AX 감사 보고서

https://titan.com

August 12, 20261580ms 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

5 warnings

21개 통과

Current constraintAgent Integration13%

Five readiness layers

Readiness orbit

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

Evidence profile

26 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

5.6 / 13 weighted points

43%

Identity

19 / 22 weighted points

86%

Access

29 / 31 weighted points

94%

Agent Integration

Current constraint

3.1 / 24 weighted points

13%

User Experience

6.7 / 10 weighted points

67%

Start here

Top Priorities

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

No robots.txt file found

크롤 가능성

Review

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

에이전트 상호작용

Review

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

Actionability

Review

Missing semantic HTML: <footer>

콘텐츠 품질

Review

Only 5% of images have alt text (1/20)

콘텐츠 품질

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 1 JSON-LD structured data block

Business schema found: FinancialService

OpenGraph tags complete (title, description, image)

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

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

Direct contact link found, but no on-page form for agents

Missing semantic HTML: <footer>
Add missing semantic HTML elements: <footer>

Only 5% of images have alt text (1/20)
Add descriptive alt attributes to all <img> tags. Example: <img alt="Description of image content" src="..." />

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)

Location or rating data found in schema — consider linking to Google Business Profile

Contact information detected (phone, email)

Response time is 1.6s — acceptable, could be faster

Lean HTML payload (185KB)

Response is compressed (gzip)

Caching headers present (Cache-Control/ETag/Last-Modified)

Entry URL redirects before serving — adds latency for agents

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" }

Review/rating schema found — agents can cite social proof

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

titan.com

https://titan.com

Readiness orbit

Top Priorities

Findings and fixes

All Findings

Turn audit findings into an agent-ready funnel.

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