LLMO — Large Language Model Optimization. The discipline of getting your brand found, cited, and recommended by LLMs: ChatGPT, Gemini, Perplexity, Claude. When users stop scrolling Google results and start trusting AI answers, your brand must be there.
SEO optimises for traditional search engines. LLMO optimises for Large Language Models. The two are separating fast.
When a user asks ChatGPT «what's the best software for X?», the LLM answers by citing a few brands. Being or not being in that answer changes the business. This is LLMO.
The techniques differ from classical SEO. You need content structured to be parsed by models. You need authoritative cross-citations. You need a brand identity the model can recognise as a source.
I wrote the first Italian-language book on the topic. I apply it in advisory engagements for brands wanting to claim the new discoverability paradigm.
We analyse how current LLMs already answer questions in your sector. Are you in the conversation? Are you cited?
We define target queries, comparison brands, required content, priority platforms.
We produce and structure content to be LLM-friendly. Schema, citations, authority.
We monitor over time how brand presence in LLMs evolves. Iterate.
The first Italian-language manual on Large Language Model Optimization. Operational frameworks, real examples, implementation checklists.