Score your content the way AI engines read it
Powered by the MeetGEO Content Depth Scoring Model — the same 0–100 scoring that runs inside the platform.
What is a Content Depth Score?
AI engines don't rank pages — they lift passages. The Content Depth Score renders your page the way an answer engine does and grades it across 30+ criteria: evidence density, claim specificity, structural extractability, entity clarity, and freshness. The result is a 0–100 score and a band that tells you whether your content is quotable today.
What the bands mean
- Foundational — AI engines have little to work with. Core structure and evidence are missing.
- Emerging — Readable, but not yet quotable. A few targeted fixes move you into citation range.
- Citation Ready — Structured and evidenced well enough for AI engines to lift and cite.
- Multi-Engine — Strong enough to be cited repeatedly across multiple AI engines.
Frequently Asked Questions
Why did my score change slightly when I didn't change my page?
Your score combines two kinds of measurement. Most criteria are structural — schema markup, headings, answer placement, word counts — and these are measured exactly the same way every time. A handful of criteria measure substance: things like first-hand expertise and how well claims are sourced. Those are judgment calls, graded by AI the way a human editor would grade them, and like any expert judgment they can vary by a point or two between readings.
The result: re-scoring an unchanged page can move a point or two in either direction. That's normal, and it never moves you across a band by accident — a page that's genuinely citation-ready stays citation-ready. If your score moved more than a few points, your page (or something on it, like a plugin or template) actually changed.
We continuously calibrate the substance grading against real citation outcomes across AI engines, so this tolerance tightens over time.