Relatório de Auditoria AX

https://payloadcms.com

August 12, 2026718ms response

54AX score / 100

Needs work

Readiness diagnosis

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

1 crítico

5 warnings

21 aprovado

Current constraintDiscovery18%

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

2.4 / 13 weighted points

18%

Identity

4.7 / 22 weighted points

21%

Access

31 / 31 weighted points

100%

Agent Integration

8.4 / 24 weighted points

35%

User Experience

8 / 10 weighted points

80%

Start here

Top Priorities

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

No JSON-LD structured data found

Dados Estruturados

Review

llms.txt found but format is incomplete

Interação com Agente

Review

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

Actionability

Review

1 button with vague labels (e.g., "Click here")

Actionability

Review

Missing semantic HTML: <main>, <nav>

Qualidade do Conteúdo

Review

Explore the audit

Findings and fixes

Dados Estruturados

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

No JSON-LD structured data found
Add JSON-LD structured data to your page <head>:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Business",
  "url": "https://yoursite.com",
  "description": "What your business does"
}
</script>

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.

llms-full.txt also found (two-file mode)

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

Contact/lead form with an email field is present

1 button with vague labels (e.g., "Click here")
Replace vague button text like "Click here" or "Submit" with descriptive labels like "Book a Demo" or "Get Started". Agents rely on button text to understand page actions.

Missing semantic HTML: <main>, <nav>
Add missing semantic HTML elements: <main>, <nav>

100% of images have alt text (25/25)

Sufficient text content available for AI extraction

3 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 (718ms)

Lean HTML payload (276KB)

Response is compressed (br)

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

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" }

No review/rating schema — agents can't surface your reputation

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

Terms of service link found

payloadcms.com

https://payloadcms.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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