Diagnosing AEO gaps: A content audit guide

A content audit is the first step for brands trying to fix gaps where AI answer engines fail to cite their pages. These gaps occur for different reasons—missing pages, buried answers, or third-party citations—and require distinct fixes rather than a single solution. The guide breaks the audit into four layers: coverage, answerability, classification, and citation sources, each addressing a different reason an engine may overlook a brand.

The audit evaluates whether a brand has content covering a topic, whether machines can extract a complete answer, whether the content is properly labeled, and whether trusted third parties mention the brand. Each layer points to different teams and timelines; for example, schema issues fall under development, while citation gaps involve PR and partnerships. The goal is to diagnose all gaps together before assigning fixes.

Fixing AEO gaps can yield significant results, with HubSpot reporting a 433% improvement in brand citations after prioritizing AEO. The distinction between being findable and being cited is critical, as AI engines require both conditions to include a source. The guide emphasizes that SEO alone does not guarantee citation, comparing it to a library system where findability does not ensure inclusion in an answer.

To begin an AEO audit, brands should first check for coverage gaps by compiling a prompt inventory of 25 to 50 buyer questions. If no page addresses a prompt, it’s a true coverage gap; if a page exists but isn’t cited, the issue may lie in answerability or citation sources. The audit process helps brands systematically identify and prioritize fixes based on actual pipeline impact.