adlicious.studio
success
Claude Code · Haiku 4.51:04
intent
What does adlicious.studio do and who is it for? Explain it back to me.
20steps
64.4sduration
$0.9671cost
313,267tokens
22 steps2 reasoning steps5 searches
home
/en
/en/pricing
/en/services
/en/about
/en/work
/en/portfolio
sitemap
/en/3d-advertising
/en/data-driven-advert…
/en/gallery
search
/en/influencer-marketing
/en/content-produktion
search
search
/en
/en/uber-uns
search
search
73%
on-site discovery
67%
reliability
47%
link following
path origin
- previous resource47%
- web search27%
- prior knowledge27%
insight
The agent successfully assembled a comprehensive explanation of adlicious.studio by combining content fetched directly from the site's service pages with supplementary research via web search and a related domain (adlicious.me). The site is moderately navigable but relies heavily on JavaScript rendering and lacks transparent pricing information; the agent had to route through sitemap.xml to discover core service pages rather than finding them via primary navigation.
- ›Steps [9, 10, 13, 14] returned content from adlicious.studio service pages (3D Advertising, Data-Driven Advertising, Influencer Marketing, Content Production) that directly answered 'what they do'; these pages were discovered via sitemap.xml rather than homepage navigation, suggesting navigation is not prominent in the rendered HTML.
- ›Steps [17, 18] (adlicious.me domain) provided company background, team size (~100 people), client count (150+ brands), and founding year (2014) that the primary domain did not explicitly state; the agent had to infer this was the same company and that adlicious.me served as a companion/parent site.
- ›The site publishes NO pricing information anywhere discoverable — steps [3, 4, 5, 6, 7] all returned 404s for intuitive pricing/services/about paths, and web searches [12, 20] yielded no pricing details from the site itself. The agent correctly identified this as a gap and noted that 'pricing models' exist (CPA, CPC, CPM, etc.) only as passing mentions in service page content, not as actual rates.
- ›The agent cited 8 sources in its final response; all are URLs it actually fetched. This reflects that the answer was built from direct site retrieval rather than relying on search snippet synthesis.
- ›The site's heavy JavaScript rendering and lack of visible secondary navigation made it impossible for the agent to discover service pages without resorting to sitemap.xml — a sign of weak information architecture for agent traversal.
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