cnaught.com
success
Claude Code
intent

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

10steps
52.4sduration
$0.5846cost
91,756tokens
17 steps7 reasoning steps3 searches
home
docs
search
/platform
/credit-categories
docs
/2025/05/06/cnaught-wa…
search
search
docs
43%
on-site discovery
100%
reliability
14%
link following
path origin
  • previous resource14%
  • web search57%
  • prior knowledge29%
insight

The agent successfully gathered enough information to explain CNaught's core business (AI-powered carbon credit marketplace with curated portfolios), target audience (SMEs to enterprises), and key differentiators (rigorous vetting, pre-curated portfolios, Oxford-aligned). However, the site failed to surface critical pricing details and portfolio composition publicly—the agent had to acknowledge these as gaps it could not fill despite visiting the pricing page and platform pages. The site is moderately agent-navigable for positioning but opaque on transactional details.

  • ›Steps [1], [3], [8], [9] returned marketing-layer content (taglines, mission statements, category descriptions) but the pricing page [3] did not publish actual per-tonne rates, forcing the agent to note 'specific price per tonne is not publicly listed' and provide industry context instead of CNaught's actual pricing.
  • ›Steps [6], [9], [10] surfaced positioning and differentiation through editorial copy (Oxford alignment, 7-step diligence, rating agency partnerships, comparison to Patch/Cloverly) but this information was assembled from multiple pages rather than structured in a single machine-readable format; the agent had to piece together the narrative.
  • ›Step [12] (TechCrunch article) was cited as a source but the trajectory shows it was fetched [12] yet the agent's final response does not directly quote or reference specific facts from it, suggesting it may have provided confirmation rather than novel content-bearing information.
  • ›The site lacks detailed public disclosure of the three curated portfolios' contents, the 'CNaught Guarantee' terms, and the AI tools' actual capabilities—all flagged by the agent as 'couldn't find or found confusing,' indicating the site requires direct user engagement (login/contact) to resolve these questions.
  • ›The agent successfully used web search [5], [14], [15] to discover comparison articles and contextual market pricing, demonstrating the site alone was insufficient for a complete competitive analysis without external sources.

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