AX-Audit-Bericht

https://kater.ai

August 12, 20261803ms response

48AX score / 100

Schlecht

Readiness diagnosis

This site is not ready for AI agents yet. Resolve the critical access and understanding gaps first.

1 kritisch

4 warnings

16 bestanden

Current constraintDiscovery12%

Five readiness layers

Readiness orbit

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

Evidence profile

21 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

1.6 / 13 weighted points

12%

Identity

4.0 / 22 weighted points

18%

Access

26.7 / 31 weighted points

86%

Agent Integration

9.4 / 24 weighted points

39%

User Experience

6.7 / 10 weighted points

67%

Start here

Top Priorities

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

No JSON-LD structured data found

Strukturierte Daten

Review

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

Agenteninteraktion

Review

No sitemap.xml found

Agenteninteraktion

Review

Missing semantic HTML: html lang="", <main>, <nav>, <header>, <footer>

Inhaltsqualität

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

No JSON-LD structured data found
Add JSON-LD structured data to your page <head>:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Business",
  "url": "https://yoursite.com",
  "description": "What your business does"
}
</script>

OpenGraph tags complete (title, description, image)

Missing meta tags: canonical link

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.

No sitemap.xml found
Create a /sitemap.xml file listing all your important pages. Also declare it in robots.txt:
Sitemap: https://yoursite.com/sitemap.xml

Embedded conversion target declared — agents can act on the funnel's conversion URL
Conversion URL: https://calendly.com/kater-yvonne/kater-demo

Booking/scheduling integration detected

Contact/lead form with an email field is present

CTA buttons have descriptive labels

Missing semantic HTML: html lang="", <main>, <nav>, <header>, <footer>
Add missing semantic HTML elements: html lang="", <main>, <nav>, <header>, <footer>

87% of images have alt text (74/85)

Sufficient text content available for AI extraction

FAQ-like content found but no FAQ schema

1 social media link 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 1.8s — acceptable, could be faster

Large HTML payload (1399KB)

Response is compressed (gzip)

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

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"

No current year found — the site may look stale to agents

HTTPS enabled

SSL certificate valid

No privacy policy link detected

Terms of service link found

kater.ai

https://kater.ai

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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