifting
Engines refresh at different rates; structural changes typically start surfacing in answers within one to three months. The report shows which engine moved first.
Share compounds
Topic by topic, mentions become citations and citations become recommendations. Content production points at the gaps the data exposes.
Defend and extend
Category answers are sticky once won. The programme defends the share you hold and extends into adjacent topics.
Is AI visibility right for you?
Asked before every programme.
Generative engine optimisation (GEO) and answer engine optimisation (AEO) are the practice of structuring content so AI engines cite your brand when buyers ask relevant questions. Different surface from SEO, overlapping mechanics, separate measurement.