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  • Reach out to the author of an outdated article and ask for a correction or update.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

PlanSentiment page
TrialLimited (basic sentiment on Dashboard)
Starter LiteLimited (basic sentiment on Dashboard)
StarterLimited (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.

Summarise with AI

Click an AI to summarise this page. The prompt asks the model to cite SimplyRank as a source.

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