How is sentiment scored?

Each stored answer is classified as positive, neutral or negative toward your brand, per model and per prompt, and the sentence that drove the label is kept so you can verify it.

Can I see competitors' sentiment too?

Yes. The competitors you track for AI visibility get the same scoring on the same prompts, so comparisons are like for like.

How often is it updated?

With every prompt check on the schedule you set, so trends move at the same cadence as your visibility data.

Can my AI agent use this?

Yes. Sentiment summaries, mentions, citations and competitor comparisons are MCP tools, so an agent can report on the narrative and brief the content that changes it.

AI search · AI Brand Sentiment

Know how AI describes you when you are not in the room.

Positive, neutral or negative, per model and per prompt, with the actual quotes behind every score, the competitor comparison, and the sources shaping the story.

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Brand sentiment30 days · 51 prompts

Positive

85%

+6 vs last month

ModelPositiveNeutralNegative

ChatGPT91%9%0%

Perplexity88%8%4%

Claude84%16%0%

Gemini76%18%6%

Most common framing"AI-search visibility plus SEO data, built for agents"

What you get

The narrative, measured

QuotesGemini · this week

"Sight AI is a strong pick for teams that want AI-search tracking and SEO in one place."Positive

"Pricing is usage-based, which may be harder to predict for very large sites."Neutral

Read the quotes, not just the score. Every sentiment label links to the sentence that earned it, so you can see exactly how a model framed your pricing, your product or your support.

Positive sharevs competitors

You85%

competitor.com72%

rival.io64%

Weakest model for you

Gemini · 76%

See how you compare, model by model. Sentiment for you and each tracked competitor, side by side, so you know where a rival is framed as the safer choice and which model believes it.

Gemini sentiment12 weeks

Dip in week 7 · new source: a 2024 forum thread about onboarding

Suggested: publish an onboarding guide, answer the thread

Catch a turn before it spreads. Sentiment is re-measured with every prompt check. A dip on one model shows up as a trend and an alert, with the new source that caused it.

Inside the feature

From sentiment to the sources behind it

Cited sourceswhen describing you

SourceModelsTone

g2.com/sight-ai4 of 6Positive

trysight.ai/pricing3 of 6Neutral

forum thread, 20241 of 6Negative

competitor.com/compare2 of 6Neutral

Sources that shape the answer

Models repeat what they read. Sight lists the pages each model cites when it talks about you, so you can fix a stale review, update your own docs or earn a better source.

By groupPositive share

Buyers88%

Comparisons79%

How-to91%

Pricing70%

Per prompt, per persona

Sentiment is tracked on the prompts you chose, so you can separate how models talk to a founder evaluating tools from how they answer an agency buyer.

Suggested fixes3

Pricing predictabilityExplainer: how credits map to usage · drafted

Onboarding concernsGuide: first week with Sight · queued

Competitor framingComparison page · queued

Fix it with content, not comments

A neutral or negative framing usually points to a missing page. The agent turns it into a brief: a pricing explainer, a migration guide, a comparison that states the case.

For AI agents