Discovery
Does the product appear when a buyer asks for options without naming it?
For SaaS and developer tools
See how AI assistants describe, compare, and sometimes miss your product during buyer research.
We turn real prompt evidence into a clear fix plan for your website, positioning, and public product facts.
Human-reviewed. Evidence attached. No ranking promises. No synthetic citations.
What we check
We look at the points where an AI assistant can lose a product: discovery, description, comparison, trust, and next-step recommendation.
Does the product appear when a buyer asks for options without naming it?
Does the AI describe the category, use case, pricing, and feature boundaries correctly?
Which competitors become the default choices, and why are they framed as safer?
Which public pages, FAQs, comparisons, and proof points appear missing or ambiguous?
What should be changed first so AI and human buyers can understand the product faster?
Example finding
That difference matters. It means the product may not have a product problem; it may have a public-evidence and category-positioning problem.
| Prompt state | Observed signal | Likely action |
|---|---|---|
| Open category search | Target absent; known competitors appear | Strengthen category evidence |
| Named comparison | Target understood but one claim is loose | Tighten first-party wording |
| Final recommendation | Competitor framed as safer default | Add proof for risk concerns |
What you get
The first product is intentionally narrow: enough evidence to start a sales conversation or fix the website, without pretending we can guarantee model behavior.
Prompt wording, surface access status, transcripts or screenshots where available, and a plain-English reading of what happened.
Prioritized changes to product facts, FAQ, comparison pages, positioning, and trust proof that can make the product easier to understand.
Methodology
We confirm product URL, category, competitors, and likely buyer intent.
We test across available AI surfaces and mark blocked or login-gated surfaces honestly.
We compare AI wording against public facts and flag unsupported or stale descriptions.
We turn findings into a short website and evidence roadmap.
Boundaries
We do not guarantee AI recommendation lift, fake reviews, create synthetic citations, bypass login gates, or claim one audit represents every model, geography, and future answer.
Early access
One-time audit for one product category. Delivered after intake and payment confirmation.
Email agentrank@walletaudit.me