Understanding Sentiment Scores

Last updated: June 24, 2026

Sentiment tells you how AI engines describe your brand, not just whether they mention it. Because AI engines mirror the tone of the sources they cite, your sentiment score is a direct read on your reputation across the web. This article explains how to read it and when it becomes a problem.

What sentiment measures

Sentiment is the tone an AI engine uses when it talks about your brand: positive, neutral, mixed, or negative. The engine doesn't form an opinion. It synthesizes the language it finds across the sources it pulls from. If most sources describe you positively, the AI description is positive. If negative threads dominate, so does the description.

The thresholds

65% positive or above: healthy. AI engines describe you in favorable terms.
Between 55% and 65%: neutral. Watch it, but it's not a crisis.
Below 55% positive: reputation risk. This is a Sentiment Gap, and it can drag down your overall visibility because engines hesitate to recommend a brand they describe negatively.

How to investigate a low score

Sentiment in Rankscale is traceable. Click on any negative mention in the Sentiment tab to see the source feeding it. This matters because a sentiment problem is really a source problem, fix the sources and the score follows.

Look for recurring negative keywords, the same complaint appearing repeatedly (for example "slow setup," "expensive," "poor support"). A keyword that shows up more than three times in seven days is worth source-tracing immediately.

Two ways sentiment data helps beyond reputation

Sentiment isn't only a warning light. You can mine it to improve your content:

Pull competitor negatives. Filter by category and note the recurring negative keywords attached to competitors (congested network, capped speeds, complex setup). These are the complaints the market has.
Surface your countering positives. Where your brand genuinely addresses one of those complaints, write that into your content as a justification attribute. AI engines look to satisfy recurring market complaints, so a brand that demonstrably solves one tends to get cited.

When engines disagree

If one engine describes you positively and another negatively, you have a source conflict. The lower-scoring engine is pulling from a worse source pool. Check which domains it cites. That's where the negative material lives.

Do this now

Open the Sentiment tab. Note your positive percentage against the thresholds above. If it's below 55%, click into the negative mentions and write down the three highest-impact threads or domains feeding the score.

The 7 Core AI Visibility Metrics
Improving Brand Sentiment (Sentiment Gap)
Adding Justification Attributes
What Is a PR Gap?