Social Listening — Levellr
Feature — Social Listening

Your community is telling
you the why.
Start listening.

Levellr's Social Listening turns millions of Discord messages into cited, decision-grade intelligence. Not dashboards — answers. Built for the teams who need to know what's really happening, before it becomes a problem.

Trusted by leading brands and game studios
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AI analysts, not keyword alerts

Levellr's AI reads and enriches every conversation — understanding sarcasm, slang, and context — to explain why sentiment is shifting, not just that it has.

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Every insight is cited

Trace any summary back to the original conversation in one click. Take insight into a product review or leadership meeting without a qualification slide.

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Consistent, repeatable results

Unlike raw LLM queries, Levellr preprocesses and structures data before analysis. Ask the same question tomorrow and get the same answer.

Sentiment Analysis

Know how your community feels — before your next planning session.

Levellr analyses sentiment across your Discord in real time, surfacing how your community is responding to updates, announcements, and events. Visual reports across any timeframe make it fast to spot shifts and take action.

  • Understand how players feel about new updates faster than surveys or reviews
  • Spot bugs, balance issues, and sentiment shifts in the first 24 hours after a release
  • Track sentiment over time across channels, topics, and member cohorts
  • Understands sarcasm, slang, and gaming-specific language — not just keyword scoring
Sentiment overview — last 30 days
Positive
68%
Neutral
22%
Negative
10%
Trending topics right now
Patch 4.1 reaction
New map feedback
Server lag
Matchmaking
Battle pass value
Cited Summaries

Replace lagging manual reports with instant, cited answers.

Community Managers spend hours each week manually trawling messages and compiling reports that are already out of date by the time they're shared. Levellr does this automatically — surfacing qualitative evidence and linking directly to the source conversations.

  • Turn millions of messages into qualitative evidence in seconds
  • Every summary links back to the original conversations for full transparency
  • Share cited, structured reports with Leadership and Product without manual compilation
  • Pinpoint specific chats — find the needle in the haystack, not just the trend line
Auto-generated insight — this week
Top community theme: Update 4.1
The most discussed topic this week is the matchmaking changes in Update 4.1. Sentiment is broadly positive (71%) but a vocal cluster of mid-tier players are flagging queue time increases in #feedback.
View 47 cited messages →
Emerging concern: Server stability
Lag mentions up 38% vs last week. Appears concentrated in EU West region. Recommend escalating to LiveOps.
View 23 cited messages →
Crisis Detection

Detect narrative shifts early. Act before issues escalate.

A spike in negative sentiment doesn't always signal a real crisis. Levellr helps you tell the difference between a loud minority venting and a genuine community problem — so your team can respond with the right level of urgency.

  • Detect negative narrative shifts and toxicity spikes in real time
  • Distinguish a "loud minority" complaint from a widespread community concern
  • See when rival titles are being discussed — spot migration risk early
  • Get context on who is driving negative sentiment, not just that it exists
Alert — sentiment anomaly detected
⚠ Spike detected · 2 hours ago
Negative sentiment in #general up 41% in the last 2 hours. Topic cluster: account ban appeals. Driven by 18 users — not representative of broader community.
Analysis
These 18 users represent 0.2% of active members. No viral amplification detected. Recommend standard community response — not escalation.
Broader sentiment: healthy
Overall community sentiment remains at 72% positive. Loud minority, not a crisis.
How it compares

Social listening that goes beyond dashboards.

Without Levellr
Manual reports compiled by community managers — slow, biased, and always out of date
Raw Discord data fed into a general-purpose LLM — inconsistent, uncitable, not trusted by leadership
Keyword dashboards that miss sarcasm, slang, and context — flagging what was said, not what it means
No way to know if a complaint represents 10 players or 10,000
Insight reaches leadership when it's too late — the issue has already spiralled
With Levellr Social Listening
Automated, cited summaries delivered instantly — no manual compilation required
Data preprocessed and enriched before AI analysis — consistent, traceable, defensible
AI analysts that understand context, sarcasm, and gaming language — explaining the why
Segmented by who is speaking: weight feedback by actual engagement, tenure, and spend
Real-time alerts and narrative shift detection — act before issues escalate
What our customers say

Trusted by the teams building on Discord.

Stop losing insight in Discord noise.

See how product, Live Ops, and community teams use Levellr's Social Listening to make decisions their whole organisation trusts.