Commercial question
Which competitors are recommended, and for which questions
Example: “Which CRM is best for a growing agency?”
For B2B SaaS marketing teams
AI visibility audits for B2B SaaS: find where AI recommends your competitors.
RecoProof tests the high-intent questions buyers use to compare products, shows which competitors win, traces the sources behind each answer, and tells you what to fix first.
Free self-check: 5 buyer questions you ask in ChatGPT, Perplexity or Google AI Mode, no account. Full audit: GPT-6.1 Sol, Gemini 4 Argon and Perplexity Sonar.
- 5
- Commercial questions
- The founding high-intent query set
- Source-level
- Retained evidence
- Answers, citations, and repetitions
- Prioritized
- Next actions
- Owners, criteria, and retests
Inside the evidence
What an AI visibility audit shows
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 reportRetained answer → recommendation
“HubSpot is one option for agencies looking for an integrated sales and marketing CRM.”
Citation evidence → gap
The pages, reviews and lists each answer cites
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.
Prioritized action
What to change first, ranked by evidence and effort
Verify the gap, assign an owner, then retest the same commercial question under comparable conditions.
From signal to decision
How RecoProof measures AI visibility
Measurement, interpretation, and action stay separate so every recommendation remains reviewable.
Test the buyer questions that build a shortlist
Benchmark the questions buyers use to compare products, alternatives, pricing, and fit.
Trace each recommendation to the sources behind it
Inspect mentions, positions, competitor advantage, citation URLs, and differences between repetitions.
Fix the few gaps that matter most
Turn verified gaps into a short action plan ranked by evidence, value, confidence, and effort.
Evidence-gated delivery
Free AI visibility check or full audit
Free check: 5 buyer questions, no account
Ask the questions your buyers ask in ChatGPT, Perplexity or Google AI Mode and record which competitors they name, before you pay for anything. Run the free check
Full audit: three AI models, expert-reviewed
GPT-6.1 Sol, Gemini 4 Argon and Perplexity Sonar. Raw answers and source URLs stay attached to each finding, and recommendations are reviewed before delivery. $499 for the first 5 customers, then $750.
Every delivered audit includes
- 01Technical accessibility and crawl evidence
- 02Query-level mentions, positions, and citations
- 03Competitive and owned-source gaps
- 04Confidence-scored recommendations
- 05Automatic publication or exception review
Plan before you measureGuide Metrics Template
Measure AI search visibility yourself
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. For quick technical checks, the free tools include an AI crawler checker and an llms.txt generator and validator.
Plan a B2B SaaS AI visibility audit
Select commercial questions, retain recommendation evidence, and build a repeatable measurement.
Open resourceAI visibility metrics that are not vanity metrics
Understand mentions, recommendations, citations, share of voice, stability, and agreement.
Open resourceAI visibility audit template
Use the public worksheet for scope, run conditions, evidence, actions, owners, and retests.
Open resourceBuilt to be questioned
Why evidence instead of a single AI visibility score
Read the measurement methodologyEvery answer retained, not reconstructed
Original answers and source-level citations remain attached to findings.
Repeated runs show what is stable
Defined questions and recorded provider conditions make repeat measurements interpretable.
Confidence made visible
Evidence, interpretation, and human review remain distinct. Uncertainty is part of the report.
Limits stated upfront: no ranking guarantee
A bounded benchmark cannot promise universal rankings, inclusion, or future model behavior.
Start with evidence
Run the free check Find the buyer questions you're losing.
Begin with a free five-question self-check. See who AI recommends before deciding what comes next.