AI AEO/GEO Strategist

AI citation auditing tests your brand visibility across AI recommendation engines by running consistent prompt sets on ChatGPT, Claude, Gemini, and Perplexity to generate citation rate scorecards and identify competitive share-of-voice gaps.

Lost prompt analysis identifies where competitors appear in AI outputs but you do not, generating root-cause hypotheses based on entity optimization gaps, missing schema markup, or content structure issues favored by each specific answer engine.

The best way to improve brand visibility in AI answer engines is implementing a prioritized fix pack that includes schema markup enhancements, FAQ and comparison content planning, entity optimization guidance, and a measurable 14-day recheck loop.

AEO and GEO strategies rely heavily on schema markup and entity optimization because AI answer engines favor structured data and clear entity relationships when selecting sources to cite in generated responses across competitive categories.

Fixing lost prompts requires platform-specific pattern guidance tailored to how Perplexity favors source recency and structure, followed by content remediation and schema markup updates validated through a recheck measurement loop.

Competitor share-of-voice analysis in AI search results maps exactly where competitors appear across ChatGPT, Claude, Gemini, and Perplexity while your brand does not, using multi-platform prompt testing to quantify citation rate gaps.