The agent assembled a comprehensive explanation of MyLocalMart by combining the homepage fetch (which returned a SPA framework but no readable content), web search results (which provided business model and competitor context), and prior knowledge about Indian grocery retail in the UK. The site itself proved poorly navigable for automated agents — most direct URLs returned 404s, navigation didn't expose content in the HTML, and pricing/delivery terms had to be reconstructed from search snippets and external reviews rather than from the site's own pages.

• ›Step [1] (homepage) returned only HTML boilerplate and styling variables; no readable content about what MyLocalMart does was extractable from the DOM. The agent relied on search results (steps [6], [11], [12]) to learn it is an Indian grocery delivery service based in Bradford.
• ›Pricing information could not be fetched directly from the site. Step [13] (groceries page) also returned no usable content. The agent reconstructed pricing tiers (£19 local, £49 UK-wide) from search result snippets and external review aggregators, not from mylocalmart.co.uk itself.
• ›The site is built as a Next.js single-page app that does not render content into the initial HTML response, making it invisible to traditional web crawlers and LLM fetchers. Attempts to navigate to logical routes (/pricing, /about, /features, /how-it-works, /shop) all returned 404s or the same framework-only HTML, confirming no server-side content delivery.
• ›Competitor and differentiation analysis came entirely from web search (step [14]) and external review aggregators (step [15], [16]). The site itself contains no articulation of competitive positioning, differentiators, or comparison data.
• ›The agent cited external sources (Trustpilot, Tracxn, Facebook, app stores) in the final response because those sources contained the actual information needed to answer the task — the primary domain did not.