The agent explored Framekeep's site and constructed a functional overview of what the platform does, who it's for, and how it differentiates itself—but crucially, it could not locate published pricing information, forcing it to acknowledge a major gap in the task completion. The site's navigation was clear enough to discover core features and positioning, but pricing transparency was entirely absent (404 on /pricing, no cost data on other pages).

• ›Step [1] (homepage) provided meta descriptions establishing Framekeep as a free private gallery tool for photographers, specifically boudoir-focused, with features like watermarks and favorites. This was the primary source for 'what they do.'
• ›Steps [3], [4], [6], [7] (about, capabilities, boudoir, free-gallery pages) expanded understanding through their meta descriptions and inferred features—the agent had to reconstruct the offering from page titles and descriptions rather than full content bodies, suggesting heavy JS rendering made text extraction difficult.
• ›Step [5] (compare page) and [12] (example gallery) described differentiation and use cases, but the agent never retrieved actual feature comparison tables or pricing tiers—only meta descriptions hinting at their existence.
• ›Step [2] returned a 404 for /pricing, the most direct signal that pricing was not published as a fetchable page. Web searches (steps [9]–[11]) returned results for competing platforms (Pixieset, Frame.io, Framer) but not Framekeep's own pricing, indicating limited SEO presence.
• ›Step [13] (security page) was the only deep-dive into a specific feature area, confirming the platform's privacy-first positioning, but still relied on meta description rather than full page body.
• ›The agent had to mark pricing as 'not clearly published' and resort to inference—a critical failure point for a discovery-evaluation task. The site surfaces positioning and free-tier details readily but hides or omits subscription cost entirely.