GenAI Brand Recognition Classifier

The GenAI Brand Recognition Classifier identifies and tracks brand mentions within content. This model efficiently detects brand names, providing valuable insights into brand visibility and reach. Optimized for real-time and batch processing, it's a powerful tool for monitoring brand presence, engagement, and trends at scale. Powered by Google Gemini 2.5 Flash Lite, this component analyzes content to extract brand mentions presented as a list.

Adding to your Dynamic Pipeline

This component can be added to your Dynamic pipelines through the "GenAI Brand Recognition Classifier" component. It requires the following fields for configuration:

Destination Path (Required)

The "enrichment.brands" field holds the output from the GenAI Brand Recognition Classifier. You can map it to another field or create a new one. This field contains recognized brand names in an array format.

Target Text (Required)

The metadata field containing the input text for brand recognition. By default, this is set to content.body, but any field containing relevant text can be used.

Safety Notice

If the Gemini Model encounters safety issues with certain content, the API may fail to generate output.

Compatible Data Sources

As a Post-Processing operation, it can be run on any data source containing text content, including:

• Social media content
• News articles
• Blogs
• Forums
• Reviews

Sample Output

The classifier adds a new metadata section within the "Enrichment" section containing an array of detected brand names:

"enrichment": {
    "brands": [
        "Nike",
        "Apple",
        "Coca-Cola"
    ]
}

Compatible Languages

Currently, the GenAI Brand Recognition Classifier supports content in English only. As languages other than English are tested and improved, they will be added incrementally.