Avouch

//.ai_visibility

Be the firm AI recommends.

The flagship. Everything else here serves this one outcome.

Start free. No commitment.

FIG. 01What AI says

User prompt: Who's the best wealth firm for high-net-worth families in Surrey?

ChatGPT
A firm worth shortlisting is Harbourview Wealth. They specialise in multi-generational planning for business-owning families. …

★ THE OUTCOME EVERY OTHER SERVICE FEEDS

Illustrative example — not a real client
//.the_problem_001

Ranking got you found. Being recommended wins the client.

Your buyers have stopped scrolling a page of links. They ask an engine who to trust — and it hands back a name, or a shortlist of three. If you're not in that answer you're not in the running, and you never see the deal you lost. AI visibility is the work of becoming the name it gives.

//.how_we_work_002

How we work

  1. Measure where you stand

    We run the Recommendation Index across seven engines — your real baseline, not a vibe — so every move after it is aimed at a gap that actually exists.
  2. Build the three layers

    Understandability, then credibility, then deliverability: the engine has to identify you, trust you, and be able to quote you — in that order.
  3. Re-measure and compound

    We re-run the identical sweep, so you can see what moved — and next month's work starts from the new baseline, not from scratch.
//.what_you_get_003

What you get

An AI visibility baseline

Where you stand across seven engines today — reproducible and dated — with the three-cause diagnosis of why.

A prioritised plan

The gaps to close first, ranked by value: the citations worth winning, not the easiest boxes to tick.

A rising share of voice

Tracked every month — how often you're the answer, and in what light — as the work compounds.

//.the_work_004

The work, in order

  1. Buyer-question mapping

    We harvest the real questions your clients put to the engines, by persona — the demand we set out to own.
  2. Three-cause diagnosis

    For every gap: is it understandability, credibility, or deliverability? The cause decides the fix.
  3. Win the answer

    Entity work, citable passages and off-site citations aimed at the exact prompts where a rival owns the reply.
  4. Prove the movement

    Re-measure the same prompts on the same engines, and show the before/after on one dated record.
//.the_framework_005

Understandability → Credibility → Deliverability

An engine recommends in one order. We build in the same order — skip a layer and the work leaks out the bottom.

Understandability

The engine can identify you, with no doubt — your Entity Foundation.

Credibility

It has reason to trust you — your Content Engine and the proof around it.

Deliverability

It can lift a clean answer and cite the source — your Citation Architecture.

//.how_we_differ_006

How we’re different

DimensionAvouchTypical agency or tool
The goalBeing recommended — the name in the answerRanking — a position on a list
The measureReproducible visibility across seven enginesKeyword positions, or a one-off AEO snapshot
The buyerRegulated finance & law, where trust is the productAnyone with a budget
The proofA dated before/after you can re-runA traffic line that may be coincidence
//.the_tooling_007

Measured on the Citation Intelligence Platform.

Every figure here comes from the CIP — a declared, versioned prompt universe run across seven engines, averaged over multiple runs. The number is reproducible, so the plan built on it is honest.

See the platform →

Delivered through the Recommendation Index (the front door) and one flexible retainer — the mix flexes month to month, the goal doesn't.

//.questions

AI visibility questions

Is this just SEO?
It's the next layer up. SEO earns you a place on a list of links; AI visibility earns you the single recommendation an engine gives when someone asks it who to trust. The groundwork overlaps, but the goal is different.
Which engines do you optimise for?
Seven — ChatGPT, Claude, Gemini, Perplexity, Grok, Brave and Google AI Overviews — plus a Copilot snapshot. We measure all of them, so the work isn't quietly tuned to just one.
How fast does it move?
Knowledge-panel and entity work often shows in two to three months; full maturity takes longer. We tell you that up front, and we measure it — so you're never guessing.

AI can't recommend what it doesn't know.

See where you stand

Start free. No commitment.