Metrics Reference

Every subscore in SEODiff explained — how it's calculated, what it measures, and how to improve it.
DocsConcepts

Core subscores (used in AI Readiness Score)

These five metrics are weighted and combined into the AI Readiness Score (0–100):

Bot Access Score

Are AI crawlers allowed? 20 points per allowed bot.

Weight: 30%

Rendering Score

How much content is server-rendered vs JavaScript-dependent?

Weight: 25%

Structure Score

Semantic HTML usage — lists, tables, and heading hierarchy.

Weight: 20%

Schema Score

JSON-LD structured data presence and diversity.

Weight: 15%

Tech Stack Score

Framework's default AI-friendliness rating.

Weight: 10%

Derived metrics

These are computed from combinations of core subscores and additional signals:

Extractability Score

Can AI reliably pull primary content? Combines structure, schema, rendering, and bloat.

Derived

Crawl Cost Score

How expensive pages are to crawl — HTML size, scripts, and bloat.

Derived

Token Bloat Ratio

Ratio of total HTML bytes to useful text bytes.

Raw signal

Multimodal Readiness

Percentage of images with alt text.

Raw signal

Blocklist Risk

How many AI crawlers are blocked (0–5 scale).

Count