Отчёт AX Audit

https://datadrivenbioscience.com

August 12, 20262867ms response

55AX score / 100

Needs work

Readiness diagnosis

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

0 критических

11 warnings

16 пройдено

Current constraintDiscovery11%

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

1.4 / 13 weighted points

11%

Identity

12.9 / 22 weighted points

59%

Access

25 / 31 weighted points

81%

Agent Integration

10.3 / 24 weighted points

43%

User Experience

5.3 / 10 weighted points

53%

Start here

Top Priorities

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

No robots.txt file found

Индексируемость

Review

Missing OpenGraph tags: og:description

Структурированные данные

Review

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

Actionability

Review

No form or direct contact path — agents have no way to convert here

Actionability

Review

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

Качество контента

Review

Explore the audit

Findings and fixes

Индексируемость

Performance

Безопасность и доверие

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

Found 2 JSON-LD structured data blocks

Business schema found: LocalBusiness

Schema has 4 fields — consider adding more for better AI comprehension

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

Missing meta tags: meta description

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

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

Checkout path found, but no machine-readable prices (Offer schema)

No form or direct contact path — agents have no way to convert here
Add an agent-usable conversion path — a contact form, a booking widget, or a Dashform AI funnel agents can complete on the visitor's behalf.

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)

Only 27% of images have alt text (4/15)
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)

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.

Limited contact information — add phone, email, and address

Response time is 2.9s — acceptable, could be faster

Very large HTML payload (2165KB) — agents may truncate it
Trim your initial HTML payload — defer non-critical markup and avoid inlining large data blobs. Agents truncate very large documents.

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"

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

No privacy policy link detected

No terms of service link detected

datadrivenbioscience.com

https://datadrivenbioscience.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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