Verified by Fetch Hive
Runs a customer question through ChatGPT and Gemini, looks up tracked ChatGPT conversations and AI search volume for the topic, and extracts the brands and sources in each answer. Returns one JSON object per data source.
How it works
Paste in a customer question and the workflow checks how ChatGPT and Gemini answer it, plus related AI search and mention data for the topic. It returns a JSON result for each source, including the brands and sources found in the answers and any tracked visibility data.
Good for
Teams tracking brand visibility in AI answers and search.
What runs, step by step

Provide your input
Question
Keyword extractor
Pull out the topic and search terms
ChatGPT LLM Scraper
Get a ChatGPT answer
Gemini LLM Scraper
Get a Gemini answer
LLM Mentions Search
Search tracked AI mentions
Brand extractor
Extract brands and sources
AI Keyword Data Search
Look up AI keyword data
JSON Schema
Format the results as JSON
More templates like this
Workflow
Airtable Stalled Order Action Queue
For online store owners and marketplace sellers, this template reads an Airtable order-exceptions view and turns unresolved fulfillment delays into an oldest-first action queue. It separates inventory checks, carrier follow-ups, and customer updates so teams can act on stalled orders without manually sorting records.

Fetch Hive




