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When buyers ask AI for a shortlist, are you on it?

The AEO Visibility Audit measures how your brand appears across Claude, Gemini and Google AI Overviews for your actual buyer queries: cited, mentioned, misrepresented or invisible. $975 flat, delivered in 5 business days, with the competitors being cited in your place named explicitly.

A growing share of buying research never touches a results page: someone asks an AI engine for the best option and reads one answer. If you are not in that answer, a competitor is, and no analytics tool shows you the deals you never entered. This audit makes the invisible measurable.

What you get

An AEO score out of 100, across four pillarsAI citation, AI presence, citation gap and readiness. Rubric-scored and reproducible, so re-measurement after fixes means something.
The engine-by-engine tableYour buyer queries down the side, each engine's verdict across: named, ignored, cited, or answered by your rivals.
The citation gap, with namesWhich competitors AI Overviews cite for queries where you are absent. This list usually reorders the marketing roadmap by itself.
What you already do rightEvidence-backed strengths, because a report that only lists faults is diagnosis theater.
A prioritized roadmapQuick wins first, then the entity, schema and content work, each mapped to effort. Executable by you or by our AEO Optimization task.

The method

01

Derive the buyer queries

From your market and site, we build the question set a real buyer asks an engine: brand checks, best-of lists, category and review queries.

02

Probe the engines, capture everything

Each query runs against each engine and the full answers are captured as evidence, including retrieving the actual sources behind Google's AI Overviews rather than assuming them.

03

Detect presence deterministically

Cited, mentioned or invisible is decided by matching against the captured answers, not by an AI's opinion of an AI. What cannot be measured is declared a gap, never guessed.

04

Score by fixed rubric

The four pillar scores compute from the evidence by rules, so the same evidence always produces the same score. Your next audit is comparable to this one.

05

Verify, then the gate

An automated verifier recomputes every score and checks every claim against evidence, then the adversarial human review. Reports that cannot prove themselves do not ship.

Who this is for, and who it is not

It is for brands whose buyers research before buying: SaaS, services, anything with a comparison phase. If your customers ask ChatGPT for recommendations, and they do, this is the visibility you cannot see from Search Console.

It is not for pre-launch sites with no footprint yet; the engines have nothing to cite and the audit would mostly measure absence. Build the foundation first, the Growth Plan sequences that correctly.

What happens after checkout

D0

One scoping email

Confirming your market, competitors worth tracking, and any queries you want included. Nothing else needed.

D2

Probes run

Engines are queried, sources retrieved, evidence captured. Progress visible in your dashboard.

D4

Verification and QA

The automated verifier, then the hostile human review.

D5

Delivery and your approval

Report in your dashboard, one revision round included.

What this replaces

AlternativeTypical costWhat you actually get
"AI visibility" tool subscriptions$100 to $400/moVolume metrics without judgment or a roadmap
Asking ChatGPT about yourselfFreeOne engine, one day, no rubric, no competitors, no reproducibility
Agency AEO retainers$2,000+/moOften this exact audit, spread across a quarter

Questions, answered straight

Which engines do you measure?

Claude, Gemini and Google AI Overviews with full source retrieval today. Engines we cannot yet measure are listed as explicit gaps in your report, because guessing would poison the score.

How do you decide if I am "cited"?

Deterministically: captured answers are matched for your brand and domain. No model grades another model. The same evidence always produces the same verdict.

What if the news is bad?

Then you learned it for $975 instead of discovering it in pipeline numbers. The report pairs every gap with the fix, and the strengths section shows what to build on.

How often should this be re-run?

Engines drift monthly. One audit sets the baseline; AI Citation Monitoring at $295/mo watches the drift and flags misrepresentations.

Can you fix what the audit finds?

Yes: AEO Optimization implements the entity, schema, llms.txt and content work, then re-measures against this baseline.