Отчёт AX Audit

https://bitgo.com

August 12, 20262292ms response

60AX 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

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

30 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

28 / 31 weighted points

90%

Agent Integration

8.4 / 24 weighted points

35%

User Experience

7.3 / 10 weighted points

73%

Start here

Top Priorities

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

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

Структурированные данные

Review

No sitemap.xml found

Взаимодействие с агентом

Review

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

Actionability

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

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

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

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.

API documentation links found

No sitemap.xml found
Create a /sitemap.xml file listing all your important pages. Also declare it in robots.txt:
Sitemap: https://yoursite.com/sitemap.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

A form is present but has no obvious email field

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)

85% of images have alt text (28/33)

Sufficient text content available for AI extraction

FAQ-like content found but no FAQ schema

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)

Response time is 2.3s — acceptable, could be faster

Lean HTML payload (351KB)

Response is compressed (br)

Caching headers present (Cache-Control/ETag/Last-Modified)

Entry URL redirects before serving — adds latency for agents

Author/publisher identity declared in schema

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"

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

Privacy policy link found

No terms of service link detected

bitgo.com

https://bitgo.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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