Meet a new upgrade to the LLM Mentions and LLM Responses APIs within our AI Optimization API suite, bringing you fan-out query and brand entity data for deeper generative search analysis.
What’s new
➤ Fan-Out Queries (LLM Mentions & LLM Responses)
Fan-out queries are related search terms that AI models generate from a core prompt and explore to gather supporting information when forming answers. With this update, fan-out query data is no longer limited to the ChatGPT LLM Scraper API.
Using the LLM Responses API, you can now retrieve fan-out query data for ChatGPT, Gemini, Claude, and Perplexity.
In the LLM Mentions API (Google AIO, ChatGPT), this addition allows you to search for mentions based on keywords appearing in related fan_out_queries. Simply select fan_out_queries in the target keyword search_scope.
➤ Brand Entities (LLM Mentions API)
The LLM Mentions API now also surfaces brand entity data from ChatGPT responses. This means you can search for specific brand mentions by selecting brand_entities as the target keyword search_scope.
The Search endpoint will provide you with a full brand_entities array with structured information on the brands mentioned in the relevant AI responses.
All other endpoints of the LLM Mentions API now offer the following fields:
brand_entities_title– array of objects with data on brand entity titles relevant to your search.brand_entities_category– array of objects containing data on relevant brand categories.
Why it matters
Together, these updates deliver more profound insight into how AI models research, reason, and reference brands. You can leverage this data to:
- Understand AI reasoning by seeing the exact queries models use during research.
- Discover new keywords and organic search optimization opportunities driven by real AI model behavior.
- Identify brand mentions instantly without manual extraction or custom post-processing.
Get started
Explore the updated API docs to learn more and start applying new insights today.