AI generated summaries and analyses in BrandMentions are designed to be very helpful and usually very accurate.
However, no AI is perfect. The AI Assistant and AI Analysis should be treated as smart helpers, not as a final source of truth. The best results come when you combine AI insights with your own expertise.
What affects accuracy?
1. Your data quality and volume
More relevant mentions usually mean more reliable insights.
Very niche topics or low volumes can make patterns harder to detect.
2. Conversation nuance
AI is strong at broad themes and sentiment.
It can struggle with sarcasm, irony, local slang, or subtle cultural context.
3. How you ask your questions
Specific questions give more accurate answers.
Vague or broad questions often lead to generic results.
4. AI limitations
AI uses patterns and probabilities, not certainty.
There will always be edge cases it does not interpret correctly.
Best practices to use AI insights safely
1. Trust, but verify
Treat AI summaries as a starting point.
Always double check important insights by looking at the underlying mentions or charts.
2. Be specific in your prompts
Include topic, time frame, and context when possible, for example:
"Summarize negative sentiment about our delivery service in the last 30 days."
3. Give feedback
If something looks wrong or off topic, use feedback options when available.
This helps improve accuracy over time.
4. Combine AI with human insight
Let AI handle the heavy reading and pattern detection.
Use your expertise to interpret, prioritize, and decide what to do next.
Used this way, AI gives you a faster, clearer view of your data, while your decisions stay grounded in human judgment and context.