AX 감사 보고서

https://teamwork.com

August 12, 20262916ms 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

6 warnings

25개 통과

Current constraintDiscovery33%

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

Current constraint

4.3 / 13 weighted points

33%

Identity

15.4 / 22 weighted points

70%

Access

25.7 / 31 weighted points

83%

Agent Integration

10.9 / 24 weighted points

46%

User Experience

7.3 / 10 weighted points

73%

Start here

Top Priorities

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

JSON-LD found but no business schema (found: FAQPage, VideoObject, VideoObject, VideoObject, VideoObject, VideoObject)

구조화된 데이터

Review

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

에이전트 상호작용

Review

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

Actionability

Review

Missing semantic HTML: <main>, <header>

콘텐츠 품질

Review

Only 19% of images have alt text (19/101)

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

Cookie consent wall detected — may block AI crawlers

No CAPTCHA or bot protection detected

Found 7 JSON-LD structured data blocks

JSON-LD found but no business schema (found: FAQPage, VideoObject, VideoObject, VideoObject, VideoObject, VideoObject)
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)

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.

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

API documentation links found

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

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: <main>, <header>
Add missing semantic HTML elements: <main>, <header>

Only 19% of images have alt text (19/101)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

FAQ schema detected

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.

Limited contact information — add phone, email, and address

Response time is 2.9s — acceptable, could be faster

HTML payload is on the heavier side (576KB)

Response is compressed (br)

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

Entry URL redirects before serving — adds latency for agents

Author/publisher identity declared in schema

Review/rating schema found — agents can cite social proof

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"

Sitemap shows content updated within the last 6 months

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

Privacy policy link found

No terms of service link detected

teamwork.com

https://teamwork.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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