The BrandMentions AI Assistant is your built in, conversational research assistant. It helps you turn complex brand monitoring data into clear, easy to understand answers, without creating filters, exports, or custom reports.
You simply ask questions in natural language about:
Your brand
Your competitors
Your campaigns or products
Your market or industry conversations
The AI Assistant reads your BrandMentions data, finds what is relevant, and answers in plain, human friendly language.
How does the BrandMentions AI Assistant work?
Behind the scenes, the AI Assistant uses a Large Language Model (LLM) that has been trained on a very large collection of text and code. The BrandMentions team has fine tuned it to understand brand monitoring, sentiment, and social listening data.
Here is a simple breakdown of the process.
1. You ask a question
You start by typing a question in the chat, in natural language. For example:
"What are the top 5 actions our brand should take this month?"
"What drives our positive sentiment?"
"What are people complaining about most often?"
You do not need technical terms. Just write as you normally speak.
2. The AI Assistant understands your intent
The AI Assistant uses natural language understanding to interpret:
What you are asking
Which metrics or data sources might be relevant
Whether you want a summary, a list, a comparison, or an explanation
It focuses on your goal, not only on the exact words you used.
3. It queries your BrandMentions project data
Next, the AI Assistant looks into your project data inside BrandMentions:
Mentions
Sentiment and emotion signals
Trends and spikes
Influential sources and channels
It selects the data that can best answer your question.
4. It generates a clear, human like answer
The AI Assistant then uses its language generation abilities to:
Summarize the relevant data
Highlight the most important points
Provide context, explanations, and examples when useful
The result is a concise, easy to read answer that connects directly to your data.
5. It continues as a conversation
The AI Assistant is designed for ongoing conversation, not one off replies.
You can:
Ask follow up questions, for example:
"Can you tell me more about the first action?"
"Which channels contribute most to negative sentiment?"
Refine the scope, such as "Focus only on Instagram" or "Show me the last 7 days".
Drill deeper into any insight that looks interesting or unusual.
This conversational flow helps you explore your data step by step, just like you would in a live discussion with an analyst.
Key features of the BrandMentions AI Assistant
Here are the core capabilities that make the AI Assistant powerful and easy to use.
Natural language chat interface
You interact with the AI Assistant through a simple chat window:
Type questions in plain English or any other language
Avoid complex filters and advanced search syntax
Get answers that read like natural, human explanations
This lowers the barrier to working with data, for both beginners and advanced users.
Suggested prompts and Prompt Gallery
Not sure what to ask first? The AI Assistant helps you get started:
Suggested prompts appear based on common use cases
A Prompt Gallery with over 80 pre built prompts gives you one click insights
Examples of gallery prompts include:
"Summarize our brand performance this month"
"List the top 10 positive themes for our brand"
"Show key risks or issues in recent mentions"
You can use these as they are, or as inspiration for your own questions.
Multi language support
You can chat with the AI Assistant in any language. This means:
Teams in different regions can use the Assistant in their native language
You can ask questions that match the language of your audience and mentions
The experience is accessible and inclusive for global teams
Conversation history
The AI Assistant keeps a history of your conversations, so you can:
Scroll back to previous questions and answers
Revisit insights you found useful
Build on earlier questions instead of starting from scratch
This is especially helpful when you share context with teammates or prepare reports.
Why the AI Assistant is a game changer
By combining a chat interface with your BrandMentions data, the AI Assistant:
Reduces the time spent on manual data exploration
Makes insights more accessible to non technical users
Helps you move from "What is happening?" to "What should we do next?"
Supports faster, more confident, data informed decisions
For any data driven team, it turns brand monitoring into a more collaborative, interactive, and human friendly experience.







