Get named when AI
recommends in your category.
When a buyer asks ChatGPT, Perplexity or Google AI for a recommendation, it answers with two-to-four brands. We build and operate the system that makes yours one of them — then defend the position as the models change.
The recommendation moved into one sentence — and there's no page two.
89% of buyers now use generative AI to research vendors, and the assistant names only two-to-four brands per query. If yours isn't one of them, you didn't lose the click — you never entered the room. This is a new index, and most brands have never been built for it.
A visibility system, not a checklist of tips.
Four parts, built and run as one operated system — the entity layer, the content, the off-platform presence, and the scoreboard that proves it.
Machine-legible entity signals
We make your brand an unambiguous entity the engines can resolve — consistent naming, structured product and claim data, the schema and citations that let an assistant say who you are with confidence instead of guessing or conflating you with a reseller.
Entity layer · schema · disambiguationAnswer-shaped content on owned surfaces
The exact questions buyers put to an assistant, answered on pages you control in the fact-dense, extractable format engines actually cite — one claim per paragraph, real tables and lists, sourced statements. Published continuously, on brand, run for you.
GEO/AEO content · operatedOff-platform presence where AI reads
Owned content alone can't win — Reddit and a handful of third-party sources drive a large share of AI citations. We map where the assistants actually source your category and build genuine, non-spammy presence there. No fake reviews, ever.
Source coverage · Reddit · directoriesA share-of-voice dashboard that climbs
Citation share-of-voice, source-URL inclusion, prompt coverage and recommendation rank, tracked across ChatGPT, Perplexity and Google AI — so the system's effect on the only metric that matters is measured, not asserted.
Share-of-voice · tracked weeklyThe technical substrate underneath this is a brand-ontology knowledge graph; the publishing arm is the operated Content Engine.
A different index. A different fix.
Being chosen by an assistant is not the same job as ranking on a results page — different signals, different sources, a different definition of winning.
| Classic SEO | AI brand visibility (GEO/AEO) | |
|---|---|---|
| Optimises for | Ranked links on a results page | The 2–4 brands an assistant names |
| Reads | Keywords, backlinks, crawl health | Entity signals, graph relationships, answer coverage |
| Sources that matter | Your site + backlink profile | Owned pages, Reddit, directories, third-party mentions |
| Unit of success | Position & organic clicks | Citation share-of-voice & recommendation rank |
| Shelf life | Stable once ranked | Moves with models — must be operated |
What the pattern looks like when it works.
Anonymised at the client's preference — the mechanism is the instructive part, and it's the one we see again and again.
The starting position
A respected founder-led brand, named almost never in its core recommendation queries — and when it was, described from a thin reseller page. Competitors with weaker products but better machine-legibility owned the answer.
The system we built
A resolved entity layer and brand ontology; answer-shaped content on owned surfaces for the exact prompts buyers use; mapped presence in the third-party sources the assistants actually cite. Built in a focused sprint, then operated.
The outcome
The brand moved from absent-or-misstated to correctly described and named in the recommended set across the assistants we track — and because we operate it, that position is maintained as models update rather than decaying. The dashboard is now a standing scoreboard.
We don't publish invented numbers. The audit shows you your real starting position in hard figures — the honest version of proof.
Questions, answered straight.
What is AI brand visibility, in plain terms?
It's whether an AI assistant names your brand when a buyer asks it to recommend something in your category. The discipline of earning that is called generative engine optimization (GEO) or answer-engine optimization (AEO).
It's a different job from ranking on Google: the assistant returns one answer naming two-to-four brands, not a page of ten links you can scroll past.
Isn't this just SEO with a new acronym?
No. SEO optimizes for ranked links on a results page; this optimizes for the two-to-four brands an assistant names. The index is different — entity signals, knowledge-graph relationships and answer coverage rather than keywords and backlinks — and the sources differ too. Only about 12% of ChatGPT-cited URLs rank in Google's top ten, so you optimize for each surface separately.
How do you measure whether it's working?
We track citation share-of-voice (how often you're named versus competitors), source-URL inclusion, prompt coverage and recommendation rank across the assistants. The audit establishes your baseline in hard numbers; the operated system moves it and the dashboard shows the trend.
How fast does visibility move?
Expect a measurable lift in roughly four to eight weeks after deploy, not overnight. AI search is a moving target, so this is an operated position we defend as models update — not a one-time fix that snapshots and decays.
Do you do this for any industry?
Our deepest proof is in founder-led wellness, supplement and peptide DTC. We take adjacent founder-led ecommerce when the fit is real — and the audit tells you honestly if it isn't.
See exactly how AI names your category today.
Then own the answer.
The $1,500 AI Brand Audit measures your real citation share-of-voice across ChatGPT, Perplexity and Google AI — and hands you the roadmap to move it.