AX-Audit-Bericht

https://hyperbeam.com

August 12, 2026568ms response

47AX score / 100

Schlecht

Readiness diagnosis

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

1 kritisch

6 warnings

16 bestanden

Current constraintIdentity15%

Five readiness layers

Readiness orbit

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

Evidence profile

23 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

2.4 / 13 weighted points

18%

Identity

Current constraint

3.2 / 22 weighted points

15%

Access

29 / 31 weighted points

94%

Agent Integration

10.0 / 24 weighted points

42%

User Experience

2.7 / 10 weighted points

27%

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 robots.txt file found

Crawlbarkeit

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>, <footer>, multiple <h1> tags (use only one)

Inhaltsqualität

Review

Explore the audit

Findings and fixes

Strukturierte Daten

Authoritativeness

All Findings

No robots.txt file found
Create a robots.txt file at your site root. For AI-friendly access:

User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: Google-Extended
Allow: /

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.

API documentation links found

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/philipscott/30min

Booking/scheduling integration detected

A form is present but has no obvious email field

CTA buttons have descriptive labels

Missing semantic HTML: html lang="", <main>, <footer>, multiple <h1> tags (use only one)
Add missing semantic HTML elements: html lang="", <main>, <footer>, multiple <h1> tags (use only one)

Only 7% of images have alt text (3/44)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

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

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.

Limited contact information — add phone, email, and address

Fast response time (568ms)

Lean HTML payload (56KB)

Response is compressed (br)

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

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

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"

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

HTTPS enabled

SSL certificate valid

No privacy policy link detected

No terms of service link detected

hyperbeam.com

https://hyperbeam.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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