Отчёт AX Audit

https://thanksroger.com

August 12, 20261446ms 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

5 warnings

21 пройдено

Current constraintDiscovery6%

Five readiness layers

Readiness orbit

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

Evidence profile

26 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

0.8 / 13 weighted points

Identity

15.1 / 22 weighted points

68%

Access

29 / 31 weighted points

94%

Agent Integration

9.1 / 24 weighted points

38%

User Experience

6 / 10 weighted points

60%

Start here

Top Priorities

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

Missing OpenGraph tags: og:image

Структурированные данные

Review

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

Взаимодействие с агентом

Review

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

Качество контента

Review

Only 6% of images have alt text (8/138)

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 4 JSON-LD structured data blocks

Business schema found: Organization

Schema has 3 fields — consider adding more for better AI comprehension

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

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

Schema.org potentialAction defined — agents know what actions are available

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

Contact/lead form with an email field is present

CTA buttons have descriptive labels

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

Only 6% of images have alt text (8/138)
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

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

Fast response time (1446ms)

HTML payload is on the heavier side (777KB)

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

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"

No current year found — the site may look stale to agents

HTTPS enabled

SSL certificate valid

Privacy policy link found

Terms of service link found

thanksroger.com

https://thanksroger.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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