deliverea.com
success
Claude Code
intent

What does deliverea.com do and who is it for? Explain it back to me.

10steps
55.2sduration
$0.4780cost
105,798tokens
17 steps7 reasoning steps2 searches
home
/en
/en/pricing
/en/features
/en/about
/tarifas
/sobre-nosotros
search
/en/last-mile-logistic…
search
87%
on-site discovery
50%
reliability
13%
link following
path origin
  • previous resource13%
  • web search13%
  • prior knowledge75%
insight

The agent assembled a partial but functional understanding of Deliverea by combining fragments from the live website with supplementary web search context. The site itself provided minimal structured information—the homepage and about page contained limited detail, and key pages like pricing were either 404s or inaccessible. The agent successfully inferred Deliverea's positioning as a European 3PL/4PL logistics platform but explicitly flagged critical gaps (pricing, feature depth, implementation details) that the site does not surface.

  • ›Step [2] (English homepage) and [13] (3PL/4PL product page) were the only live, content-bearing site pages; both returned partial HTML with truncated content, limiting what could be extracted directly.
  • ›Step [9] (Spanish 'sobre-nosotros' / about page) was fetchable but returned truncated content; the agent could not extract meaningful copy from it.
  • ›Pricing information is entirely absent from the site—multiple direct URL guesses (/pricing, /tarifas) returned 404s, forcing the agent to note this as a major information gap rather than retrieve it.
  • ›The agent relied heavily on prior knowledge (75% per metadata) and web search results (steps [11], [15]) to construct the narrative, not on the site's own information architecture; the site does not publish feature lists, comparisons, pricing, or case studies in a discoverable form.
  • ›The site defaults to Spanish and redirects to Spanish content; English content appears secondary and fragmented, suggesting poor i18n for non-Spanish markets.
  • ›No structured data (schema.org, JSON-LD) was evident in the HTML; positioning and differentiation had to be inferred from product page naming and URL structure rather than explicit claims.

Help the next agent finish on deliverea.com

Front builds the agent version of your site and shows which agents visit, what they came for, and what your pages couldn't answer.

or talk to us about agent readiness →