deepl.com
This is how AI agents (not browsers) experience deepl.com. The score weights five categories of machine-readability; the ticks on the arc are the 31 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 reachable sitemap.xml. Publish one and reference it in robots.txt.
Fix · Next.js: Add app/sitemap.ts (Next’s sitemap convention) and reference it from robots.txt.
No <link rel="canonical"> tag in <head>. Agents use canonical URLs to dedupe and cite.
Fix · Next.js: Set alternates.canonical in the Metadata API (generateMetadata) for each route.
Visible text is 1.8% of HTML weight (8427/463420 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%.
1 recommended-field warning(s). First: WebSite recommends "potentialAction" (improves agent comprehension). 1 block(s) skipped — type outside the set we check.
Fix: Validate your JSON-LD with Google Rich Results test. Fix missing required properties.
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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Fix it
Generated, ready-to-ship files for the gaps above — copy them or download and drop them into your repo.
This scan shows whether an agent can read the site. One free probe asks a real assistant a real buying question and records who it cited.
This graded your homepage. Your pricing, docs, and checkout live on other pages — the ones assistants actually quote when they recommend you — and a 71/100 here means agents are already missing things on the page you polish most. The $29 Deep Scan audits the whole site against all 31 checks, then emails a PDF with every failing check and its exact fix, ranked by what costs you the most visibility. One-time, delivered in minutes, no subscription.
Right now, only you know this score. Your buyers ask AI before they buy — certification is how you show them, and anyone comparing you to a competitor, that assistants can actually read, quote, and use your site.
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- An embeddable badge for your site — the visible version of a property competitors can’t claim without earning the score.
- Weekly re-checks for a full year. A deploy that breaks agent access gets caught before it costs you recommendations — and before the certificate would lapse.
Sites under 70 can’t buy this at any price — that’s what makes displaying it mean something.
Certify deepl.com — $199/year →What the agent receives
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