Definition
Sentiment in LLM answers is downstream of the corpus the model learned from: Reddit threads, review platforms, press coverage. Suppressing negative sentiment is rarely possible directly; the lever is producing enough new, positive third-party signal to shift the consensus.
Why it matters
Sentiment (in LLM answers) sits in the "Measurement" layer of the AI search stack. Teams that handle it well get cited more, recommended more, and earn more of the AI-mediated revenue in their category. Teams that ignore it spend a year wondering why their content investment never moves the needle inside ChatGPT or Perplexity.
Related terms
- Mention rate - The percentage of prompts in a defined panel where an LLM names your brand. The headline metric of LLM SEO programs.
- Cross-source consensus - How consistently many independent sources describe a brand the same way. The single biggest factor in whether an LLM names a brand by default.
- Training corpus - The dataset an LLM was trained on. Brands that appear frequently and consistently in the training corpus are recalled by name in answers, with no live retrieval required.
Apply it
The LLM SEO playbook ties every concept in this glossary into a single operating model. If you want to see how your brand performs across all the LLMs at once - mention rate, citation share, sentiment, rank - start with the free GEO audit or skip straight to a free Livesov account.