AI readiness audits, WebMCP implementation, and agent testing

Convert AI visitors into AI customers.

Find the exact places AI agents struggle to discover, understand, or act on your website—then turn those gaps into a prioritized implementation plan.

Get an evidence-backed score and prioritized findings in a few minutes.

View the assessment framework

Free initial scanNo account requiredRead-only assessment

7 dimensions

One clear readiness score

Live-site evidence

Findings tied to scanned pages

Prioritized fixes

A practical path from issue to action

Read-only scan

No installation or site changes

The AI-Ready Score

One score. Seven dimensions. Zero guesswork.

We evaluate your website across seven categories that determine whether AI agents can successfully do business with you — then give you a single, easy-to-understand score from 0 to 100.

The score and category breakdown below are an example for demonstration — not a real scan result.

47out of 100

Example AI-Ready Score

A real scan produces your actual score and a detailed breakdown across every category.

AI Discoverability

Can AI agents find your site and understand what it offers?

Search Readiness

Is your technical SEO sound for AI-powered search?

Content & Entity Clarity

Can AI extract entities, relationships, and meaning?

Agent Readiness

Can agents navigate your site and locate key actions?

WebMCP Readiness

Does your site expose structured agent capabilities?

Actionability

Can agents complete important customer actions?

Agent Safety

Are agent-accessible capabilities properly scoped and safe?

Services

From free scan to full implementation

Start with a free AI-readiness scan, then choose the level of support you need — from a professional audit to full WebMCP integration and ongoing monitoring.

Start with a free scan

Free AI Readiness Scan

Get an instant snapshot of how well AI agents can discover, understand, and interact with your website today.

AI-Ready Score across 7 categories
Discoverability and search readiness check
Structured data and WebMCP detection
No website changes required

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Deep-dive expert analysis

Professional AI Readiness Audit

A comprehensive audit by our team that maps every gap and delivers a prioritized, actionable remediation plan.

Full AI-Ready Score breakdown
Agent journey analysis for your key flows
Prioritized remediation roadmap
Technical implementation guidance

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Make your site agent-native

WebMCP Integration

We implement WebMCP and structured agent capabilities on your website so AI agents can safely discover and use the actions you approve.

WebMCP tool design and implementation
Structured capability documentation
Agent-safe action endpoints
Verification and testing

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Verify agents can complete actions

Agent Journey Testing

We test whether AI agents can successfully complete your most important customer journeys — from finding a product to submitting a lead.

End-to-end agent journey simulation
Key conversion flow verification
Failure diagnosis and reporting
Continuous monitoring options

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Stay ready over time

Continuous Monitoring

Ongoing monitoring that alerts you when your AI readiness changes — so you stay prepared as agents, search, and your website evolve.

Scheduled AI-Ready Score monitoring
Change alerts and drift detection
Monthly readiness reports
Priority support

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What We Test

Everything that determines if AI agents can do business with you

Your quote is built from the same seven scan categories below. Hover or click any topic to see the checks included in that area.

AI Discoverability

Can AI agents and AI-powered search engines find and understand this website?

Checks included

Homepage returned HTML
Robots policy allows general crawling
Page is not marked noindex
Sitemap was discoverable
Internal navigation exposes additional pages

Search Readiness

Is the technical website foundation ready for search and AI-powered discovery?

Checks included

Page title present
Meta description present
Canonical URL present
Heading structure is present
HTTPS is used

Content & Entity Clarity

Can machines extract the website language, entities, and business meaning?

Checks included

Document language is declared
Meaningful body content is available
Semantic landmarks are used
Business schema types are present
Image alternative text coverage

Agent Readiness

Is the interface structured and labeled in a way that favors agent navigation?

Checks included

Semantic navigation structure is present
Internal link labels are descriptive
Form fields have labels or names
Action-oriented controls are discoverable

WebMCP Readiness

Does the site expose detectable structured capabilities for AI agents?

Checks included

WebMCP implementation signals
WebMCP tool metadata is descriptive
Runtime execution verification

Actionability

Are important customer actions clearly exposed without executing state-changing actions?

Checks included

Customer action opportunities are exposed
Detected forms declare methods and destinations
Contact paths are machine-readable
Action forms have accessible fields

Agent Safety

Which measurable security and safety signals are present around agent-accessible actions?

Checks included

HTTPS transport signal
Security response headers
Forms use HTTPS destinations

Agent Journeys

From question to completed customer action

When a customer asks an AI assistant to do business with you, the agent needs to navigate from intent to action. Here's how that works on an agent-ready website.

agent-session · example.com

Customer asks an AI assistant

“Find a product, check availability, and request a quote from this company.”

Agent discovers structured capabilities

GET /.well-known/agent-manifest → 200 OK

Agent reads WebMCP tools: search_products, check_availability, request_quote

Agent completes customer actions

View product details

See stock and options

Submit a quote request

Book a demo slot

Customer actions we test

Find a product

View product details

Check availability

See stock and options

Request a quote

Submit a quote request

Schedule a demo

Book a demo slot

Find a location

Get store details

Submit a lead

Complete a lead form

Compare services

Compare plans or options

WebMCP

Give AI agents a structured way to do business with you

WebMCP gives AI agents a structured way to understand what your website can do and safely use the capabilities you choose to expose.

Plain business language

Instead of forcing AI agents to guess what your website does, WebMCP lets you publish a clear list of capabilities — like “search products,” “check availability,” or “request a quote” — that agents can discover and use.

You control what agents can do

You choose exactly which capabilities to expose. WebMCP doesn't give agents open access — it lets you publish specific, approved actions that agents can safely call.

Built on open standards

WebMCP follows the Model Context Protocol pattern adapted for the web, making it compatible with a growing ecosystem of AI agents and tools.

Learn more about WebMCP integration

/.well-known/agent-manifest.json

{
  "name": "Example Company",
  "capabilities": [
    {
      "name": "search_products",
      "description": "Search the product catalog",
      "input": { "query": "string" }
    },
    {
      "name": "check_availability",
      "description": "Check stock for a product",
      "input": { "product_id": "string" }
    },
    {
      "name": "request_quote",
      "description": "Submit a quote request",
      "input": {
        "product_id": "string",
        "quantity": "number",
        "contact": "object"
      }
    }
  ]
}

WebMCP makes your site easier for AI agents to use — it does not guarantee AI rankings, traffic, or placement in any specific AI system.

Find out if your website is ready for AI.

Enter your website URL and get a free AI-readiness scan. No changes, no code installation, no account required.

Get an evidence-backed score and prioritized findings in a few minutes.