Brand-Mention Tracking
Copy-ready Claude prompt
Here's a thread mentioning our brand {{brand_name}}: {{paste_thread_text}}. Classify it positive/negative/neutral/support-issue. If support, say plainly this needs the support team, not marketing. If negative but not support, draft a genuine, disclosed response acknowledging the specific complaint.Learning objectives
- Distinguish brand-mention tracking from generic keyword monitoring.
- Build a comprehensive brand-mention keyword set including misspellings.
- Apply Postpone's account-safety features to your own posting accounts.
- Establish a response-time and escalation standard for negative mentions.
Prerequisites: Lesson 5.4.1; Lesson 5.2.2.
Core concepts
Brand-mention tracking is the tightest-scoped lesson in this module, a missed negative mention costs more than a missed lead. Narrow the aperture to your name, product name, and founder name plus plausible misspellings (dropped hyphens, typos, an old product name post-rebrand). F5Bot's official brand-mention guide is the direct template, same free tier, run as its own tagged alert stream (f5bot.com).
The response standard should be tighter than Stage 4's general lead-gen target. A negative or confused brand mention compounds in visibility the same way a positive one does, so monitoring cadence here should assume same-day human review, with an escalation rule specifying who's pinged when a mention reads as support rather than marketing, the correct response to "your product broke my workflow" is support intervention, not a promotional reply.
Your own account's health becomes part of the intelligence tracked here too. Postpone's "Redditor Score" (karma, account age, posting-pattern history) plus shadowban detection and repeat-post warnings exist precisely because a brand actively replying needs to know its own account isn't quietly degrading in trust (postpone.app). A shadowbanned founder account replying to brand mentions is invisible to the people you're trying to reach, with no way to know without a tool checking.
Keep the ethics line intact here specifically because brand-mention response tempts teams into automating it as "just customer service, not marketing." It is not different: a negative mention deserves a human-written, disclosed, specific response every time. Automation's job stops at surfacing the mention same-day with enough context (link, sentiment, support-vs-marketing read) that the human response is fast and informed, never generic.
Video lessons
Supporting reading
- Monitor Reddit for Brand Mentions (Free), F5Bot Guide (https://f5bot.com/guides/monitor-reddit-for-brand-mentions), the direct template for this lesson's keyword configuration.
- F5Bot (https://f5bot.com/), revisit the 200-keyword free-tier ceiling governing misspelling coverage.
- 6 Best Reddit Post Schedulers for Content Creators in 2025, Postpone (https://www.postpone.app/blog/best-reddit-post-schedulers-for-content-creators), the account-safety layer for accounts doing your responding.
Exercise
Build a brand-mention keyword set (brand, product, founder name, three misspellings). Run one week; log every mention with a sentiment tag and same-day response status.
Assignment
Write a brand-mention response protocol: keyword list, same-day response commitment, escalation rule for support vs. marketing mentions, and a monthly Redditor Score/shadowban check plan.
Claude workflow
- Skill idea: a brand-mention triage skill classifying sentiment and support-vs-marketing routing for same-day alerting.
- Automation opportunity: detection, misspelling matching, and classification are automatable; writing the actual response to an upset person is never automatable.
Expected outcomes
- Brand-mention set live one week with a complete sentiment-tagged log.
- States F5Bot's 200-keyword ceiling and its constraint on misspelling coverage.
- Response protocol completed with a same-day commitment and escalation rule.
Referenced resources
- I Stopped Browsing Reddit Randomly. Here's the Keyword Monitoring System That Actually Gets Me Customers. · Indie Hackers (Alex Chen)