gosearch.ai
success
Claude Code
intent

What does gosearch.ai do and who is it for? Explain it back to me.

10steps
51.9sduration
$0.6243cost
100,868tokens
13 steps3 reasoning steps3 searches
home
docs
/features
docs
home
docs
search
/product/pricing
search
search
86%
on-site discovery
71%
reliability
57%
link following
path origin
  • previous resource57%
  • web search14%
  • prior knowledge29%
insight

The agent successfully assembled a comprehensive explanation of GoSearch.ai by combining direct site fetches with web search results. The site's pricing and features pages rendered via heavy JavaScript and did not expose readable HTML content in the fetches, forcing the agent to rely on search engine results and blog posts—including competitor comparison content hosted on GoSearch's own domain—to construct the full picture. Despite this friction, the agent delivered a well-sourced answer with clear positioning, pricing tiers, and competitive differentiation.

  • ›Steps [2] and [6] fetched the pricing pages directly (/pricing and /product/pricing) but returned only JavaScript boilerplate—no readable pricing data. The agent could not extract prices from the site itself and had to source pricing information from search result snippets (step [8]) and cited blog posts.
  • ›Steps [8] and [9] (web searches) returned URLs to GoSearch's own blog posts and comparison pages; these were the primary content-bearing sources for differentiators, pricing, and positioning. The agent cited these search-driven links in its final sources list, indicating the site's canonical content was discoverable only via search, not direct navigation.
  • ›Step [10] fetched /product/pricing after search directed it there, but again returned only JavaScript. The agent never obtained a parseable pricing page from the site itself; all pricing detail came from search result snippets and blog content.
  • ›The site's information architecture failed agent parsing: standard routes like /pricing and /features returned 404s or JavaScript-only content. The agent had to infer the correct URL structure (/product/pricing) from search results, then still could not read it.
  • ›GoSearch's blog and comparison pages (e.g., 'Glean Alternatives', competitor FAQs) hosted on the same domain were the actual content-bearing artifacts. These are agent-ready (text-rich, indexed) but require web search discovery—they are not surfaced by the site's own navigation or direct URL guessing.
  • ›The agent's final answer was comprehensive and well-cited, but constructed primarily from off-site sources and GoSearch's own blog rather than from the homepage or product pages. This indicates the site itself is not self-describing for agent evaluation tasks.

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