When people stop searching, they start asking.
LLMO is the discipline of getting a brand found, cited and recommended by language models: ChatGPT, Gemini, Perplexity, Claude.
§ 01
LLMO, briefly.
SEO optimises for traditional search engines; LLMO optimises for the Large Language Models that answer people’s questions directly.
When a user asks an AI assistant which provider to choose, the answer names a few brands. Being in that answer shapes purchasing decisions.
The techniques call for content structured for models, authoritative cross-citations and a consistent brand identity that the model recognises as a source.
- Structured content and consistent schema data
- Authoritative third-party sources citing the brand
- Entity identity aligned across channels
- Ongoing monitoring of model answers
§ 02
LLMO programmes for enterprises.
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LLMO audit
How models answer questions about your sector today: presence, citations, competitors mentioned.
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Strategy
Target questions, comparison brands, required content and priority platforms.
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Execution
Content produced and structured for models: schema, citations, authority.
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Measure
Periodic tracking of brand presence in model answers and review of priorities.
§ 03
The book on the subject.
«Fatti trovare da ChatGPT», written with Filippo Fassone and published in Italian in 2025, collects operational frameworks and implementation checklists.
§ 04
Where to continue.
- AI Strategy The four domains of the work: Enterprise AI, Generative AI, Agentic AI and AI Governance.
- AIO Artificial intelligence brought into operational processes, from pilot to production.
- Method Listen, map, execute, measure: the four phases of every programme.
- Contact Email, operations office phone and audit call booking.