Manage Your Brand's Reputation in AI
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
Transcript
You know that feeling when you walk away from a conversation and you can't help but wonder what are they really saying about me? In the world of AI, your brand story is being written every day. This isn't just about visibility. It's your customer perception mirror. It's time to look into it and take control of the narrative.
Our AEO strategist, Alicia, is on a new mission to become the guardian of her brand's reputation. She starts on the overview tab with the brand sentiment overtime chart. This is her reputation command center. She tracks the trend lines for positive and negative mentions, but her key metric is that sentiment score: a simple one to ten scale that instantly tells her how positive the conversation is.
She notices a recent dip in the score to diagnose “the why”, she filters the chart by sentiment category. Is the problem about quality? Service? She selects price and the chart updates to show a sharp increase in negative mentions for that category. That's the problem area. Now she knows the why.
She needs to find the who she moves to the sentiment sources table and filters for negative sentiments in the price category. The table instantly shows her top domains driving this negative pricing narrative. One review site is clearly the main culprit.
For the final piece of evidence, she clicks the Explore button. This is her proof. The word cloud is dominated by terms like pricier and premium. Below the table shows the individual statements the AI is pulling from each source. She's gone from a vague dip in a score to identifying the exact category, the top source, and the specific language driving the negative narrative.
Now she can take precise strategic action, first address misinformation at the source. Her PR team now has the specific source domain and the exact statements about price to conduct highly targeted outreach and provide correct information.
Second, create counter narrative content. Her content team can create a new blog post that explains the value and total cost of ownership using the language she discovered in the explore modal to inform the copy.
And third, amplify the positive. She can flip the filters to find the top sources for a strong category like quality to find positive third party quotes her marketing team can use as social proof.
And that's how you become the master of your own reputation and the age of AI. So what are the robots saying about you? Dive into your sentiment data to find out.
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.
Related Resources
- AI Search Performance Support Article
- AI Search Performance: Topic Details
- How to Setup AI Search
- AI Search FAQs
- AI Search Fundamentals Enablement Course