Отчёт AX Audit

https://flightcontrol.dev

August 12, 20262600ms response

66AX score / 100

Needs work

Readiness diagnosis

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

0 критических

6 warnings

28 пройдено

Global rank

#740/5215

Infrastructure & DevOps rank

#55/291

Current constraintDiscovery23%

Five readiness layers

Readiness orbit

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

Evidence profile

34 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

3.0 / 13 weighted points

23%

Identity

11.1 / 22 weighted points

50%

Access

28 / 31 weighted points

90%

Agent Integration

13.6 / 24 weighted points

57%

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)

Структурированные данные

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 Infrastructure & DevOps.

Explore benchmarks

Explore the audit

Findings and fixes

Структурированные данные

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

llms-full.txt also found (two-file mode)

MCP configuration found at /.well-known/mcp.json, /mcp.json, /.mcp.json, /.well-known/mcp

AI agent plugin manifest found at /.well-known/ai-plugin.json, /.well-known/ai-agent.json

API documentation links found

API specification found at /openapi.json

Sitemap found but may not be valid XML

RSS/Atom feed detected

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 (2/2)

Sufficient text content available for AI extraction

FAQ schema detected

3 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"
]

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

Response time is 2.6s — acceptable, could be faster

Lean HTML payload (291KB)

Response is compressed (br)

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"

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

Privacy policy link found

No terms of service link detected

Отчёт AX Audit

flightcontrol.dev

Отчёт AX Audit

https://flightcontrol.dev

August 12, 20262600ms response

66AX score / 100

Needs work

Readiness diagnosis

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

0 критических

6 warnings

28 пройдено

Global rank

#740/5215

Infrastructure & DevOps rank

#55/291

Current constraintDiscovery23%

Five readiness layers

Readiness orbit

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

Evidence profile

34 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

3.0 / 13 weighted points

23%

Identity

11.1 / 22 weighted points

50%

Access

28 / 31 weighted points

90%

Agent Integration

13.6 / 24 weighted points

57%

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)

Структурированные данные

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 Infrastructure & DevOps.

Explore benchmarks

Explore the audit

Findings and fixes

Структурированные данные

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

llms-full.txt also found (two-file mode)

MCP configuration found at /.well-known/mcp.json, /mcp.json, /.mcp.json, /.well-known/mcp

AI agent plugin manifest found at /.well-known/ai-plugin.json, /.well-known/ai-agent.json

API documentation links found

API specification found at /openapi.json

Sitemap found but may not be valid XML

RSS/Atom feed detected

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 (2/2)

Sufficient text content available for AI extraction

FAQ schema detected

3 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"
]

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

Response time is 2.6s — acceptable, could be faster

Lean HTML payload (291KB)

Response is compressed (br)

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"

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

Privacy policy link found

No terms of service link detected

https://flightcontrol.dev

Readiness orbit

Top Priorities

Related AX Scores

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

flightcontrol.dev

https://flightcontrol.dev

Readiness orbit

Top Priorities

Related AX Scores

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.