Research Faster
“I want a system that automatically researches any target account before I reach out — pulling together their latest news, job openings, tech stack, and what their executives are talking about on LinkedIn — and delivers it as a concise brief I can read in 90 seconds.”
HubSpot executes this mechanically. No judgment call — it runs the same way every time.
The model generates and decides here — output quality depends on the prompt and context you give Perplexity AI.
Clay executes this mechanically. No judgment call — it runs the same way every time.
The failure modes builders hit most often. Avoiding these is most of the battle.
Aggregate recent company news, hiring signals, tech stack data, and executive LinkedIn activity into a 90-second pre-outreach briefing that makes every cold call and email feel deeply researched.
COMPANY SNAPSHOT: DataScale Inc is a 150-person B2B analytics SaaS that raised a $22M Series B in March 2026 and is aggressively expanding its enterprise sales team. WHAT'S HAPPENING NOW: • Hired new CTO from Stripe 6 weeks ago — infrastructure modernization underway • 18 open e
Reps spend 20-30 minutes manually Googling prospects before high-value outreach, and still miss key signals. For a large account list this is completely unsustainable, so most reps either do no research (and sound generic) or only research a tiny fraction of their accounts (and miss most opportunities).
Reps spend 20-30 minutes manually Googling prospects before high-value outreach, and still miss key signals. For a large account list this is completely unsustainable, so most reps either do no research (and sound generic) or only research a tiny fraction of their accounts (and miss most opportunities).
Clay executes this mechanically. No judgment call — it runs the same way every time.
The model generates and decides here — output quality depends on the prompt and context you give Claude.
HubSpot executes this mechanically. No judgment call — it runs the same way every time.