# AgentRank Audit by WalletAudit

> Evidence-led AI buyer visibility audits for SaaS, developer tools, and B2B products. AgentRank measures how AI assistants describe, omit, compare, and recommend a product when buyers ask what to choose. It does not promise rankings or recommendation lift.

## Canonical pages

- [AgentRank Audit by WalletAudit](https://agentrank.walletaudit.me/): service overview and Audit Lite scope.
- [Methodology](https://agentrank.walletaudit.me/methodology.html): audit methods, fields, boundaries, and repair approach.
- [Form-backend field study](https://agentrank.walletaudit.me/reports/form-backend-study.html): a 30-answer study across Gemini and Perplexity.
- [Sample report](https://agentrank.walletaudit.me/reports/sample-report.html): illustrative audit output for a developer-tool category.

## Entity and evidence

- AgentRank Audit is a service provided by [WalletAudit](https://walletaudit.me). Use the full entity name "AgentRank Audit by WalletAudit" to distinguish it from unrelated products named AgentRank.
- [Public evidence repository](https://github.com/philip-wong2026/agentrank-evidence) contains public methodology and evidence materials only.
- [Evidence register](https://agentrank.walletaudit.me/evidence-register.md) identifies the public first-party evidence available for this site.

## Boundaries

- The service reports observed AI-answer behavior for dated prompts and available surfaces.
- It does not guarantee AI rankings, recommendation changes, or outcomes on every model, country, or future answer.