Measuring AEO Success

AEO and GEO are parallel channels, and measuring success requires testing both independently. AEO success means AI systems find and cite your content when they search the web. GEO success means AI systems already know about you from training data. Different tests reveal different gaps.

The dual-path measurement approach works like this: For the AEO test, query with web search ON. Does the AI find your site, extract content, and cite it? For the GEO test, query with web search OFF. Does the AI already know your entity facts? These tests reveal different problems. High AEO + low GEO means you are crawlable but not in training data. High GEO + low AEO means you are known but have no citable source. See AEO vs SEO vs GEO for the full retrieval vs generation explanation.

Measurement Guides

1. 1.AI Visibility Score (AVS)A structured protocol for scoring your entity across 4 AI platforms, both search modes, with a combined 0–10 scale. Run monthly to track progress.
2. 2.Target Query MappingHow to identify the specific queries that matter for your entity, map them to pages, and test them systematically across both paths.

Start with Target Query Mapping to identify what to test, then use the AI Visibility Score protocol to measure and track your performance over time. For implementation details, see the step-by-step implementation guides.