An LLMO audit (Large Language Model Optimization) evaluates a brand's visibility in large language model responses like ChatGPT, Claude, Gemini and Perplexity. It's a synonym for GEO/AEO audit focused specifically on LLM optimization.
What is an LLMO Audit?
An LLMO audit (Large Language Model Optimization) analyzes a brand's visibility in large language model (LLM) responses. The term LLMO emphasizes optimization specifically for LLMs — the engines powering ChatGPT, Claude, Gemini and Perplexity.
An LLMO audit is functionally identical to a GEO audit or AEO audit. The choice of term varies by professionals and markets, but the goal remains the same: understanding and improving how AI presents your brand.
LLMO, GEO, AEO: Different Terms, Same Goal
The AI optimization industry uses several acronyms that essentially describe the same discipline:
- LLMO (Large Language Model Optimization) — Focused on language models
- GEO (Generative Engine Optimization) — Focused on generative engines
- AEO (Answer Engine Optimization) — Focused on answer engines
- AIO (AI Optimization) — Generic AI optimization term
- AISO (AI Search Optimization) — Focused on AI search
- GAIO (Generative AI Optimization) — Focused on generative AI
All these terms converge toward the same need: auditing and optimizing your presence in AI responses.
What Does an LLMO Audit Measure?
A comprehensive LLMO audit measures the same metrics as a GEO audit:
- Overall Visibility Score
- Mention Rate in LLM responses
- AI Share of Voice against competitors
- Sentiment Score in AI responses
- AI Average Position in responses
- Citation Rate
LLMO Audit with AI Labs Audit
AI Labs Audit performs a comprehensive LLMO audit by querying a wide selection of models from many providers. Whether you're looking for an LLMO audit, GEO audit or AEO audit, our platform covers all aspects of your AI visibility. Check our tutorial to get started.