Verified by Fetch Hive
For support teams at software and service companies, turn a customer question and a public help-centre URL into a reviewable answer grounded in that page and up to three relevant linked pages. Every factual claim cites a source page, and unanswered points are listed separately.
How it works
Enter the customer's question and a public documentation page. The workflow reads that page, selects up to three relevant public links on the same site, and reads those pages. It drafts a short answer with a page citation for each factual claim, then lists what those pages do not cover.
Good for
Support teams drafting answers from their own public help centres.
What runs, step by step
Provide your input
Public help-centre or docs page URL and Customer question
Read the starting page
Read the public documentation URL you entered
Choose relevant linked pages
Select up to three public same-site links from the starting page
Read selected docs pages
Visit no more than three linked public pages
Read a linked page
Capture page text for citations and coverage checks
Pair linked page with source URL
Preserve each visited URL alongside its readable page content
Draft cited answer and gaps
Write a short support draft citing each factual claim and flagging gaps
More templates like this
Workflow
3
uses
AI Visibility Checker
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.
tom_alan
