AX 감사 보고서

https://tagmango.com

August 12, 2026604ms response

77AX score / 100

양호

Readiness diagnosis

This site is mostly ready for AI agents. A few focused improvements can close the remaining gaps.

0개 심각

5 warnings

29개 통과

Global rank

#43/5215

Consumer rank

#1/76

Current constraintDiscovery39%

Five readiness layers

Readiness orbit

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

Evidence profile

34 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

5.1 / 13 weighted points

39%

Identity

18.6 / 22 weighted points

84%

Access

29.7 / 31 weighted points

96%

Agent Integration

14.6 / 24 weighted points

61%

User Experience

8.7 / 10 weighted points

87%

Start here

Top Priorities

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

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

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: <header>, <footer>

콘텐츠 품질

Review

Response is not compressed (no gzip/brotli)

Performance

Review

Benchmark context

Related AX Scores

Leading scores in Consumer.

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 1 JSON-LD structured data block

JSON-LD found but no business schema (found: SoftwareApplication)
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.

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.xml found and valid

Embedded conversion target declared — agents can act on the funnel's conversion URL
Conversion URL: https://calendly.com/adya_tagmango/30min

Booking/scheduling integration detected

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.

Live chat / conversational widget detected

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

93% of images have alt text (79/85)

Sufficient text content available for AI extraction

FAQ-like content found but no FAQ schema

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"
]

Location or rating data found in schema — consider linking to Google Business Profile

Limited contact information — add phone, email, and address

Fast response time (604ms)

Lean HTML payload (128KB)

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

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

Terms of service link found

AX 감사 보고서

tagmango.com

AX 감사 보고서

https://tagmango.com

August 12, 2026604ms response

77AX score / 100

양호

Readiness diagnosis

This site is mostly ready for AI agents. A few focused improvements can close the remaining gaps.

0개 심각

5 warnings

29개 통과

Global rank

#43/5215

Consumer rank

#1/76

Current constraintDiscovery39%

Five readiness layers

Readiness orbit

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

Evidence profile

34 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

5.1 / 13 weighted points

39%

Identity

18.6 / 22 weighted points

84%

Access

29.7 / 31 weighted points

96%

Agent Integration

14.6 / 24 weighted points

61%

User Experience

8.7 / 10 weighted points

87%

Start here

Top Priorities

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

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

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: <header>, <footer>

콘텐츠 품질

Review

Response is not compressed (no gzip/brotli)

Performance

Review

Benchmark context

Related AX Scores

Leading scores in Consumer.

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 1 JSON-LD structured data block

JSON-LD found but no business schema (found: SoftwareApplication)
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.

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.xml found and valid

Embedded conversion target declared — agents can act on the funnel's conversion URL
Conversion URL: https://calendly.com/adya_tagmango/30min

Booking/scheduling integration detected

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.

Live chat / conversational widget detected

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

93% of images have alt text (79/85)

Sufficient text content available for AI extraction

FAQ-like content found but no FAQ schema

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"
]

Location or rating data found in schema — consider linking to Google Business Profile

Limited contact information — add phone, email, and address

Fast response time (604ms)

Lean HTML payload (128KB)

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

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

Terms of service link found

https://tagmango.com

Readiness orbit

Top Priorities

Related AX Scores

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

tagmango.com

https://tagmango.com

Readiness orbit

Top Priorities

Related AX Scores

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.