The agent assembled a reasonably complete picture of Poach by combining homepage metadata, landing page fragments, and app store listings—but had to work around a sparse website that doesn't expose pricing, features, or positioning clearly. The site lacks dedicated `/pricing` and `/features` pages (both returned 404s), forcing the agent to stitch together information from multiple shallow landing pages and external sources (App Store, web search results) rather than serving it directly.

• ›Steps [1, 8, 9, 15] returned page metadata, descriptions, and schema markup that articulated core value (save from TikTok/Instagram, offline-first, no account) but did not surface pricing tiers, free-tier limits, or comparison positioning—all discovered via web search and external citations rather than site-native content.
• ›The homepage (step [1]) and landing pages (steps [8, 9, 15]) are metadata-rich for SEO but content-light; they rely on link titles and meta descriptions rather than rendering detailed feature lists or pricing tables. The agent had to infer free-tier limits (20 recipes, 2 collections) and UK pricing (£1.99/month) from web search results and App Store pages, not from poachapp.com itself.
• ›The site is poorly indexed for product questions—`/pricing`, `/about`, and `/features` all return 404s—meaning an agent cannot navigate to answers and must either guess URLs or rely on search. The agent correctly identified this friction and worked around it by searching and consulting the App Store listing (step [10]), which had more detailed pricing and review data.
• ›Key differentiators (offline-first, no account required, social media–native, screenshot recognition) are mentioned in meta descriptions and landing page titles but never systematized on the site; the agent had to extract and synthesize them from multiple fragments.