Sentiment
The Sentiment page (Pro and above) shows how AI describes your brand — positive, neutral, or negative — across every scan result.
For the basics of how sentiment is calculated, see What SimplyRank measures.
What you see
The page has three main sections:
1. Sentiment breakdown
A donut chart showing your overall split:
- Positive — AI describes you favourably ("a leader in...", "well-regarded for...").
- Neutral — AI mentions you factually without endorsement ("options include..., among them...").
- Negative — AI describes you unfavourably ("users complain that..., concerns include...").
A healthy brand sits around 60–80% positive, 15–30% neutral, under 10% negative. Departures from that need attention.
2. Sentiment by AI model
The same breakdown split per model. Patterns to look for:
- Claude more negative than ChatGPT — Claude tends to surface critical sources (news, Reddit complaints). If Claude is dragging your sentiment, look for negative coverage.
- Perplexity more neutral than others — Perplexity is citation-heavy, so it often quotes review snippets verbatim. Neutral mentions there often reflect star ratings (3-star reviews) rather than narrative criticism.
3. Specific negative mentions
A list of the actual scan results that came back negative. Each links to the AI response, the prompt that triggered it, and the cited source (if any).
This is where you act. Read the actual responses. Patterns you'll find:
- A specific old review or news story being surfaced repeatedly.
- A specific complaint thread on Reddit.
- A factually-incorrect piece of content the AI is treating as authoritative.
How to act on negative sentiment
A few moves that work, in order of leverage:
1. Address the specific cited source
If AI keeps citing one negative review or article, the most direct fix is to engage with that source:
- Respond to the review publicly (most platforms allow it).
- Reach out to the author of an outdated article and ask for a correction or update.
- Earn fresher, positive citations to dilute the old ones.
2. Improve the volume of positive third-party signals
Sentiment is a ratio. If AI sees 2 positive and 3 negative mentions, you're at 40% positive. Add 5 more positive mentions and the ratio shifts. Tactics: refresh G2/Trustpilot listings, ask happy customers for reviews, pitch a positive feature story.
3. Audit your own site
Sometimes the negative signal originates on your own domain — old crisis communications, deprecated product pages, unflattering case studies. Audit, update, and remove.
4. Don't argue with AI
You can't directly tell AI to update its picture of you. The path is changing the underlying signals. Patience and consistency win.
Filters
- AI model — see which model is most positive or most negative.
- Category — sentiment by prompt category, useful for spotting that a specific service line has weaker sentiment than the rest.
- Date range — bounded by your plan's retention.
Plan availability
| Plan | Sentiment page |
|---|---|
| Trial | Limited (basic sentiment on Dashboard) |
| Starter Lite | Limited (basic sentiment on Dashboard) |
| Starter | Limited (basic sentiment on Dashboard) |
| Pro | ✅ Full Sentiment page |
| Advanced | ✅ Full Sentiment page |
| All Agency plans | ✅ Full Sentiment page |
Even on Trial, Starter Lite, and Starter, you'll see overall sentiment percentages on the Dashboard. The dedicated page with per-model and per-prompt drill-down is Pro+.
What's next
Still need help? Email us at [email protected]. Or browse all help articles.