One record per prospect
Leads from CSV files, Apollo.io, Lusha, Clay, the LinkedIn extension and inbound forms are validated and deduplicated into one workspace.
GTM context layer
What is a GTM context layer?
Most GTM stacks spread one prospect across a data provider, a spreadsheet, a sequencer, an inbox and a CRM. Each tool sees a slice, so AI writing tools fill the gaps with assumptions. A context layer joins those slices first, so the next action is based on what is actually known.
Quick answer
A GTM context layer is the shared record beneath your go-to-market tools: who a prospect is, what their company is doing, why they fit your ICP, what you have sent them and how they replied, with a source for each fact. Reps and AI agents read from it, so research, scoring and outreach start from the same verified context instead of guesses. LeadGennie is a context layer for GTM: it brings leads in from lists, data providers, LinkedIn and inbound forms, attaches researched evidence and signals, and keeps drafts, approvals and replies alongside them.
What it helps with
What the context layer keeps together.
Evidence, not guesses
Research facts carry their source. Claims that cannot be verified stay out of scoring and out of the drafts.
Context that builds up
Campaign activity, replies and Do Not Contact decisions stay attached to the lead, so the next step accounts for what already happened.
How it works
From audience to approved action.
- 1
Connect your sources
Import lists, connect your own Apollo.io, Lusha or Clay key, capture LinkedIn profiles and collect inbound form submissions.
- 2
Research and score
Research each company and person, surface buying signals and score fit against your ICP, with the evidence shown next to every fact.
- 3
Act with approval
Draft personalized outreach, approve the campaign before it sends, and get suggested replies you review when prospects answer.
Questions
Answers for evaluating the workflow.
How is a GTM context layer different from a CRM?
A CRM is the system of record for accounts, deals and pipeline. A context layer holds the research, evidence, signals and conversation history that people and AI agents need to decide who to contact and what to say. The two work side by side.
Does a context layer replace Apollo.io, Lusha or Clay?
No. Data providers are sources that feed the context layer. LeadGennie connects to them with your own API keys and adds the research, scoring, personalization and approval steps around the contacts they return.
Do AI agents act on their own?
Not in LeadGennie. Its agent proposes a plan and runs it only after you approve it, and it never sends email. Launching a campaign needs an approval, and sending a reply needs an explicit click.
Why does verified evidence matter for AI outreach?
An AI model writing without sources will fill gaps with plausible-sounding claims. Grounding each draft in facts that carry a source keeps outreach accurate and makes it quick to review.
Give your GTM team one shared context.
LeadGennie helps your team turn context into a clear next step.