Informe de auditoría AX

https://flaviar.com

August 12, 2026797ms response

69AX 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

4 warnings

27 aprobado

Current constraintDiscovery42%

Five readiness layers

Readiness orbit

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

Evidence profile

32 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

5.4 / 13 weighted points

42%

Identity

16.2 / 22 weighted points

74%

Access

25.7 / 31 weighted points

83%

Agent Integration

12.1 / 24 weighted points

50%

User Experience

9.3 / 10 weighted points

93%

Start here

Top Priorities

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

CAPTCHA or bot protection detected

Rastreabilidad

Review

llms.txt found but format is incomplete

Interacción con el agente

Review

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

Actionability

Review

Very large HTML payload (2172KB) — agents may truncate it

Performance

Review

Explore the audit

Findings and fixes

Rastreabilidad

Performance

Seguridad y confianza

All Findings

robots.txt allows all major AI crawlers

Page returns HTTP 200

Page content available without JavaScript

CAPTCHA or bot protection detected
Consider allowing AI crawlers to bypass bot protection. Options:
1. Whitelist known AI crawler IPs (OpenAI, Anthropic, Google publish their ranges)
2. Use robots.txt to signal crawler access
3. Configure your WAF/CDN to exempt verified bot traffic

Found 2 JSON-LD structured data blocks

Business schema found: Organization

Schema has 7 fields — consider adding more for better AI comprehension

OpenGraph tags complete (title, description, image)

Meta tags complete (title, description, canonical)

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)

Contact/lead form with an email field is present

Live chat / conversational widget detected

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.

HTML semantic structure is well-formed

96% of images have alt text (292/305)

Sufficient text content available for AI extraction

FAQ-like content found but no FAQ schema

4 social media links found

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

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, address)

Fast response time (797ms)

Very large HTML payload (2172KB) — agents may truncate it
Trim your initial HTML payload — defer non-critical markup and avoid inlining large data blobs. Agents truncate very large documents.

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

Privacy policy link found

Terms of service link found

Informe de auditoría AX

flaviar.com

Informe de auditoría AX

https://flaviar.com

August 12, 2026797ms response

69AX 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

4 warnings

27 aprobado

Current constraintDiscovery42%

Five readiness layers

Readiness orbit

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

Evidence profile

32 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

5.4 / 13 weighted points

42%

Identity

16.2 / 22 weighted points

74%

Access

25.7 / 31 weighted points

83%

Agent Integration

12.1 / 24 weighted points

50%

User Experience

9.3 / 10 weighted points

93%

Start here

Top Priorities

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

CAPTCHA or bot protection detected

Rastreabilidad

Review

llms.txt found but format is incomplete

Interacción con el agente

Review

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

Actionability

Review

Very large HTML payload (2172KB) — agents may truncate it

Performance

Review

Explore the audit

Findings and fixes

Rastreabilidad

Performance

Seguridad y confianza

All Findings

robots.txt allows all major AI crawlers

Page returns HTTP 200

Page content available without JavaScript

CAPTCHA or bot protection detected
Consider allowing AI crawlers to bypass bot protection. Options:
1. Whitelist known AI crawler IPs (OpenAI, Anthropic, Google publish their ranges)
2. Use robots.txt to signal crawler access
3. Configure your WAF/CDN to exempt verified bot traffic

Found 2 JSON-LD structured data blocks

Business schema found: Organization

Schema has 7 fields — consider adding more for better AI comprehension

OpenGraph tags complete (title, description, image)

Meta tags complete (title, description, canonical)

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)

Contact/lead form with an email field is present

Live chat / conversational widget detected

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.

HTML semantic structure is well-formed

96% of images have alt text (292/305)

Sufficient text content available for AI extraction

FAQ-like content found but no FAQ schema

4 social media links found

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

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, address)

Fast response time (797ms)

Very large HTML payload (2172KB) — agents may truncate it
Trim your initial HTML payload — defer non-critical markup and avoid inlining large data blobs. Agents truncate very large documents.

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

Privacy policy link found

Terms of service link found

https://flaviar.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

flaviar.com

https://flaviar.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.