Relatório de Auditoria AX

https://eatnino.com

August 12, 2026866ms response

63AX score / 100

Needs work

Readiness diagnosis

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

0 crítico

6 warnings

22 aprovado

Current constraintDiscovery36%

Five readiness layers

Readiness orbit

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

Evidence profile

28 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

4.6 / 13 weighted points

36%

Identity

13.7 / 22 weighted points

62%

Access

28.3 / 31 weighted points

91%

Agent Integration

12.1 / 24 weighted points

50%

User Experience

4.7 / 10 weighted points

47%

Start here

Top Priorities

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

Missing OpenGraph tags: og:image

Dados Estruturados

Review

llms.txt found but format is incomplete

Interação com Agente

Review

Missing semantic HTML: <nav>

Qualidade do Conteúdo

Review

Only 0% of images have alt text (0/180)

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

Found 2 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="..." />

Missing meta tags: meta description

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.

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

Checkout path found, but no machine-readable prices (Offer schema)

A form is present but has no obvious email field

Live chat / conversational widget detected

CTA buttons have descriptive labels

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

Only 0% of images have alt text (0/180)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

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

No social media links found

Schema.org sameAs links found (cross-platform identity)

Google Maps / Business Profile presence detected

Limited contact information — add phone, email, and address

Fast response time (866ms)

Lean HTML payload (148KB)

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"

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

No privacy policy link detected

No terms of service link detected

eatnino.com

https://eatnino.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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