Overview
The LLM Search block sends a single prompt to several answer-engine platforms in parallel and returns each platform’s answer plus its citations. It also returns one combined, deduplicated list of citation URLs. Use it to see how AI engines answer a query and to gather source URLs for further research.Configuration
Prompt (Required)
The question or instruction to send to each platform. Example:{{step_1.output}}
Platforms
Select which answer engines to query. They run in parallel. Select at least one. Default: All platformsCountry
A 2-letter country code for localized results. Default: United States (us)
Options: United States, United Kingdom, Canada, Australia, India, Germany, France
Error Handling
Define what happens if the block fails. Options:- Terminate workflow: Stop execution immediately.
- Continue execution: Proceed to the next step despite the error.
- Retry: Run the block again until it succeeds, up to the Number of retries you choose (1–5). If every retry fails, the workflow stops at this block.
error field while other platforms still return results.
Output Data
Returns a JSON object.prompt
The rendered prompt that was sent.platforms
The list of platforms that were queried.results
An object keyed by platform. Each entry has ananswer and a citations array of { url, title }. A failed platform also includes an error field.
citation_urls
A combined, deduplicated list of citation URLs from all platforms, ready for scraping. Accessing fields:{{step_1.output.results.chatgpt.answer}}, {{step_1.output.citation_urls[0]}}
Sample Output
Best Practices
- Write a specific prompt; vague prompts return generic answers across engines.
- Select only the platforms you need to keep runs fast and focused.
- Use
citation_urlsto feed a Loop and Web Scrape for deeper research. - Set the Country to match the market you are studying.
- Compare answers across platforms to spot consensus and gaps.
Common Use Cases
What’s Next
- Scrape citation URLs with the Web Scrape Block
- Loop through
citation_urlswith the Loop Block - Summarize answers with the LLM Block
- Save results to Google Sheets
- Learn about Variable Referencing