teamland.com
success
Claude Code
intent

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

21steps
83.7sduration
$1.3982cost
291,535tokens
24 steps3 reasoning steps10 searches
home
docs
/product
docs
/services
search
/training
/meet
search
/post/how-much-do-team…
/ai-training
search
search
/faq
/reviews/reviews
search
search
search
search
search
search
45%
on-site discovery
64%
reliability
18%
link following
path origin
  • previous resource18%
  • web search55%
  • prior knowledge27%
insight

The agent successfully synthesized a comprehensive explanation of Teamland's offerings, target audience, and differentiation by combining homepage metadata with deep dives into service pages (/training, /ai-training), FAQ, reviews, and the CTS methodology page. However, pricing remained deliberately opaque—the site offers no transparent rate card, forcing the agent to acknowledge this gap and note that custom quotes are required. The website's structure made discovery moderately difficult: standard pricing/about/services URLs returned 404s, and the agent had to rely heavily on web search to surface the working pages.

  • ›Step [1] homepage meta-description immediately positioned the company ('facilitator-led AI training, team building, and offsites, measured before and after'), but did not expose the full service menu or pricing structure in static HTML.
  • ›Steps [8, 12] (/training, /ai-training) provided detailed descriptions of AI and corporate training programs by role/industry, revealing the breadth of offerings and the 'before/after measurement' differentiation, which became a core pillar of the final answer.
  • ›Step [15] (FAQ) and [16] (reviews) gave visibility into what clients say and how the company positions itself, but neither contained specific pricing tiers or case study ROI figures.
  • ›Step [21] (CTS methodology page) was discovered only via targeted web search, not by site navigation; it explained the proprietary framework that underpins their differentiation—a critical piece the agent had to hunt for.
  • ›Steps [3–6] attempted standard navigation patterns (/pricing, /product, /about, /services) and all returned 404s, indicating poor IA for agent discovery; the agent then resorted to web search to find working pages.
  • ›The agent cited 8 resources in its final response source list, but 7 out of 8 were discovered via web search or prior knowledge, not by following on-page navigation—a sign the site does not surface its own content hierarchically.
  • ›Pricing information was entirely absent from the site; the agent correctly noted this as a 'confusing' gap and explained that budget discussions require direct contact—an honest acknowledgment of incomplete disclosure rather than a failure to find hidden data.

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