AiVIS - Ai Visibility Intelligence Audit

AiVIS audits how AI answer engines such as ChatGPT, Perplexity AI, Google AI Overviews, and Claude read, interpret, and cite a given website. By entering a URL, users receive a 0‑100 score accompanied by evidence‑linked findings, category grades, and prioritized fixes. The tool evaluates extractability, trust‑signal alignment, and citation readiness across seven weighted dimensions, including schema and structured data, content depth, technical trust, meta tags, AI readability, heading structure, and security.

The audit produces a “CITE LEDGER” that verifies whether AI systems can extract, attribute, and cite the page’s content, and a “BRAG” (Based‑Retrieval‑Auditable‑Grading) report that ties each finding to stable page evidence. Hard‑blocker caps prevent inflated scores when critical signals are missing, ensuring the score reflects verifiable accessibility.

Founders, marketers, developers, and agencies use AiVIS to diagnose why their content is not being cited—or is misquoted—by AI answer engines, and to identify concrete improvements that increase AI visibility and citation accuracy.