Social listening for SaaS teams

Find what customers want from your competitors.

Discover product complaints, feature requests, and conversations about alternatives. Review the evidence before deciding what to build or where to help.

Explore the example — no sign-in

No credit card 3 active keywords 10 collected mentions / month

When the trial allowance is reached, new collection pauses until the next monthly allowance or an upgrade.

Mentions Relevant only

r/startups · Example mention

Looking for an alternative to Acme. We need better reporting and a simpler setup. Any recommendations?

@example_team · Fictional example

Acme makes weekly reporting easier, but we still need a shared view for our team.

YouTube · Fictional example

Would love a better way to group feedback by launch and priority.

A conversation your team can help with.

Read the research walkthrough Try your own competitor name

Illustrative examples · your workspace uses collected mentions

One focused inbox across the public channels your customers use

X Reddit YouTube LinkedIn Pages

HOW IT WORKS

From a keyword to a decision.

Set the signal once. ChatterBeam collects, classifies, and routes each relevant mention through one consistent workflow.

Tell ChatterBeam what to watch

Add a brand, product, competitor, or phrase. Choose the connected sources that matter.

your-product.com4 sources

Bring public mentions together

Source-linked conversations arrive in a single workspace with timestamps and attribution.

Let AI filter the noise

Relevance, sentiment, category, and urgency reveal what actually deserves attention.

PraiseBug reportHigh intent

Act while it still matters

Use alerts, saved views, webhooks, or your agent to route the right signal to the right owner.

Priority mentionDelivered by webhook

THE OPERATING PRINCIPLE

“The useful mention is rarely the loudest one. It is the one your team can verify, understand, and act on in time.”

Signal over volumeSource-linked evidence · explainable routing · accountable action

AGENT-READY BY DESIGN

Your research, ready for your agent.

Ask your agent to summarize customer feedback, compare competitors, or review recent mentions. Connect it to your team's workspace with access you can revoke anytime.

Mentions and analytics MCP and REST Scoped, revocable access Webhook notifications

Read the quickstart

agent.config.json

{
  "mcpServers": {
    "chatterbeam": {
      "url": "https://chatterbeam.com/mcp",
      "headers": {
        "Authorization": "Bearer cb_sk_••••"
      }
    }
  }
}

USE CASES

Every conversation has a next move.

ChatterBeam turns scattered public posts into work your product, growth, support, and communications teams can use.

Catch product issues

See bug reports and complaints while the conversation is still fresh.

Find product ideas

Turn recurring questions and feature requests into evidence for your roadmap.

Collect customer proof

Save praise and authentic testimonials without searching every network.

Join buying conversations

Spot high-intent questions where a useful, timely answer can help.

Track competitors

Understand launches, reactions, and positioning shifts across public channels.

Protect your reputation

Surface misinformation and urgent criticism before they quietly compound.

ONE WORKSPACE, CLEAR OWNERSHIP

Know the context before you respond.

Search, filter, verify the original source, and move a mention through your team’s workflow without losing the reason it mattered.

Filter by source, keyword, category, sentiment, and status
Keep the original URL and retrieval time attached
Save views and route priority mentions through alerts

Open your workspace

Mentions Relevant only

r/startups · Example mention

Looking for an alternative to Acme. We need better reporting and a simpler setup. Any recommendations?

@example_team · Fictional example

Acme makes weekly reporting easier, but we still need a shared view for our team.

YouTube · Fictional example

Would love a better way to group feedback by launch and priority.

A conversation your team can help with.

Read the research walkthrough Try your own competitor name

Illustrative examples · your workspace uses collected mentions

Interactive workspace preview · illustrative sample data

BUILT FOR VERIFIABLE WORK

Signal you can trace. Access you can control.

SourcesOriginal posts for context

FiltersFocus on relevant mentions

AlertsBring priority mentions to you

ControlManage agent permissions

PRICING

Start focused. Scale when the signal grows.

Every plan includes the monitoring workspace, AI classification, alerts, API access, and agent integrations.

Starter

$29 / month

For one focused listening workflow.

3 keywords
1,000 mentions / month
X, Reddit & YouTube + authorized LinkedIn Pages
API and MCP access

LinkedIn uses Page-authorized access, not platform-wide keyword search. See source coverage.

Start with Starter

$99 / month

For teams turning conversation into action.

