AX Audit Report

https://gooseworks.ai

August 12, 2026438ms response

70AX score / 100

Good

Readiness diagnosis

This site is mostly ready for AI agents. A few focused improvements can close the remaining gaps.

0 critical

3 warnings

27 passed

Current constraintAgent Integration38%

Five readiness layers

Readiness orbit

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

Evidence profile

30 checks recorded

Passed vs. material gaps

Critical

Warnings

Passed

Discovery

7.5 / 13 weighted points

57%

Identity

15.5 / 22 weighted points

70%

Access

31 / 31 weighted points

100%

Agent Integration

Current constraint

9.1 / 24 weighted points

38%

User Experience

6.7 / 10 weighted points

67%

Start here

Top Priorities

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

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

Agent Interaction

Review

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

Content Quality

Review

Explore the audit

Findings and fixes

Agent Interaction

Actionability

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

Business schema found: Organization

Schema has 5 fields — consider adding more for better AI comprehension

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

Embedded conversion target declared — agents can act on the funnel's conversion URL
Conversion URL: https://cal.com/shiv-athina/gooseworks-intro-call

Booking/scheduling integration detected

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

CTA buttons have descriptive labels

HTML semantic structure is well-formed

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

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.

Contact information detected (phone, email)

2 industry directory links found

Fast response time (438ms)

Lean HTML payload (77KB)

Response is compressed (br)

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

Partial security headers (HSTS only)

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"

Sitemap shows content updated within the last 6 months

Footer/copyright year is current

HTTPS enabled

SSL certificate valid

Privacy policy link found

Terms of service link found

gooseworks.ai