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Call prep

I have a call with [Account] in 20 minutes. Pull everything — recent calls, emails, open opps, key contacts, and what we promised last time.

Follow-up email

Draft a follow-up email to [Contact] at [Account] summarizing what we discussed on the last call and proposing next steps.

Account plan

Build me an account plan for [Account] — key stakeholders, deal history, whitespace, competitive landscape, and recommended strategy.

Deal strategy

I'm trying to close [Account] this quarter. Based on all our interactions, what's the best path to close? Who do I need to get to?

Update Salesforce

I just got off a call with [Account] — update the opp with what we discussed, move it to the next stage, and log the key takeaways as a note.

Custom pitch deck

Build me a pitch deck for [Account] — include their industry challenges, how we solve them, relevant case studies, and pricing options.

Competitive battle plan

I'm going up against [Competitor] in the [Account] deal. Pull all deals we've won and lost against them. What works and what doesn't?

Multi-thread mapping

Map all the stakeholders at [Account] — who have we talked to, who's the champion, who's the blocker, and who haven't we reached yet?

“I've been using Von, which streamlines my preparation for partner calls, lets me review my pipeline efficiently, and provides quick answers about my accounts without having to sift through Salesforce. This tool alleviates the busy work, enabling me to concentrate on building genuine relationships.”
Morgan Keating
Senior Account Manager
Why not just use Claude or ChatGPT?

Von is built specifically for the needs of revenue teams

You already pay for general-purpose AI tools, so you could probably build this yourself. But those tools weren’t built for the specific needs of revenue teams.

Explore Build vs. Buy
Claude / ChatGPT
Von logo lockup
System connections
Each user sets up their own connections. Centralized access requires engineering to build and maintain an MCP server.
Admin connects once. Native, one-click integrations available to the entire org immediately.
Business context
Doesn’t know your fields, fiscal year, or churn definition. You write and maintain skill files for every use case.
Von builds a context graph in days. No skill files. Corrections from any user apply to everyone via org-wide memory.
Context limits
Even with a million-token window, 50 deals and hundreds of calls bury the middle. The model samples and gives you plausible guesses, not the full picture.
Pre-processes all unstructured data. Analyzes 10,000+ calls in a single query. Real answers, not sampled guesses.
Search quality
Limited to keyword search. Questions like “Why are we losing to competitor X?” return shallow answers.
True semantic search across all data. Deep answers on competitive losses, rep performance, and discovery patterns.
Enablement
Making it work for each persona is entirely on RevOps to figure out and maintain.
Von knows what works for every persona across 50+ companies. No training required from your side.
Timeline
3-6 months of engineering. You eventually assign 2-3 engineers full-time. Results uncertain.
Ready for the entire GTM team from day one. Productivity boost within two weeks.

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