Sentiment Tuning
The strategy of improving third-party reviews and press to change how AI systems describe your brand in generated answers.
Plain Language Definition
Sentiment tuning is the strategy of getting positive reviews, accurate press coverage, and authoritative third-party mentions published across the web so AI tools summarize your business favorably. Because AI systems aggregate their brand perceptions from everything written about you on the web, improving what is written changes how AI describes you. It is reputation management conducted specifically for AI audience.
Technical Definition
Systematic optimization of third-party platform narrative content, structured data sources, and press coverage for LLM contextual association quality — targeting the external content corpus from which AI models derive brand sentiment attributions during training and retrieval.
Why This Matters for AI Search Visibility
AI-generated sentiment cannot be directly edited — it reflects the aggregate tone of everything the AI has read about your brand. The only way to improve AI brand sentiment is to improve the real-world third-party content that AI systems learn from. Sentiment tuning is the proactive reputation management strategy for the AI era.