7 keywords
10,000 mentions / month
Advanced alerts and webhooks
Shared team workflows

Start with Pro

Scale

$299 / month

For high-volume, multi-project monitoring.

15 keywords
50,000 mentions / month
Higher API limits
Centralized billing and usage

Start with Scale

Annual billing saves 25%. Usage and subscription state stay visible in your billing workspace.

FAQ

Questions, answered.

What is ChatterBeam?+

ChatterBeam is a social-listening tool for product and marketing teams. Collect source-linked mentions, review customer feedback and competitor discussions, and use analytics, alerts, or MCP to follow up.

Product capabilities and coverage → · Link to this answer

Who is ChatterBeam for?+

ChatterBeam is designed for product and marketing teams reviewing public feedback, product questions, and competitor conversations. It is not a replacement for customer support, market-wide research, or access to private messages.

Customer feedback workflow → · Link to this answer

Which sources does ChatterBeam monitor?+

ChatterBeam supports configured X, Reddit, and YouTube collection, plus authorized LinkedIn Pages. LinkedIn is not unrestricted platform-wide keyword search. Coverage depends on the integration, keyword rules, and successful scans.

Read the source limitations → · Link to this answer

How do I start monitoring a keyword?+

Sign in, select your project, add a distinctive brand or product keyword, and choose its sources. After collection runs, review matching results in Mentions. If nothing appears, check keyword status, scan outcomes, date range, and filters before assuming there are no conversations.

Start monitoring → · Link to this answer

Are mentions collected in real time?+

No. ChatterBeam collects on a schedule rather than through a continuous firehose. Refreshing the feed shows stored results; it does not guarantee a new provider scan. Check the scan status and source evidence when freshness matters.

Understand freshness and missing data → · Link to this answer

How reliable are AI categories and sentiment?+

AI classification helps organize collected mentions, but short posts, sarcasm, and missing context can produce errors. Review the original source before treating a category, sentiment label, or buying signal as a fact.

How to verify an interpretation → · Link to this answer

Can AI agents use my ChatterBeam data?+

Yes. MCP-compatible agents can access supported workspace tools with OAuth or scoped API access. Project membership and permissions still apply. Connecting an agent does not add source coverage or expose every workspace.

Connect an MCP agent → · Link to this answer

Do I need my own social platform API keys?+

No. ChatterBeam manages monitoring provider credentials. Authorized LinkedIn Page access is a separate connection requirement, and each source retains its coverage limitations.

Integration requirements → · Link to this answer

Does mention volume measure market share?+

No. Analytics summarizes the collected dataset under your selected dates and filters. Mention totals do not measure market share, unique customers, or guaranteed leads. Compare consistent sources and rules, and report missing data.

Interpret Analytics correctly → · Link to this answer

EXPLORE THE WORKFLOWS

Start with the question you need to answer.

How to Research SaaS Competitor Complaints and AlternativesA practical ChatterBeam workflow for SaaS founders: monitor a competitor name, review complaints and alternative requests, verify the source, and turn evidence into a research decision.ChatterBeam Data Sources and CoverageChatterBeam organizes collected mentions from X, Reddit, YouTube, and authorized LinkedIn Pages. Coverage depends on the configured integration, keyword rules, and successful scans—not access to every post.How to Interpret Social Listening AnalyticsInterpret ChatterBeam Analytics as a summary of collected mentions. Keep keywords, sources, dates, and filters consistent, review the original evidence, and separate missing data from zero activity.Reddit Brand Monitoring and Keyword Alerts for SaaS TeamsMonitor Reddit brand and competitor mentions without your own Reddit API key. Review source-linked feedback, filter noise, and configure keyword alerts in ChatterBeam.Competitor Monitoring Across Public ConversationsTrack competitor product mentions, compare customer feedback, and investigate changes using source-linked conversations in ChatterBeam.Organize Public Customer FeedbackCollect source-linked product feedback, organize bug reports and feature requests, and review sentiment with ChatterBeam.Social Listening MCP Server for Competitor ResearchConnect an MCP-compatible AI assistant to ChatterBeam to review competitor mentions and customer feedback with source links, project permissions, and scoped access.

YOUR NEXT SIGNAL IS ALREADY OUT THERE

Start listening before the conversation moves on.

Enter one keyword. ChatterBeam will carry it into your real monitoring setup after sign-in.