AX-Audit-Bericht

https://pydantic.dev

August 12, 2026853ms 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.

0 kritisch

5 warnings

29 bestanden

Current constraintDiscovery44%

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

5.7 / 13 weighted points

44%

Identity

11.8 / 22 weighted points

54%

Access

30.3 / 31 weighted points

98%

Agent Integration

11.5 / 24 weighted points

48%

User Experience

9.3 / 10 weighted points

93%

Start here

Top Priorities

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

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

Strukturierte Daten

Review

llms.txt found but format is incomplete

Agenteninteraktion

Review

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

Actionability

Review

Explore the audit

Findings and fixes

Strukturierte Daten

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: 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

llms.txt found but format is incomplete
Your llms.txt should have: # Title, > description blockquote, ## Sections, and [links](url). See https://llmstxt.org for the full spec.

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

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

sitemap.xml found and valid

RSS/Atom feed detected

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

Priced offers found, but no clear checkout path for agents

Contact/lead form with an email field is present

CTA buttons have descriptive labels

HTML semantic structure is well-formed

100% of images have alt text (5/5)

Sufficient text content available for AI extraction

FAQ-like content found but no FAQ schema

3 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, address)

Fast response time (853ms)

Lean HTML payload (201KB)

Response is compressed (br)

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

Author/publisher identity declared in schema

No review/rating schema — agents can't surface your reputation

Partial security headers (HSTS only)

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

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

AX-Audit-Bericht

pydantic.dev

AX-Audit-Bericht

https://pydantic.dev

August 12, 2026853ms 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.

0 kritisch

5 warnings

29 bestanden

Current constraintDiscovery44%

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

5.7 / 13 weighted points

44%

Identity

11.8 / 22 weighted points

54%

Access

30.3 / 31 weighted points

98%

Agent Integration

11.5 / 24 weighted points

48%

User Experience

9.3 / 10 weighted points

93%

Start here

Top Priorities

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

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

Strukturierte Daten

Review

llms.txt found but format is incomplete

Agenteninteraktion

Review

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

Actionability

Review

Explore the audit

Findings and fixes

Strukturierte Daten

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: 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

llms.txt found but format is incomplete
Your llms.txt should have: # Title, > description blockquote, ## Sections, and [links](url). See https://llmstxt.org for the full spec.

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

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

sitemap.xml found and valid

RSS/Atom feed detected

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

Priced offers found, but no clear checkout path for agents

Contact/lead form with an email field is present

CTA buttons have descriptive labels

HTML semantic structure is well-formed

100% of images have alt text (5/5)

Sufficient text content available for AI extraction

FAQ-like content found but no FAQ schema

3 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, address)

Fast response time (853ms)

Lean HTML payload (201KB)

Response is compressed (br)

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

Author/publisher identity declared in schema

No review/rating schema — agents can't surface your reputation

Partial security headers (HSTS only)

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

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

https://pydantic.dev

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

pydantic.dev

https://pydantic.dev

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.