Score Index Heykadima

95/100

AI Readiness Score · Other

Heykadima

heykadima.com
Grade AScanned 24 July 2026✓ AI Search Ready

This site

95/100

Average across all scans

41/100

AI Search Ready threshold

90/100

Gap to close

None ✓

Score breakdown

Agent Permissions

6/7 checks passed

28/30

Content Discoverability

5/5 checks passed

25/25

Structured Data

5/5 checks passed

25/25

Pricing Transparency

4/4 checks passed

18/18

Agent Infrastructure

6/11 checks passed

25/30

Trust & Identity

5/5 checks passed

18/18

Issues found

No Markdown content negotiation

Server doesn't return Markdown when requested with Accept: text/markdown. AI agents consume HTML which wastes context and introduces parsing errors. Markdown responses are the emerging standard for agent-optimised content delivery.

Fix: Enable Markdown content negotiation so AI agents can request clean, token-efficient versions of your pages. Quickest path: enable Cloudflare's 'Markdown for Agents' feature (Pro plan+) which auto-converts HTML to Markdown at the CDN edge when an AI agent requests it. No origin changes required. Alternatively, in Next.js you can detect the Accept header and serve .md files: if (req.headers.accept?.includes('text/markdown')) { res.setHeader('Content-Type', 'text/markdown'); } This is one of the highest-leverage changes you can make for AI agent accessibility.

No MCP Server

No MCP Server Card or live endpoint detected. Model Context Protocol (MCP) is the dominant standard for AI agent integrations, adopted by Claude, Cursor, VS Code, GitHub Copilot, Gemini CLI, and 30+ others. Without it, agents can't take actions in your product.

Fix: Publish a machine-readable MCP Server Card at /.well-known/mcp.json: { "mcpVersion": "1.0", "name": "Your Company MCP Server", "description": "What AI agents can do with your product", "endpoint": "https://yourdomain.com/mcp", "capabilities": ["tools", "resources"], "auth": { "type": "bearer" } } If you don't have an MCP server yet, consider building one , it lets AI agents like Claude take actions in your product directly (create accounts, run searches, fetch data). This is the fastest-growing AI integration standard right now.

No Agent Skills file

No Agent Skills file. Agent Skills is an open standard (from Anthropic, now adopted by 30+ agent tools) for packaging specialized knowledge and workflows that AI agents load on demand. Sites that publish skills make it dramatically easier for agents to work with their platform.

Fix: Create a skills folder with a SKILL.md file at /skills/SKILL.md: --- name: your-product-name description: What AI agents can do with your product. Used for skill discovery. --- # [Your Product] Agent Skill ## Overview This skill teaches AI agents how to work with [Your Product]. ## Key workflows 1. How to authenticate 2. How to perform the main action 3. Common troubleshooting For the full spec see agentskills.io

API or developer documentation

No /docs or /api page found. Autonomous purchasing agents need to know how to integrate with you.

Fix: Create a publicly accessible developer documentation page at /docs. At minimum: what your API does, authentication method, key endpoints with examples.

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.

Scan your site →What is AI readiness?