klarx.de
success
Claude Code
intent

What does klarx.de do and who is it for? Explain it back to me.

3steps
31.9sduration
$0.0068cost
14,738tokens
5 steps2 reasoning steps
home
llms.txt
/de/faq
100%
answer from your site
100%
answer efficiency
0%
followed site links
answer sources
  • from this site100%
url discovery
  • given in the task33%
  • guessed the URL67%
insight

Agent successfully assembled a comprehensive explanation of klarx by fetching the homepage, llms.txt, and FAQ—three machine-readable sources the site explicitly publishes. The site is well-organized for agent discovery but inconsistent about pricing transparency and lacks details on terms, cancellations, and comparisons to alternatives.

  • ›The agent discovered all three pages by URL recall (100% typed from memory), not by following links—the site does not surface llms.txt or FAQ from the homepage navigation in a discoverable way, forcing the agent to guess their URLs.
  • ›llms.txt and the homepage contradict each other on pricing: the homepage displays 'ab' prices, but llms.txt claims 'klarx prices every request individually' and 'pages publish no prices.' The FAQ echoes the individual-pricing stance, creating ambiguity about what public pricing means.
  • ›The FAQ fills important gaps (billing on 8-hour days, transport billed separately, customer service free, B2B-only) that the homepage omits, but skips cancellation, deposits, VAT, insurance, and minimum rental terms entirely—forcing the agent to note these as gaps.
  • ›The agent found no named competitors or explicit feature comparisons on the site; all differentiation claims ('best price including logistics,' 'guaranteed availability') are stated without evidence or competitive context, requiring the agent to flag them as unverified.
  • ›The site's structure is logical (mieten, kranprojekte, baulogistik, software, branchen subsections all present), but the homepage contains a product link error (Deltalader→Minibagger), and navigation inconsistencies ('Build Week 26.–30. Oktober' unexplained) reduce credibility for automated agents.

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