GEO·AEOMetricsUpdated 2026.04.28

AI Sentiment

Also known asAI 문맥 감성Sentiment of AI Mentions

In one line

AI Sentiment captures the tone — positive, neutral, negative — of the passages where your brand appears inside AI answers, used to adjust raw citation numbers.

Going deeper

AI Sentiment fills in what raw citation counts cannot show. A single mention as 'a recommended solution' is not the same asset as a single mention as 'an option with drawbacks' — so the tone of the surrounding passage gets classified alongside the count.

It is especially useful as an early-warning signal. If citation rate holds steady but the negative share suddenly climbs, it usually means a bad fact has settled into the model or negative coverage has accumulated on external sources.

Measurement typically uses an LLM to classify the snippets, often with a human review pass. Automatic classification is noisy enough that for priority keywords and personas it pays to keep a human in the loop on the sentiment labels.

Related terms

How does your brand show up in AI answers?

Villion measures how your brand appears across ChatGPT, Perplexity and AI Overviews, then automates the work that lifts citation rate and share of voice.

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