AX監査レポート

https://wheelhouse.com

August 12, 20265054ms response

51AX 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 0件

8 warnings

合格 17件

Current constraintDiscovery12%

Five readiness layers

Readiness orbit

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

Evidence profile

25 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

1.6 / 13 weighted points

12%

Identity

7.7 / 22 weighted points

35%

Access

27.7 / 31 weighted points

89%

Agent Integration

8.3 / 24 weighted points

34%

User Experience

6 / 10 weighted points

60%

Start here

Top Priorities

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

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

構造化データ

Review

Missing OpenGraph tags: og:title, og:description, og:image

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: <main>, <nav>, <header>, <footer>

コンテンツ品質

Review

Only 79% of images have alt text (15/19)

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

Found 1 JSON-LD structured data block

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

Schema has 0 fields — consider adding more for better AI comprehension

Missing OpenGraph tags: og:title, og:description, og:image
<meta property="og:title" content="..." />
<meta property="og:description" content="..." />
<meta property="og:image" content="..." />

Meta tags complete (title, description, canonical)

JSON-LD schema missing @context or @type

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 found at https://topadvisor.com/sitemap-categories.xml (declared in robots.txt)

Schema.org potentialAction defined — agents know what actions are available

No scheduling link found — agents can't book time with you directly

A form is present but has no obvious email field

CTA buttons have descriptive labels

Missing semantic HTML: <main>, <nav>, <header>, <footer>
Add missing semantic HTML elements: <main>, <nav>, <header>, <footer>

Only 79% of images have alt text (15/19)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

1 social media link 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.

Limited contact information — add phone, email, and address

Slow response (5.1s) — agents may time out
Speed up your time-to-first-byte (caching, a CDN, lighter server work). Agents enforce short timeouts and abandon slow pages.

Lean HTML payload (188KB)

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

No HSTS or CSP headers detected
Add Strict-Transport-Security and Content-Security-Policy headers — they signal a well-maintained, trustworthy origin.

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

Privacy policy link found

Terms of service link found

wheelhouse.com

https://wheelhouse.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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