Skip to main content

How Can I Ask the AI Assistant to Summarize Mentions or Insights?

Updated over 2 months ago

The BrandMentions AI Assistant can quickly turn large volumes of mentions and complex analytics into short, clear summaries. Instead of reading every single mention, you can ask the Assistant to highlight the main themes, key issues, and important trends for you.

What can the AI Assistant summarize?

You can use the AI Assistant to summarize:

  • Recent mentions for a specific period

  • Sentiment drivers and emotional tone

  • Conversations about a specific event, campaign, or product

  • Analytics reports, charts, and dashboards

  • A narrow slice of your data, such as a channel, country, or topic

The key is to be clear about what you want summarized and for which time frame or context.

How to ask the AI Assistant for a summary

You always start in the chat interface. Type your request as a normal question or instruction.

Example prompts you can type

You can adapt these examples to your brand, timeframe, or campaign.

To summarize recent mentions

  • "Summarize the key themes from our mentions over the past week."

  • "Give me a summary of what people talked about regarding our brand in the last 30 days."

To summarize sentiment

  • "What are the main drivers of our positive sentiment this month?"

  • "Summarize the reasons behind negative sentiment for our brand in the last two weeks."

To summarize a specific topic or campaign

  • "Summarize the conversations around our new product launch."

  • "Give me a summary of mentions related to our Black Friday campaign."

To summarize a report or chart

  • "Can you summarize the key insights from our latest analytics report?"

  • "Give me a short summary of the main trends in our mentions chart for this quarter."

You can also combine criteria, for example:

  • "Summarize mentions about customer support in the last month."

  • "Summarize conversations about our pricing on social media in the past 7 days."

Using the Prompt Gallery for one click summaries

If you are not sure what to ask, you can use the Prompt Gallery. It includes many pre built prompts that generate summaries with a single click.

Look for prompts such as:

  • "What are the top 5 actions the brand should take?"

  • "What drives positive and negative sentiment?"

  • "Were there big spikes in mentions last month?"

You can run these prompts as they are, then refine with follow up questions if you need more detail.

Best practices for getting a good summary

A little extra clarity in your request can significantly improve the quality of the summary.

1. Be specific

Instead of:

"Give me a summary of our mentions."

Try:

"Give me a summary of mentions related to customer service in the last month."

Add filters when helpful, for example:

  • Timeframe: "last week", "past 30 days", "Q1", "yesterday"

  • Topic: "pricing", "delivery delays", "product X", "Black Friday campaign"

  • Channel: "Twitter", "Instagram", "news sites", "forums"

2. Provide context

If your question relates to a campaign, launch, or incident, mention it explicitly. For example:

  • "We launched our new mobile app on March 10. Summarize what people are saying about it in the first week after launch."

This helps the Assistant focus on the right part of your data.

3. Ask follow up questions

Think of the AI Assistant as a conversation, not a one time query. If the first answer is too high level or too short, ask follow ups such as:

  • "Can you elaborate on the first point?"

  • "Give me examples of negative mentions mentioned in the summary."

  • "Separate the summary into positive, negative, and neutral themes."

  • "Focus only on social media and summarize again."

Each follow up helps you zoom in on what matters most.

4. Use a natural, conversational tone

You do not need special syntax. Write as if you are speaking to a colleague:

  • "What should I know from last week's mentions in 3 bullet points?"

  • "Summarize this in plain language for a non technical stakeholder."

The AI Assistant is designed to understand everyday language.

You stay in control of the analysis, while AI handles the heavy reading and compresses the information for you.

Did this answer your question?