The agent gathered a coherent picture of Ziggle.art's core value proposition—an AI mascot animator for app developers—but hit significant friction finding pricing details. The homepage (step 1) and comparison pages (steps 9–11) provided positioning and use cases; web search results and comparison articles (steps 14) surfaced the Rive and Canva differentiation. However, the site does not expose a dedicated pricing page, forcing the agent to rely on blog content and incomplete pricing fragments, leaving multiple pricing tiers and trial availability unconfirmed.

• ›Step 1 (homepage) returned a Next.js client-rendered app with minimal extractable text—the agent could not parse product details from the raw HTML and had to pivot to web search and comparison pages.
• ›Steps 9, 10, 11 (comparison pages: Canva, Rive, Duolingo Effect) were content-bearing and explicitly cited. These pages articulated the differentiation clearly, demonstrating the site *does* publish positioning content, but not in a primary, indexed way—the agent had to discover them via search.
• ›Steps 3, 4, 5 all returned 404s (/pricing, /features, /about), showing the site lacks traditional information architecture. Pricing information exists but is scattered across blog posts and embedded in comparison content, not centralized.
• ›The agent found only $20/month for 100 credits (Hobby plan) and could not confirm free tier, Pro/Premium tiers, team pricing, or commercial licensing terms—core pricing details remain inaccessible or absent from the site's fetch-able surface.
• ›The site's reliance on client-side rendering and SEO-optimized blog content makes it agent-unfriendly for rapid information retrieval; comparison pages had to be discovered via search, not navigation from the homepage.