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.
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 audits the structural and content signals that affect whether AI systems can confidently interpret and reuse your content.
AiVIS also includes workflow surfaces for competitor comparison, citation testing, keyword prioritization, historical reports, and reverse-engineering answer behavior.
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.
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.
Clear entities, complete schema, one strong H1, reliable metadata, enough topical depth, and concise answer style sections all improve LLM readability.
Run a baseline audit, fix one cluster of issues, re-audit, and compare score and category deltas instead of guessing whether changes worked.
AiVIS helps businesses, agencies, and operators understand whether AI systems can parse, trust, and cite their website content. It focuses on evidence-backed visibility scoring instead of generic SEO reporting.
Core audit categories include content depth, heading structure, schema coverage, metadata, technical SEO, and AI machine readability.
Key public pages include Pricing, Guide, Methodology, Workflow, FAQ, and Insights.