The direct answer
Most lead-generation software expands outward: it builds lists of strangers, enriches them, and helps run outbound campaigns. Every starts inward. It looks for credible opportunities in relationship data you have chosen to use, scores business fit separately from relationship strength, and presents the evidence for review.
That makes Every useful when trust and context matter more than list volume. If you need thousands of net-new cold contacts, a data provider or outbound platform is the more appropriate category.
Customer-finding category map
“Lead generation” can mean relationship discovery, inbound demand, referrals, marketplace demand, or cold prospecting. Decide which motion you are running before comparing software. Every is built around the existing-network path and the CRM work that follows it.
People already present in relationship data you control
Shared history, recency, introductions, role, and business fit
Trust and reputation are the advantage
Core Every workflow
People who find a site, guide, event, or product
Search intent, form submission, content engagement, or product behavior
Demand already exists and can be captured
Bring qualified people into CRM; Every is not an ad or SEO platform
Introductions from past collaborators, peers, communities, or partners
Introducer trust and a specific reason to connect
A credible third party can open the conversation
Track the relationship and opportunity after the introduction
Buyers searching inside a platform or curated directory
Category, availability, reputation, and stated project need
The platform already aggregates relevant demand
Manage selected opportunities downstream; Every is not a marketplace
Net-new people or companies from a vendor database or web research
Firmographics, intent, enrichment, and contactability
List scale and campaign throughput are the goal
Choose a dedicated data or outbound platform instead
Authorized Gmail and network workflow
Every can use Gmail and Calendar context from the Google account you authorize, plus files and People you deliberately bring in. A LinkedIn connection list enters through your own account export; Every does not continuously scrape LinkedIn profiles or sell you a cold list.
LinkedIn notes that its export covers first-degree connections and that some email addresses may be absent because availability depends on each connection’s settings. Treat the export as relationship evidence, not a complete contact database.
Connect Gmail and Calendar through Google authorization. Every uses the connected user’s permitted context; access is not a blanket view into every teammate’s mailbox.
Use the historical Gmail and Calendar workflow to bring existing People, Companies, and opportunities into the workspace. Review the result rather than treating every correspondent as a lead.
Upload your own LinkedIn connection export or CSV, or save people intentionally. This is an import workflow—not live LinkedIn scraping and not a purchased cold database.
Keep one useful record per person, then evaluate business fit separately from relationship strength so a good company match is not mislabeled as a warm relationship.
Suggested people remain pending until you approve them. Only then should the workflow prepare a context-aware first touch or active opportunity.
How it works
Every keeps discovery, review, and revenue work connected without pretending the model should make the final call.
Use your Google relationship context, an export of your own LinkedIn connections, CSV records, or People you intentionally save. Every is not a hidden scraper or a resale contact database.
Set the audience, offer, constraints, and number of leads you want. A one-time search can use a specific goal; the recurring scan can keep reviewing the remaining eligible network.
A useful recommendation needs both: whether the person appears to match the work and whether there is a credible path to a conversation. The explanation stays visible so you can disagree.
Pending leads do not become active pipeline work until you approve them. Dismissals suppress that Person from future scans, and your feedback can teach Every a durable preference.
Every can prepare a strategy and context-aware draft using the channels actually available. Important external sends require confirmation or an explicit instruction.
Track the opportunity, prepare a proposal, create an invoice, collect payment, and preserve the relationship history in the same workspace.
Choose the right category
Both approaches can be legitimate. They solve different acquisition problems and require different evidence, safeguards, and tools.
Current boundaries
Product truth matters more than a longer feature list. These boundaries were last verified on August 23, 2026.
A practical evaluation
Bring in enough of your real network to expose duplicates, thin records, and mixed relationship quality.
Describe one service, one buyer shape, and meaningful exclusions. Broad prompts produce broad recommendations.
For ten suggested leads, ask whether the fit evidence is accurate and the relationship path is genuinely available.
Dismiss weak suggestions and record why. A good system should preserve your judgment instead of resurfacing the same person.
Track approved leads, replies, meetings, opportunities, proposals, and wins. Message volume is not the outcome.
FAQ
Every can do this when you authorize Google and import your own LinkedIn connection export. Every can evaluate candidates from that user-provided relationship data, keep them pending until you approve them, prepare contextual outreach, and carry approved work into CRM, proposals, invoices, and payments. It does not scrape LinkedIn or provide a purchased contact database, and important external sends remain under user control.
AI lead-generation software uses data and models to identify, research, prioritize, or contact potential customers. Every focuses on warm leads in relationship data a user authorizes, rather than selling a database of cold contacts.
No. Every does not sell a contact database. You can import your own LinkedIn connection export, bring in CSV data, connect authorized Google sources, or save a person intentionally with the browser extension.
No. Suggested warm leads first appear in a review queue. You choose which people to pursue, and important external sends require confirmation or an explicit send instruction.
Not if your goal is to buy or generate a large net-new list of strangers. Every is designed for people and companies already present in relationship data you choose to use.
Bring in the network you choose, review the evidence behind each suggestion, and decide who enters your pipeline.