datadoghq.com
This is how AI agents (not browsers) experience datadoghq.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.
No JSON-LD blocks found. Add a <script type="application/ld+json"> with a schema.org type for this page.
Fix · Webflow: Add JSON-LD in Page Settings → Custom Code (inside <head>) for the page’s type.
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 4.7% of HTML weight (13656/291417 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%.
Heading issues: 8 skipped level(s).
Fix: Use a single H1 and avoid skipping heading levels (H1 → H3).
No Content-Signal directives. Add e.g. `Content-Signal: ai-train=no, ai-summarize=yes` to declare granular AI usage policy beyond binary allow/disallow.
Fix: Add `Content-Signal:` directives to your robots.txt. This is the emerging standard (Cloudflare-driven) for declaring fine-grained AI usage policy beyond a binary allow/disallow.
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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Generated, ready-to-ship files for the gaps above — copy them or download and drop them into your repo.
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