vercel.com
This is how AI agents (not browsers) experience vercel.com. The score weights five categories of machine-readability; the ticks on the arc are the 30 individual checks behind it.
Top fixes
Checks tagged “emerging” are 2026 agent-protocol standards most of the web hasn’t adopted yet — adopting early is an edge, not a defect.
Found /llms.txt but missing H1 header.
Fix · Next.js: Add /llms.txt via app/llms.txt/route.ts (or public/llms.txt). Generate one free at /tools/llms-txt-generator.
No HTTP Link: response headers. Emit canonical/alternate/describedby relations so HEAD-only or stream-rendering agents get them without parsing HTML.
Fix: Emit `Link:` headers for canonical, alternate-language, and describedby relations. Agents that fetch HEAD-only or stream-render rely on these.
Visible text is 0.6% of HTML weight (3678/577045 bytes). Low. Markup may be crowding out agent-usable text.
Fix: Heavy ad or navigation markup crowds out agent-usable text. Aim for a text-to-DOM ratio above 15%.
Meta description is 45 characters; aim for 50–200 so it's neither thin nor truncated.
Fix: Add `<meta name="description" content="...">` to your primary pages. Agents frequently use it as a summary.
1 recommended-field warning(s). First: Type "SoftwareApplication" not in our V1 schema subset. Validation skipped; block may still be valid.
Fix: Validate your JSON-LD with Google Rich Results test. Fix missing required properties.
No valid MCP Server Card at /.well-known/mcp/server-card.json. Publish one so agents can discover your tools without HTML scraping.
Fix: Publish an MCP Server Card describing the tools your site exposes. Agents discover capabilities via `/.well-known/mcp/server-card.json`. See modelcontextprotocol.io for the schema.
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