Rapport d'audit AX

https://eversign.com

August 12, 2026576ms response

71AX score / 100

Bon

Readiness diagnosis

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

0 critique

5 warnings

28 réussi

Current constraintAgent Integration36%

Five readiness layers

Readiness orbit

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

Evidence profile

33 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

7.0 / 13 weighted points

54%

Identity

16.0 / 22 weighted points

73%

Access

31 / 31 weighted points

100%

Agent Integration

Current constraint

8.7 / 24 weighted points

36%

User Experience

8 / 10 weighted points

80%

Start here

Top Priorities

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

JSON-LD found but no business schema (found: WebSite, SoftwareApplication,WebApplication)

Données structurées

Review

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

Actionability

Review

Missing semantic HTML: <header>

Qualité du contenu

Review

Explore the audit

Findings and fixes

Données structurées

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 2 JSON-LD structured data blocks

JSON-LD found but no business schema (found: WebSite, SoftwareApplication,WebApplication)
Add a business-specific schema type (LocalBusiness, Organization, Product, Service) to help AI agents understand what your business offers.

Schema has 2 fields — consider adding more for better AI comprehension

OpenGraph tags complete (title, description, image)

Meta tags complete (title, description, canonical)

llms.txt found but format is incorrect

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

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

Contact/lead form with an email field is present

CTA buttons have descriptive labels

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

82% of images have alt text (73/89)

Sufficient text content available for AI extraction

4 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

Limited contact information — add phone, email, and address

5 industry directory links found

Fast response time (576ms)

Lean HTML payload (426KB)

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

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

Terms of service link found

eversign.com

https://eversign.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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