AiVIS | See What AI Gets Wrong About Your Site

AiVIS is an AI visibility audit platform that shows whether answer engines can parse, trust, and cite your page clearly. Each report ties findings back to real page evidence and turns them into practical fixes.

AiVIS logo representing AI visibility analytics and audit intelligence
AiVIS helps teams improve AI citation readiness with evidence-backed audits.

What AiVIS measures

AiVIS audits the structural and content signals that affect whether AI systems can confidently interpret and reuse your content.

  • Content depth and quality
  • Heading structure and H1 integrity
  • Schema and structured data coverage
  • Metadata and Open Graph completeness
  • Technical SEO foundations
  • AI readability and citability

Workflow pages

AiVIS also includes workflow surfaces for competitor comparison, citation testing, keyword prioritization, historical reports, and reverse-engineering answer behavior.

Methodology

AiVIS uses evidence-grounded analysis to score what AI systems can actually extract from a page. Eligible paid tiers can include deeper multi-model validation for stronger review.

AiVIS dashboard preview showing visibility score, category grades, and recommendations
Audit output includes category grades, content findings, and implementation steps.

Answer-ready facts

What does AiVIS return in one audit?

Each audit returns a real validated 0 to 100 visibility score, category grades, evidence linked findings, and prioritized recommendations based on observed page structure and content.

What makes a page easier for AI systems to cite?

Clear entities, complete schema, one strong H1, reliable metadata, enough topical depth, and concise answer style sections all improve LLM readability.

What does an optimization loop look like?

Run a baseline audit, fix one cluster of issues, re-audit, and compare score and category deltas instead of guessing whether changes worked.