Multiscal AI Audit

About

What it does
Multiscal AI Audit checks whether your website is ready for AI search engines, answer engines, and LLM-based discovery. It runs 27 checks on any webpage, covering structured data, crawlability, content quality, semantic markup, and more.

You get a weighted score from 0-100, a breakdown by pillar, and specific fix instructions for each issue found.

27 metrics, organized by category
Discovery & Access — Indexability, AI Crawler Permission, LLM Discovery, Hreflang Validation Technical Foundation — Performance, Accessibility, Security & Headers, Mobile Optimization Content Structure — Structured Data, Internal Linking, Boilerplate Detection Content Quality — Citation-Worthiness, Answerability, Content Depth, Fact Density, Source Authority, Cross-Reference Quality Semantic Understanding — Semantic Richness, Entity & Brand, E-E-A-T Freshness — Freshness, Temporal Signals AI Optimization — Snippet Optimization, AEO Optimization, Conversational Query, RAG-Friendly Media — Multimodal

Features
Single-page audit from the popup or side panel
Site-wide crawl (up to 50 pages) from the dashboard
Weighted scoring with 4-tier grading: Excellent, Good, Fair, Needs Work
Top 3 Fixes card showing which changes give the biggest score lift
Score improvement simulator with real-time previews
Copy any fix suggestion to clipboard with one click
History tracking with comparison against previous audits
Export results as JSON, CSV, or printable PDF report
Accessibility labels and keyboard navigation throughout
How scoring works
Each of the 27 pillars has a different weight based on its impact on AI discoverability. Answerability and Citation-Worthiness carry the most weight. LLM Discovery and RAG-Friendly carry the least. The overall score is a weighted average.

The simulator lets you toggle improvements (add FAQ schema, convert headings to questions, add author byline, etc.) and see exactly how each change would affect your score before you make it.

Privacy
Everything runs locally in your browser. No external API calls. No data collection. No accounts. The extension only needs activeTab and storage permissions.

Who this is for
SEO specialists checking AI readiness. Content teams optimizing for featured snippets and answer engines. Developers auditing structured data and crawler access. Anyone who wants to know how AI systems read their website.