AX監査レポート

https://getcodeshealth.com

August 12, 20261630ms response

47AX score / 100

不十分

Readiness diagnosis

This site is not ready for AI agents yet. Resolve the critical access and understanding gaps first.

重大 1件

3 warnings

合格 17件

Current constraintIdentity21%

Five readiness layers

Readiness orbit

The shape reveals where an agent journey breaks down, from finding the site to completing useful work.

Evidence profile

21 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

3.2 / 13 weighted points

25%

Identity

Current constraint

4.6 / 22 weighted points

21%

Access

27.3 / 31 weighted points

88%

Agent Integration

7.4 / 24 weighted points

31%

User Experience

4.7 / 10 weighted points

47%

Start here

Top Priorities

Select the highest-impact Findings to include in your Fix Plan.

No JSON-LD structured data found

構造化データ

Review

No llms.txt file found — AI agents cannot discover your services

エージェントインタラクション

Review

Missing semantic HTML: <header>, <footer>, multiple <h1> tags (use only one)

コンテンツ品質

Review

Only 0% of images have alt text (0/78)

コンテンツ品質

Review

Explore the audit

Findings and fixes

構造化データ

Authoritativeness

All Findings

robots.txt allows all major AI crawlers

Page returns HTTP 200

Page content available without JavaScript

No CAPTCHA or bot protection detected

No JSON-LD structured data found
Add JSON-LD structured data to your page <head>:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Business",
  "url": "https://yoursite.com",
  "description": "What your business does"
}
</script>

OpenGraph tags complete (title, description, image)

Meta tags complete (title, description, canonical)

No llms.txt file found — AI agents cannot discover your services
Create a /llms.txt file at your site root:

# Your Business Name

> Brief description of your business.

## Services
- [Service 1](/service-1): Description
- [Service 2](/service-2): Description

See https://llmstxt.org for the full spec.

No MCP server or AI agent endpoint detected — agents cannot interact with your business
Set up a Model Context Protocol (MCP) server so AI agents can interact with your business directly. This allows agents to book appointments, check availability, and more.

With Dashform, you can add MCP support to your website in minutes — no coding required.

Alternatively, create /.well-known/ai-plugin.json for ChatGPT plugin compatibility.

sitemap.xml found and valid

Embedded conversion target declared — agents can act on the funnel's conversion URL
Conversion URL: https://calendly.com/d/cyhn-krf-mc2/codes-health-demo-call?month=2026-05

Booking/scheduling integration detected

Direct contact link found, but no on-page form for agents

Missing semantic HTML: <header>, <footer>, multiple <h1> tags (use only one)
Add missing semantic HTML elements: <header>, <footer>, multiple <h1> tags (use only one)

Only 0% of images have alt text (0/78)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

FAQ-like content found but no FAQ schema

Heading levels skip (e.g., h1 directly to h3)

3 social media links found

No Schema.org sameAs links — AI agents cannot verify your identity across platforms
Add sameAs to your Schema.org JSON-LD:
"sameAs": [
  "https://twitter.com/yourbrand",
  "https://linkedin.com/company/yourbrand"
]

No Google Maps or Business Profile presence detected — AI agents may not verify your location
Claim your Google Business Profile at https://business.google.com and embed a Google Maps link or iframe on your page. AI agents use Google Maps data to verify business locations.

Contact information detected (phone, email)

Response time is 1.6s — acceptable, could be faster

HTML payload is on the heavier side (776KB)

Response is compressed (br)

Caching headers present (Cache-Control/ETag/Last-Modified)

Entry URL redirects before serving — adds latency for agents

No author/publisher in schema — weak authorship signal
Add author and publisher to your Schema.org JSON-LD to establish credibility:
"publisher": { "@type": "Organization", "name": "Your Brand" }

No review/rating schema — agents can't surface your reputation

Partial security headers (HSTS only)

No dateModified/datePublished in schema — agents can't judge freshness
Add dateModified/datePublished to your Schema.org JSON-LD so agents can judge freshness:
"dateModified": "2026-01-15"

No current year found — the site may look stale to agents

HTTPS enabled

SSL certificate valid

No privacy policy link detected

Terms of service link found

getcodeshealth.com

https://getcodeshealth.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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