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Automatic research on every enrolled recipient
AI Recipient Research
Deep Intelligence on Every Prospect
Before writing a single email, Supapitch's Research Agent gathers intelligence from LinkedIn, company websites, news, and more. It finds the specific details that make personalization genuinely personal.
Prospect signal
Supapitch workspace
VP Revenue · Relay
Maya Patel
Hiring four account executives
MPSP
Review in workspaceInside the workspace
See how AI Recipient Research fits into the campaign.
S
Northstar campaign
Mid-market revenue teams
Live workflow
Prospecting
A shortlist with reasons to reach out
Prospect and signalFit
MP
Maya Patel
new signalVP Revenue · Relay
Hiring 4 account executives
JB
Jon Bell
Head of Sales · Trace
Opened a new US office
PN
Priya Nair
CRO · Northwind
Migrating from HubSpot
What this changes
Less hidden work. More deliberate decisions.
AI Recipient Research is the engine behind Supapitch's personalization. Before the AI writes a single word, the Research Agent gathers deep intelligence from LinkedIn, company websites, news, and more.
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Pulls from LinkedIn, company sites, news, and more
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Identifies tech stack, funding, and growth signals
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Confidence scores on every data point
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Detects language preference for multilingual outreach
The workflow
How AI Recipient Research fits into the work.
Each step remains visible and reviewable. The goal is a repeatable process, not a one-click promise.
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Enroll your recipient list
Upload or connect your leads. The Research Agent queues every recipient for deep intelligence gathering across multiple data sources.
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AI researches each prospect
In parallel, the agent pulls from LinkedIn, company sites, job postings, news, and tech stack databases. Each data point gets a confidence score.
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Review enriched profiles
Browse the research summary for each recipient. See the talking points, shared connections, and personalization hooks the AI will use in your emails.
Inside the capability
The details that make it usable.
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Multiple data sources
The Research Agent pulls from LinkedIn profiles, company websites, news databases, job postings, and tech stack databases. Each data point is cross-referenced for accuracy and assigned a confidence score.
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Research at scale
Research runs in parallel across your entire list — a typical recipient completes in fifteen to thirty seconds, and a list of one thousand finishes in under ten minutes. You can monitor progress in real time from the campaign dashboard.
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Language and locale detection
The Research Agent identifies each prospect's primary language from their LinkedIn and company website. If a prospect communicates in German, the AI flags this and can generate outreach in German automatically.
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Beyond basic enrichment
Unlike standalone tools like Clearbit or ZoomInfo, Supapitch goes beyond structured firmographic data to include unstructured intelligence like recent news and social posts. Research flows directly into email writing with no export or mapping step.
Questions
What teams usually ask.
What data sources does the Research Agent use?
The Research Agent pulls from LinkedIn profiles, company websites, recent news articles, job postings, tech stack databases, and funding announcements to build a comprehensive picture of each prospect.
How long does research take per recipient?
Research typically completes in 15-30 seconds per recipient and runs in parallel across your entire list. A list of 1,000 recipients usually finishes in under 10 minutes.
Is the research data stored?
Yes. All research data is stored in your workspace and associated with recipient profiles. It's available for future campaigns and continuously updated as new information becomes available.
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