Overview
Queries define the search terms you want to monitor across AI platforms. Each query represents a specific phrase or question that AI assistants might receive from users.Query Properties
| Property | Type | Description |
|---|---|---|
id | string (UUID) | Unique identifier |
query | string | The search term or question |
language | string | ISO 639-1 language code |
country | string | ISO 3166-1 alpha-2 country code |
project | string (UUID) | Parent project ID |
tags | number[] | Associated tag IDs |
Creating Queries
Single Query
Multiple Queries
Create many queries at once for efficiency:Listing Queries
Retrieve queries with filtering and pagination:Language and Country Codes
Language Codes
Language codes follow the ISO 639-1 standard, using two-letter lowercase codes (e.g.,en for English, fr for French, de for German).
Country Codes
Country codes follow the ISO 3166-1 alpha-2 standard, using two-letter uppercase codes (e.g.,US for United States, GB for United Kingdom, FR for France).
Query Best Practices
Be specific
Be specific
Specific queries yield more relevant results:✅ “best enterprise CRM software for sales teams 2024”❌ “CRM”
Use natural language
Use natural language
Frame queries as users would ask AI assistants:✅ “What are the best alternatives to Salesforce?”❌ “salesforce alternatives list”
Include context
Include context
Add relevant context to your queries:✅ “best project management tools for remote teams”❌ “project management tools”
Cover variations
Cover variations
Create multiple queries for different phrasings:
- “best CRM software”
- “top CRM tools”
- “which CRM should I use”
- “CRM recommendations”