The agent successfully gathered comprehensive information about Stacktree by visiting the homepage, pricing, about, and several detailed guides. The site is well-navigable with clear metadata and linked documentation; the agent assembled a complete picture of what Stacktree does, who it's for, pricing tiers, and differentiation from alternatives, though some details (full Firm plan features, exact analytics mechanisms) remained partially truncated or undocumented.

• ›The homepage [1], pricing [2], and about [3] pages all contained precise, machine-readable metadata in title and description tags that directly answered the core questions: what it does ('send client work as a link, not an attachment'), who it's for (consultancies, AI agents), and pricing structure ('Free/Solo $19/Studio $79/Firm $249'). These were immediately fetchable without needing to parse rendered HTML.
• ›The agent located specialized comparison content [10] (Claude Code deployment methods) and how-to guides [11] (sharing HTML with clients) by following site navigation and search results, which proved especially valuable for understanding positioning against Netlify, Vercel, and Cloudflare—this differentiation was explicit in the page titles and descriptions, not buried in prose.
• ›The site exposed its core audience segmentation clearly (professional services firms + AI agents) through both marketing copy and technical documentation (MCP integration, agent-native publishing), but the agent noted that the exact definition of 'client spaces' and full feature set for the Firm tier ($249/mo) were truncated in the fetched responses, suggesting either pagination issues or incompleteness in the source HTML rather than a site navigation problem.
• ›Pricing and plan details were directly fetchable and complete in metadata and structured descriptions; no paywall or login required to view the full offering. The site is transparent about tiers and their features, making it highly agent-ready for the billing and offering discovery layer.