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Agentic Prospect Research

Research every prospect before you write a word

An autonomous research agent crawls the live web for funding rounds, recent hires, product launches, tech stack and pain signals — then feeds them straight into the script for every send.

Mail-merge is dead

Real personalization needs real signals

{first_name} from {company} is not personalization — it's a template. Outvid's research agent reads the open web, picks up what changed about each prospect this week, and turns it into the opening line of their video.

Reads the live web

The agent doesn't lean on a stale third-party list. It checks the prospect's own site, news and LinkedIn activity at the moment you queue the campaign.

Surfaces what matters

Recent funding, new VP hires, product launches, tech-stack moves and hiring patterns get ranked by outreach relevance — not by raw recency.

Per-prospect, on-demand

Research runs only when you have a prospect in front of it. No background scraping, no resold contact lists, no surprise data leakage.

Signals the agent looks for

Every signal a smart SDR would dig up — before they recorded

The agent reads company sites, news, press releases, LinkedIn activity, hiring pages and product launches. It compiles a per-prospect dossier in minutes, then hands it to the script generator with the most outreach-relevant signals already surfaced.

  • Recent funding rounds and growth-stage milestones
  • Executive and key-role hiring (VP Sales, Head of RevOps, etc.)
  • Product launches, pivots and public roadmap signals
  • Tech stack inferred from public sources and job postings
  • Hiring patterns that hint at strategic priorities
  • Recent customer wins and case studies
  • LinkedIn activity, posts and recent content

Growth

Funding & expansion

Acme just raised a Series B; team grew 40% YoY.

Hiring

Key-role signals

Two new SDR roles posted in the last 14 days.

Product

Launches & pivots

New AI workflow shipped last week; press coverage in TechCrunch.

Stack

Technographics

Already on Salesforce + Outreach; recently added Gong.

How it runs

From a name on a CSV to a researched dossier in minutes

Research is per-prospect, on-demand and shaped by your ICP. No background scraping, no third-party reseller list — the agent only digs when you have a prospect in front of it.

01

You queue a prospect

Add a prospect from a CSV import, CRM sync, or directly inside a campaign. No background workers run uninvited.

02

The agent crawls the open web

It reads the company site, news feeds, LinkedIn activity, and public job posts — then ranks what matters most for your ICP.

03

A reviewable dossier appears

The dossier is attached to the prospect record. You can read every signal, replay the run, and override before the script generates.

Researched dossier for:

Marcus Chen, Head of RevOps @ Northbound

Top signal

Northbound shipped an AI workflow product two weeks ago — Marcus's team is hiring two AI Ops roles to support it.

Funding & growth

Series B closed in November; headcount up 38% YoY; press coverage in TechCrunch and SaaStr.

Stack signals

Salesforce primary CRM; recently added Gong; using Outreach as the cadencer.

Inferred pain

Scaling RevOps post-Series B usually breaks reporting cadence — that's the angle to lead with.

From signal to script

The dossier shapes the opening line

Outvid's script generator pulls the most outreach-relevant signal — not just a name and a company — and writes the opening hook around it. Same for the pain framing, the value prop, and the CTA.

  • Opening hooks built around what changed for the prospect this week
  • Pain framing tied to inferred operational signals, not generic industry pain
  • Value prop tuned to the exact stack and stage of the prospect's company
  • CTAs that reference recent press, hires, or roadmap moves to feel current
See personalized video in action
Trust & control

Research that respects your standards

Every dossier is reviewable, replayable and tied to a campaign. You see exactly what shaped each script and can override the agent before any video ships.

Reviewable dossiers

Every researched signal is attached to the prospect. Read it, edit it, override the script's framing — all before a video renders.

Replayable runs

Re-run research on demand when a prospect's situation changes. Prior runs stay in the timeline so you can compare.

Workspace-scoped

Research lives inside your workspace, tied to the campaign. Nothing is sold, resold, or shared across customers.

Pairs with the Context Layer

External signals + owned memory = real personalization

Prospect Research is the external signal layer — what the agent learns from the open web. Outvid's Context Layer adds the owned side: your CRM history, inbox, calendar, call notes and team pitch. Fused per prospect, they make every script feel handcrafted.

Explore the Context Layer

External signals

Prospect Research

What the agent learns from the open web: funding, hires, launches, stack, pain triggers.

Owned memory

Context Layer

Your CRM, Gmail, calendar, call notes and team pitch — the organizational memory the AI reasons over.

Output

Personalized Video

Per-prospect script, voiced and lipsynced onto your real recording. No mail-merge, no synthetic avatar.

Delivery

Multi-channel send

Same researched message dispatched across Email, LinkedIn, WhatsApp and Instagram — branching by signal.

Send your first researched video campaign

Upload a prospect list and let the research agent build a dossier for every contact before the script is written.

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