green365.ai
success
Claude Code
intent
What does green365.ai do and who is it for? Explain it back to me.
6steps
43.6sduration
$0.3066cost
25,201tokens
8 steps2 reasoning steps
home
docs
/features
home
docs
/plans
80%
answer from your site
67%
answer efficiency
80%
followed site links
answer sources
- from this site80%
- from agent knowledge20%
url discovery
- given in the task17%
- followed a link67%
- guessed the URL17%
insight
The agent successfully assembled a complete explanation of Green365's core offering, pricing, and positioning by fetching the homepage, about page, and pricing page. The site was navigable but required direct URL guessing (2 of 3 successful pages were typed from memory rather than surfaced by links), and several paths (e.g., /pricing, /features) returned 404s, forcing reliance on what was findable.
- ›The homepage and about page provided the substantive positioning (multi-sport data platform, not a sportsbook, focus on referee analytics and monitoring bots), but the agent had to guess the /about and /plans URLs — they were not discoverable via navigation links from the homepage.
- ›Pricing information was completely absent from the homepage and about page; the /plans page existed and was reachable via a link from /about but contained all three tier details without additional discovery friction once located.
- ›The agent correctly identified that the site does NOT explain competitor names or how Green365 compares to specific alternatives, and flagged this gap in the final response.
- ›Free vs. paid scope was ambiguous on the site (mentioned free calculators and monitoring bots but no clear delineation), leading the agent to note this as a confusing gap rather than claim information it did not have.
- ›The site's 404 responses to /pricing and /features URLs suggest either outdated navigation hints in the homepage or a sparse site structure that required direct URL guessing to succeed; this is a navigability friction point that the 'light bridge' outcome captures.
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