Queries are the foundation of your monitoring in MentionLab. Each query is a question sent to AI platforms to observe how they respond. Tags help you organize queries into meaningful groups for analysis.
Managing queries
Creating queries
Navigate to Project Settings → Queries to manage your query list. You can add queries in several ways:
- Manual entry — Type individual questions that represent how your customers search for products in your category
- AI suggestions — During project setup, MentionLab analyzes your website and proposes relevant queries
- Import from file — Upload a CSV or Excel file with pre-written queries
Write queries from your customer’s perspective. Instead of “Is Acme good?”, try “What is the best project management tool for remote teams?” — this is how real users ask AI platforms.
Query properties
Each query has the following properties:
| Property | Description |
|---|
| Text | The question or prompt sent to AI models |
| Language | The language the query is written in |
| Country | The country context for the query |
| Tags | One or more tags for categorization |
Bulk operations
From the queries settings page, you can:
- Add or remove tags from multiple queries at once
- Launch an analysis for your queries
- Export queries to CSV for backup or sharing
- Delete queries in bulk
Deleting a query also removes its historical results.
Understanding query results
On the Queries page, each query displays key metrics:
| Metric | Description |
|---|
| Mention Rate % | Percentage of AI responses that mentioned your brand for this query |
| Average Position | Where your brand ranks in responses for this query (lower is better) |
| Sentiment Score | Average sentiment score across responses (0–100) |
| Source Rate % | Percentage of responses that included source citations |
- Metric cards (total responses, mention rate, avg sentiment, source rate, shopping rate)
- Top sources and sources by model
- Response history with full AI response text, entity badges, and source links
- Entities mentioned table
Navigate to Project Settings → Tags to create and manage tags. Each tag has:
- Name — A descriptive label (e.g.,
Pricing, Features, Use Cases)
- Color — A visual identifier for the tag
Tags unlock powerful segmentation across MentionLab:
- Dashboard — The tags summary and tag-brand matrix show performance per tag group
- Tags analysis page — Dedicated view of share of voice, top brands, and top sources per tag
- Filters — Filter any analysis page to show only queries with specific tags
Create tags that align with your business objectives. For example: product categories, customer personas, purchase intent stages, or geographic markets.
Tag filtering modes
When filtering by tags, you can choose between two modes:
- OR mode — Shows results for queries matching any of the selected tags
- AND mode — Shows results for queries matching all of the selected tags
Response tags are different from query tags. While query tags categorize the questions you ask, response tags categorize the AI-generated answers you receive.
You can manage response tags from Project Settings → Response Tags and apply them to individual responses from Project Settings → Response Tagging. This is useful for:
- Categorizing response types (e.g., “recommends us”, “mentions competitor only”)
- Tracking specific response patterns over time
Response tags can also be used as filters on your analysis pages, just like query tags.
