How to measure sentiment in AI search responses about your brand in 2026

AI engines don't just decide whether to mention your brand — they decide how to talk about it. Here's how to classify, score, and fix the tone of AI answers about your company.

Key takeawaysAI brand sentiment measures the tone AI engines use when describing your brand — endorsement, neutral, cautious, negative, or hallucination — and it's a different signal from social listening. The standard metric is a Net Sentiment Score (NSS) from −100 to +100, but the raw number matters less than the trend and your position versus competitors.**Most of your AI sentiment is shaped by third-party sources the model cites, not your own website, so fixing bad sentiment means fixing or earning coverage on the pages AI actually reads.**Hallucinations (fabricated pricing, features, or controversies) need a separate remediation playbook from ordinary negative mentions.Don't use the same model to classify sentiment that you're auditing — use a different model or keep a human in the loop.## Why sentiment in AI answers is its own problemHere's something that took me a while to internalize: when someone asks ChatGPT

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