Turbine is an AI visibility platform for brands that want more than mention tracking. It helps teams understand why they do or do not appear in ChatGPT, Gemini, and Perplexity, then turn that insight into action.
Most AI visibility tools stop at reporting mentions. Turbine focuses on the underlying semantic logic of LLMs: how models interpret topics, which competitors they associate with a prompt, which sources they rely on, and what signals your brand is missing.
With Turbine, teams can track visibility across prompts and models, analyze cited sources, compare competitors, uncover semantic gaps, extract the key entities LLMs associate with a topic, and validate whether content is aligned with the prompts they want to win.
That makes Turbine especially useful for marketing, SEO, and content teams that want a more precise way to improve brand presence in AI search. Instead of guessing what to publish next, they can use data science, embeddings, and semantic analysis to build content and workflows that are more likely to be surfaced by LLMs.
In short, Turbine helps brands move from “Are we mentioned?” to “Why are we visible, why are competitors winning, and what exactly should we change?”
