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How Can I Validate and Double-Check AI Insights?

Updated over a month ago

BrandMentions AI insights are a great shortcut for understanding your data, but they should be treated as a starting point, not a final answer.

A simple rule works best: trust, but verify.


Use AI to find patterns quickly, then confirm those patterns with your own checks.

Techniques to validate AI insights in BrandMentions

1. Drill down into the underlying mentions

What to do

  • When AI says something like “negative sentiment spiked last week”:

    • Click through to the mentions that support this insight.

    • Read several examples from different sources and channels.

2. Look for corroborating evidence

What to do

  • Do not rely on a single insight in isolation.

  • Check other parts of BrandMentions, for example:

    • Analytics charts for mentions over time or sentiment over time

    • Source breakdowns or location reports

3. Use your own contextual knowledge

What to do

Ask yourself:

  • Does this insight make sense given what I know about:

    • Recent campaigns or launches

    • Product changes

    • News, seasonality, or events in my industry

  • Is there any obvious reason the AI might be confused, for example similar brand names or mixed languages?

4. Ask the AI follow up questions

What to do

Use the AI Assistant to challenge or clarify its own claims:

  • “Can you show me sample mentions that support this conclusion?”

  • “Which channels contribute most to this spike?”

  • “Split this insight by country or source.”

5. Compare with standard analytics

What to do

  • Compare AI insights with your standard analytics dashboard:

    • Mentions volume

    • Sentiment scores

    • Share of voice

    • Channel or location breakdowns

Why validation matters

Making validation part of your workflow helps you:

  • Ensure accuracy
    AI is usually very good, but it can still misread context, sarcasm, or edge cases.

  • Understand context
    AI highlights patterns. Only you can fully understand how they fit into your brand, campaigns, and market.

  • Build trust in the tool
    The more often you validate, the better you learn where AI shines and where you need extra care.

By regularly drilling into data, cross checking with analytics, and using your own judgment, you create a healthy trust, but verify loop.

This leads to:

  • More reliable decisions

  • Stronger strategies

  • Greater confidence in both your data and your use of AI inside BrandMentions.

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