The AI Crawler Readiness Checklist
An AI crawler readiness checklist confirms that AI answer engines, search crawlers, and agent workflows can crawl, parse, cite, and verify your best pages without guessing. Run the checklist across robots.txt, server responses, rendered text, Markdown alternates, source trust, structured data, llms.txt, SKILL.md, agent.json, and public identity records.
For HeadlessDomains.com, the practical finish is a resolvable .agent identity. A crawler can read pages; an agent can also inspect who operates the site, which files are canonical, which endpoints are official, and how to verify the record before acting.
Quick Readiness Table
| Layer | Test | Pass signal | File or record |
|---|---|---|---|
| Crawl access | Fetch robots.txt, sitemap, top pages, docs, and API pages with representative crawler user agents. | Important pages return 200, allow the right crawlers, and expose canonical URLs. | robots.txt, sitemap.xml |
| Text extraction | Load pages with CSS and scripts disabled, then compare extracted text with visible copy. | Headings, answers, product facts, policies, prices, and author details remain in HTML text. | HTML, JSON-LD |
| Markdown surface | Publish clean Markdown for important docs and guides. | Markdown keeps headings, links, tables, and JSON-LD while stripping scripts and navigation noise. | /llms.txt, .md, Accept: text/markdown |
| Citation trust | Make claims traceable. | Each key answer has dates, owner, proof links, canonical source pages, and descriptive anchors. | article pages, source notes |
| Agent files | Give agents task and identity context. | llms.txt maps content, SKILL.md explains repeatable work, and agent.json declares identity and endpoints. | llms.txt, SKILL.md, agent.json |
| Monitoring | Watch logs and answers. | Crawler hits, blocked paths, missing pages, and answer errors are visible before customers report them. | logs, analytics |
Step 1: Confirm Crawler Access
Start with access. Fetch robots.txt, sitemap.xml, the home page, docs, pricing, support, and top articles. Check OAI-SearchBot, GPTBot, Googlebot, PerplexityBot, ClaudeBot, and any crawler your analytics shows. Use robots.txt intentionally: allow discovery crawlers you want in AI answers, block training crawlers when policy calls for that, and confirm CDN, firewall, geo, and bot controls do not silently block allowed requests.
Google Search Central guidance for AI features says pages must be indexed and snippet-eligible for AI Overviews or AI Mode, with no extra technical requirement beyond Search eligibility. OpenAI separately documents OAI-SearchBot, GPTBot, and ChatGPT-User, so treat discovery, training, and user-triggered fetches as separate checks.
Step 2: Make The Page Extractable
AI crawlers work best when answers are available as text, not locked behind client-side rendering or image-only tables. Keep one idea per section, use descriptive headings, and publish tables as HTML. Google link guidance prefers crawlable <a href> anchors and descriptive anchor text, which also helps agents preserve the source trail.
Step 3: Add Markdown And Source Maps
Publish /llms.txt as a curated map to canonical pages, docs, policies, and API references. Add Markdown alternates for pages with heavy navigation or scripts. Cloudflare Markdown for Agents shows one practical pattern: content negotiation with Accept: text/markdown and preservation of JSON-LD when the source page contains structured data.
Step 4: Add Identity And Trust Files
Crawling is not the whole job. A site also has to say who operates its agent-readable surface. Publish agent.json for operator identity, endpoints, auth model, proof links, support route, and public profile. Publish SKILL.md when agents should follow a repeatable workflow; OpenAI Academy describes SKILL.md as a Markdown playbook for task instructions, resources, output rules, and final checks.
Implementation Checklist
- Fetch /robots.txt, /sitemap.xml, /llms.txt, /SKILL.md, /.well-known/agent.json, and top landing pages from a clean network.
- Confirm 200 or intentional 3xx/4xx status, canonical tags, and no accidental noindex on pages meant for citation.
- Review robots.txt for OAI-SearchBot, GPTBot, Googlebot, PerplexityBot, ClaudeBot, and enterprise firewall rules.
- Run a text extractor and compare against the public page: the answer, author, date, product facts, pricing, policies, and support route should be present.
- Convert important pages to Markdown or provide a negotiated Markdown response, then confirm headings, links, tables, and JSON-LD survive.
- Add source notes, author bios, contact routes, organization facts, and last-reviewed dates.
- Publish or update llms.txt, SKILL.md, and agent.json; link them from the .agent identity record.
- Log crawler visits, blocked requests, 404s, and AI referrals, then review every launch.
Example Agent-Readable File Set
{"canonical":"https://example.com/","llms_txt":"https://example.com/llms.txt","skill":"https://example.com/SKILL.md","agent_json":"https://example.com/.well-known/agent.json","owner":"Example Team","verification":"example.agent"}Where Headless Domains Fits
HeadlessDomains.com gives the readiness files a stable identity anchor. Instead of asking a crawler to choose between duplicate brand pages, mirror docs, and old API endpoints, the .agent record can point to the current llms.txt, SKILL.md, agent.json, OpenAPI file, MCP server, payment metadata, and public profile. Run the checklist, then register .agent so agents can resolve one canonical source before contact.
Internal Links
- Agent Identity Stack hub for the full discovery, verification, calling, payment, and governance flow.
- llms.txt vs SKILL.md vs agent.json for the machine-readable publishing kit.
- Markdown for agents for extractable documentation surfaces.
- What is agent.json? for public identity manifests.
FAQ
What is AI crawler readiness?
AI crawler readiness is the condition where important pages, docs, files, and identity records are accessible, parseable, citeable, and verifiable by search crawlers, AI answer engines, and agents.
Does llms.txt guarantee AI citations?
No. Treat llms.txt as a curated map and an agent convenience, not a guaranteed ranking or citation lever. Pair the file with useful pages, clean links, source notes, and monitoring.
Should FAQ schema still be included?
Include FAQ schema when the same questions and answers are visible on the page and useful for downstream parsing, but do not treat the markup as a Google rich-result shortcut. Google deprecated FAQ rich results for most sites as of May 7, 2026.
Where does .agent fit?
A .agent identity gives agents a canonical record to inspect. Link llms.txt, SKILL.md, agent.json, OpenAPI, MCP endpoints, proof links, support routes, and payment metadata from the record.
Which crawlers should I test?
Start with Googlebot, OAI-SearchBot, GPTBot, ChatGPT-User for user-triggered fetches, ClaudeBot, Claude-User, PerplexityBot, and any crawler user agent shown in your server logs.