Scoring Methodology

Our AI audit measures proxy signals — the structural, technical, and content indicators that AI systems use to discover and understand websites. We do not measure actual AI citations or visibility directly. Here's exactly how the scoring works.

Scoring Formula

Each check produces a score from 0–100. The final score is a weighted average based on severity:

score = Σ(check_score × severity_weight) / Σ(severity_weight)

Severity Weights

3×Critical

Fundamental signals — without these, AI crawlers may not be able to access or index your site at all.

2×Important

Key indicators that significantly affect how well AI can understand and reference your content.

1×Recommended

Nice-to-have signals that can improve AI discoverability but aren't essential.

Grade Thresholds

A+

95–100

80–94

65–79

50–64

30–49

0–29

What We Measure

AI Visibility Indicators

Bot access rules, llms.txt, structured data depth, entity identification, FAQ/HowTo schema, content licensing, feed discovery, and LLM probe results.

Content Structure for AI

Answer-first patterns, content clarity, conversational snippets, E-E-A-T signals, freshness, factual structure, SSR, semantic HTML, content ratio, clean URLs, multimodal accessibility, and source attribution.

Technical SEO Foundation

HTTPS, title/meta/H1 tags, heading hierarchy, robots directives, canonical tags, image alt text, Open Graph, viewport, favicon, language, content length, structured data, robots.txt, sitemap, internal links, security headers, hreflang, and Core Web Vitals.

Important Disclaimer

This audit measures indicators and proxy signals — not actual AI visibility. A high score means your site has the structural signals AI systems look for, but it does not guarantee that ChatGPT, Perplexity, or other AI assistants will cite or recommend your site. AI citation depends on many factors beyond what any single audit can measure, including content authority, backlink profile, training data, and retrieval algorithms.