AI-Powered Reddit Brand Intelligence
A consumer brand was monitoring Reddit the manual way: one analyst, a handful of subreddits, a lot of missed threads. We built an AI pipeline that ingests the conversation at scale, classifies sentiment and intent, and scores each mention for how much it matters, so the team acts on ten times the signal without ten times the work.
AI Engineering + Data Pipeline
10×
actionable brand mentions surfaced each week
What changed, charted.
Twelve months of the metric this engagement was hired to move, six before launch, six after, plus every headline KPI, before and after.
Actionable mentions surfaced per week
2026| Month | mentions |
|---|---|
| Jan | 12 |
| Feb | 14 |
| Mar | 11 |
| Apr | 13 |
| May | 15 |
| Jun | 12 |
| Jul (launch) | 74 |
| Aug | 98 |
| Sep | 116 |
| Oct | 124 |
| Nov | 129 |
| Dec | 132 |
Representative sample data: the same live measurement dashboard ships with every engagement.
Before → after
- Actionable mentions / week10×
- Before: 13. After: 130. Change: 10×.
- Subreddits monitored44×
- Before: 5. After: 220. Change: 44×.
- Time to flag a brand risk−99%
- Before: ~2 days. After: 15 min. Change: −99%.
- Analyst hours / week−85%
- Before: 20h. After: 3h. Change: −85%.
The challenge
Reddit was where the brand's buyers argued, complained and recommended, and almost none of it was being seen. An analyst could watch five subreddits and still miss the thread that turned into a PR headache two days later. There was no way to separate a buying-intent question from noise, no sentiment trend to brief on, and no alert when something started to spread.
What we did
Ingest the whole conversation
A streaming pipeline pulls posts and comments across every relevant subreddit continuously, so coverage stops depending on which tabs someone remembered to open.
Classify with an LLM, score for priority
Each mention is tagged for sentiment and intent, then scored on reach and urgency, so a spreading complaint or a buying-intent question rises to the top instead of drowning in the feed.
Alerts and a living dashboard
High-priority mentions fire a Slack alert within minutes, and a topic-and-sentiment dashboard turns the week's chatter into a trend the team can actually brief on.
The outcome
Coverage went from five subreddits to more than two hundred, and actionable mentions surfaced each week rose roughly tenfold, from about 13 to 130, with far less analyst time. The time to flag an emerging brand risk collapsed from a day or two to about fifteen minutes, and weekly reporting that used to eat a morning now assembles itself.
We used to find out about the bad threads after they'd already spread. Now they hit our Slack within minutes, ranked by how much they matter. It turned brand monitoring from guesswork into something we can actually staff.
What shipped
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