AX Audit Report

https://agnost.ai

August 15, 202684ms response

53AX score / 100

Needs work

Readiness diagnosis

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

1 critical

3 warnings

19 passed

Global rank

#2659/5305

Community rank

#254/424

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

23 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

DiscoveryCurrent constraint

1.6 / 13 weighted points

12%

Identity

3.8 / 22 weighted points

17%

Access

28.7 / 31 weighted points

92%

Agent Integration

11.8 / 24 weighted points

49%

User Experience

7.3 / 10 weighted points

73%

Start here

Top Priorities

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

No JSON-LD structured data found

Structured Data

Review

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

Actionability

Review

Only 22% of images have alt text (2/9)

Content Quality

Review

Response is not compressed (no gzip/brotli)

Performance

Review

Benchmark context

Related AX Scores

Leading scores across the public AX Audit corpus.

Explore benchmarks

Explore the audit

Findings and fixes

Structured Data

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

No JSON-LD structured data found
Add JSON-LD structured data to your page <head>:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Business",
  "url": "https://yoursite.com",
  "description": "What your business does"
}
</script>

OpenGraph tags complete (title, description, image)

Meta tags complete (title, description, canonical)

llms.txt found with correct format

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://agnost.ai/sitemap-index.xml (declared in robots.txt)

Embedded conversion target declared — agents can act on the funnel's conversion URL
Conversion URL: https://cal.com/shubhamintech/agnost-enterprise-call

Booking/scheduling integration detected

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

HTML semantic structure is well-formed

Only 22% of images have alt text (2/9)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

2 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

Fast response time (84ms)

Lean HTML payload (24KB)

Response is not compressed (no gzip/brotli)
Enable gzip or Brotli compression on your server/CDN to cut transfer size for agents and crawlers.

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

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

No privacy policy link detected

Terms of service link found

Top Priorities

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

No JSON-LD structured data found

Structured Data

Review

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

Actionability

Review

Only 22% of images have alt text (2/9)

Content Quality

Review

Response is not compressed (no gzip/brotli)

Performance

Review

All Findings

https://agnost.ai

Readiness orbit

Top Priorities

Related AX Scores

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

https://agnost.ai

Readiness orbit

Top Priorities

Related AX Scores

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.