AI Sentiment

How does AI talk about your brand and products?

Visibility is not enough. Sentiment shows the picture AI uses when it recommends you — and which product attributes actually matter in that advice.

Brand Sentiment: external perception by dimension with positive and critical mentions

Features

Two angles: brand and product.

Brand Sentiment is about reputation. Product Sentiment reads GEO answers: which criteria are purchase-relevant, and who is recommended for them?

Feature 1

Brand Sentiment

Prompts go to the AI systems, then the readout: positive, neutral and critical statements, dimensions such as trust or quality, critique items to work through — and the sources AI relies on.

External perception by dimension: quality, positioning, risk, trust

Feature 2

Product Sentiment

Based on a finished GEO analysis: which attributes does AI treat as decisive, and which brands does it recommend for them? Radar and table — useful for sharpening product messaging.

Radar chart of brand attributes from Product Sentiment

Why it matters

Steer reputation and offering more clearly.

You are not chasing a vague “AI image”, but concrete statements, sources and buying criteria.

1

Prioritize criticism

Instead of isolated quotes you see recurring critique. That helps PR, content and product focus in the right places.

2

Address sources

When AI leans on specific domains, you know where reputation is made — and where pushback comes from.

3

Position products

Product Sentiment shows which attributes count in AI advice. Align copy, FAQs and comparison pages with that.

Sentiment FAQ

Brand Sentiment asks: how does AI talk about a brand? Product Sentiment asks: which attributes are treated as purchase-relevant, and which brand is recommended for them?

Use Sentiment on the Pro plan

Brand and Product Sentiment are part of the suite. Start Pro and analyze how AI talks about you.

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