The agent assembled a coherent explanation of Applyr's purpose, target audience, and features, but had to work around a largely inaccessible main website. The homepage and most top-level pages (pricing, about, tools) returned only HTML scaffolding with no rendered content, forcing the agent to rely on the free resume builder subdomain, search results, and prior knowledge to answer the task. The agent successfully explained what Applyr does and who it's for, but the pricing and differentiation answers are incomplete or based on contextual inference rather than explicit site content.

• ›The main applyr.co domain returned 200s but with no usable text content—only Next.js boilerplate HTML with no populated metadata or content in the fetched responses. Steps [1], [24] show the site is client-side rendered with no pre-rendered content for agents.
• ›The free resume builder subdomain (resume.applyr.co/, step [21]) was the only site resource that returned structured, fetchable content—meta tags included a clear value proposition: 'Create professional, ATS-friendly resumes in minutes with Applyr's free resume builder.'
• ›Web search results (steps [6], [9], [11], [15], [17], [19], [22], [25], [27]) contributed 57% of fetches and supplied most concrete claims (Pro plan pricing $14.50/month at 50% off, Canadian job market focus, unlimited resume versions, AI matching against job descriptions). These were not from applyr.co's own pages but from search snippets and external references.
• ›The agent cited applyr.co's own blog comparison article (step [13], referenced in final sources) but the response returned no usable text—the agent inferred its existence and relevance from the URL alone, not from its content.
• ›Critical information gaps remain: full Pro plan price (only 'discounted' rate visible), feature table comparing free vs. paid tiers, and user reviews were not found. The agent explicitly flagged these as 'Couldn't Find' items, showing awareness of incomplete coverage.