Built for application security, cloud security, identity, endpoint, data protection, threat intelligence, compliance tooling, and security infrastructure vendors.
Define the security problem and product boundary
Terms such as platform, zero trust, AI-powered, and enterprise-grade can cover very different products. The audit checks whether the website identifies the threat model, user, deployment point, protected assets, and product boundaries.
Clear scope helps answer engines compare like with like instead of inferring unsupported equivalence.
- ✓Specific security category and threat model
- ✓Deployment model and protected assets
- ✓Supported environments and integrations
- ✓Explicit product limitations
- ✓Consistent product terminology across docs
Make assurance evidence attributable
Certifications, audits, detection rates, response times, and customer outcomes need context and sources. MentionLens identifies when these claims are visible but not traceable to an inspectable page or document.
The report does not conduct penetration testing or certify the security of the product.
- ✓Dated certification and audit references
- ✓Benchmark methodology and test scope
- ✓Public security and disclosure pages
- ✓Source-linked integrations and customer evidence
- ✓Clear separation of current and planned capabilities
Strengthen technical buyer answers
A prioritized backlog shows which definitions, architecture pages, FAQs, comparisons, and evidence sources can improve clarity first. Competitor findings remain limited to supplied public pages.
The final report is generated only after the exact signed on-chain payment has been verified.
- ✓Technical answer coverage
- ✓Evidence and citation readiness
- ✓Authority-source gaps
- ✓Directional competitor comparison
- ✓Seven ranked implementation fixes
Before you order
Is this a security assessment?
No. It is an AI visibility and public-evidence audit. It does not perform penetration testing, vulnerability scanning, or certification.
Can a security team submit private architecture documents?
No. MentionLens is public-data only. Never submit credentials, private documents, internal endpoints, or customer information.
Does it guarantee recommendations from AI tools?
No. It improves the clarity and support of public evidence but cannot guarantee any model output, ranking, or sale.