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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.

Run the free evidence check Review a sample report
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
RecoProofDemo workspaceIllustrative data

Recommendation intelligence

AI visibility overview

Evidence retained
AI Visibility Index42/100
Directional convenience index
Recommendation rate24%Presence in the shortlist
Owned citation rate18%Your pages as sources
Commercial question coverage
Commercial queryLeading competitorYour position
Best CRM for agenciesHubSpotNot listed
CRM with white-label reportsAgencyAnalytics#3
Affordable HubSpot alternativesPipedrive#4
Competitor share of voice74%

Relative mention share within the tracked competitor set.

Every finding has an evidence trail.

Retained answers · source URLs · repeat observations

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Product illustration. Fictional values, not a live visibility claim.
Inside the evidence

An answer is a signal.
The evidence makes it useful.

Follow one commercial question from a competitor recommendation to an action your team can review.

Illustrative workflow · fictional answer and finding

Explore the full sample report
01

Commercial question

“Which CRM is best for a growing agency?”

Unbranded discoveryDefined buyer intent
02

Retained answer → recommendation

“HubSpot is one option for agencies looking for an integrated sales and marketing CRM.”
Your brand not listedCompetitor recommended
03

Citation evidence → gap

Inspect the sources behind the shortlist.

A cited competitor page describes agency workflows. The target brand’s equivalent evidence needs review.

Inspect the evidence record
Retained artifact
Original answer and citation URL
Run conditions
Question, provider, model, date, market
Interpretation
A source gap is a hypothesis, not proof of causation.
04

Prioritized action

Strengthen the agency use-case evidence.

Verify the gap, assign an owner, then retest the same commercial question under comparable conditions.

Review before actionConfidence stays explicit
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.

Explore the AI visibility audit See the 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
Plan before you measure

Use the method, metrics, and template before treating a score as a decision.

Choosing your next step? Compare AI visibility tools by the work your team needs to own, or review AI visibility service providers for expert help. If Google Search is the priority, the Google AI Overview tracking tools guide compares answer evidence, citations, and separate AI Mode coverage.

Built to be questioned

Trust the trail.
Understand the limits.

Read the measurement methodology
01 /

Retained, not reconstructed

Original answers and source-level citations remain attached to findings.

02 /

Comparable by design

Defined questions and recorded provider conditions make repeat measurements interpretable.

03 /

Confidence made visible

Evidence, interpretation, and human review remain distinct. Uncertainty is part of the report.

04 /

Limits stated upfront

A bounded benchmark cannot promise universal rankings, inclusion, or future model behavior.

Start with evidence

Find the questions you are missing.

Begin with a bounded free snapshot. Inspect the evidence before deciding what comes next.

Run the free check