HeyCivis Let HeyCivis fully automatically find your ideal customers on LinkedIn every day — screen them with background checks, send connection requests, proactively follow up with personalized conversations, and book meetings for your sales reps.
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Prospecting → background screening → connect → cold outreach → follow-up → book meetings, all six steps run automatically.
Assigns tasks every day and follows each prospect’s progress on its own — running search, screening, connecting and follow-up.
Every action is visible — works and rests like a real person, tailors every conversation individually, never blasting identical messages, lowering the risk of account restrictions.
Customer profiles, conversation logs and follow-up progress all stay on your own machine, never uploaded to a server — they accumulate into your own customer asset.
Completes over 10× the work of a person in the same time, running customer prospecting tasks year-round.
Work emails are auto-filled for screened customers, enabling precise multi-channel outreach to the right people.
Ships with an Agent Skill that supports precise, assisted prospecting and follow-up on common AI platforms like WorkBuddy, Codex and Claude.
How it works, whether it’s safe, and what results to expect — answered here.
The core of prospecting is finding real, accurate customers and building enough trust for a business conversation — and LinkedIn concentrates both in one place. It covers 200+ countries and regions with 1.3B+ users and 71M+ companies, so there is enough scale to keep prospecting. People appear under real professional identities showing their company, role and history, so you can tell who someone is and whether they are worth talking to. Company, industry, experience and relationships sit together, making fit and entry points easy to assess. Outreach grounded in professional identity and business relevance reads as a business conversation rather than a cold intrusion.
Hiring typically takes 2–6 weeks to find the right person and another 1–3 months to ramp them up. Output depends heavily on the individual and on management, and when they leave, the relationships often leave with them. The bot starts working as soon as it is installed, runs year-round, follows the pace and criteria you set, and keeps every profile and conversation on the local machine. The practical setup is both together: the bot does the continuous prospecting and follow-up, and the sales rep takes over the high-intent prospects.
Customer development suits LinkedIn + AI: defining the target market, finding companies and decision-makers, judging fit and opening a credible conversation — repetitive and time-consuming. Closing suits human sellers: discovery, proposals and negotiation need domain experience and judgment. HeyCivis handles the first half and hands interested prospects to the sales team — it does not replace them.
The real difference is deployment and data ownership. Cloud SaaS keeps customer profiles and conversation history on a third-party platform where the data belongs to the vendor, and usually meters by active contacts, search credits or AI messages with hard caps. HeyCivis runs on the local machine: profiles, conversations and process data stay local and accumulate into the company’s own customer asset, with no hard cap by contacts or message count — real throughput follows the account’s safe usage pace.
Once started, the bot assigns tasks by itself during the active window (9:00–19:00): based on each prospect’s stage, it sends connection requests, checks request status and follows up, with search, screening, connecting and follow-up chained together. Actions run at a human-like pace — 5–8 seconds between actions, auto-rest of 10–20 minutes after 45–65 minutes of running — and the daily task plan and execution log are visible in the workspace at any time.
Search terms are generated automatically from the business intro and prospecting goal. For each candidate, the bot reads public profile data — role, company, industry, region and experience — and checks them against the target profile and screening criteria, with a reason for each decision. Unmatched prospects are closed with a recorded reason and never enter the connection flow. Prospects already known to be a fit can be imported directly as seed customers.
Operations fully mimic a real person: active 9:00–19:00, 5–8 seconds between actions, auto-rest of 10–20 minutes after 45–65 minutes of running, adjustable daily connection and follow-up quotas. Every message is written around the prospect’s own background — no mass messaging. Account behaviour matches normal human use, structurally avoiding bulk-action risk.
Customer profiles, conversation logs and follow-up progress all stay on the local machine and are never uploaded to a server. Only the text that needs processing is sent to the AI model service. The data can be viewed and exported at any time, and accumulates into the company’s own customer asset that does not disappear when tools or people change.
1. Contact us to purchase or request a trial and get your License key. 2. Prepare a LinkedIn account (email and password), and make sure its interface language is set to English. 3. Download and install the client, enter your License key, set up the LinkedIn account and AI model, add a lead-gen project with your booking link, then click “Start” to launch fully automated lead generation.