{"slug":"agent-readiness-audit","id":"agent-readiness-audit","type":"pricing","title":"Agent Readiness Audit","description":"Draft service package for making a website, documentation set, or knowledge base easier for AI agents to discover, parse, cite, and monitor.","last_updated":"2026-04-24","last_verified":null,"verification_status":"unverified","markdown_url":"/content/pricing/agent-readiness-audit.md","html_url":"/pricing/agent-readiness-audit","api_url":"/api/v1/pricing/agent-readiness-audit.json","content_hash":"d4049087dd1ed8d859d0a6e6fce6a43396ae19991cbe7c51354852c75a44fa1c","sha256":"d4049087dd1ed8d859d0a6e6fce6a43396ae19991cbe7c51354852c75a44fa1c","tags":["pricing","audit","agent-ready","llms.txt","service"],"relationships":{"links":[],"related":[{"id":"change-alerts","title":"Change Alerts","type":"pricing","html_url":"/pricing/change-alerts","markdown_url":"/content/pricing/change-alerts.md","shared_tags":["pricing"],"score":3},{"id":"commercial-data-license","title":"Commercial Data License","type":"pricing","html_url":"/pricing/commercial-license","markdown_url":"/content/pricing/commercial-license.md","shared_tags":["pricing"],"score":3},{"id":"pro-data","title":"Pro Data","type":"pricing","html_url":"/pricing/pro-data","markdown_url":"/content/pricing/pro-data.md","shared_tags":["pricing"],"score":3},{"id":"pro-data-sample","title":"Pro Data Sample","type":"pricing","html_url":"/pricing/pro-data-sample","markdown_url":"/content/pricing/pro-data-sample.md","shared_tags":["pricing"],"score":3},{"id":"public-roadmap","title":"Public Roadmap","type":"pricing","html_url":"/pricing/roadmap","markdown_url":"/content/pricing/roadmap.md","shared_tags":["pricing"],"score":3},{"id":"sponsor-policy","title":"Sponsor Policy","type":"pricing","html_url":"/pricing/sponsor-policy","markdown_url":"/content/pricing/sponsor-policy.md","shared_tags":["pricing"],"score":3}],"explicit":{}},"metadata":{"title":"Agent Readiness Audit","type":"pricing","id":"agent-readiness-audit","description":"Draft service package for making a website, documentation set, or knowledge base easier for AI agents to discover, parse, cite, and monitor.","last_updated":"2026-04-24","status":"draft","price_target":{"small_site":"$500-$2,500","company_docs":"$5,000+"},"tags":["pricing","audit","agent-ready","llms.txt","service"]},"content_text":"# Agent Readiness Audit\n\nThe Agent Readiness Audit is a service for teams that want their site, docs, or knowledge base to work better for AI agents.\n\nThe goal is practical: make content easy to discover, fetch, parse, cite, verify, and monitor.\n\n## Included Review\n\n- `llms.txt` availability and usefulness.\n- Raw markdown or text access.\n- Sitemap coverage.\n- Robots policy for AI agents.\n- Structured JSON availability.\n- Metadata consistency.\n- Source and freshness fields.\n- Canonical ids and stable URLs.\n- Per-page content hashes.\n- Change feed or changed-since API.\n- Internal link quality.\n- Mobile and JavaScript dependency risks.\n- Whether important content is blocked behind rendering or scripts.\n\n## Deliverables\n\n- Audit report in markdown.\n- Agent access score.\n- Priority fix list.\n- Suggested `llms.txt`.\n- Suggested metadata schema.\n- Suggested JSON endpoint plan.\n- Sitemap and robots recommendations.\n- Example agent fetch workflow.\n- Optional implementation patch or handoff checklist.\n\n## Scoring\n\nDraft score categories:\n\n| Category | Weight |\n|----------|--------|\n| Discovery | 20 |\n| Raw content access | 20 |\n| Structured metadata | 20 |\n| Freshness and verification | 15 |\n| Change tracking | 10 |\n| Citation and source quality | 10 |\n| Performance and accessibility | 5 |\n\n## Package Options\n\n### Small Site Audit\n\nFor a marketing site, docs microsite, or small content library.\n\n- 10 to 50 pages reviewed.\n- One markdown report.\n- Suggested `llms.txt`.\n- Priority fix list.\n\n### Documentation Audit\n\nFor product docs, developer docs, or knowledge bases.\n\n- 50 to 500 pages sampled.\n- Content structure review.\n- Metadata and API recommendations.\n- Agent workflow tests.\n- Implementation plan.\n\n### Implementation Package\n\nFor teams that want the fixes applied.\n\n- Add or improve `llms.txt`.\n- Add markdown or text export.\n- Add JSON index.\n- Add source/freshness fields.\n- Add sitemap and robots updates.\n- Add basic changed-since feed where practical.\n\n## Good Fit\n\n- AI product companies.\n- Developer tool companies.\n- SaaS docs teams.\n- Agencies managing client sites.\n- Research groups.\n- Companies whose docs are often read by AI agents.\n\n## Poor Fit\n\n- Sites that do not want AI access.\n- Sites that cannot expose useful content outside client-side rendering.\n- Teams that want hidden paid influence over recommendations.\n- Projects that need legal compliance review more than technical implementation.\n\n## First Implementation Step\n\nCreate a short intake form or contact path with:\n\n- Site URL.\n- Content type.\n- Number of pages.\n- Whether raw markdown exists.\n- Whether an API exists.\n- Whether AI crawling is allowed.\n- Main agent use case.","content_length":3099,"generated_at":"2026-04-24"}