AX 감사 보고서

https://theverge.com

August 12, 20261039ms response

69AX 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

3 warnings

27개 통과

Current constraintAgent Integration49%

Five readiness layers

Readiness orbit

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

Evidence profile

31 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

6.7 / 13 weighted points

51%

Identity

17.1 / 22 weighted points

78%

Access

25.7 / 31 weighted points

83%

Agent Integration

Current constraint

11.8 / 24 weighted points

49%

User Experience

8 / 10 weighted points

80%

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: NewsMediaOrganization, WebSite)

구조화된 데이터

Review

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

에이전트 상호작용

Review

Missing semantic HTML: <h1>

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 2 JSON-LD structured data blocks

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

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.

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 specification found at /swagger.json

Sitemap found at https://theverge.com/sitemaps/google_news (declared in robots.txt)

RSS/Atom feed detected

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: <h1>
Add missing semantic HTML elements: <h1>

96% of images have alt text (100/104)

Sufficient text content available for AI extraction

21 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.

Contact information detected (phone, address)

Fast response time (1039ms)

HTML payload is on the heavier side (908KB)

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

3 authoritative citations (.gov/.edu/Wikipedia)

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"

Machine-readable <time> elements found

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

Privacy policy link found

Terms of service link found

theverge.com

https://theverge.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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