Levellr AI: Ask your community anything. Get answers you can trust.

Levellr AI

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Levellr AI is a conversational analytics agent built on top of enriched Discord data. Ask complex questions in plain English and get consistent, cited, decision-grade answers in seconds.

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Questions our customers are asking right now

You How did the community react to the product announcement? Give me concise takeaways I can share with the team.

Levellr AI Initial reaction was strongly positive — sentiment in the first 48 hours ran at 74% positive. The most discussed themes were pricing clarity (well received), the new onboarding flow (mixed), and questions about API access (high volume, unresolved). Three posts drove the majority of replies. I've linked the most representative examples below.

✓ Cited · Segmented · Repeatable

You What were the positive discussions and examples of UGC from this week? What would be helpful for our marketing team?

Levellr AI This week's top UGC clustered around setup tutorials, before/after comparisons, and community challenge submissions. Seven posts generated 50+ reactions — I've ranked them by engagement. The tutorial format is outperforming everything else by 3x. Worth briefing your creatives on this pattern.

✓ Content strategy · Ready to share

You Why was sentiment lower on Feb 13–14?

Levellr AI Sentiment dropped 34% across those two days driven by two clusters: a spike in login error reports in #support, and negative reaction to the XP change announcement. The loudest voices were mid-tier members (2–5 messages/month), not your power users — worth noting before escalating.

✓ Topic + sentiment driver breakdown

What Levellr AI is

Not a chatbot. A decision-grade analytics agent.

Most teams that try to "ask AI questions about their Discord" are querying raw, unstructured data with a general-purpose language model. Results vary every time you ask. Nothing is citable. Nothing is trusted by leadership.

Levellr AI is different because it runs on top of data that has already been enriched, segmented, and preprocessed. By the time you ask a question, the intelligence is structured. The answers are consistent, traceable, and ready to share.

Not a generic LLM on raw data

Raw Discord + ChatGPT gives you different answers every time. You can't cite it, share it, or act on it with confidence.

Not a dashboard you read manually

You shouldn't have to build a report to answer a question. Levellr AI answers in natural language, right away.

✓

A specialised analyst on enriched data

Levellr AI selects the right tools, interprets enriched context, and delivers insight that is explainable, repeatable, and defensible.

✓

Every answer cites its sources

Trace every insight back to the original conversation. Take it into a product review or leadership meeting without qualification.

What you can do

Every question your community team actually asks.

Levellr AI removes dashboard friction and makes Discord analytics instantly actionable, whether you need a quick diagnostic or a full cohort comparison.

👥

Behaviour-based segmentation

Create cohorts from natural language. No SQL, no tagging, no manual work. Define a segment and apply it across all your tools instantly.

How many active users never post in Trading channels?

📊

Engagement breakdown & diagnostics

Understand the real shape of your community. Split users into engagement tiers. Detect superfans vs. passive members vs. those at risk of churning.

Split active users into 1 message, 2–5, 6–15, 15+ groups.

💬

Sentiment tracking & diagnosis

Track sentiment over time, around launches, or against specific topics. When sentiment drops, find out exactly why it happened, not just that it did.

Summarize sentiment around the launch in Jan vs Feb.

📣

Content & channel performance

Identify which content formats and conversation types generate the highest engagement. Replicate what works. Consolidate what doesn't.

Which messages had the most reactions in #general last week?

🐛

Product feedback & support intelligence

Surface and cluster the top product issues, feature requests, and support topics. Results come filtered, deduplicated, and ranked by frequency and impact.

What are the top 15 requests related to our new feature?

⭐

Influence mapping

Identify the top 5% most influential members based on replies generated, threads started, reactions received, and network centrality.

Who are the most influential members in our server right now?

How it works

Why the answers are different here.

The quality of Levellr AI's output comes from what happens before you ask the question.

Your Discord data is ingested continuously

All messages, threads, reactions, and member activity are pulled and stored at scale in real time.

Always up to date

Every message is deeply enriched

Who sent it. How long they've been active. Their engagement tier. What else they participate in. What topics they're discussing. Context is added before analysis begins.

Rich context layer

Data is preprocessed into structured intelligence

Aggregation, clustering, sentiment scoring, and statistical analysis happen automatically before any question is asked. This is the step most DIY pipelines miss.

Structured before you ask

Levellr AI selects the right tools and interprets the data

Specialised AI analysts trained for community, product, and research jobs choose the right analytical tools, run the query, and synthesise the result.

Specialised, not generic

You get an answer that is consistent, cited, and shareable

The same question asked tomorrow gets the same answer. Every finding links to the original conversations. Ready for a standup, a product review, or a leadership deck.

Explainable · Repeatable · Defensible

Real questions. Real answers.

What teams are already asking Levellr AI.

These are questions adapted from real usage, the kind that used to take hours of manual analysis to answer.

👥 Segmentation & Cohorts

What % and number of users sent at least one message in the last 4 months?

Break our active users into 4 groups: 1 message, 2–5, 6–15, and 15+ messages.

How many active users have never posted in any channel under the Trading category?

How is our engagement looking in 2026 compared to 2025?

💬 Sentiment & Social Listening

Summarize the positive and negative themes from the community this week. Link to examples that best illustrate each theme.

Why was sentiment lower on Feb 13–14?

How did the community react to the product announcement? Give me concise takeaways to share with the team.

Are there any interesting topics or trends that emerged between Feb 4 and Feb 20?

🐛 Product & Support

What are the top problems users complained about in the past week?

What are the top 15 requests users have raised about this feature?

In #support over the last 30 days, what are the trending sub-topics?

Identify the top app-related issues, excluding bot commands and off-topic threads.

📋 Reporting & Growth

Summarize community performance for Feb 16–22 in an executive-ready format.

What were the positive UGC examples this week? What would help our marketing creatives?

How many new members were added in January? What % growth does that represent vs December?

Evaluate all channels by activity, engagement depth, and unique participation. Flag any low-value ones.

Why it matters

The insight your organisation has been asking Community for. Finally in a form they'll trust.

Community teams use Levellr AI daily to answer questions faster, report more accurately, and eliminate manual analysis. But the value compounds when those answers reach Product, Research, Live Ops, and Leadership in a form that is citable, consistent, and ready to act on.

That's what Levellr AI makes possible. Not faster guesses. Better decisions.

10M+

Discord messages analysed per month across Levellr customers

50+

Enterprise customers already running on Levellr's enriched intelligence layer

7M+

Discord community members represented across the platform

What our customers say