Be read by answer engines9 problems

AI readiness

Answer-engine problems that stop AI assistants (ChatGPT, Perplexity, Claude, Google AI Overviews) from reading, trusting, and citing your content — missing structured data, client-only rendering, blocked AI crawlers, and absent agent-discovery signals.

Caught by the aeo audit — 9 checks covering content accessibility, AI-bot access, and agent discovery.

Missing structured data (JSON-LD)warningAnswer engines extract facts from schema.org JSON-LD. Without it they guess from prose. Add JSON-LD so AI and Google read your page correctly.
Invalid structured data (JSON-LD)warningMalformed JSON-LD is silently skipped by search and answer engines. Fix the syntax and schema.org @context so your structured data actually counts.
Missing <main> landmarkinfoWithout a <main> landmark, assistants and screen readers can’t find your primary content. Wrap the main content in a single semantic <main>.
Missing author and date signalsinfoAnswer engines weigh authorship and freshness when choosing sources. Add author and published-date signals so your content is trusted and cited.
Content only renders with JavaScriptwarningCrawlers and AI agents that don’t run JS see an empty page. Server-render or prerender your content so it’s in the HTML, not built client-side.
Missing llms.txtinfollms.txt hands AI assistants a clean markdown summary of your site so they read it accurately. Add one at /llms.txt to guide LLMs to your best pages.
No markdown content negotiationinfoServing a markdown version to agents that ask for it lets them read your content without parsing the DOM. Add Accept: text/markdown negotiation.
robots.txt blocks AI crawlerswarningIf robots.txt disallows GPTBot, ClaudeBot or PerplexityBot, assistants can’t read or cite you. Allow the AI crawlers you want to appear in answers.
No agent interface (MCP) advertisedinfoSites that want agents to take actions can advertise an MCP server so assistants discover their tools. Add a /.well-known/mcp.json for agent discovery.