The agent successfully assembled a comprehensive explanation of ClearWatt's business model, target audiences, and positioning by combining fetches from the site's core pages (homepage, about, pricing, product pages) with web search results and external sources. However, the site's navigation was incomplete — critical pages like `/how-it-works` returned 404s, pricing details were scattered across multiple pages without clear hierarchy, and product naming/tier distinctions remained ambiguous even after thorough exploration. The agent had to fill gaps with external sources (Autocar, App Store reviews, government records) and prior knowledge to construct a coherent picture.

• ›Steps [1], [3], [4], [8], [10], [16] returned valid HTML pages that each contained fragments of the answer: the homepage established the core value proposition ('second-hand EV revolution'), the about page provided mission/credibility context, the pricing page promised pricing info but was truncated in fetches, EV Health Test and EV Check Plus pages explained specific products, and 'Our Approach' explained the data flywheel differentiator. None of these pages were fully readable from the truncated responses alone.
• ›Pricing was the most opaque: the agent had to cite external sources (search results mentioning £39.99, £7.99 variants) because the pricing page [4] was returned but truncated, and dealer/B2B pricing was never published. The agent explicitly flagged this in the final response: 'sources were inconsistent, suggesting pricing may have changed or tiered options exist' and 'couldn't fully access the pricing page to verify current rates.'
• ›The site's information architecture forced the agent to guess or search: `/how-it-works` and `/products` returned 404s, so the agent had to infer product structure from existing pages and search results. Product naming (EV Health Test vs. EV Check Plus vs. Copilot vs. Flash Reports) was never clarified on the site itself; the agent had to deduce relationships from multiple pages.
• ›External sources were critical to closure: steps [19], [20], [21] (web searches) returned links to Autocar articles, App Store listings, and Department for Transport records that provided pricing confirmation, competitive positioning, and credibility signals the site didn't explicitly surface. The agent cited 9 external sources vs. 6 site sources in its final answer.
• ›The site is moderately agent-readable: structured metadata (title, description) is present in all fetches, suggesting Next.js SSR with proper SEO tags. However, truncated response bodies mean the agent never saw full page content — it had to rely on meta descriptions and infer detail from external sources. No JSON-LD schema, llms.txt, or API documentation was discovered.