Looking for an alternative to Acme. We need better reporting and a simpler setup. Any recommendations?
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
Acme makes weekly reporting easier, but we still need a shared view for our team.
Would love a better way to group feedback by launch and priority.
A conversation your team can help with.
Illustrative examples · your workspace uses collected mentions
One focused inbox across the public channels your customers use
X Reddit YouTube
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.com3 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.
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 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 {
"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
ChatterBeamProduct feedbackMentions Relevant only
Looking for an alternative to Acme. We need better reporting and a simpler setup. Any recommendations?
Acme makes weekly reporting easier, but we still need a shared view for our team.
Would love a better way to group feedback by launch and priority.
A conversation your team can help with.
Illustrative examples · your workspace uses collected mentions
BUILT FOR VERIFIABLE WORK
Signal you can trace. Access you can control.
PRICING
Start focused. Scale when the signal grows.
Every plan includes the monitoring workspace, AI classification, alerts, API access, and agent integrations.
$29 / month
For one focused listening workflow.
- 3 keywords
- 1,000 mentions / month
- X, Reddit & YouTube
- API and MCP access
New LinkedIn Page authorization is currently unavailable. See source coverage.
Start with StarterMOST POPULAR
Pro$99 / month
For teams turning conversation into action.
- 7 keywords
- 10,000 mentions / month
- Advanced alerts and webhooks
- Shared team workflows
$299 / month
For high-volume, multi-project monitoring.
- 15 keywords
- 50,000 mentions / month
- Higher API limits
- Centralized billing and usage
Annual billing saves 25%. Usage and subscription state stay visible in your billing workspace.
FAQ
Questions, answered.
Can ChatterBeam find mentions that do not tag my account?+
Yes. Monitoring uses your configured keywords and aliases rather than requiring an account tag. A public post can match a product name without mentioning your handle. Provider retrieval, selected sources, exclusions and successful scans still determine which mentions are collected.
Does ChatterBeam automatically reply to social posts?+
No. ChatterBeam collects and organizes mentions for review. Open the original source to respond, and use Open, Follow up and Done states to track your work. Connecting an AI assistant does not by itself enable automatic social posting; any external publishing workflow needs its own setup and authorization.
Can new mentions notify my AI workflow?+
A configured signed webhook can send a mention.created event to your infrastructure after collection. Your integration can then use authorized REST or MCP tools to retrieve and review workspace data. MCP access alone does not create a background listener. Delivery depends on webhook configuration and successful processing; it does not make collection real time.
What is ChatterBeam?+
ChatterBeam is a social listening platform for SaaS product and marketing teams. Monitor public brand and competitor conversations, review source-linked customer feedback, and use analytics, alerts, REST, or MCP to follow up.
What does ChatterBeam Starter cost and include?+
Starter is listed at US$29 per month with 3 keywords, 1,000 mentions per month, configured X, Reddit and YouTube monitoring, and API and MCP access. API access must be enabled and project permissions still apply. Source coverage and collection limits remain in effect; a plan is not a guarantee of complete platform coverage. Check the current billing offer before subscribing.
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.
How can I research competitor feedback from public conversations?+
Track each competitor with a distinct product keyword, choose the same sources and date range for comparisons, and review the original conversations behind recurring complaints, requests, and alternatives. Collected mention counts are a research sample, not market share or proof of purchase intent.
Follow the competitor research workflow → · Link to this answer
Which sources does ChatterBeam monitor?+
ChatterBeam supports configured X, Reddit, and YouTube collection. Existing authorized LinkedIn Page integrations may continue to work, but new LinkedIn authorization is currently unavailable. LinkedIn is not unrestricted platform-wide keyword search. Coverage depends on the integration, keyword rules, and successful scans.
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.
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.
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.
Do I need my own social platform API keys?+
No. ChatterBeam manages monitoring provider credentials. LinkedIn Page access requires separate authorization, which is currently unavailable for new connections; each active source also retains its coverage limitations.
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.
Is an alert or an AI query a new source scan?+
No. Publication, collection and notification are separate events. A post must first be collected before a stored-mention query or matching alert can use it. Reading mentions through REST or MCP does not start a new scan. Scan actions are separate operations with their own authorization and limits.
Understand read access and scan actions → · Link to this answer
EXPLORE THE WORKFLOWS
Start with the question you need to answer.
How to Find SaaS Competitor Alternative Requests on RedditA practical workflow for finding Reddit discussions about SaaS alternatives: configure a competitor keyword, review scheduled results, distinguish switching intent from complaints, and keep source-linked evidence.ChatterBeam Data Sources and CoverageChatterBeam collects configured X, Reddit, and YouTube mentions. New LinkedIn Page authorization is currently unavailable; existing authorized connections have limited Page scope. Coverage depends on 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 for SaaS Teams: Mentions and FeedbackMonitor public competitor mentions with ChatterBeam. Compare source-linked feedback, review switching questions, and evaluate coverage before choosing a monitoring tool.How to Triage Public SaaS 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 AI assistant to ChatterBeam's social listening MCP server. Review collected Reddit, X and YouTube mentions with source links and scoped workspace access.
FREE TOOL
Start with one piece of feedback.
Check the tone of English text on your device. No account or text upload required.
Try the free sentiment analysis tool →Start listening before the conversation moves on.
Enter one keyword. ChatterBeam will carry it into your real monitoring setup after sign-in.
Can I monitor Reddit, X and YouTube with alerts and an AI assistant?+
ChatterBeam combines configured Reddit, X and YouTube monitoring, original source links, email alerts, and scoped REST or MCP access to collected mentions. You do not manage social platform API keys. Collection is scheduled, not real time; YouTube results are video mentions, not a promise to search every transcript or comment. Your AI assistant needs separate ChatterBeam authorization and can only query accessible collected data.
See the AI-assisted monitoring workflow → · Link to this answer