Relatório de Auditoria AX

https://recall.ai

August 12, 20261622ms response

56AX 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

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

11.1 / 22 weighted points

50%

Access

29 / 31 weighted points

94%

Agent Integration

9.8 / 24 weighted points

41%

User Experience

3.3 / 10 weighted points

33%

Start here

Top Priorities

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

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

Dados Estruturados

Review

Missing semantic HTML: <main>, <header>, <footer>, multiple <h1> tags (use only one)

Qualidade do Conteúdo

Review

Only 19% of images have alt text (37/194)

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 1 JSON-LD structured data block

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

Schema has 0 fields — consider adding more for better AI comprehension

OpenGraph tags complete (title, description, image)

Meta tags complete (title, description, canonical)

JSON-LD schema missing @context or @type

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.

sitemap.xml found and valid

Schema.org potentialAction defined — agents know what actions are available

Booking/scheduling integration detected

Direct contact link found, but no on-page form for agents

CTA buttons have descriptive labels

Missing semantic HTML: <main>, <header>, <footer>, multiple <h1> tags (use only one)
Add missing semantic HTML elements: <main>, <header>, <footer>, multiple <h1> tags (use only one)

Only 19% of images have alt text (37/194)
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)

1 social media link 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.

Contact information detected (phone, email)

Response time is 1.6s — acceptable, could be faster

Lean HTML payload (216KB)

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

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

No HSTS or CSP headers detected
Add Strict-Transport-Security and Content-Security-Policy headers — they signal a well-maintained, trustworthy origin.

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

recall.ai

https://recall.ai

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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