Отчёт AX Audit

https://gimbooks.com

August 12, 20262801ms 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.

0 критических

5 warnings

25 пройдено

Current constraintAgent Integration20%

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

7.5 / 13 weighted points

57%

Identity

17.7 / 22 weighted points

81%

Access

26.3 / 31 weighted points

85%

Agent Integration

Current constraint

4.8 / 24 weighted points

20%

User Experience

8.7 / 10 weighted points

87%

Start here

Top Priorities

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

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

Взаимодействие с агентом

Review

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

Actionability

Review

Only 43% of images have alt text (10/23)

Качество контента

Review

Response is not compressed (no gzip/brotli)

Performance

Review

Explore the audit

Findings and fixes

Взаимодействие с агентом

Actionability

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 3 JSON-LD structured data blocks

Business schema found: Organization

Schema has 7 fields — consider adding more for better AI comprehension

OpenGraph tags complete (title, description, image)

Meta tags complete (title, description, canonical)

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.

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.

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"
}

No scheduling link found — agents can't book time with you directly

Priced offers found, but no clear checkout path for agents

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

CTA buttons have descriptive labels

HTML semantic structure is well-formed

Only 43% of images have alt text (10/23)
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

6 social media links found

Schema.org sameAs links found (cross-platform identity)

Location or rating data found in schema — consider linking to Google Business Profile

Contact information detected (phone, email)

Response time is 2.8s — acceptable, could be faster

Lean HTML payload (85KB)

Response is not compressed (no gzip/brotli)
Enable gzip or Brotli compression on your server/CDN to cut transfer size for agents and crawlers.

No caching headers — repeat agent fetches can't be revalidated

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" }

Review/rating schema found — agents can cite social proof

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

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

Privacy policy link found

Terms of service link found

gimbooks.com

https://gimbooks.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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