Score Index › Zapier
This site
92/100
Average across all scans
41/100
AI Search Ready threshold
90/100
Gap to close
None ✓
Score breakdown
Agent Permissions
6/7 checks passed
Content Discoverability
5/5 checks passed
Structured Data
4/5 checks passed
Pricing Transparency
4/4 checks passed
Agent Infrastructure
6/11 checks passed
Trust & Identity
5/5 checks passed
Issues found
No Content-Signal header
No Content-Signal header. AI systems have to guess whether they're allowed to use your content for training, search, or as agent input. Declaring your policy proactively builds trust with AI platforms.
Fix: Add a Content-Signal HTTP response header to tell AI systems your content permissions: Content-Signal: ai-train=yes, search=yes, ai-input=yes In Next.js (next.config.js): headers: async () => [{ source: '/(.*)', headers: [{ key: 'Content-Signal', value: 'ai-train=yes, search=yes, ai-input=yes' }] }] This header is part of the emerging Content Signals standard (contentsignals.org) adopted by Cloudflare and others. It declares explicitly what AI can do with your content.
OKF knowledge bundle (/okf/index.md)
No OKF bundle. Google's Open Knowledge Format (June 2026) lets AI agents navigate your business knowledge as a graph of linked markdown files. Less than 0.1% of sites have this.
Fix: Create an OKF bundle starting with /okf/index.md. Use Faro's OKF Generator to build a complete bundle automatically.
/agents.json (agent capability manifest)
No /agents.json. This file tells AI agents what actions they can take, what APIs you expose, and how to interact with your business.
Fix: Create /agents.json at your root: { "name": "Your Company", "description": "What you do", "url": "https://yourdomain.com", "capabilities": ["Browse products", "Check pricing", "Start trial"], "api": { "docs": "https://yourdomain.com/docs" }, "pricing_url": "https://yourdomain.com/pricing", "auth": ["api_key"] }
No A2A Agent Card
No A2A Agent Card at /.well-known/agent.json. Google's Agent-to-Agent (A2A) protocol enables AI agents to communicate with and delegate tasks to each other , including your product.
Fix: Publish an A2A Agent Card at /.well-known/agent.json: { "name": "Your Company Agent", "description": "What this agent can do", "version": "1.0", "url": "https://yourdomain.com/agent", "capabilities": { "streaming": false, "pushNotifications": false }, "skills": [{ "id": "your-main-skill", "name": "Main capability", "description": "..." }] }
No OAuth discovery
No OAuth discovery endpoint. AI agents that need to act on behalf of users can't automatically discover your auth flow.
Fix: If your product supports OAuth, publish a discovery document at /.well-known/openid-configuration following the OpenID Connect Discovery spec. This enables AI agents to authenticate users automatically without hardcoded auth URLs.
What's working
robots.txt exists and accessible
GPTBot (ChatGPT) allowed
ClaudeBot (Anthropic) allowed
PerplexityBot allowed
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What the Faro score measures
The Faro AI readiness score tells you how well an AI agent — acting on behalf of a buyer — can navigate, understand, and evaluate a business. A score of 80+ means the site is genuinely AI-navigable. Below 40 means key signals are missing and the site risks being skipped during agent evaluations.
The scan checks six categories: agent permissions (robots.txt, GPTBot, ClaudeBot), discoverability (sitemap, llms.txt, canonical), structured data (JSON-LD, schema markup), pricing transparency, agent infrastructure (API docs, agents.json), and content readability. Each category contributes to the total score of 100.
The average score across all sites Faro has scanned is 41/100. Even well-resourced companies frequently block AI crawlers, omit structured data, or serve pricing in formats that agents cannot parse. These are fixable gaps — and the Faro scan tells you exactly where to start.