AI recommendation audit

See where AI recommends your competitors instead of you.

Audit the commercial questions that influence revenue, trace every answer to source-level evidence, and publish a prioritized action plan.

5
Commercial questions
The founding high-intent query set
Source-level
Retained evidence
Answers, citations, and repetitions
Evidence-gated
Published actions
Exceptions pause for review

Demo workspace · Snapshot

AI visibility overview

Reviewed
42visibility index

A convenience index, not a universal ranking standard.

Mention rate60%
Recommendation rate24%
Owned citation rate18%
Competitor share of voice74%
Commercial queryLeaderYou
Best CRM for agenciesHubSpotNot listed
CRM with white-label reportsAgencyAnalytics#3
Affordable HubSpot alternativesPipedrive#4
From signal to decision

One evidence trail. Three commercial outcomes.

Measurement, interpretation, and action stay separate so every recommendation remains reviewable.

01

Test commercially valuable questions

Benchmark the questions buyers use to compare products, alternatives, pricing, and fit.

02

Trace recommendations to evidence

Inspect mentions, positions, competitor advantage, citation URLs, and differences between repetitions.

03

Prioritize the few actions that matter

Turn verified gaps into a short action plan ranked by evidence, value, confidence, and effort.

Evidence-gated delivery

A defensible audit, ready for a commercial decision.

Raw answers are retained, evidence stays distinct from interpretation, and high-confidence live reports publish automatically. Exceptions pause for review.

See the audit workflow

Every delivered audit includes

  1. 01Technical accessibility and crawl evidence
  2. 02Query-level mentions, positions, and citations
  3. 03Competitive and owned-source gaps
  4. 04Confidence-scored recommendations
  5. 05Automatic publication or exception review