Your sellers are already using AI for research.
The question is: are they getting research, or are they getting revenue intelligence?
The Current State: Most teams are stuck in prompt-by-prompt research - asking ChatGPT for company overviews, hunting down pain points, then manually stitching it together into outbound campaigns. It's better than nothing, but it's not scalable.
What's Coming
Agent-led collaboration where your research doesn't stop at surface insights. Instead of sellers spending hours crafting prompts, expert agents automatically:
Uncover non-obvious buying signals
from earnings calls, hiring patterns, and technology stack changes.
Cross-reference internal data
with public research to identify your strongest entry points.
Generate targeted messaging
that speaks to specific initiatives, not generic pain points.
Update continuously
from earnings calls, hiring patterns, and technology stack changes.
Why This Matters Now
The sales leaders who win in 2025 won't be the ones with the best ChatGPT prompts. They'll be the ones whose systems do the thinking for their sellers.
While Jordan and Doug showed you how to think like a researcher, consider this: What if your research could think like your best seller? That's where agentic collaboration changes everything.
The Bottom Line: Great research wins deals. But automated research wins at scale.
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For Sales Leaders Who Are Ready to Scale Intelligence, Not Just Activity
See How Automated Account Research Eliminates Manual Prospecting