Agent readiness checker
An agent-ready website does more than rank. It gives AI crawlers and task-oriented agents the structure they need to discover key pages, understand what the product does, and trust the next action.
AI agents need the same fundamentals as answer engines: crawlable pages, clear canonicals, useful metadata, and public content that explains what the product is, who it serves, and what action to take next.
If a site only has a homepage and pricing page, an agent has little evidence for comparisons, implementation questions, trust checks, or workflow-specific recommendations. Agent readiness usually improves when those pages exist and interlink clearly.
The audit highlights which technical signals are weak, which buyer-intent pages are missing, and what to publish next so your site becomes easier for AI systems to crawl, summarize, and recommend.
FAQ
It means AI agents can access the important pages, understand the product and category, and find enough structured evidence to recommend, compare, or act on the site reliably.
No. An llms.txt file can help, but the larger issue is whether the site already exposes clear metadata, schema, pricing, docs, FAQ answers, and task-specific pages that agents can use.
Usually the first wins come from healthy crawl signals, stronger category positioning, and publishing FAQ, comparison, use-case, and proof pages that reduce ambiguity for AI systems.