Отчёт AX Audit

https://lugg.com

August 12, 20261316ms response

79AX score / 100

Хорошо

Readiness diagnosis

This site is mostly ready for AI agents. A few focused improvements can close the remaining gaps.

0 критических

2 warnings

30 пройдено

Current constraintAgent Integration54%

Five readiness layers

Readiness orbit

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

Evidence profile

32 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

8.4 / 13 weighted points

65%

Identity

19.8 / 22 weighted points

90%

Access

29 / 31 weighted points

94%

Agent Integration

Current constraint

13.0 / 24 weighted points

54%

User Experience

9.3 / 10 weighted points

93%

Start here

Top Priorities

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

llms.txt found but format is incomplete

Взаимодействие с агентом

Review

Missing semantic HTML: <footer>

Качество контента

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 5 JSON-LD structured data blocks

Business schema found: Organization

OpenGraph tags complete (title, description, image)

Meta tags complete (title, description, canonical)

llms.txt found but format is incomplete
Your llms.txt should have: # Title, > description blockquote, ## Sections, and [links](url). 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

Priced offers found, but no clear checkout path for agents

Contact/lead form with an email field is present

Live chat / conversational widget detected

CTA buttons have descriptive labels

Missing semantic HTML: <footer>
Add missing semantic HTML elements: <footer>

96% of images have alt text (149/156)

Sufficient text content available for AI extraction

FAQ schema detected

81 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, address)

4 industry directory links found

Fast response time (1316ms)

Large HTML payload (1271KB)

Response is compressed (br)

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

Author/publisher identity declared in schema

Review/rating schema found — agents can cite social proof

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"

Machine-readable <time> elements found

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

lugg.com