Sales

Surfacing executive pain points for outreach and discovery

AI is used to uncover the most felt pain points at the executive level so outreach hypotheses and discovery strategy can be tested against likely buyer concerns.

Why the human is still essential here

The human salesperson interprets the pain points, chooses which hypotheses to test, and adapts messaging during real buyer conversations.

How people use this

Executive pain point research briefs

AI compiles public signals like earnings calls, interviews, and company updates into a short summary of likely executive priorities and pains before outreach.

ChatGPT / Claude

Pain themes from prior sales conversations

AI reviews past customer calls and highlights recurring business problems that executives bring up so reps can shape stronger outreach angles.

Gong

Account-specific outreach hypothesis building

A seller combines company research with AI to generate and rank likely executive pain hypotheses to test in emails and discovery calls.

LinkedIn Sales Navigator / ChatGPT

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Community stories (1)

Here’s every way I currently use AI in sales, no bs:

Here’s every way I currently use AI in sales, no bs:

- Find “lookalike” accounts for deals we’ve recently completed so I can prospect best-fit accounts (thank you Kyle Asay)

- Find the most felt pain points at the exec-level to hypothesize and test in my outreach and discovery strategy. (Shout out to Jen Allen-Knuth for this.)

- Draft my cold emails with an extremely specific messaging matrix - Always editing them before sending. (Got this one from Jason Bay)

- Consolidate prior convos into high-level problem statements to recap on calls. (Nick Cegelski, thank you)

That is it.

Most of the work I actually do is still manual. AI rarely gives me anything I can send out right away.

I don't hate AI.

But I can't stand the nonstop noise. Every conversation doesn't need to be about AI.

Tomas HinestrosaFounder & CEO, Metric Outbound

Apr 10, 2026