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
AI Visibility Audit + Score
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."
A fixed, repeatable diagnostic, not a vibe check. Seven parts.
Around 10 real buyer queries run across [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object].
Who AI cites and recommends instead of you, and why.
Whether AI can parse your offers, specs, services, and constraints.
JSON-LD, entity/product graph, llms.txt, and how cleanly AI can crawl you.
Certifications, reviews, third-party citations, and authority AI can retrieve.
Whether your quote, delivery, and procurement pages are readable to AI-assisted buyers.
A prioritized, page-by-page plan tied to Visibility, Readability, and Transactability.
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.
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
Can AI parse your offers, specs, services, and constraints?
How it's scored: Structure & clarity checklist on key pages
JSON-LD, entity/product graph, llms.txt, crawlability.
How it's scored: Presence, correctness, completeness
Reviews, certifications, third-party citations, authority.
How it's scored: Checklist of trust markers AI can retrieve
When cited, are you framed positively against competitors?
How it's scored: Rank / sentiment inside AI answers
| Pillar | What it measures | How it's scored | Weight |
|---|---|---|---|
| Findability | Are you surfaced or cited for real buyer queries across AI engines? | Cited in N of M model responses across a fixed query set | 30% |
| Readability | Can AI parse your offers, specs, services, and constraints? | Structure & clarity checklist on key pages | 20% |
| Structured data | JSON-LD, entity/product graph, llms.txt, crawlability. | Presence, correctness, completeness | 20% |
| Trust signals | Reviews, certifications, third-party citations, authority. | Checklist of trust markers AI can retrieve | 15% |
| Recommendability | When cited, are you framed positively against competitors? | Rank / sentiment inside AI answers | 15% |
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.
A single, readable report you can act on or hand to your team.
0 to 100, with the five-pillar breakdown and where each pillar stands.
The actual prompts, the actual AI answers, and whether you were cited, ignored, misunderstood, or out-ranked.
Who AI recommends in your space and what they have that you do not.
Exactly which pages, data, and signals are missing or unreadable.
Prioritized fixes mapped to Visibility, Readability, and Transactability, with effort and expected impact.
Want this for your business? Request your Audit →
We agree on the ~10 buyer queries and the competitors to benchmark against.
We run the queries across the AI engines, score the five pillars, and build the gap analysis.
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.
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.
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.
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.
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.
Not to run the Audit. Most of it is external (live AI queries, public pages, schema, trust signals). Access only helps later, during implementation.
Yes. The Audit and Score are a standalone deliverable. Implementation and monitoring are optional next steps, not a commitment.
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.
Get your Score, see who's being recommended instead of you, and leave with a roadmap to fix it.