Informe de auditoría AX

https://porter.run

August 12, 20262618ms response

58AX 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

20 aprobado

Global rank

#2090/5215

Infrastructure & DevOps rank

#133/291

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

26 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

1.6 / 13 weighted points

12%

Identity

18.6 / 22 weighted points

84%

Access

29 / 31 weighted points

94%

Agent Integration

4.0 / 24 weighted points

17%

User Experience

4.7 / 10 weighted points

47%

Start here

Top Priorities

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

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

Datos estructurados

Review

No llms.txt file found — AI agents cannot discover your services

Interacción con el agente

Review

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

Actionability

Review

No form or direct contact path — agents have no way to convert here

Actionability

Review

Missing semantic HTML: html lang="", <main>, <header>

Calidad del contenido

Review

Benchmark context

Related AX Scores

Leading scores in Infrastructure & DevOps.

Explore benchmarks

Explore the audit

Findings and fixes

Datos estructurados

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: SoftwareApplication)
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)

Meta tags complete (title, description, canonical)

No llms.txt file found — AI agents cannot discover your services
Create a /llms.txt file at your site root:

# Your Business Name

> Brief description of your business.

## Services
- [Service 1](/service-1): Description
- [Service 2](/service-2): Description

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

Priced offers found, but no clear checkout path for agents

No form or direct contact path — agents have no way to convert here
Add an agent-usable conversion path — a contact form, a booking widget, or a Dashform AI funnel agents can complete on the visitor's behalf.

CTA buttons have descriptive labels

Missing semantic HTML: html lang="", <main>, <header>
Add missing semantic HTML elements: html lang="", <main>, <header>

Only 0% of images have alt text (0/35)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

No 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

Limited contact information — add phone, email, and address

Response time is 2.6s — acceptable, could be faster

Lean HTML payload (225KB)

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

Terms of service link found

Informe de auditoría AX

porter.run

Informe de auditoría AX

https://porter.run

August 12, 20262618ms response

58AX 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

20 aprobado

Global rank

#2090/5215

Infrastructure & DevOps rank

#133/291

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

26 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

1.6 / 13 weighted points

12%

Identity

18.6 / 22 weighted points

84%

Access

29 / 31 weighted points

94%

Agent Integration

4.0 / 24 weighted points

17%

User Experience

4.7 / 10 weighted points

47%

Start here

Top Priorities

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

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

Datos estructurados

Review

No llms.txt file found — AI agents cannot discover your services

Interacción con el agente

Review

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

Actionability

Review

No form or direct contact path — agents have no way to convert here

Actionability

Review

Missing semantic HTML: html lang="", <main>, <header>

Calidad del contenido

Review

Benchmark context

Related AX Scores

Leading scores in Infrastructure & DevOps.

Explore benchmarks

Explore the audit

Findings and fixes

Datos estructurados

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: SoftwareApplication)
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)

Meta tags complete (title, description, canonical)

No llms.txt file found — AI agents cannot discover your services
Create a /llms.txt file at your site root:

# Your Business Name

> Brief description of your business.

## Services
- [Service 1](/service-1): Description
- [Service 2](/service-2): Description

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

Priced offers found, but no clear checkout path for agents

No form or direct contact path — agents have no way to convert here
Add an agent-usable conversion path — a contact form, a booking widget, or a Dashform AI funnel agents can complete on the visitor's behalf.

CTA buttons have descriptive labels

Missing semantic HTML: html lang="", <main>, <header>
Add missing semantic HTML elements: html lang="", <main>, <header>

Only 0% of images have alt text (0/35)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

No 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

Limited contact information — add phone, email, and address

Response time is 2.6s — acceptable, could be faster

Lean HTML payload (225KB)

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

Terms of service link found

https://porter.run

Readiness orbit

Top Priorities

Related AX Scores

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

porter.run

https://porter.run

Readiness orbit

Top Priorities

Related AX Scores

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.