# AgentFriendlyRank

> AI agents are already visiting your website. We audit whether they can actually read, navigate and buy from it, then fix what they can't. Operated by Socio360.

Every score comes from a published rubric (v1.0.1, 27 checks across four pillars, 100 points). If you need one page to understand this site, read the methodology.

## Start here

- [AgentFriendlyRank](https://agentfriendlyrank.com/): Agent readiness audits and fixes. What AI agents can and cannot do on your website, scored against a published 100-point rubric.
- [Scan your website](https://agentfriendlyrank.com/scan): Free instant agent readiness scan: six pages crawled politely, scored live against the published rubric, evidence included. No email required.
- [Methodology — the full rubric](https://agentfriendlyrank.com/methodology): The complete published scoring rubric: 27 checks across four pillars, point weights, thresholds, grading bands and version changelog. The canonical reference for how any score is produced.
- [Pricing](https://agentfriendlyrank.com/pricing): Audits from $2,000; implementation typically $4,000–$25,000, scoped by architecture rather than page count. Audit fee credited against implementation within 60 days.
- [Request a free audit](https://agentfriendlyrank.com/audit-request): Submit a website address and receive a full audit report by email within one business day.

## Services

- [Services overview](https://agentfriendlyrank.com/services): The three engagements — audit, implementation, monitoring — and how they follow one another.
- [Agent readiness audit](https://agentfriendlyrank.com/services/agent-readiness-audit): A manual audit against the published 100-point rubric: what agents can fetch, parse, and act on, with captured evidence for every finding and a ranked fix list.
- [Implementation](https://agentfriendlyrank.com/services/implementation): Done-for-you remediation of agent readiness findings, from schema to rendering to machine endpoints, delivered as reviewable pull requests or CMS changes.
- [Monitoring](https://agentfriendlyrank.com/services/monitoring): Ongoing re-scanning against the evolving agent readiness rubric, with alerts when a deploy, a CDN setting, or a new standard breaks something.

## Proof

- [Agent Readiness Leaderboard](https://agentfriendlyrank.com/leaderboard): Public websites ranked by Agent Readiness Score. Category views at /leaderboard/{ecommerce|saas|content|other}; every row links to a full evidence report.
- [Compare two sites](https://agentfriendlyrank.com/compare): Side-by-side agent readiness comparison of any two scanned sites: /compare/{a}/vs/{b} compares totals, pillars and all 27 checks.
- [API and MCP server](https://agentfriendlyrank.com/docs): Read-only JSON API (OpenAPI 3.1 at /api/v1/openapi.json) and a hosted MCP server at /mcp: scores, full reports with evidence, comparisons, leaderboard and the rubric. No key required.

