Know how AI describes your brand, not just whether it mentions you.
Seerly analyses the tone, themes, and emotional framing AI engines apply to your brand across every tracked prompt, so you can act on perception, not just presence.
Current Sentiment Share
Snapshot across tracked AI providers
77%
positive
- Positive77%
- Neutral20%
- Negative0%
- Mixed3%
Sentiment trend
Positive lift continues week-over-week
Top drivers this week
What AI models reference most frequently
Comfort for Daily Runs
Positive100% positive · 0% negative · 0% neutral
8 citations mention volume
Cushioning & Impact Protection
Positive86% positive · 0% negative · 14% neutral
7 citations mention volume
Durability Over Mileage
Positive100% positive · 0% negative · 0% neutral
5 citations mention volume
Prompt-level Detail
Read verbatim what every AI engine said about your brand
Drill into any tracked prompt to see the full AI response, the sentiment score it received, which engine returned it, and what sources it cited run by run.
Per-run history
Compare how sentiment shifted across the same prompt over days and weeks.
Verbatim response text
Read exactly what ChatGPT, Perplexity, or Gemini said, with mentions highlighted.
Citation source tracking
See which URLs each engine cited alongside its sentiment-scored response.
Tracked prompt
Which Nike running shoes are most comfortable for daily training and long-distance runs?
Overall Sentiment
Positive
Sentiment Score
1.00
Impact
High
| Date | Response | Sentiment | LLM |
|---|---|---|---|
| Mar 23 | Runners describe Nike daily trainers as comfortable and reliable for easy miles... | Positive | Perplexity |
| Mar 23 | Most responses praise cushioning and fit consistency across long-distance runs... | Positive | ChatGPT |
| Mar 17 | Some runs mention mixed opinions on value vs price compared with competitors... | Neutral | Perplexity |
| Mar 13 | In trail-focused prompts, brand perception remains mostly favorable overall... | Positive | Google AI |
| Aspect | Mentions | Sentiment | Channels |
|---|---|---|---|
Comfort Across Daily Mileage Consistent mentions of all-day wear comfort | 28 | Positive | Product Page · Marketplace · Reviews |
Fit & Sizing Confidence Sizing guidance and true-to-size consistency | 27 | Positive | Product Page · Marketplace · Reference |
Cushioning for Long Runs Impact absorption and fatigue reduction called out | 24 | Positive | Product Page · Marketplace |
Material Breathability Mixed feedback in hot-weather usage | 7 | Mixed | Marketplace · Product Page |
Pricing Transparency Higher price perception vs competing models | 1 | Negative | Product Page |
Aspects & Themes
See exactly what AI is saying about your brand, theme by theme
Seerly breaks sentiment down into specific aspects extracted from citation analysis, so you know which parts of your product are driving positive perception, and which need attention.
Citation-backed themes
Every theme is sourced from real AI citations, not inferred.
Per-aspect sentiment bars
See the positive, neutral, and negative split for each theme at a glance.
Channel attribution
Know whether sentiment is coming from product pages, marketplaces, or references.
12+
Sentiment themes surfacedper brand automatically
+40%
Average positivesentiment improvement
5 engines
Sentiment scored independentlyper engine
10x
Faster identification ofnegative themes vs manual monitoring
Trusted by growing brands
See how businesses are turning AI search visibility into real customers
“Seerly completely changed the game for us! We started getting actual paid customers from AI traffic, and it happened so much faster than we expected. The platform showed us exactly where we were invisible to AI engines and gave us a clear playbook to fix it. Within weeks, the results were tangible. Honestly, it's been a game-changer for our growth.”
Frequently asked questions
Everything you need to know about Seerly sentiment intelligence
Ready to improve your
AI brand sentiment?
Track tone shifts, understand why sentiment changed, and act before negative narratives spread.