The agent assembled a partial but reasonable explanation of Ghostfeed.ai by combining direct homepage fetches, a blog comparison article, and external third-party pricing coverage. The site itself proved difficult to navigate programmatically—most content is dynamically rendered, pricing details were not directly accessible from the fetched pages, and the agent had to rely heavily on web search and prior knowledge (60% of fetch sources) to fill gaps that the site's own pages did not expose in machine-readable form.

• ›Step [1] (homepage) and step [3] (pricing page) returned Next.js-rendered HTML but the actual content—pricing tiers, feature breakdowns, detailed positioning—was not present in the fetched response text. The agent could not extract concrete pricing from the site's own /pricing URL.
• ›Step [7] (ghostfeed.ai/blog/ai-ugc-tools-comparison) appeared to contain Ghostfeed's own competitive positioning but the full article text was truncated in the fetch, forcing the agent to construct the comparison table from prior knowledge and web search results rather than from Ghostfeed's own published comparison.
• ›Step [14] (CineRads third-party pricing guide) was fetched but not cited in the final response; it appears to have been used to triangulate pricing information that Ghostfeed's own site did not publish in accessible form.
• ›The agent explicitly flagged 6 key gaps in the final response—exact pricing tiers, feature/tier mapping, platform rollout timelines, usage limits, support details, and performance data—none of which were retrievable from Ghostfeed's own published pages. This indicates the site does not publish product specification data in a machine-readable or easily indexable format.
• ›The agent's sources section cites 4 URLs: the Ghostfeed homepage, Ghostfeed's own blog comparison, Ghostfeed's GradBro case study, and CineRads (external). Only steps [1] and [7] are Ghostfeed-owned; [14] is external. This suggests Ghostfeed's own site surfaced positioning but not pricing or feature details.