AX-Audit-Bericht

https://vellum.ai

August 12, 20261703ms response

73AX score / 100

Gut

Readiness diagnosis

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

0 kritisch

1 warnings

27 bestanden

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

28 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

6.7 / 13 weighted points

51%

Identity

19 / 22 weighted points

86%

Access

29 / 31 weighted points

94%

Agent Integration

Current constraint

11.8 / 24 weighted points

49%

User Experience

6.7 / 10 weighted points

67%

Start here

Top Priorities

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

Missing semantic HTML: <main>, <h1>

Inhaltsqualität

Review

Explore the audit

Findings and fixes

Inhaltsqualität

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 3 JSON-LD structured data blocks

Business schema found: Organization

OpenGraph tags complete (title, description, image)

Meta tags complete (title, description, canonical)

llms.txt found with correct format

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

CTA buttons have descriptive labels

Missing semantic HTML: <main>, <h1>
Add missing semantic HTML elements: <main>, <h1>

82% of images have alt text (14/17)

Sufficient text content available for AI extraction

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

1 social media link found

Schema.org sameAs links found (cross-platform identity)

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

Contact information detected (phone, email)

Response time is 1.7s — acceptable, could be faster

Lean HTML payload (424KB)

Response is compressed (gzip)

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

No HSTS or CSP headers detected
Add Strict-Transport-Security and Content-Security-Policy headers — they signal a well-maintained, trustworthy origin.

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-Audit-Bericht

vellum.ai

AX-Audit-Bericht

https://vellum.ai

August 12, 20261703ms response

73AX score / 100

Gut

Readiness diagnosis

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

0 kritisch

1 warnings

27 bestanden

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

28 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

6.7 / 13 weighted points

51%

Identity

19 / 22 weighted points

86%

Access

29 / 31 weighted points

94%

Agent Integration

Current constraint

11.8 / 24 weighted points

49%

User Experience

6.7 / 10 weighted points

67%

Start here

Top Priorities

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

Missing semantic HTML: <main>, <h1>

Inhaltsqualität

Review

Explore the audit

Findings and fixes

Inhaltsqualität

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 3 JSON-LD structured data blocks

Business schema found: Organization

OpenGraph tags complete (title, description, image)

Meta tags complete (title, description, canonical)

llms.txt found with correct format

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

CTA buttons have descriptive labels

Missing semantic HTML: <main>, <h1>
Add missing semantic HTML elements: <main>, <h1>

82% of images have alt text (14/17)

Sufficient text content available for AI extraction

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

1 social media link found

Schema.org sameAs links found (cross-platform identity)

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

Contact information detected (phone, email)

Response time is 1.7s — acceptable, could be faster

Lean HTML payload (424KB)

Response is compressed (gzip)

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

No HSTS or CSP headers detected
Add Strict-Transport-Security and Content-Security-Policy headers — they signal a well-maintained, trustworthy origin.

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://vellum.ai

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

vellum.ai

https://vellum.ai

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.