AX 감사 보고서

https://learnworlds.com

August 12, 20262725ms response

60AX score / 100

Needs work

Readiness diagnosis

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

1개 심각

5 warnings

24개 통과

Current constraintAgent Integration38%

Five readiness layers

Readiness orbit

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

Evidence profile

30 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

6.3 / 13 weighted points

49%

Identity

13.3 / 22 weighted points

61%

Access

24.4 / 31 weighted points

79%

Agent Integration

Current constraint

9.1 / 24 weighted points

38%

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

크롤 가능성

Review

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

구조화된 데이터

Review

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

에이전트 상호작용

Review

Only 61% of images have alt text (155/256)

콘텐츠 품질

Review

Explore the audit

Findings and fixes

크롤 가능성

Performance

보안 및 신뢰

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: 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

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.xml found and valid

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

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

Only 61% of images have alt text (155/256)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

Heading levels skip (e.g., h1 directly to h3)

5 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 2.7s — acceptable, could be faster

Lean HTML payload (289KB)

Response is compressed (gzip)

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

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)

Content dates (dateModified/datePublished) present in schema

Sitemap shows content updated within the last 6 months

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

learnworlds.com

https://learnworlds.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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