Jesse

Lookalike audiences and integrations are the third feature group. Lookalike search allows users to find more accounts similar to their best customers instantly. By extending a recent search, Jesse scans the live web for companies with similar profiles or signals. This is useful for scaling outbound efforts without manually repeating research. Integrations are coming soon, including native connections with Zapier, HubSpot, Salesforce, and Google Sheets. Currently, users can export any saved list as CSV with one click. This feature enables teams to incorporate Jesse's leads into their existing workflows, whether for CRM updates, email campaigns, or further enrichment. The road ahead includes refinement filters like 'raised funding recently' or 'hiring aggressively' to narrow ICP before searching, and richer company profiles with revenue, tech stack, and funding rounds visible at a glance.

Jesse works through a simple workflow: describe your ICP using natural language, hit search, and receive a list of fresh leads with verified contacts within 15 minutes. The AI suggests the best roles to target based on your ICP, and you can add or remove roles easily. Once the list is generated, you choose which contacts to enrich or enrich all at once. The entire process requires no onboarding calls or setup fees. The comparison table on the site shows that compared to Apollo and Clay, Jesse has the lowest learning curve and setup time (minutes vs. hours or days) and uses prompt-based searching rather than filter-based or workflow-based methods. Data is sourced from the live internet searched now, not a stored database, ensuring lead freshness. This intuitive approach empowers even non-technical users to generate high-quality leads immediately.

Concrete use cases from case studies show Jesse's power in real scenarios. For Soccer Facilities, traditional tools returned zero results because these leads didn't exist in databases. Jesse scraped permit filings, local news, and construction announcements to find pre-construction facilities with decision-maker contacts, resulting in 12 meetings booked from a single list. For the SXSW Conference, traditional tools couldn't filter by conference attendance. Jesse scraped conference pages, LinkedIn posts mentioning SXSW, speaker announcements, and sponsorship lists to find 320 verified leads, leading to 15 sales conversations. In testimonials, Ritwika from Unscript.ai shares how Jesse found video production buyers scattered across e-commerce and D2C brands that were actively signaling intent—brands launching products or hiring video editors—leading to improved reply rates. Aastha from getayna.com uses Jesse to find fashion brands scaling their catalog or launching new collections, giving her team an edge over competitors using Apollo. Outcomes include more relevant lists, higher response rates, and deals closed faster.

Jesse targets B2B founders, VPs of Sales, Heads of Growth, Directors of Demand Generation, and SDRs at mid-market to enterprise companies. It is particularly useful for teams frustrated with low cold email reply rates and the manual work of building lists. Pricing starts with a free plan offering 50 company searches daily and 50 enrichments, and a Pro plan at $5 per month. No credit card is required to start. The tech stack includes AI-powered search from live web sources, multi-step email verification, and CSV export. Integrations with CRM and outreach tools are in development. Jesse is already trusted by over 200 sales teams and 2,500+ businesses. The takeaway is clear: Jesse replaces static, middlemanned databases with a direct line to buyers actively signaling need, making lead generation faster, more relevant, and more effective for any sales organization.

Updated 2026-06-19