Relatório de Auditoria AX

https://inquery.ai

August 12, 20261298ms response

62AX 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

4 warnings

24 aprovado

Global rank

#1427/5215

Healthcare rank

#96/590

Current constraintDiscovery12%

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

1.6 / 13 weighted points

12%

Identity

11.8 / 22 weighted points

54%

Access

28.7 / 31 weighted points

92%

Agent Integration

10.1 / 24 weighted points

42%

User Experience

10 / 10 weighted points

100%

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

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

Actionability

Review

Benchmark context

Related AX Scores

Leading scores in Healthcare.

Explore benchmarks

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 with correct format

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 found at https://www.inquery.ai/sitemap-index.xml (declared in robots.txt)

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

HTML semantic structure is well-formed

100% of images have alt text (16/16)

Sufficient text content available for AI extraction

FAQ schema detected

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.

Limited contact information — add phone, email, and address

Fast response time (1298ms)

Lean HTML payload (137KB)

Response is compressed (br)

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

Entry URL redirects before serving — adds latency for agents

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" }

Review/rating schema found — agents can cite social proof

Partial security headers (HSTS only)

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

Relatório de Auditoria AX

inquery.ai

Relatório de Auditoria AX

https://inquery.ai

August 12, 20261298ms response

62AX 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

4 warnings

24 aprovado

Global rank

#1427/5215

Healthcare rank

#96/590

Current constraintDiscovery12%

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

1.6 / 13 weighted points

12%

Identity

11.8 / 22 weighted points

54%

Access

28.7 / 31 weighted points

92%

Agent Integration

10.1 / 24 weighted points

42%

User Experience

10 / 10 weighted points

100%

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

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

Actionability

Review

Benchmark context

Related AX Scores

Leading scores in Healthcare.

Explore benchmarks

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 with correct format

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 found at https://www.inquery.ai/sitemap-index.xml (declared in robots.txt)

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

HTML semantic structure is well-formed

100% of images have alt text (16/16)

Sufficient text content available for AI extraction

FAQ schema detected

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.

Limited contact information — add phone, email, and address

Fast response time (1298ms)

Lean HTML payload (137KB)

Response is compressed (br)

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

Entry URL redirects before serving — adds latency for agents

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" }

Review/rating schema found — agents can cite social proof

Partial security headers (HSTS only)

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

https://inquery.ai

Readiness orbit

Top Priorities

Related AX Scores

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

inquery.ai

https://inquery.ai

Readiness orbit

Top Priorities

Related AX Scores

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.