datev.de
This is how AI agents (not browsers) experience datev.de. The score weights five categories of machine-readability; the ticks on the arc are the 31 individual checks behind it.
Top fixes
No reachable sitemap.xml. Publish one and reference it in robots.txt.
Fix: Publish /sitemap.xml and reference it from robots.txt with a Sitemap: line.
No JSON-LD blocks found. Add a <script type="application/ld+json"> with a schema.org type for this page.
Fix: Add a <script type="application/ld+json"> describing the page (Organization, Article, Product, FAQPage).
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 5.3% of HTML weight (4332/81848 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%.
Consent modal detected (cookielaw.org); content still visible. Verify the modal does not block first-paint for screenshot agents.
Fix: Defer cookie consent overlay until after content is visible, or render behind the primary content. Agents without JS or with ad-blocking profiles see a blank page otherwise.
TTFB 926ms. Acceptable.
Fix: Agents time out aggressively. Use edge caching for anonymous requests to cut TTFB below 800ms.
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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 62/100 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.
What the agent receives
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Get this report by email, then a heads-up when datev.de’s agent-readiness actually changes — a check regressing, or the composite dropping.
Two things never trigger an email: a score change caused by us publishing a new rubric, because that is a different instrument rather than a change to your site, and movement explained only by timing-derived checks, which shift run to run on a site nobody touched.
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This score says whether an AI agent could read datev.de. AI traffic analytics says whether one actually came — and which pages turned it away.
Full breakdown
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