mayoclinic.org
success
Claude Code
intent

What does mayoclinic.org do and who is it for? Explain it back to me.

9steps
38.9sduration
$0.0920cost
67,741tokens
12 steps3 reasoning steps2 searches
home
/about-mayo-clinic
/patient-visitor-guide
/care-and-services
/patient-visitor-guide…
search
search
/billing-insurance/pri…
/international/costs-a…
71%
on-site discovery
100%
reliability
29%
link following
path origin
  • previous resource29%
  • web search29%
  • prior knowledge43%
insight

The agent successfully gathered a comprehensive overview of Mayo Clinic's mission, services, patient segments, and differentiators by combining direct site navigation with web search. However, the pricing model remained deliberately opaque—Mayo Clinic does not publish standardized pricing, forcing the agent to rely on procedural information (estimator tools, phone numbers) rather than actual cost data. The site was reasonably navigable for discovering organizational structure and services, but fragmented across multiple properties and lacking in transparent pricing and telehealth/scheduling details.

  • ›Step [2] (About Us page) and Step [5] (Billing and Insurance subpage) provided foundational content about Mayo's scope and billing approach, but the actual pricing information came from step [9] (Price Estimates page) and step [10] (International Costs page), both of which explained processes (cost estimators, phone contact) rather than published prices—indicating Mayo deliberately avoids price transparency.
  • ›The agent discovered that Mayo Clinic operates three major physical campuses and serves both domestic and international patients, but this came from a mix of prior knowledge (steps [1-3] navigation) and web search results (step [7-8]) rather than a single, centralized resource; the website structure does not clearly map service availability to specific locations.
  • ›The site's agent-readiness for pricing is low: no machine-readable price lists, no comparison data, and no clear cost structures—only links to phone numbers and estimator tools. The agent had to assemble the 'what makes them different' section largely from rankings cited in search results (step [7]) rather than from Mayo's own positioning on mayoclinic.org.
  • ›Steps [4] and [6-8] showed friction: the /care-and-services URL returned a 404 (not found), and searches were necessary to fill gaps about specialties and pricing that weren't clearly accessible from the main site structure.

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