orgo.ai
success
Claude Code
intent
What does orgo.ai do and who is it for? Explain it back to me.
6steps
43.8sduration
$0.3680cost
19,420tokens
8 steps2 reasoning steps2 searches
home
docs
docs
docs.home
search
search
33%
answer from your site
75%
answer efficiency
100%
followed site links
answer sources
- from this site33%
- from search results50%
- from agent knowledge17%
url discovery
- given in the task25%
- followed a link75%
insight
The agent satisfied the core task by assembling a coherent explanation of Orgo's purpose, audience, pricing, and positioning. However, the site itself was poorly navigable for this intent: pricing information was not accessible on the official pricing page, forcing the agent to rely on third-party pricing aggregators, and competitive positioning was absent from Orgo's own documentation.
- ›Pricing information was completely absent from orgo.ai/pricing (step [2]); the agent retrieved it only via third-party search results (step [5]), indicating the site does not publish its own pricing in a machine-readable or easily discoverable form.
- ›Core product documentation (steps [1], [3], [4]) clearly explained what Orgo does and how it works but lacked business context: use-case clarity, real-world examples, and pricing were missing from the site itself.
- ›Competitor and alternative information came entirely from search results (step [6]), not from the site; Orgo's own docs contain no competitive positioning or migration guides that would help a prospect understand differentiation.
- ›The agent had to invent the 'gaps and confusions' section using model memory because the site's omissions (transparent pricing, use-case examples, positioning) were evident as absences—not positive content the site returned.
- ›Discovery path was mixed: homepage and docs were typed from memory (25% of discovery) rather than surfaced by the site's own navigation, and pricing required a web search rather than internal link follow.
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