AX 감사 보고서

https://polleverywhere.com

August 12, 20262283ms 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.

0개 심각

7 warnings

22개 통과

Current constraintAgent Integration27%

Five readiness layers

Readiness orbit

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

Evidence profile

29 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

4.7 / 13 weighted points

36%

Identity

13.2 / 22 weighted points

60%

Access

29 / 31 weighted points

94%

Agent Integration

Current constraint

6.6 / 24 weighted points

27%

User Experience

9.3 / 10 weighted points

93%

Start here

Top Priorities

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

No robots.txt file found

크롤 가능성

Review

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

구조화된 데이터

Review

Missing OpenGraph tags: og:image

구조화된 데이터

Review

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

에이전트 상호작용

Review

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

Actionability

Review

Explore the audit

Findings and fixes

크롤 가능성

Performance

보안 및 신뢰

All Findings

No robots.txt file found
Create a robots.txt file at your site root. For AI-friendly access:

User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: Google-Extended
Allow: /

Page returns HTTP 200

Page content available without JavaScript

No CAPTCHA or bot protection detected

Found 2 JSON-LD structured data blocks

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

Missing OpenGraph tags: og:image
<meta property="og:image" content="..." />

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

Schema.org potentialAction defined — agents know what actions are available

No scheduling link found — agents can't book time with you directly

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 68% of images have alt text (30/44)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

Sufficient text content available for AI extraction

FAQ schema detected

1 social media link 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 2.3s — acceptable, could be faster

Lean HTML payload (156KB)

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

Security headers present (HSTS + Content-Security-Policy)

Content dates (dateModified/datePublished) present in schema

Sitemap shows content updated within the last 6 months

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

polleverywhere.com

https://polleverywhere.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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