The agent gathered a partial understanding of AutoInspectKE by combining metadata from the homepage with competitor research, but could not locate pricing, detailed service differentiation, or operational contact details on the site itself. The JavaScript-based site exposed only high-level positioning (200-point inspections, certified mechanics, 24-hour reports) through static meta tags; actual pricing, booking details, and competitive differentiation were not published in a fetchable form, forcing the agent to rely on competitor websites and search results to contextualize the offering.

• ›Step [1] (homepage) returned only static meta descriptions and SEO tags; no interactive content, pricing, or service details were accessible without JavaScript execution. The site's core content was not machine-readable.
• ›Steps [10], [18], [28] pulled information about competitors (Mechanics on Wheels, PrepurchaseKenya) from external sources, revealing market context and pricing (KES 6,000 for Mechanics on Wheels) that AutoInspectKE itself did not publish.
• ›Direct navigation attempts to /pricing, /about, /how-it-works (steps [3]–[5]) all returned 404s, indicating the site lacks a traditional information architecture. The site appears to be a React SPA with no server-rendered content pages.
• ›The agent cited the AutoInspectKE homepage as a source but that step actually contained no pricing, team info, testimonials, social media links, or competitive positioning—only a title and meta description. The final answer was substantially built from external research, not the site itself.
• ›The agent inferred key claims ('200-point inspection', 'certified mechanics', '24-hour reports') from the homepage meta description alone, not from navigable or interactive site content. These appear to be boilerplate SEO metadata rather than detailed service specifications.