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FlatRelay

AI Visibility Audit + Score

See exactly how AI sees your business, and what it costs you.

We test your real buyer queries across every major AI engine, show you who's being recommended instead of you, and score your business 0 to 100 across five pillars. You leave with a clear picture and a roadmap to fix it.

We test ~10 real buyer queries against live AI and show you exactly where you stand. No guesswork, no vague "AI score."

What you get in the Audit.

A fixed, repeatable diagnostic, not a vibe check. Seven parts.

  1. 01

    AI query testing

    Around 10 real buyer queries run across [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object].

  2. 02

    Competitor comparison

    Who AI cites and recommends instead of you, and why.

  3. 03

    Readability review

    Whether AI can parse your offers, specs, services, and constraints.

  4. 04

    Structured-data & crawlability review

    JSON-LD, entity/product graph, llms.txt, and how cleanly AI can crawl you.

  5. 05

    Trust-signal review

    Certifications, reviews, third-party citations, and authority AI can retrieve.

  6. 06

    Commercial-readiness review

    Whether your quote, delivery, and procurement pages are readable to AI-assisted buyers.

  7. 07

    Remediation roadmap

    A prioritized, page-by-page plan tied to Visibility, Readability, and Transactability.

Your AI Visibility Score, defined.

One number, 0 to 100, across five weighted pillars. Defined the same way every time, so it can be re-run monthly and progress is provable.

Findability

30%

Are you surfaced or cited for real buyer queries across AI engines?

How it's scored: Cited in N of M model responses across a fixed query set

Readability

20%

Can AI parse your offers, specs, services, and constraints?

How it's scored: Structure & clarity checklist on key pages

Structured data

20%

JSON-LD, entity/product graph, llms.txt, crawlability.

How it's scored: Presence, correctness, completeness

Trust signals

15%

Reviews, certifications, third-party citations, authority.

How it's scored: Checklist of trust markers AI can retrieve

Recommendability

15%

When cited, are you framed positively against competitors?

How it's scored: Rank / sentiment inside AI answers

Method note: we define ~10 buyer queries with you before testing, the exact prompts your customers would type. The delta in citation rate and answer quality between today and post-implementation is the proof.

See the full method

What a finished Audit looks like.

A single, readable report you can act on or hand to your team.

  • Your Score

    0 to 100, with the five-pillar breakdown and where each pillar stands.

  • The query results

    The actual prompts, the actual AI answers, and whether you were cited, ignored, misunderstood, or out-ranked.

  • The competitor picture

    Who AI recommends in your space and what they have that you do not.

  • The gap analysis

    Exactly which pages, data, and signals are missing or unreadable.

  • The remediation roadmap

    Prioritized fixes mapped to Visibility, Readability, and Transactability, with effort and expected impact.

Sample reportillustrative
AI Visibility Score72/100
  • FindabilityCited in 4 / 10
  • ReadabilityPartial structure
  • Structured dataNo llms.txt
  • Trust signalsCerts not machine-readable
  • RecommendabilityOut-ranked by 2

Want this for your business? Request your Audit →

How it runs.

  1. 01

    Scope the queries (day 1 to 2)

    We agree on the ~10 buyer queries and the competitors to benchmark against.

  2. 02

    Test & score (day 3 to 5)

    We run the queries across the AI engines, score the five pillars, and build the gap analysis.

  3. 03

    Deliver & walk through (day 6 to 7)

    You get the report and a live walkthrough of the findings and roadmap.

What's next (optional): a focused 30-day sprint to implement the roadmap, then monthly monitoring to keep you in the answer.

What it costs.

The AI Visibility Audit + Score is a fixed fee. You know the price before you commit, and the report stands on its own whether or not you continue. Implementation and monitoring are separate, optional steps.

Indicative: Audit + Score is a fixed-fee engagement. Implementation (30-day sprint) and monthly monitoring are priced separately.

See full pricing

Request your AI Visibility Audit.

Tell us where you are and we'll scope your buyer queries. We'll reply within one business day.

No sales pressure. You'll get a scoped plan and the fixed price before anything starts.

Questions, answered.

How is this different from an SEO audit?

An SEO audit asks how you rank on Google. This asks whether AI engines find, understand, and recommend you when buyers ask them for suppliers, and measures it with live query testing across multiple models.

What if we score badly?

That's the point of measuring. A low Score is a map: it shows precisely which pillars and pages are costing you shortlist appearances, and the roadmap tells you what to fix first.

Do you need access to our website or analytics?

Not to run the Audit. Most of it is external (live AI queries, public pages, schema, trust signals). Access only helps later, during implementation.

Can we just buy the Audit and stop there?

Yes. The Audit and Score are a standalone deliverable. Implementation and monitoring are optional next steps, not a commitment.

How current are the results?

We test against live AI engines at the time of the Audit. Because AI answers drift, monthly monitoring is how you keep the picture, and your position, current.

Find out what AI says about your business.

Get your Score, see who's being recommended instead of you, and leave with a roadmap to fix it.