Use case

Technical AEO Auditing

Identify technical blockers preventing AI engines from discovering and citing your content.

Quick answer
Technical barriers silently prevent AI engines from discovering, accessing, and citing your content. Unlike SEO issues that degrade rankings gradually, technical AEO blockers create binary visibility failures—your content is either accessible to AI engines or completely invisible. Most organisations have no way to detect these blockers until they audit specifically for AI engine access.
Expected outcomes

What you can achieve

15+
AI-specific technical checks per audit
72%
of sites have at least one critical AI blocker
<1 week
average time to resolve critical blockers
2.5x
AI visibility lift after resolving blockers
How it works

Technical AEO Auditing with AEO Platform

1

Run technical AEO audit

The platform scans your website for AI crawler accessibility, structured data quality, llms.txt configuration, and content architecture issues.

2

Review critical blockers

Examine issues categorised by severity. Critical blockers (e.g., AI crawlers blocked in robots.txt) are highlighted for immediate action.

3

Diagnose root causes

For each issue, the platform explains why it matters for AI visibility and traces the root cause—whether it's a server configuration, CMS setting, or content structure problem.

4

Implement fixes

Follow step-by-step resolution guides for each issue. The platform provides code-level recommendations for robots.txt changes, schema markup additions, and llms.txt implementation.

5

Validate and monitor

After fixes are deployed, the platform re-audits to confirm resolution and sets up continuous monitoring to catch regressions in future deployments.

The solution

How AEO Platform helps

AEO Platform runs a comprehensive technical audit that evaluates your website through the lens of AI engine accessibility. The audit checks robots.txt configuration for AI crawler access, llms.txt implementation, structured data completeness, JavaScript rendering requirements, crawl paths, and content architecture.

The Detection-Diagnosis-Resolution framework identifies each technical issue, explains its impact on AI visibility, and provides specific steps to fix it. Issues are categorised by severity—critical blockers (AI crawlers completely blocked), major issues (partial content accessibility), and optimisation opportunities (improvements that enhance but don't gate AI visibility).

The platform monitors technical health continuously after the initial audit, alerting you if a deployment introduces new AI crawler blocks, if structured data breaks, or if llms.txt configuration changes. This prevents technical regressions that could silently eliminate your AI visibility.

Example queries

Queries to monitor

How do I check if my site is accessible to AI crawlers?
What is llms.txt and do I need it?
Is my robots.txt blocking AI engines?
Technical requirements for AI search visibility
How do AI crawlers access website content?
FAQ

Technical AEO Auditing FAQ

Relevant engines
Get started

Start with the pages and proof that AI can actually use

Run the free audit to see what blocks AI from citing your site. Use the trial when you need ongoing monitoring, attribution, prompt discovery, and team workflows after the first fixes are live.