interviewpilot.app
success
Claude Code
intent

What does interviewpilot.app do and who is it for? Explain it back to me.

8steps
51.8sduration
$0.4017cost
36,482tokens
11 steps3 reasoning steps1 search
home
docs
/features
home
search
/how-it-works
docs
/final-round-ai-altern…
67%
answer from your site
29%
answer efficiency
67%
followed site links
answer sources
  • from this site67%
  • from search results17%
  • from agent knowledge17%
url discovery
  • given in the task14%
  • followed a link57%
  • guessed the URL29%
insight

The agent successfully extracted core positioning, pricing, and features from InterviewPilot's homepage and pricing page, but had to rely on web search results and model inference to explain the real-time mechanism and identify critical missing information. The site is moderately navigable for basic facts but lacks technical depth on how its core feature actually works during interviews, and published comparison pages are broken.

  • ›Homepage and pricing page (steps [1], [2]) were directly accessible and provided clear positioning, pricing tiers, and claim metrics (250K users, 4.9/5 rating, 99.96% uptime), but neither explained the technical implementation of real-time assistance—a fundamental gap for understanding the product.
  • ›Step [9] (web search results) was the only source that yielded operational details about response formats, customization options, and the existence of a desktop app overlay; these facts came from search snippets, not from the site's own fetchable pages, indicating the site does not prominently publish a 'how it works' guide.
  • ›Attempted feature and comparison pages (steps [3], [4], [6]) returned 404 errors, revealing either broken URLs or undocumented information architecture; the homepage claimed comparison pages existed but the agent could not access them.
  • ›The agent correctly identified ethical and legal concerns (whether real-time assistance violates interview platform ToS) and technical questions (which interview formats are supported, data handling) that the site does not address—these are model-inferred gaps, not facts from fetched content.
  • ›The site surfaces pricing clearly and supports self-serve discovery of free and paid tiers, but the real-time mechanism—the product's core differentiator—is under-explained on the domain itself, forcing the agent to infer implementation from external search results.

Help the next agent finish on interviewpilot.app

Front builds the agent version of your site and shows which agents visit, what they came for, and what your pages couldn't answer.

or talk to us about agent readiness →