AX-Audit-Bericht

https://mono.la

August 12, 20261198ms response

53AX 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

6 warnings

21 bestanden

Current constraintAgent Integration17%

Five readiness layers

Readiness orbit

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

Evidence profile

27 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

2.2 / 13 weighted points

17%

Identity

11.2 / 22 weighted points

51%

Access

28.7 / 31 weighted points

92%

Agent Integration

Current constraint

4.0 / 24 weighted points

17%

User Experience

7.3 / 10 weighted points

73%

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

Missing OpenGraph tags: og:image

Strukturierte Daten

Review

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

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

Missing OpenGraph tags: og:image
<meta property="og:image" content="..." />

Meta tags complete (title, description, canonical)

JSON-LD schema missing @context or @type

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.

Sitemap found at https://www.mono.la/sitemap-index.xml (declared in robots.txt)

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

Direct contact link found, but no on-page form for agents

CTA buttons have descriptive labels

HTML semantic structure is well-formed

93% of images have alt text (13/14)

Sufficient text content available for AI extraction

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

No 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, email)

Fast response time (1198ms)

Lean HTML payload (42KB)

Response is compressed (br)

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

Entry URL redirects before serving — adds latency for agents

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"

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

No privacy policy link detected

Terms of service link found

mono.la

https://mono.la

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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