AX Audit Report

https://popl.co

August 12, 2026784ms response

63AX 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

23 passed

Current constraintDiscovery31%

Five readiness layers

Readiness orbit

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

Evidence profile

27 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

Current constraint

4 / 13 weighted points

31%

Identity

16.2 / 22 weighted points

74%

Access

25.7 / 31 weighted points

83%

Agent Integration

8.7 / 24 weighted points

36%

User Experience

8.7 / 10 weighted points

87%

Start here

Top Priorities

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

CAPTCHA or bot protection detected

Crawlability

Review

llms.txt found but format is incomplete

Agent Interaction

Review

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

Actionability

Review

Explore the audit

Findings and fixes

Crawlability

Performance

Security & Trust

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.

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

Checkout path found, but no machine-readable prices (Offer schema)

A form is present but has no obvious email field

Live chat / conversational widget detected

CTA buttons have descriptive labels

HTML semantic structure is well-formed

98% of images have alt text (48/49)

Sufficient text content available for AI extraction

FAQ schema detected

Heading levels skip (e.g., h1 directly to h3)

7 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.

Limited contact information — add phone, email, and address

Fast response time (784ms)

HTML payload is on the heavier side (937KB)

Response is compressed (gzip)

No caching headers — repeat agent fetches can't be revalidated

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"

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

popl.co

https://popl.co

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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