First, it has to know you.

Before it can recommend you, AI has to be sure who you are.

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What AI says

Illustrative example, not a real client

User prompt: “Tell me about Quillmoor.”

ChatGPT

Quillmoor is a UK-based software company that makes customer onboarding tools for B2B SaaS businesses with complex, multi-team rollouts. …

★ One business, one set of facts

AI will not recommend you if it cannot pin you down.

If it is not sure whether you are you, or it mixes you up with another office, another product, another business of the same name, it plays safe and names someone it is certain about. Most businesses have never been made easy for a machine to read. That is the first gap we close.

How we work

  1. Build the page that is definitively you

    One page says who you are, what you do and where you do it. Every other mention of you points back to it.
  2. Get you into the records AI checks

    AI checks a small set of reference sources before it answers. We get you into them, so the facts they hold about you are yours.
  3. Make the facts agree

    Your name, your location, your registration and your people read the same everywhere AI looks: your own site, Companies House, LinkedIn, the directories.

What you get

The work, in order

  1. Find out what AI thinks you are

    Where it is unsure, wrong, or silent about who you are. Measured, one engine at a time.
  2. Build the page, label it properly

    We write the page that defines you and label it in the format machines read.
  3. Make everything else match

    We line the facts up across every source AI cross-checks, so nothing anywhere contradicts anything else.

One page, one record, one set of facts

Being known is built in three moves, in this order: one page that defines you, a record in the sources AI checks, and the same facts everywhere else.

  1. One page

    The page that is definitively you, and the one everything points back to.

  2. One record

    A clean entry in the sources AI checks before it answers.

  3. One set of facts

    The same name, status and people, everywhere AI looks.

How we’re different

DimensionAvouchTypical agency or tool
The hidden labelsOnly ever repeat what is on the pageStuffed with claims the page does not back
Where the facts liveOne page that settles itScattered across pages and profiles
Keeping them straightLined up across every source AI checksLeft to drift, profile by profile

Tracked on the Citation Intelligence Platform.

Our own database measures whether AI can identify you cleanly, and flags where it is still unsure, or still saying something untrue, one engine at a time.

Usually the first part of the retainer, because everything else is built on it.

The Avouch console for one anonymised client: share of AI answers that mention it, share of voice, answers citing its site, answers analysed, and how AI frames it, from recommended to passing mention.

Foundations questions

What do you mean by “the page that is definitively you”?
One page that settles who you are, what you do, who you work for and what you are registered as. Every other mention of you points back to it, so AI has one place it trusts instead of piecing you together from scraps.
Isn't this just adding hidden labels to the site?
Those labels are part of it, and the smallest part. The real work is making your identity consistent and checkable everywhere AI looks. A label only ever repeats what a person can already see on the page.
How long before that panel appears beside a search result?
Often two to three months. Getting fully established takes longer. We measure it either way, so you can see it moving rather than take our word for it.

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

Check if AI recommends you

Start free. No commitment.

Check if AI recommends you