We checked 215 of Germany's most important websites: the DAX 40, the highest-grossing online shops and the media with the widest reach. With 23 agent readiness checks and 3,225 German questions to OpenAI, Claude, Perplexity and Gemini.
Measured 19 September 2026 to 21 September 2026
212 out of 215 websites achieve at most level 1 on the agent readiness score. Basics like robots.txt and sitemaps are usually present, but AI-specific signals are almost entirely absent.
34 websites block or ignore requests that do not come from a browser. For AI agents without browsers, access is denied.
32 out of 211 checked websites provide an llms.txt file. This file enables language models to more easily understand the structure and purpose of the website.
30% of websites block GPTBot. Only 4 websites use content signals to treat AI bots in a differentiated way.
AI engines name the brand at varying rates. For Gemini it's 22%, for Claude 18%. Brand visibility in AI answers varies significantly depending on the engine.
Across 211 websites there is no correlation between technical agent readiness score and visibility in AI answers. For marketing and technical teams, these currently need to be optimised separately.
Only 1 website offers a standardised interface specifically for agent operations. The UCP protocol for agent connectivity appears 3 times.
Six levels, the same rules as isitagentready.com: from web basics to sites agents can work on by themselves.
Agents struggle to find basic information about the site.
Two of robots.txt, a sitemap and Link headers are in place.
Explicit AI bot rules and declared Content Signals.
Agents can request pages as markdown.
At least one of an MCP card, A2A card, skills index or API catalog is published.
Signed bots, every integration and auth metadata, two of the three.
Share of answers to brand-neutral German questions that mention the audited brand.
of Gemini's answers name the audited brand. When it doesn't, these are the names Gemini gives most often:
No clear relationship across 211 sites (Spearman ρ = 0.01, p = 0.832).
Share of sites per industry whose robots.txt blocks each bot.
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