When buyers ask
ChatGPT for tools
like yours, who does it recommend?
We run 50–150 buying-intent prompts through ChatGPT, Claude, Gemini and Perplexity to see whether they mention you, cite you, or recommend your competitors — data, not opinions.
84% of B2B SaaS CMOs now use AI assistants to research vendors
Wynter, 2026
Who AI recommends — gravity-fed water filters
Based on 10 prompts × 2 engines · June 2026
What is AI telling your customers right now?
It recommends your competitors
When it mentions a brand, it gets facts wrong
All three claims false — engines repeat stale sources until corrected.
Real engine output from a real product category, June 2026. One real brand in this category: zero mentions across all ten prompts.
Why does this matter now?
Your analytics stack was built for the search era. Buying moved to the answer era.
Drop in traditional search volume by 2026 as users shift to AI answers.
Gartner
Of enterprise software buyers already use AI to research vendors.
Industry Research
Of the B2B buying cycle happens before they ever talk to sales.
6sense
Not ready? See your own numbers first — free.
A 1-page snapshot: 10 buying-intent prompts across ChatGPT and Perplexity — your mention rate vs your closest competitors.
Delivered to your inbox within 2 business days. No call, no pitch.
Got it — your snapshot is queued. It lands in your inbox within 2 business days.
What's in the audit?
Up to 150 prompts × 4 engines × 3 runs — up to 1,800 scored answers behind every number.
Prompt coverage map
50–150 buying-intent prompts mapped to your funnel stages
4-engine visibility baseline
Mentioned, cited, recommended, or invisible — per engine, per prompt
Competitor share-of-voice
Who owns your category's answers, and by how much
Sentiment & hallucination findings
What AI gets wrong about you, documented with evidence
Technical root-cause analysis
AI-crawler access, schema, entity consistency, content structure, freshness
Prioritized 60–90 day fix roadmap
Ranked by impact — built to hand to your team or agency
Includes the raw data export of every engine output so your team can verify the findings. Not included: a retainer requirement, a sales pitch, or a dashboard to learn — the report is a diagnosis, and it's yours.
What does the report look like?
These are real pages from the sample audit — generated from live engine runs on a real product category, by the same pipeline that builds yours.
Yours covers your category, your competitors, your fixes — 50–150 prompts across 4 engines, every claim verified, with 90 days of dashboard access.
How do we measure it?
Audit specifications
- Engines tested ChatGPT, Claude, Gemini, Perplexity — current production models, named with versions and run dates in your report.
- Prompt volume 50–150 distinct buying-intent queries, branded and non-branded, mapped to your funnel.
- Variance control Each prompt runs 3 times to average non-deterministic output — variance reported, not hidden.
- Environment Clean sessions, no prior context, generic IP addresses.
- Scoring Every answer coded mentioned, cited, recommended, or invisible against a fixed rubric.
- Evidence Every finding links to the raw engine response, dated.
How to judge any AI-visibility audit
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Enough prompts to matter — 50+, not 5.
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More than one engine — ChatGPT alone ignores where half your buyers ask.
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Repeat runs — LLMs are stochastic; a single run is an anecdote, not data.
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A competitor benchmark — your score means nothing without share-of-voice context.
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Technical root causes — knowing you're invisible isn't enough; you need to know why.
What are your alternatives?
| Option | Price | What you actually get |
|---|---|---|
| Free AI checkers | $0 | A score. No evidence, no roadmap. |
| Monitoring dashboards | ≈$337/mo, forever | You configure it, you interpret it. |
| Enterprise AI-visibility platforms | $399–499/mo + sales call | Powerful — once you sit the demo and do the work. |
| Thin productized audits | $497–1,497 | 5–20 prompts. |
| Agency GEO retainers | $2,000–8,000/mo, 3-month minimum | Implementation included, diagnosis extra. |
| CitedMetrics audit | $950, once | 50–150 prompts × 4 engines × 3 runs, report in 5 business days, no calls. |
I built CitedMetrics to create the AI-visibility measurement I wished existed for my own 11 content sites. Before that I managed aerospace manufacturing at Rolls-Royce — overseeing the build and assembly of complete jet engine sections for Airbus and Boeing aircraft — where no decision was made without extensive data analysis. I apply the same standard here: every finding in your audit is backed by real prompts, real engine responses, and scored evidence.
AI Visibility Audit
One-time fee. No subscription.
Founding rate — rises to $1,500 once the first case studies publish.
- check Prompt coverage map
- check 4-engine visibility baseline
- check Competitor share-of-voice
- check Sentiment & hallucination findings
- check Technical root-cause analysis
- check Prioritized 60–90 day fix roadmap
Read the full report. If it doesn't show you something about your AI visibility you didn't already know, reply to the delivery email within 14 days for a full refund — and keep the report.
Frequently Asked Questions
How is this different from SEO — or an SEO audit? expand_more
AI engines synthesize answers from sources they trust instead of ranking ten links. We measure whether you're inside those answers and diagnose why not — content structure, entities, schema, AI-crawler access. It overlaps SEO; it isn't SEO.
Which AI engines and models do you test? expand_more
ChatGPT, Claude, Gemini and Perplexity — current production models, named with versions and run dates in your report.
AI answers change constantly — how is this reliable? expand_more
That's exactly why every prompt runs 3 times and variance is reported. A single run is an anecdote. An averaged, dated baseline is a measurement.
What if my brand is already mentioned sometimes? expand_more
Then the audit shows where you win, where you lose, to whom, and why. Most brands are partially visible — and unaware of which buying prompts they lose.
What exactly arrives in 5 business days? expand_more
A 20+ page PDF: visibility baseline, competitor share-of-voice, sentiment and hallucination findings with evidence, technical root-cause analysis, and a prioritized 60–90-day roadmap — plus the raw scored data.
Do you implement the fixes too? expand_more
Optionally, yes. A remediation retainer from $1,500/mo implements the roadmap and re-measures monthly — and your audit fee credits toward the first month. The audit also stands alone; many clients hand the roadmap to their own team.
Why should I trust a new firm? expand_more
You don't have to take our word: the methodology is published above, every finding links to raw engine output, and the keep-the-report guarantee means a useless report costs you nothing.
Is my data confidential? expand_more
Yes. Your report, prompts and results are never shared, resold, or used in our marketing without written permission.
What does the research say?
We publish our data and methods — the same evidence standard your audit gets.
How B2B buyers use AI search in 2026
84% of B2B SaaS CMOs use LLMs in vendor discovery; 67% prefer rep-free buying; ~80% of shortlists form pre-contact — sourced numbers and what they mean.
AI visibility audit & tool pricing — June 2026 market survey
Original dataset: one-time audits $27–$4,500, monitoring tools $29–$654/mo (≈$337/mo average), enterprise platforms $399+/mo, agency retainers $2k–8k/mo.
How to get ChatGPT to recommend your business
No paid placement exists — OpenAI confirms it. Recommendations come from evidence: crawler access, answer-shaped content, entity consistency, consensus, freshness. With June 2026 run data.