## Blog

- [Blog](https://agentfriendlyrank.com/blog): Articles on agent readiness: one rubric check at a time, platform guides, and what the scan data shows. Category views at /blog/category/{id}.
- [Blog: Foundations](https://agentfriendlyrank.com/blog/category/foundations): What agent readiness is, how it differs from SEO, and how to read a score.
- [Blog: Discovery & access](https://agentfriendlyrank.com/blog/category/discovery): Pillar A: robots.txt, AI crawlers, edge blocking, sitemaps, llms.txt and server-rendered parity.
- [Writing an llms.txt that earns its place](https://agentfriendlyrank.com/blog/write-llms-txt-earns-its-place): The llms.txt convention, why A4 gives three points for three described links and one for a bare list, and a complete example file for a small SaaS company.
- [What Google-Extended does and does not control](https://agentfriendlyrank.com/blog/google-extended-controls-does): Google-Extended is a robots.txt control token, not a crawler. What it switches off, what it leaves alone, three common misconfigurations, and what A2 records.
- [A perfect robots.txt, still blocking agents](https://agentfriendlyrank.com/blog/robots-txt-perfect-still-blocking-agents): A vendor-neutral tour of the edge layer, bot rulesets, bot scores, rate limits, JavaScript challenges and slow origins, and how each shows up in the A5 probes.
- [ClaudeBot and Claude-User are different things](https://agentfriendlyrank.com/blog/claudebot-claude-user-different-things): Anthropic's crawler and its user-triggered fetcher share a prefix and get blocked together by accident. The robots.txt for each intent, and its A2 score.
- [Blocking GPTBot but not OAI-SearchBot](https://agentfriendlyrank.com/blog/blocking-gptbot-but-oai-searchbot): OpenAI documents three tokens so training, indexing and user fetches are decided separately. The robots.txt that opts out of training only, and its A2 score.
- [The six AI crawlers, a decision matrix](https://agentfriendlyrank.com/blog/six-ai-crawlers-each): Which of the six A2 tokens a shop, a SaaS product, a publisher and a services firm should allow, what each combination scores, and what each block gives up.
- [robots.txt for the agent era, a rewrite](https://agentfriendlyrank.com/blog/robots-txt-agent-era): A line-by-line rewrite of a typical legacy robots.txt. What checks A1, A2 and A3 read from it, the REP rules a parser applies, and a finished file to adapt.
- [Agent readiness is not SEO or GEO](https://agentfriendlyrank.com/blog/agent-readiness-is-not-seo): Where SEO, generative engine optimisation and agent readiness overlap, where they diverge, and why ranking and being usable for a task are different problems.
- [Cloudflare blocks AI crawlers by default](https://agentfriendlyrank.com/blog/cloudflare-blocks-ai-crawlers-by-default): Cloudflare's default bot rules turn GPTBot, ClaudeBot and PerplexityBot away before robots.txt is read. How to check in thirty seconds, and what to change.
- [A field guide to AI user agents](https://agentfriendlyrank.com/blog/field-guide-to-ai-user-agents): The six crawler tokens check A2 scores, what each one is for, training, search indexing or a fetch on a user's behalf, and what blocking each one costs.
- [Reading your scan report](https://agentfriendlyrank.com/blog/reading-your-scan-report): What each section of an AgentFriendlyRank report means, what the evidence blocks show, how fixes are ranked, and how to decide what to do first.
- [The two fetches, raw HTML vs rendered DOM](https://agentfriendlyrank.com/blog/the-two-fetches): Most serious agent readiness findings live between the raw HTML and the rendered DOM. How check A7 measures the gap, and how to measure it yourself with curl.
- [The three tiers of fixes](https://agentfriendlyrank.com/blog/three-tiers-of-fixes): What the rubric's Low, Medium and High effort ratings mean in practice, which of the 27 checks fall into each tier, and what the work costs.
- [What agent readiness means](https://agentfriendlyrank.com/blog/what-agent-readiness-means): The four questions the rubric asks of a site, find, understand, act and trust, and why passing every SEO test says nothing about any of them.
- [Why most sites score zero on C4](https://agentfriendlyrank.com/blog/why-most-sites-score-zero-on-machine-endpoints): Check C4 asks for an agents.json, an MCP manifest, API docs or an OpenAPI spec. Almost nobody publishes one, which makes it the cheapest differentiation.
- [Why we publish the whole rubric](https://agentfriendlyrank.com/blog/why-we-publish-the-rubric): The case for a public, versioned scoring standard over proprietary AI visibility scores nobody can check, and why we never rewrite a historical score.

## Company

- [About](https://agentfriendlyrank.com/about): Who operates AgentFriendlyRank, how we work, and the legal entity behind it.
- [Our crawler](https://agentfriendlyrank.com/bot): AgentFriendlyRankBot: user agent string, hard crawl limits, what it fetches, and how to block it via robots.txt.
- [Contact](https://agentfriendlyrank.com/contact): Email addresses, registered postal address, data protection officer and security contact.
- [Book a call](https://agentfriendlyrank.com/book): Book a 30-minute call. Slots to suit your time zone.
- [Search](https://agentfriendlyrank.com/search): Site search. Accepts a `q` query parameter and renders results server-side, so URLs can be constructed directly: /search?q=rendering
- [Claim your site](https://agentfriendlyrank.com/claim): Site owners: verify an email address on your domain, then hide or re-publish your report and leaderboard entry yourself.

## Legal

- [Privacy notice](https://agentfriendlyrank.com/privacy): Data handling under Singapore PDPA, India's DPDP Act 2023 and US state privacy laws.
- [Terms of service](https://agentfriendlyrank.com/terms): Terms governing audits, implementation and monitoring.
- [Data processing](https://agentfriendlyrank.com/dpa): What we process on a client's behalf during engagements, and what a data processing agreement covers.
- [Unsubscribe](https://agentfriendlyrank.com/unsubscribe): Opt out of all email permanently, and have any unpublished scan of your domain deleted.

## Notes for agents

- Site search accepts a GET query parameter: https://agentfriendlyrank.com/search?q=YOUR_TERM
- Our crawler is documented at https://agentfriendlyrank.com/bot, including how to block it.
- A full-text version of this file is at https://agentfriendlyrank.com/llms-full.txt.
- Machine-readable metadata: https://agentfriendlyrank.com/agents.json
- Read-only JSON API (OpenAPI 3.1): https://agentfriendlyrank.com/api/v1/openapi.json — e.g. https://agentfriendlyrank.com/api/v1/sites/{domain}
- MCP server (Streamable HTTP, no auth): https://agentfriendlyrank.com/mcp — tools: get_site_report, get_leaderboard, compare_sites, get_scan_status, get_rubric
- Contact: hello@agentfriendlyrank.com