Voice-of-customer language, in their words not yours.
It ranks the threads people actually engaged with, pulls the pain points out verbatim, and writes them to a Google Doc.
5 steps · runs on demand · added to your workspace as a draft
What it does
Pre-built, then yours to customize.
Add it to your workspace in one click. Sensible defaults and example inputs are already filled in.
Reads from · writes to
- Google Docs
The template, step for step
- Trigger
- Apify actor
- Code
- LLM call
- Google Doc push
Added to your workspace as a Draft, with example inputs filled in. Every step is yours to change.
- 01
Pain points verbatim — the phrasing is the value
- 02
Ranked by engagement, not recency
- 03
Content angles drawn from real complaints
- 04
Delivered straight to a Google Doc
In, and out
You give it a topic. This is what comes back.
- Shape
- 5 steps
- On demand
- run mode
- 1
- click to add
“I can see our rankings but I have no idea what ChatGPT says about us.”
▲ 412Measurement
“Every tool wants a demo call before it’ll show me a price.”
▲ 287Buying friction
“We got cited once and I couldn’t tell you why.”
▲ 198Attribution
Illustrative output.
Sifted by what people upvoted
Their words. Not your paraphrase.
The phrasing is the value. So nothing is rewritten on the way to the doc.
01 · Threads about your topic, in the order they were found.
02 · A Code step ranks them by how much people engaged.
03 · The ones nobody upvoted sink. They aren't a pattern.
04 · The sentence that names the pain is lifted out, word for word.
05 · Grouped by theme, in a doc your writers can quote from.
Apify actor · threads on your topicas foundranked by upvotes
Google Doc · pain points, verbatim3 themes
“I can see our rankings but have no idea what ChatGPT says about us.”
▲ 412Measurement
“Every tool wants a demo call before it'll show me a price.”
▲ 287Buying friction
“We got cited once and I couldn't tell you why.”
▲ 198Attribution
The steps
What happens on every run.
- scrape_reddit_topic
- rank_by_engagement
- extract_pain_points
- draft_content_angles
- write_google_doc
5 steps · Runs on demand0 / 5
Run history keeps each step's output and runtime, and the input of every step that completed.
Before & after
The time this gives back.
The templates that publish put a Human review step before the CMS step, and nothing ever posts to Reddit for you. Review is a step, not a lock: a workflow you build or edit can publish or message a channel without one, so add it wherever you want the sign-off.
Doing it by hand
~4 hrs
Reddit pain-point miner
~20 min
Doing it by handyour team
- Trawling subreddits~2h
- Copying out useful quotes~1h
- Turning them into angles~1h
Per topic, by hand~4 hrs
Reddit pain-point minerLive
- Agent scrapes and ranksauto
- Agent extracts and draftsauto
- You read the Doc~20m
One agent run~20 min
FAQ
Questions, answered.
Because the exact phrasing is what you want in headlines and FAQ questions. Summarising it back into marketing language throws away the reason to look at Reddit at all.
No. This agent only reads. If you want to reply, that is the Reddit thread responder, which drafts a comment for your approval and still does not post on its own.
It is one of the six sources Mentionova monitors, and answer engines cite it heavily — so the language there both reflects real customers and feeds the answers.
Free to start
Add this agentto your workspace.
Start free. Customize the steps, run it on demand or on a schedule, and approve anything that ships.