How is sentiment scored?

Per mention, in the context of the surrounding sentences, and attached to the prompt that produced it. Scores are also computed for tracked competitors on the same prompts, so you can read your position relative to theirs rather than in isolation.

What do I do about negative sentiment?

Find what the engine read. Assistants rarely invent a criticism; they repeat one from a source they trust: a review site, a forum thread, a comparison page. Citation tracking names those sources, and fixing the framing there is what changes the answer.

AI Brand Sentiment Analysis

Understand how AI systems perceive and present your brand with advanced sentiment analysis.

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Being named is not the same as being recommended. An assistant can mention your brand and frame it as the expensive option, the one with the dated interface, or the one buyers outgrow, and that framing reaches the buyer intact. Sentiment analysis measures what the answer actually says about you.

Sentiment

Whether the language around your brand in an answer is positive, neutral or negative, scored per mention rather than per page. The same brand can be described warmly on one prompt and dismissively on another; an average across your whole account hides the prompts that are costing you deals.

How Refine measures it

Scored in context

The sentence that names you is read together with the ones around it. "Cheaper than the alternatives" reads differently in a paragraph about value than in one about cutting corners.

Tied to the prompt

Every score is attached to the buying question that produced it, so negative sentiment points at a specific conversation rather than a vague reputation problem.

Compared against competitors

The same prompts are scored for the brands you track against, which turns sentiment from an abstract number into a relative position.

What teams do with it

Trace a bad framing to its source

When an assistant repeats an unflattering claim, it usually read it somewhere. Citation tracking shows which pages fed the answer, which is where the correction has to happen.

Spot a narrative before it spreads

Engines converge on the same framings once enough sources agree. Catching a negative pattern while it sits on one prompt is far cheaper than after it has settled across ten.

Brief PR with something specific

Instead of "our reputation in AI is poor", you can say which question produces which sentence, on which engine, since when.

Where this metric misleads

Sentiment is a model reading a model, and edge cases exist: irony, hedged comparisons and faint praise are genuinely hard. Treat a single score as a pointer to read the answer yourself, not as a verdict.

Key Benefits

Positive/negative/neutral classification

Contextual sentiment scoring

Sentiment trend tracking

Competitor sentiment comparison

Who Uses Sentiment Analysis?

PR teams

Brand managers

Reputation managers

How It Works

Connect your brand

Set up your brand profile and connect your domain to Refine AI.

Configure tracking

Enable Sentiment Analysis for your selected AI platforms.

View insights

Access real-time sentiment analysis data on your dashboard.

Take action

Use the insights to optimize your AI search presence.

Sentiment Analysis: frequently asked questions

How is sentiment scored?: Per mention, in the context of the surrounding sentences, and attached to the prompt that produced it. Scores are also computed for tracked competitors on the same prompts, so you can read your position relative to theirs rather than in isolation.
What do I do about negative sentiment?: Find what the engine read. Assistants rarely invent a criticism; they repeat one from a source they trust: a review site, a forum thread, a comparison page. Citation tracking names those sources, and fixing the framing there is what changes the answer.