Manage Your Brand's Reputation in AI (Platform: Measure & Improve Your AI Search Performance)
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This lesson is a deep dive into Sentiment Analysis. You'll learn a complete diagnostic workflow to monitor brand health, pinpoint the source of negative narratives, and find positive stories to amplify, allowing you to proactively shape your brand narrative in AI.
Topics include:
Monitoring your brand health with the Sentiment Score
Diagnosing the "why" behind trends with Sentiment Categories
Identifying the "who" with the Sentiment Sources table
Using the Explore modal to see specific statements and a word cloud
Step-by-step
Here are the steps we cover in the video, with relevant links to more information. Be sure to watch to get more context and decision support for potential choices you might have to make as you go:
Go to the Overview tab in AI Search Performance ↗️ (Performance > AI Search > Overview).
Review the Brand Sentiment Over Time chart to monitor your overall Sentiment Score.
Filter the chart by Sentiment Category (e.g., Price, Quality) to diagnose the reason for any trends.
Use the Sentiment Sources table to identify the top domains influencing the conversation for that category.
Click the Explore button on the Sentiment Sources table to view the word cloud and individual statements driving the sentiment.
Use these insights to inform your PR, content, and marketing strategies.
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