aeo-audit

An AI search visibility audit checks if your brand is accurately cited, described, and recommended in AI answer engines. It evaluates branded, category, comparison, and problem-solution queries to identify citation accuracy and content gaps.

You audit your brand presence by running a set of branded, category, and best-of queries across AI answer engines. The audit evaluates citation accuracy, checks source authority, and benchmarks mention frequency against competitors.

To check citation accuracy, you run targeted AEO queries against the AI engines and verify whether the returned facts, descriptions, and URLs are current. The audit flags incorrect or missing mentions so you can correct them.

Yes, you can compare your brand's mention frequency and sentiment against competitors. The audit identifies content gaps and generates an optimization playbook with entity and structured-data recommendations to improve visibility.

The best way to improve AI search visibility is to implement an optimization playbook based on an AEO audit. This involves fixing content gaps, building entity authority, and adding structured data to ensure accurate brand citations.

You should use branded, category, comparison, best-of, and problem-solution query sets. These query types test how accurately AI answer engines surface and describe your brand across different search contexts.