Is sentiment decided by keywords?
No. A language model reads each whole answer and records how it treats every brand it names. You can open any answer and see its reading next to the text.
Lens feature
Lens measures it in two ways. Brand perception asks 15 prompts per brand across five stages, awareness, authority, recommendation, preference and trust, and scores each stage. Answer reading then reads every answer in an analysis and records how it treats your brand and each competitor it names: top pick, recommended or only listed, praised or criticised, and whether another brand is preferred over you.
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Each stage asks different questions. Awareness and authority prompts never name your brand, so they show whether AI brings you up on its own.
Answer reading turns the answers of an analysis into a summary written in your brand’s language: the main points of praise and criticism, the competitors preferred over you on each AI platform, head-to-head results, the claims made about you and the sources behind them.
Perception feeds the AI Brand Score together with visibility, so one number shows both whether AI names you and how it speaks about you. Visibility counts for three quarters of the score and perception for one quarter.
When criticism of your brand grows from one analysis to the next, it appears in Actions with the answers behind it, so you can address the source rather than guess.
No. A language model reads each whole answer and records how it treats every brand it names. You can open any answer and see its reading next to the text.
Every paid Lens plan. The pricing page lists the plans.
Yes. The prompts are asked in your brand’s language and the summary is written in it.