The agent assembled a comprehensive overview of Verizon's business model, services, pricing, and competitive positioning, but had to work around a largely non-functional website. Direct fetches of verizon.com returned truncated HTML with minimal useful content, forcing the agent to rely on prior knowledge (30%) and external search results (70%) to answer the task. The website itself proved difficult to navigate programmatically, with multiple 404s and pages that redirected to the homepage rather than displaying product details.

• ›Steps [1], [4], [8] (direct Verizon fetches) returned only meta tags and truncated HTML snippets, providing no actionable pricing, plan details, or service descriptions. The agent could not extract plan names, pricing tiers, or feature comparisons directly from Verizon's own pages.
• ›The agent relied entirely on external sources ([13], [14], [15], [18], [19]) to populate concrete pricing ($35–90/month), plan names (Simplicity Plan, Unlimited Welcome), service tier details, and competitive comparisons. These search results linked back to Verizon but were authored by third-party review and aggregator sites.
• ›Steps [6], [10], [11], [17] attempted to fetch specific plan pages (/wireless/plans/pay-as-you-go, /wireless/plans/unlimited, /home/myplan/plans, /home/internet/5g-home-internet) but returned either the homepage or 404 errors, indicating either URL guessing failures or dynamic-content-dependent pages that don't serve static HTML to crawlers.
• ›The agent had to infer Verizon's service categories (wireless, Fios, 5G Home Internet, LTE Home Internet, TV, business) from meta tag keywords and navigation hints rather than reading actual service descriptions, then backfilled with external research.
• ›Site agent-readiness is low: no structured data (JSON-LD, microdata) was visible in fetches, pricing required external aggregators, and product hierarchy was not crawlable without JavaScript execution or direct URL knowledge.