AX監査レポート

https://piinpoint.com

August 12, 20261935ms response

64AX score / 100

Needs work

Readiness diagnosis

This site needs work before agents can use it reliably. Address the priority findings to improve readiness.

重大 1件

5 warnings

合格 23件

Current constraintDiscovery23%

Five readiness layers

Readiness orbit

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

Evidence profile

29 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

3.0 / 13 weighted points

23%

Identity

17.2 / 22 weighted points

78%

Access

24.7 / 31 weighted points

80%

Agent Integration

12.7 / 24 weighted points

53%

User Experience

6.7 / 10 weighted points

67%

Start here

Top Priorities

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

CAPTCHA or bot protection detected

クロール可能性

Review

JSON-LD found but no business schema (found: SoftwareApplication)

構造化データ

Review

No Schema.org potentialAction — agents can't tell what they can do on your site

Actionability

Review

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

コンテンツ品質

Review

Only 76% of images have alt text (57/75)

コンテンツ品質

Review

Explore the audit

Findings and fixes

クロール可能性

Performance

セキュリティと信頼

All Findings

robots.txt allows all major AI crawlers

Page returns HTTP 200

Page content available without JavaScript

CAPTCHA or bot protection detected
Consider allowing AI crawlers to bypass bot protection. Options:
1. Whitelist known AI crawler IPs (OpenAI, Anthropic, Google publish their ranges)
2. Use robots.txt to signal crawler access
3. Configure your WAF/CDN to exempt verified bot traffic

Found 1 JSON-LD structured data block

JSON-LD found but no business schema (found: SoftwareApplication)
Add a business-specific schema type (LocalBusiness, Organization, Product, Service) to help AI agents understand what your business offers.

OpenGraph tags complete (title, description, image)

Missing meta tags: canonical link

llms.txt found with correct format

llms-full.txt also found (two-file mode)

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

No Schema.org potentialAction — agents can't tell what they can do on your site
Add a potentialAction to your Schema.org JSON-LD so agents can act, e.g.:
"potentialAction": {
  "@type": "ReserveAction",
  "target": "https://yoursite.com/book"
}

Booking/scheduling integration detected

Priced offers found, but no clear checkout path for agents

Contact/lead form with an email field is present

Live chat / conversational widget detected

CTA buttons have descriptive labels

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

Only 76% of images have alt text (57/75)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

2 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 1.9s — acceptable, could be faster

Lean HTML payload (131KB)

Response is compressed (gzip)

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

Entry URL redirects before serving — adds latency for agents

Author/publisher identity declared in schema

Review/rating schema found — agents can cite social proof

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"

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

Privacy policy link found

No terms of service link detected

piinpoint.com

https://piinpoint.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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