The agent successfully gathered enough information to explain KORTA's core offering, target audience, pricing model, and key differentiators, assembling the answer primarily from the homepage, pricing page, how-it-works page, and a business-focused landing page. The site is moderately agent-ready but relies heavily on client-side rendering, forcing the agent to work around incomplete HTML snapshots and resort to prior knowledge and educated guesses to fill gaps in pricing detail and competitive positioning.

• ›Step [1] (homepage) provided high-level positioning ('gift card sales plugin for service businesses') and the headline value prop ('0 fixed fees, install in 1 day'), which anchored the final answer but was incomplete due to JavaScript rendering.
• ›Step [2] (pricing page) was explicitly cited but the agent noted it couldn't extract 'detailed pricing tiers or examples' because the site uses client-side rendering — the static HTML snapshot was insufficient, forcing reliance on metadata and prior knowledge for the '5% commission' and 'flat-fee' claims.
• ›Step [5] (how-it-works page) and Step [10] (gift-vouchers-business page) provided context on use cases and workflow, but again limited by HTML-only access; the agent had to infer feature depth from page titles and metadata rather than full content.
• ›Steps [3] and [4] returned 404s (/features, /about), indicating the site's information architecture does not include dedicated feature or company background pages, leaving those questions unresolved.
• ›The agent's final answer includes a 'Things I Couldn't Fully Clarify' section acknowledging unmet information needs (competitor comparisons, company background, advanced features, customer base) — honest but indicative of site navigation friction and incomplete disclosure.
• ›The site was discovered entirely through prior knowledge and direct URL guesses ([1], [2], [5], [6]) plus web search; no internal site navigation was required, suggesting the site's link structure is either sparse or not machine-readable in the HTML snapshot.
• ›Pricing specifics (5%, flat-fee tiers) appear to have been sourced from prior knowledge (57% of fetches) rather than extracted from Step [2], indicating the pricing page itself is not sufficiently structured or accessible for extraction.