wilo.fr
success
Claude Code
intent

What does wilo.fr do and who is it for? Explain it back to me.

5steps
39.0sduration
$0.5671cost
21,492tokens
7 steps2 reasoning steps
home
/fr/fr
/fr/fr
/fr/fr
/fr/fr
80%
answer from your site
40%
answer efficiency
100%
followed site links
answer sources
  • from this site80%
  • from agent knowledge20%
url discovery
  • given in the task20%
  • followed a link80%
insight

The agent successfully assembled a workable explanation of Wilo's business, positioning, and market served by fetching the redirected French homepage twice and extracting core content about products, customers, and competitive claims. The site exposed what Wilo does and how it differentiates but obscured pricing and competitor context, forcing the agent to flag gaps and infer from model knowledge what alternatives might exist.

  • ›Step [2] was the primary content source: a single homepage fetch returned enough product categories, customer segments, and service descriptions to build most of the answer. The site does not require deep navigation—core information is concentrated on the landing page.
  • ›Pricing was explicitly absent from the site; step [3]'s fetch confirmed this is intentional B2B behavior (custom quotes required). The agent correctly identified this as a structural feature, not a retrieval failure.
  • ›Step [4]'s fetch on competitive differentiation relied heavily on site messaging (sustainability rating, digital protocols, Laval manufacturing) but the agent acknowledged the site does not name competitors—a transparency gap the agent filled by noting what the site *does not* say rather than inventing competitor claims.
  • ›The agent re-fetched the same URL three times (steps [2], [3], [4]) with different prompts, suggesting the site's single-page design made it necessary to re-query the same endpoint for different slices of information rather than discover distinct pages through navigation.
  • ›No competitor names, distribution channel detail, or market-share data appeared in the fetched content; the agent correctly attributed these gaps to site silence rather than missing it, grounding the final response in what was actually surfaced.

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