Core concepts
How does brand sentiment in AI work?
Brand sentiment in AI, or artificial intelligence, works by interpreting the positive, negative or neutral language surrounding a brand in generated answers.
Sentiment concerns tone and evaluation. It differs from whether the answer recommends a brand for the user's particular task.
Mixed language needs context. A positive description can accompany a warning that a service is unsuitable for a specific need.
In Seenford
Seenford measures brand sentiment in AI through contextual tier verdicts, including Named with caution, with each verdict linked to an exact sentence.
Example
An answer praises a service's features but warns that it lacks local coverage.
Related terms
Updated
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