Отчёт AX Audit

https://predictleads.com

August 12, 20261507ms response

65AX 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

6 warnings

24 пройдено

Current constraintDiscovery29%

Five readiness layers

Readiness orbit

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

Evidence profile

31 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

3.8 / 13 weighted points

29%

Identity

12.6 / 22 weighted points

57%

Access

26.4 / 31 weighted points

85%

Agent Integration

12.4 / 24 weighted points

51%

User Experience

9.3 / 10 weighted points

93%

Start here

Top Priorities

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

CAPTCHA or bot protection detected

Индексируемость

Review

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

Структурированные данные

Review

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

Actionability

Review

Missing semantic HTML: <main>, <header>

Качество контента

Review

Explore the audit

Findings and fixes

Индексируемость

Performance

Безопасность и доверие

All Findings

robots.txt allows all major AI crawlers

Page returns HTTP 200

Page content available without JavaScript

CAPTCHA or bot protection detected
Consider allowing AI crawlers to bypass bot protection. Options:
1. Whitelist known AI crawler IPs (OpenAI, Anthropic, Google publish their ranges)
2. Use robots.txt to signal crawler access
3. Configure your WAF/CDN to exempt verified bot traffic

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

llms.txt found with correct format

Page mentions MCP support but no MCP endpoint found

API documentation links found

Sitemap found but may not be valid XML

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

A form is present but has no obvious email field

CTA buttons have descriptive labels

Missing semantic HTML: <main>, <header>
Add missing semantic HTML elements: <main>, <header>

96% of images have alt text (46/48)

Sufficient text content available for AI extraction

FAQ schema detected

1 social media link 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

4 industry directory links found

Response time is 1.5s — acceptable, could be faster

Lean HTML payload (168KB)

Response is compressed (gzip)

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

1 authoritative citation (.gov/.edu/Wikipedia)

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"

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

Privacy policy link found

Terms of service link found

predictleads.com

https://predictleads.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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