Sentiment
Understand how AI platforms portray your brand with theme-based sentiment analysis across AI responses.
The Sentiment tab provides deep analysis of how AI search platforms talk about your brand. Rather than just tracking whether you're mentioned, Sentiment reveals what AI engines say about you and whether it's positive, negative, or neutral — broken down by automatically extracted themes.
Core Metric
Sentiment Score
Positive mentions plus half of neutral mentions, divided by total brand mentions (0-100). Higher values indicate more favorable sentiment in how AI platforms portray your brand.
Sentiment scores are color-coded throughout the tab:
60-100
Positive
Green
40-59
Neutral
Gray
0-39
Negative
Red
How Themes Work
AirOps automatically extracts recurring themes from AI-generated answers that mention your brand. Themes are short descriptors (2-3 words) representing topics that AI engines consistently associate with your brand — such as "customer support", "pricing flexibility", or "product reliability".
Themes are extracted using a multi-stage AI analysis of your answer data and are refined over time as new data comes in.
Sentiment Score Time Series
Track how your sentiment score trends over time with four views:
Overall
View your aggregate sentiment score trend across all platforms, topics, and themes. Track whether sentiment is improving, stable, or declining.
By Topic
Break down sentiment score by topic cluster. Identify which topics drive the most positive or negative sentiment and track shifts over time.
By Platform
Compare sentiment scores across AI answer engines (ChatGPT, Gemini, Perplexity, Google AI Mode, Google AI Overviews). Understand which platforms portray your brand most favorably.
By Theme
View sentiment score trends for individual themes over time. Track whether specific aspects of your brand perception are improving or declining.
Sentiment Treemap
The treemap provides a visual overview of all your sentiment themes at a glance:
Tile size represents how frequently the theme appears (occurrences)
Tile color ranges from pink (negative sentiment) to teal (positive sentiment)
Hover over any tile to see the theme name, sentiment score, and a breakdown of positive, negative, and neutral counts.
Use the sentiment filter to focus on All Sentiments, Positive, or Negative themes.
Sentiment Themes Table
The themes table provides a detailed breakdown of each extracted theme with the following columns:
Theme
The name of the extracted theme
Sentiment Score
The theme's sentiment score (0-100), color-coded by sentiment level
Volume
Percentage of total theme occurrences this theme represents
Occurrences
Total number of times this theme appears across answers
Filtering by Sentiment
Use the sentiment dropdown to filter themes by All Sentiment, Positive (score >= 60), or Negative (score < 40).
Drill-Down to Answers
Expand any theme row to see the individual AI-generated answers that contributed to that theme's sentiment. Each answer row shows:
Provider — which AI platform generated the answer
Date — when the answer was captured
Answer text — a snippet of the AI-generated response
Click on any answer to open a detail panel with the full answer content. For positive and negative answers, the panel also shows a plain-language explanation of why the answer received that classification.
Sentiment explanations apply to individual answers. They are not combined into a theme-level driver.
Filters
All charts and metrics on this page can be filtered by:
Date Range: Select a time period for your analysis
Region: Filter by geographic region
Prompt Type: Category-related (general prompts) vs Brand-related (prompts mentioning your brand directly)
Topic: Filter by topic clusters
Platform: Filter by specific AI answer engine
Persona: Filter by audience persona
Last updated
Was this helpful?