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?

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