AX Audit Report

https://observantai.com

August 12, 20261932ms response

49AX score / 100

Poor

Readiness diagnosis

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

1 critical

5 warnings

18 passed

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

24 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

29 / 31 weighted points

94%

Agent Integration

11.7 / 24 weighted points

49%

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

Structured Data

Review

No robots.txt file found

Crawlability

Review

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

Agent Interaction

Review

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

Content Quality

Review

Only 0% of images have alt text (0/15)

Content Quality

Review

Explore the audit

Findings and fixes

Structured Data

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.

sitemap.xml found and valid

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

Booking/scheduling integration detected

Contact/lead form with an email field is present

Live chat / conversational widget detected

CTA buttons have descriptive labels

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

Only 0% of images have alt text (0/15)
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)

2 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

Response time is 1.9s — acceptable, could be faster

Lean HTML payload (17KB)

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

Privacy policy link found

Terms of service link found

observantai.com

https://observantai.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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