Help Center•March 22, 2026
Metadata Quality: Giving AI Context Before It Reads Your Content
How meta descriptions, OG tags, and semantic HTML help AI understand your page.
What it measures
This metric evaluates the completeness of your page's metadata — meta description, Open Graph tags (og:title, og:description, og:image), Twitter cards, canonical URL, and semantic HTML5 elements.
Why it matters for AI
Complete metadata helps AI understand your content's purpose and context before reading the body. It's like a cover letter for your page — AI uses it to quickly assess relevance. Missing or incomplete metadata means AI has to guess, reducing its confidence in citing your page.
| Tag | Purpose | Impact if missing |
|---|---|---|
| Meta description | Page summary for search/AI | AI generates its own (often worse) summary |
| og:title | Page title for sharing/AI | Fallback to <title> tag (usually fine) |
| og:description | Rich preview description | No social preview context |
| og:image | Visual context for the page | No visual preview |
| Canonical URL | Avoid duplicate content | AI may index multiple URLs for same content |
How to improve
- Add a meta description — 120–160 characters, summarising what the page covers
- Include all 5 OG tags — og:title, og:description, og:image, og:url, og:type
- Add a canonical URL — Prevents duplicate content confusion
- Use semantic HTML5 elements — <article>, <main>, <section>, <time>
💡 Quick win
Add a 150-character meta description that clearly states what this page teaches. AI uses it as a quick relevance check.