cogniagent.ai
success
Claude Code
intent
What does cogniagent.ai do and who is it for? Explain it back to me.
7steps
53.8sduration
$0.3365cost
30,854tokens
8 steps1 reasoning step
home
docs
/features
/solutions
/use-cases
/customers
docs
100%
answer from your site
57%
answer efficiency
83%
followed site links
answer sources
- from this site100%
url discovery
- given in the task14%
- followed a link71%
- guessed the URL14%
insight
Agent successfully gathered comprehensive positioning, pricing, and differentiation information from the CogniAgent site. Navigation was straightforward for the main pages (homepage, pricing, features, about), but several expected pages (use-cases, customers, solutions) returned 404s, limiting access to case study evidence and explicit competitive positioning.
- ›Step [0] homepage provided foundational overview (capabilities, target users, integration count) without requiring further navigation; agent augmented this with follow-ups rather than relying on homepage alone.
- ›Step [1] pricing page delivered granular credit-based cost structure with concrete numbers ($10 minimum, per-operation fees, enterprise tier) that the agent directly transcribed; this was the most structured and machine-readable content.
- ›Step [2] features page exposed differentiators (multi-agent coordination, emotional intelligence, data flexibility) as prose claims rather than structured comparison; agent had to extract positioning from marketing language rather than competitive matrix.
- ›Step [6] about page (typed from memory, not linked from site) supplied company heritage and mission statement; agent used this to contextualize the platform's philosophy, but the site did not surface this URL in navigation.
- ›Steps [3], [4], [5] all returned 404s (use-cases, customers, solutions), forcing agent to acknowledge a gap in real-world evidence and case study content; agent noted this limitation transparently in final response rather than filling it from model memory.
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