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Brand mention monitoring on Reddit

Reddit talks about your brand whether you are listening or not. Threads in r/SaaS, r/Entrepreneur, r/webdev, and a dozen niche subs surface your name across recommendations, complaints, comparisons, and casual asides. Manual searches miss the misspellings, the lowercase variants, the "anyone tried that thing called…" near-mentions. RedNudge watches Reddit for every variation you care about, scores each match 1-10 for relevance using Claude, tags intent (Recommendation, Complaint, Question), and ships a single email digest each day. You get the conversations that actually deserve a reply without scrolling through karma-farm noise or moderator drama.

Track every variant, not just the canonical name

Add your brand name, the lowercased version, common typos, the URL stem, and any abbreviations your customers use. If you are "Linear", you also want "linear app", "linearapp", and "linear.app". RedNudge treats each keyword as a separate watcher, so you can see which variants drive the most mentions and which ones are pure noise. Dismiss-to-train means false positives (the math term "linear", the band) get downweighted over time without you writing a single regex. The relevance score climbs as Claude learns what your brand mentions actually look like in context.

Sentiment lives in intent tags, not vibes

Generic sentiment ("positive/negative/neutral") is too blunt to act on. RedNudge tags each match with the underlying intent: Recommendation (someone is suggesting you), Complaint (someone is frustrated), Question (someone is comparing), Buy intent (someone is ready to pick). A Complaint tag with a 9/10 relevance score is your highest-priority reply of the day. A Recommendation in r/Entrepreneur is a thank-you-and-amplify moment. Tags compress the "should I open this thread" decision into one glance at the digest.

Subreddit filters keep the noise down

A brand named "Notion" matches half of Reddit if you do not scope it. RedNudge lets you whitelist subreddits per keyword: track "notion" only in r/Notion, r/productivity, r/Obsidian, and r/PKMS, and ignore everything else. For broader brands, blacklist the obvious noise subs (r/AskReddit, r/funny) and keep the rest open. Subreddit-aware monitoring is the difference between a 60-match digest you ignore and a 6-match digest you actually reply to.

Daily digest, not a firehose

Realtime alerts sound good until you get pinged at 2am by a meme thread. RedNudge bundles your matches into one digest per day, ranked by relevance score, with a one-click dismiss link per row. Dismissed matches train the scoring model so tomorrow's digest is sharper. The $7 starter plan covers most solo founders monitoring a single brand; teams scale up when they add competitors and feature keywords on top.

FAQ

  • How many brand variants should I add as keywords?

    Start with three: the canonical name, the lowercased URL stem, and the most common misspelling. Add more once you see which ones produce real mentions vs noise. Each keyword counts against your plan's keyword limit, so prioritize variants Redditors actually type.

  • What if my brand name is a common English word?

    Use subreddit whitelisting aggressively. Scope the keyword to the 5-10 subreddits where your buyers hang out. Dismiss-to-train will further suppress unrelated meanings within those subs over the first week.

  • Does RedNudge catch mentions inside comments, not just posts?

    Yes. We scan both posts and comments. Comments often contain the highest-intent moments ("we ended up using X instead") that never show up in post titles.

  • Can I monitor mentions of my founders or personal brand?

    Yes. Add the person's name as a keyword and scope it to relevant subs. Many founders track their Twitter handle and full name to catch profile mentions and AMA references.

  • How fast do brand mentions appear in my digest?

    Default delivery is one digest per day at your chosen time. New matches collected during the day are scored and bundled for the next send. Most teams find daily cadence beats realtime because it forces batching and reduces context switching.

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