The agent successfully assembled a comprehensive explanation of AppsFlyer by combining direct site exploration with web search findings. The site itself provided basic product and pricing information, but lacked transparent pricing tiers, competitive positioning, and detailed feature breakdowns — forcing the agent to supplement with external sources and prior knowledge. Navigation was straightforward for core pages (homepage, pricing, products), but some enterprise details were inaccessible (502 error on /enterprise).

• ›Homepage [1], pricing page [2], and product pages [3, 5, 9, 15] successfully conveyed what AppsFlyer does (attribution, measurement, deep linking, data collaboration) and its target audience, but pricing details were incomplete on-site — the agent needed external research to explain consumption-based pricing and tier specifics.
• ›The site's information architecture was semi-navigable: core URLs followed predictable patterns (/product, /products, /pricing, /about) and many fetches succeeded, but comparison pages (vs competitors) and enterprise details were absent or broken, requiring the agent to source competitive differentiation from external third-party analyses rather than AppsFlyer's own positioning.
• ›The agent relied heavily on prior knowledge (42% of fetches sourced from prior knowledge per the run metadata) to fill gaps left by the website — particularly around pricing tiers, competitor names, and nuanced differentiators — indicating the site does not comprehensively publish this information in a directly crawlable form.
• ›Web search [12, 13, 16] provided critical context on pricing structures, competitors, and attribution uniqueness that the main site did not explicitly state, suggesting AppsFlyer's website is optimized for user sign-ups rather than detailed self-serve research.