LLM Scraper API from our AI Optimization API suite now automatically surfaces brand entities detected in ChatGPT responses. This update allows you to extract deeper insights from scraped content without additional parsing or post-processing.
What’s new
The brand_entities field is already available in your API responses within the result array, chat_gpt_text and chat_gpt_table elements. Each entity includes:
title– the name of the brand.category– classifies the entity category.markdown– a clean representation of the entity name in markdown format.urls– array of URLs and domains relevant to the brand.
Example array structure
{
"brand_entities": [
{
"type": "chat_gpt_brand_entity",
"title": "SEMrush",
"category": "software",
"markdown": "SEMrush",
"urls": null
},
{
"type": "chat_gpt_brand_entity",
"title": "Google Analytics",
"category": "software",
"markdown": "Google Analytics",
"urls": null
}
]
}
Why it matters
This new feature opens up new, high-impact capabilities for your tools and workflows:
➤ Spot brand mentions, competitors, and key figures instantly.
➤ Detect authority sources and influential players that appear in ChatGPT responses.
➤ Streamline your workflows by removing the need for manual entity extraction or custom parsers.
Get started
Check the updated ChatGPT LLM Scraper API docs to start leveraging brand entity extraction for deeper generative search intelligence.