The AI Analysis feature in BrandMentions reads your mentions and analytics charts, then turns them into clear insights in a few seconds. To get real value, you need to know what those insights mean and what to do next.
Think of AI Analysis as a tool that gives you the “what”. You use your experience and knowledge of your brand to decide “why this matters” and “what we should do now”.
Main types of AI Analysis insights and how to use them
AI Analysis usually highlights four core areas:
Key themes and topics of conversation
Sentiment drivers
Spikes and anomalies
Top influencers and sources
Below is how to read each of them and turn them into action.
1. Key themes and topics of conversation
AI Analysis lists the main themes and topics people talk about in your mentions. Examples:
New product launch
Customer support experience
Pricing or discounts
Specific features or use cases
How to interpret
Ask yourself:
What are people most focused on right now?
Are they talking more about product, service, price, or brand image?
Does this match what you expected from your campaigns or roadmap?
What to do
Use top themes to shape your content strategy
Create posts, blog content, and emails around what people already care about.
Use recurring pain points to improve product and customer service.
Use positive themes as proof points in marketing materials.
2. Sentiment drivers
AI Analysis shows what drives positive sentiment and what drives negative sentiment. For example:
Positive: fast support replies, product quality, ease of use
Negative: delivery delays, bugs, confusing onboarding
How to interpret
Ask:
Which specific features, processes, or policies create happiness?
Which ones are linked to frustration or complaints?
Are there new issues that did not appear before?
What to do
Double down on what works
Highlight strengths in campaigns and landing pages.
Encourage teams to keep doing what customers love.
Fix what hurts sentiment
Share findings with product, support, or operations.
Create action items, for example: improve shipping info, clarify pricing, update onboarding.
3. Spikes and anomalies
AI Analysis often flags sudden spikes in mentions or sharp changes in sentiment.
Examples:
A big increase in mentions on a specific date
A short period with much more negative sentiment
An unusual drop in overall conversation
How to interpret
Ask:
Did we launch something, or did something unexpected happen?
Is this spike linked to a campaign, a news article, a viral post, or a crisis?
Is the change limited to one channel or region, or is it global?
What to do
Investigate immediately
Click through to the mentions behind the spike.
Identify the main posts, news, or influencers.
If it is positive, amplify the momentum
Engage with posts, share coverage, extend the campaign.
If it is negative, act quickly to reduce risk
Respond, clarify, or fix the issue.
Prepare internal and external communication if needed.
4. Top influencers and sources
AI Analysis highlights the accounts, authors, or websites that drive most of the conversation about your brand.
Examples:
A journalist who writes often about your industry
A social media creator whose posts get high engagement
A forum or review site where your brand is frequently discussed
How to interpret
Ask:
Who shapes the conversation about our brand the most?
Are these allies, critics, or neutral observers?
Which channels are most important for our reputation?
What to do
Build relationships with key influencers and sources
Follow, engage, or reach out for collaboration.
Monitor high impact sources closely
Stay aware of future posts that may affect your brand.
Use this list to prioritize outreach and PR efforts.
By combining AI Analysis with your own expertise, you can turn raw mentions into clear next steps and build a stronger, more data driven brand.