Rapport d'audit AX

https://alinea-invest.com

August 12, 20261783ms response

61AX score / 100

Needs work

Readiness diagnosis

This site needs work before agents can use it reliably. Address the priority findings to improve readiness.

0 critique

6 warnings

21 réussi

Current constraintDiscovery31%

Five readiness layers

Readiness orbit

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

Evidence profile

27 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

4 / 13 weighted points

31%

Identity

17.9 / 22 weighted points

82%

Access

26.4 / 31 weighted points

85%

Agent Integration

7.8 / 24 weighted points

33%

User Experience

5.3 / 10 weighted points

53%

Start here

Top Priorities

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

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

Données structurées

Review

llms.txt found but format is incomplete

Interaction avec l'agent

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

Only 5% of images have alt text (3/59)

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

Cookie consent wall detected — may block AI crawlers

No CAPTCHA or bot protection detected

Found 1 JSON-LD structured data block

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

OpenGraph tags complete (title, description, image)

Missing meta tags: canonical link

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

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

Contact/lead form with an email field is present

CTA buttons have descriptive labels

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

Only 5% of images have alt text (3/59)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

FAQ-like content found but no FAQ schema

Heading levels skip (e.g., h1 directly to h3)

9 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"
]

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

Contact information detected (phone, email)

Response time is 1.8s — acceptable, could be faster

Lean HTML payload (313KB)

Response is compressed (gzip)

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

Entry URL redirects before serving — adds latency for agents

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"

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

HTTPS enabled

SSL certificate valid

Privacy policy link found

No terms of service link detected

alinea-invest.com

https://alinea-invest.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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