AX Audit Report

https://cubic.dev

August 12, 20261419ms response

61AX score / 100

Needs work

Readiness diagnosis

This site needs work before agents can use it reliably. Address the priority findings to improve readiness.

0 critical

7 warnings

25 passed

Current constraintDiscovery47%

Five readiness layers

Readiness orbit

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

Evidence profile

32 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

6.0 / 13 weighted points

47%

Identity

11.1 / 22 weighted points

50%

Access

28 / 31 weighted points

90%

Agent Integration

Current constraint

11.2 / 24 weighted points

47%

User Experience

Current constraint

4.7 / 10 weighted points

47%

Start here

Top Priorities

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

JSON-LD found but no business schema (found: unknown)

Structured Data

Review

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

Agent Interaction

Review

No Schema.org potentialAction — agents can't tell what they can do on your site

Actionability

Review

Missing semantic HTML: <main>, <header>, <footer>, multiple <h1> tags (use only one)

Content Quality

Review

Only 0% of images have alt text (0/29)

Content Quality

Review

Explore the audit

Findings and fixes

Structured Data

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

OpenGraph tags complete (title, description, image)

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.

MCP configuration found at /.well-known/mcp.json, /mcp.json, /.mcp.json, /.well-known/mcp

AI agent plugin manifest found at /.well-known/ai-plugin.json, /.well-known/ai-agent.json

API specification found at /openapi.json

sitemap.xml found and valid

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"
}

Booking/scheduling integration detected

Priced offers found, but no clear checkout path for agents

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

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

Only 0% of images have alt text (0/29)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

FAQ schema detected

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

4 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)

1 industry directory link found

Fast response time (1419ms)

HTML payload is on the heavier side (687KB)

Response is compressed (br)

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

Security headers present (HSTS + Content-Security-Policy)

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

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

cubic.dev

https://cubic.dev

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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