AX 감사 보고서

https://parsagon.io

August 12, 20261564ms response

39AX score / 100

미흡

Readiness diagnosis

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

1개 심각

10 warnings

11개 통과

Current constraintDiscovery0%

Five readiness layers

Readiness orbit

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

Evidence profile

22 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

0 / 13 weighted points

Identity

2.8 / 22 weighted points

13%

Access

23.9 / 31 weighted points

77%

Agent Integration

7.8 / 24 weighted points

32%

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

구조화된 데이터

Review

No robots.txt file found

크롤 가능성

Review

Very little HTML content found — page may depend on JavaScript rendering

크롤 가능성

Review

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

구조화된 데이터

Review

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

Actionability

Review

Explore the audit

Findings and fixes

구조화된 데이터

Authoritativeness

All Findings

No robots.txt file found
Create a robots.txt file at your site root. For AI-friendly access:

User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: Google-Extended
Allow: /

Page returns HTTP 200

Very little HTML content found — page may depend on JavaScript rendering
Body text: 46 chars, Scripts: 3, Noscript: present
Ensure critical content is rendered in the initial HTML response (server-side rendering). AI crawlers typically do not execute JavaScript. Consider using SSR, SSG, or pre-rendering.

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>

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

Missing meta tags: canonical link

llms.txt found but format is incorrect

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

MCP configuration found at /.well-known/mcp.json, /mcp.json, /.mcp.json, /.well-known/mcp

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

API specification found at /openapi.json

Sitemap found but may not be valid XML

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

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.

Missing semantic HTML: <main>, <nav>, <header>, <footer>, <h1>
Add missing semantic HTML elements: <main>, <nav>, <header>, <footer>, <h1>

No images found on page

Very little extractable text content

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.

No contact information found on page

Response time is 1.6s — acceptable, could be faster

Lean HTML payload (2KB)

Response is compressed (gzip)

No caching headers — repeat agent fetches can't be revalidated

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

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"

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

HTTPS enabled

SSL certificate valid

No privacy policy link detected

No terms of service link detected

parsagon.io

https://parsagon.io

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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