AX 감사 보고서

https://stand.chat

August 29, 2026103ms response

62AX 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

6 warnings

26개 통과

Global rank

#1489/5305

Community rank

#142/424

Current constraintDiscovery17%

Five readiness layers

Readiness orbit

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

Evidence profile

32 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

DiscoveryCurrent constraint

2.2 / 13 weighted points

17%

Identity

12.6 / 22 weighted points

57%

Access

29.7 / 31 weighted points

96%

Agent Integration

7.8 / 24 weighted points

33%

User Experience

10 / 10 weighted points

100%

Start here

Top Priorities

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

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

구조화된 데이터

Review

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

Actionability

Review

Response is not compressed (no gzip/brotli)

Performance

Review

Benchmark context

Related AX Scores

Leading scores across the public AX Audit corpus.

Explore benchmarks

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: 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

OpenGraph tags complete (title, description, image)

Meta tags complete (title, description, canonical)

JSON-LD schema missing @context or @type

llms.txt found but format is incorrect

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.

API documentation links found

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"
}

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

Priced offers found, but no clear checkout path for agents

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

Live chat / conversational widget detected

CTA buttons have descriptive labels

HTML semantic structure is well-formed

100% of images have alt text (5/5)

Sufficient text content available for AI extraction

FAQ schema detected

No 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)

Fast response time (103ms)

Lean HTML payload (77KB)

Response is not compressed (no gzip/brotli)
Enable gzip or Brotli compression on your server/CDN to cut transfer size for agents and crawlers.

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

Author/publisher identity declared in schema

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

Security headers present (HSTS + Content-Security-Policy)

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

Top Priorities

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

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

구조화된 데이터

Review

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

Actionability

Review

Response is not compressed (no gzip/brotli)

Performance

Review

All Findings

https://stand.chat

Readiness orbit

Top Priorities

Related AX Scores

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

https://stand.chat

Readiness orbit

Top Priorities

Related AX Scores

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.