Отчёт AX Audit

https://banabo.io

August 12, 20263014ms response

56AX score / 100

Needs work

Readiness diagnosis

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

1 критических

4 warnings

23 пройдено

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

28 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

2.2 / 13 weighted points

17%

Identity

Current constraint

3.2 / 22 weighted points

15%

Access

28.3 / 31 weighted points

91%

Agent Integration

15.5 / 24 weighted points

64%

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

Структурированные данные

Review

Missing semantic HTML: multiple <h1> tags (use only one)

Качество контента

Review

Explore the audit

Findings and fixes

Структурированные данные

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

llms.txt found but format is incorrect

llms-full.txt also found (two-file mode)

MCP configuration found at /.well-known/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 found but may not be valid XML

Embedded conversion target declared — agents can act on the funnel's conversion URL
Conversion URL: https://cal.com/ben-reilly/30min

Booking/scheduling integration detected

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

CTA buttons have descriptive labels

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

89% of images have alt text (8/9)

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)

Response time is 3.0s — slower than agents prefer

Lean HTML payload (54KB)

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

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"

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

Privacy policy link found

Terms of service link found

banabo.io