SUMMARIZATION
Cluster VoC objections and draft researched rebuttals per product line
On demand, an agent clusters the latest VoC objections by product line, researches each top objection against competitor and market context.
How it runs
The automated pipeline, trigger to output.
- TriggerOperator manually starts run for a product line
- ActionCluster recent objections into themes with OpenAIOpenAI
- ActionResearch each top objection for context with PerplexityPerplexity
- LogicDecide which clusters get full rebuttals
- ActionDraft rebuttal talk tracks with OpenAIOpenAI
- OutputWrite clusters and rebuttals to AirtableAirtable
What it does
Goes a step past summarizing: it clusters recent customer objections by product line and then, for each top theme, researches the underlying concern (competitor claims, pricing context, common misconceptions) and drafts a defensible rebuttal talk track. Sales gets not just what customers object to but how to answer it.
When to use it
Run it when prepping enablement or refreshing battlecards. Best when you want an agent to reason across many calls, pull in outside context, and produce ready-to-use rebuttals rather than a static cluster list.
How it works
- 1An operator triggers the run manually for a chosen product line.
- 2The agent reads recent transcripts and clusters objections into themes.
- 3For each top theme it runs web research to gather competitive and market context.
- 4A logic step decides which clusters warrant a full rebuttal versus a note.
- 5OpenAI drafts a rebuttal talk track per qualifying theme.
- 6Clusters and rebuttals write to Airtable for sales enablement.
Set it up
What you configure once, before turning it on.
- 1Connect OpenAIModels, embeddings, files.
- 2Connect PerplexitySearch-grounded answers with citations.
- 3Connect AirtableBases, tables, views, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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