Genesy AI

Instead of clicking through filters, you describe the buyers you want in plain language, like B2B SaaS CFOs in Spain with five or more years of experience. The platform turns that description into a targeted prospect list using real market signals and your company context. It suits teams that know their ideal customer profile but don't want to spend the afternoon building it.

Genesy AI combines contact data from more than 30 providers and cross-checks it, so you get verified emails and phone numbers rather than a single-source guess. Enrichment runs as a waterfall, which means if one source misses a field, the next fills the gap. That matters most for small markets where coverage is patchy.

You set the logic that decides what makes a lead valuable, and the AI ranks every contact automatically. Reps stop reading through the whole list and start with the names most likely to reply. The scoring stays tied to your own criteria, not a one-size-fits-all model.

Campaigns run across email and social from a single sequence builder. You can add steps like sending an invitation, liking a recent post, waiting a set number of days, and following up. It means one workflow covers the channels your prospects actually use, instead of two separate tools.

Every reply lands in one inbox and gets tagged by intent, such as meeting booked, interested, or referred. AI-assisted replies help reps respond faster and keep the conversation warm. Instant Slack alerts fire when a lead replies with interest, so the fast follow-up happens while the prospect is still engaged.

The platform warms up your sending domains automatically and manages deliverability, so outreach is less likely to land in spam. For teams sending at volume, this is often the difference between a campaign working and a domain getting burned.

Genesy AI connects natively with popular CRMs and sales tools, keeping records updated with verified data so reps don't retype what the platform already knows. It cuts the manual data entry that eats into selling time.