Brand Mention Sentiment Scan: Last 30 Days

Find what Reddit, X, YouTube, and TikTok said about your brand this month: real counts, themes, verified quotes, and what needs a reply.

Marketingsocial-listeningbrand-sentiment
by AgentVoltv1.0.0
Free to sign up · every skill included with AgentVolt Pro

Before & after

Same prompt, same agent — the only difference is the skill.

Prompt“What are people saying about my brand online right now?”
Beforegeneric AI agent
Monitoring brand mentions across social media is useful if you want to stay on top of what people are saying. You'd need to search manually across Twitter, Reddit, Instagram, and TikTok, or use a paid monitoring tool if you want something automated. The challenge is that you'll get a lot of noise—not all mentions are meaningful. You could also check Google News or set up a news alert. What's your brand name? I could help you think through what channels matter most for your audience.
Afterwith Brand Mention Sentiment Scan: Last 30 Days
BRAND SENTIMENT REPORT (last 30 days)

MENTIONS BY PLATFORM
TikTok: 340 mentions (trending, 78% positive)
Reddit: 45 mentions (r/finance communities; 82% positive, 1 negative troll thread)
X: 120 mentions (12% negative, mostly competitor comparisons)
YouTube comments: 1.2K mentions (92% positive, 5% feature requests, 3% bugs reported)

SENTIMENT SUMMARY
Overall: 81% positive, 14% neutral, 5% negative
Trend: Positive sentiment up 12% from last 30 days
Volume spike: July 14–16 (after your viral TikTok)

REPRESENTATIVE POSITIVE
"Finally someone explaining budgeting without the shame angle" (Reddit, 120 upvotes)
"Been following for 3 months; my savings rate went from 10% to 28%" (YouTube)

NEGATIVE CLUSTERS (addressable)
• UI confusion on the calculator tool (4 mentions, feature request)
• One creator falsely claimed you copied their format (Twitter, 1 thread, disputed)
• Bank integration down for 2 hrs on July 9 (2 mentions; resolved)

WINS TO AMPLIFY
High sentiment around your "mistakes I made" series (83% engagement lift)
Budgeting psychology content resonates more than tools

ACTION: Prioritize calculator UI fix; it's the only genuine product complaint.

About this skill

"What are people saying about us?" usually gets one of two answers. Either someone scrolls Reddit for an hour, or an AI makes up a confident "62% positive" figure from a few search results, half of which are about a different company with the same name. This skill runs a proper social listening pass. It filters out noise from name collisions, counts only posts it can date inside the window, and tells you which complaints are a real pattern and which are one loud thread.

What it does

  • Builds the search query set for you: aliases, handles, product names, misspellings, and exclusion terms for brands with common or shared names
  • Shows what each platform actually covered (searched, partial, or not reachable) so a gap never passes for silence
  • Merges reposts and cross-posts into a single incident and counts independent authors, not raw hits
  • Codes sentiment by aspect (product, price, support, trust, competitor comparison), including mixed and sarcastic posts
  • Ranks issues as escalate, watch, or noise, using spread, independent sources, reach, and safety or legal risk
  • Works from live search, or from exports and pasted posts out of your listening tool or support inbox

What you get

A one-page pulse report with: headline read, counts by platform and sentiment (percentages only when the sample supports them), top themes with linked verbatim quotes, an escalation list with suggested responses, coverage gaps, and saved queries for next month's run.

Best for

Founders, marketers, community managers, and PR leads at small and mid-size brands who need a trustworthy monthly or post-launch read on public sentiment and don't have a full social listening tool.

SKILL.md preview

SKILL.md
---
name: brand-mention-sentiment-scan
description: Scans recent public mentions of a brand across Reddit, X, YouTube, and TikTok (or pasted exports), filters out name collisions and duplicates, codes sentiment by aspect, and delivers a pulse report with honest counts, linked quotes, and an escalate/watch/noise triage. Use when the user says "what are people saying about us", "check sentiment on our brand this month", "how did the launch land on Reddit and TikTok", "is this complaint spreading or just one guy", "run a social listening report for [brand]", "my brand name keeps pulling in unrelated results", or "summarize these mentions from our listening tool".
---

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