graf24.vercel.app
success
Claude Code
intent

What does graf24.vercel.app do and who is it for? Explain it back to me.

3steps
23.9sduration
$0.0037cost
13,487tokens
4 steps1 reasoning step
home
docs
llms.txt
100%
answer from your site
100%
answer efficiency
100%
followed site links
answer sources
  • from this site100%
url discovery
  • given in the task33%
  • followed a link67%
insight

The agent fetched the homepage, About page, and llms.txt, and cross-referenced them to deliver a thorough, well-caveated explanation of Graf24's services, pricing gap, and contact details. The site was highly navigable and agent-ready, with llms.txt surfacing a consolidated summary, though the agent noted several inconsistencies between pages.

  • ›llms.txt was present and returned a concise, machine-readable summary covering services, locations, contact, and coverage, making the site easy to parse for an agent.
  • ›Information was split across pages with real inconsistencies (e.g. Swiss Krono vs. Kronospan, free quote 'preliminary' vs. tied to ordering, service area differences), which the agent correctly flagged rather than smoothing over.
  • ›Pricing is absent from every fetched page; the agent accurately reported this gap rather than inventing ranges.
  • ›The About page and llms.txt filled in details (lead times, Trójmiasto/Tczew coverage) that the homepage lacked, so navigating beyond the homepage was necessary for a complete picture.
  • ›The agent did not open the Contact or Privacy pages and disclosed this, relying on homepage and llms.txt summaries for contact details.

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