Recommendation Audit — $199 one-time
Know exactly what AI is getting wrong about your product — and what to fix first
A deeper diagnosis of how AI represents your product across high-intent prompts, comparison scenarios, and citation patterns. Not a vanity score. A repair roadmap.
Why the Free Audit isn't enough for most teams
The Free Audit shows you whether a problem exists. The Recommendation Audit shows you exactly what is broken, why it matters, and what to repair first.
Free Audit shows
- — Basic visibility snapshot
- — Top-level gap preview
- — Whether the problem is real
Recommendation Audit shows
- Which high-intent prompts miss you
- How AI misrepresents your positioning
- Which competitors are substituting you
- Which pages need repair and in what order
- What evidence and citations are missing
What the audit delivers
High-intent prompt coverage analysis
We test the prompts your buyers actually use — "best X tools", "X vs Y", "X alternatives" — and show which ones miss or misframe your product.
Representation findings by engine
Engine-by-engine breakdown of how ChatGPT, Perplexity, Gemini, DeepSeek, Claude, and Mistral describe your product, pricing, and positioning.
Competitor substitution analysis
Which competitors are being recommended instead of you, and which comparison frames AI is using to position them.
Page-level repair roadmap
Prioritized list of which pages to fix first — homepage, pricing, docs, comparisons, FAQ — with specific recommendations for each.
Best next step after the Free Audit
Choose the Recommendation Audit when your team needs a concrete diagnosis, not another dashboard. It is especially valuable when:
- You already suspect AI is misrepresenting your product
- You want a clear breakdown of what to fix first
- Your team needs a roadmap they can execute on, not just a score
- You are considering Fact Layer Setup and want to know the scope
What happens after the audit?
Once the diagnosis is clear, most teams do not need more explanation. They need a way to fix the pricing, positioning, comparison, FAQ, documentation, and evidence signals behind those findings.
Audit tells you what is broken. Fact Layer Setup helps you fix what matters most.
Recommendation Audit ($199)
Understand the problem clearly — prompt gaps, representation issues, competitor substitution, page-level repair priorities.
Fact Layer Setup (from $999)
Establish the repair-ready control layer — scoped implementation, fact layer structure, evidence alignment, recheck-ready setup.
Start with the diagnosis. Be ready to fix the signals behind it.
Recommendation Audit helps you see the problem clearly. Fact Layer Setup is the next step if you are ready to move from insight to controlled repair.