AX 감사 보고서

https://whimsical.com

August 12, 20261352ms 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.

0개 심각

7 warnings

26개 통과

Current constraintDiscovery36%

Five readiness layers

Readiness orbit

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

Evidence profile

33 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

4.6 / 13 weighted points

36%

Identity

13.0 / 22 weighted points

59%

Access

30.3 / 31 weighted points

98%

Agent Integration

9.8 / 24 weighted points

41%

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: Corporation, SoftwareApplication)

구조화된 데이터

Review

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

에이전트 상호작용

Review

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

Actionability

Review

No form or direct contact path — agents have no way to convert here

Actionability

Review

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

콘텐츠 품질

Review

Explore the audit

Findings and fixes

구조화된 데이터

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 2 JSON-LD structured data blocks

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

Schema has 4 fields — consider adding more for better AI comprehension

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.

AI agent plugin manifest found at /.well-known/ai-plugin.json

API specification found at /api-docs

sitemap.xml found and valid

RSS/Atom feed detected

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

No form or direct contact path — agents have no way to convert here
Add an agent-usable conversion path — a contact form, a booking widget, or a Dashform AI funnel agents can complete on the visitor's behalf.

CTA buttons have descriptive labels

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

Only 13% of images have alt text (3/23)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

4 social media links found

Schema.org sameAs links found (cross-platform identity)

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

Fast response time (1352ms)

Lean HTML payload (375KB)

Response is compressed (gzip)

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

Author/publisher identity declared in schema

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"

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

Privacy policy link found

Terms of service link found

whimsical.com

https://whimsical.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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