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Competitive reply
Objections and positioning from deals versus the record. The exact language that has worked, and the evidence behind it.
Side by side: token usage, with and without Paperbase
~132k tokens saved · 82% less work for the agentWithout Paperbase
~160k tokens
- Search deal notes for competitor mentions.
- Skim call transcripts for objections and responses.
- Ask reps which replies worked.
- Write a response from anecdotes rather than evidence.
With Paperbase
~28k tokens
- Pull competitive Interactions and extracted Sentiment.
- Cluster objections and positioning by competitor.
- Pull Decisions about approved responses with rationale.
- Return exact language that worked, with sources.
Agent prompt
You are preparing a competitive response for {{competitor_name}}.
Using Paperbase:
1. Pull recent deal Interactions mentioning {{competitor_name}}.
2. Extract objections, customer concerns, and the language used by successful responses.
3. Pull Decisions about positioning with rationale.
4. Separate claims supported by customer evidence from assumptions.
Output:
- The recurring objection and its exact language.
- The response that has worked, with a citation.
- Three grounded talking points for the next deal.Placeholders in {double_braces} are inputs the agent will ask for at runtime. Give the prompt to any agent connected to Paperbase, and the rest grounds in your own memory graph.