Conversational insight queries
Ask natural-language questions about mentions, themes, sentiment, sources, campaigns, competitors, or customer issues.
Kompanion
Ask your social listening data better questions.
Kompanion is the AI assistant layer inside Kommon Poll that helps teams summarize public conversations, identify pain points, filter noisy mentions, and move from raw data to clear next steps faster.
Kommon Poll intelligence view
Live signal scan
MentionsVolume by period
ShareCompetitive view
SignalsTrends and spikes
SourcesChannel mix
SignalChat with your mention data
SignalSummaries of key events
SignalPain point extraction
SignalNoise filtering with context
Why it matters
Kompanion turns dashboards into a conversation your team can use.
Social listening platforms often show teams a large volume of mentions, charts, and filters. The hard part is deciding what the data means, which posts matter, and what action should come next.
Kompanion helps reduce that gap. Instead of manually reading every mention, teams can ask questions, generate summaries, identify repeated customer pain points, and isolate the conversations that are most relevant to the decision at hand.
It is designed for marketing, PR, customer experience, research, and leadership teams that need a faster way to turn public conversation into actionable intelligence without losing context.
Conversational insight queries
Ask natural-language questions about mentions, themes, sentiment, sources, campaigns, competitors, or customer issues.
Key event summaries
Generate concise summaries of the major events, spikes, complaints, praise, and themes appearing in your monitored conversations.
Pain point detection
Identify recurring customer frustrations, service gaps, product issues, and unmet expectations across social, review, news, and web mentions.
Capabilities
What your team can do with Kommon Poll.
Each workflow combines monitoring, filtering, AI interpretation, and reporting so the page is useful beyond a simple feature description.
Key event summaries
Generate concise summaries of the major events, spikes, complaints, praise, and themes appearing in your monitored conversations.
Pain point detection
Identify recurring customer frustrations, service gaps, product issues, and unmet expectations across social, review, news, and web mentions.
Aspect-based mention analysis
Break conversations down by specific product features, service areas, campaign elements, locations, or experience touchpoints.
Kompanion filtering
Filter out irrelevant or noisy mentions using contextual instructions, so teams focus on the conversations that matter.
Decision-ready outputs
Turn mention-level data into short briefings, stakeholder updates, action lists, and report inputs.
Use cases
Practical ways to apply this workflow.
Use these examples as starting points for configuring searches, alerts, dashboards, and reports around the outcomes your team needs.
Workflow
A clearer path from public data to action.
Kommon Poll is designed to make public conversation easier to operationalize: define the scope, collect the signal, interpret the pattern, and share what matters.
01
Start with a monitoring scope
Configure searches, competitors, sources, hashtags, pages, reviews, or topic areas inside Kommon Poll.
02
Ask a focused question
Use Kompanion to query the data, such as “What are people complaining about this week?” or “What changed after the campaign launch?”
03
Review themes and evidence
Check generated summaries alongside relevant mentions so AI interpretation remains grounded in source data.
04
Share or act on the output
Use the results for internal updates, crisis triage, customer experience follow-up, campaign optimization, or reports.
Common questions
What teams usually ask about kompanion ai assistant.
Is Kompanion a chatbot or a reporting tool?
It is both a conversational assistant and an insight layer. It lets users ask questions about their monitored data and convert the answers into summaries, reports, or action points.
Does Kompanion replace manual analysis?
No. It accelerates analysis by surfacing themes and summaries, while teams can still review the underlying mentions for context and validation.
What kind of questions can I ask?
You can ask about complaints, sentiment changes, key events, competitor comparisons, campaign reactions, pain points, specific sources, or any trend visible within the collected data.
Related workflows
Explore more ways to use Kommon Poll.
Connect this page with adjacent workflows so users can understand the broader value of public conversation intelligence.
Get started
Make your social listening data easier to understand.
Use Kompanion to summarize what changed, identify what matters, and brief your team faster.