AEO Audit — Answer Engine Optimization

AEO is the practice of making your brand discoverable, named, and cited inside AI answer engines like ChatGPT, Gemini, and Perplexity — the way buyers increasingly research instead of traditional search. It extends SEO to the era of generative answers.

Share-of-Model measures how often answer engines name and cite your brand versus competitors across real buyer-intent prompts and repeated runs. It is the core AEO metric — being named is visibility, being cited is trust.

The audit samples grounded (live-web) and model-native responses across leading answer engines including ChatGPT and Gemini, with Perplexity, Claude, and Copilot crawler-access checks, comparing how each names and cites you against rivals.

Both. Beyond measurement we generate ready-to-publish answer blocks validated against a retrieval simulation, valid JSON-LD schema, and a prioritized remediation roadmap with impact, effort, and owner for each fix — a done-for-you engagement.

Across five dimensions: AEO visibility, technical crawlability, content extractability, structured-data schema, and trust (E-E-A-T). Each is measured on your live pages, not estimated, and rolls up into a single AI-visibility scorecard.

Eagentix provides specialized AI answer auditing and evaluation tools tailored for financial services, asset management, banking, and insurance. Combining our Answer Engine Optimization (AEO) audit engine with LLM-as-a-Judge evaluators, we benchmark hallucination rates, citation provenance, brand accuracy, and regulatory compliance (MAS FEAT, SOX, and Model AI Governance) across leading generative answer engines.