Find high-quality customers worldwide with a fully automated AI agent

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 a sales rep takes 2–6 weeks to recruit and 1–3 months to ramp up, plus ongoing salary and management. HeyCivis only needs to be set up once, then works continuously year-round. Manual work by a human is limited by work hours and energy and can hardly reach the platform’s daily actionable limit; the bot runs at LinkedIn’s allowed pace and fills the day’s quota, and analyzes and executes faster — one bot delivers at least 10× the output of one human sales rep.

Human sellers are constrained by time zones and language — they cannot communicate 24/7 or across languages worldwide. HeyCivis takes this part: no rest needed, works in any time zone, supports 50+ languages, and handles target-market definition, finding decision-makers, judging fit and opening the initial conversation. Closing stays with human sellers: discovery, proposals and negotiation rely on domain experience and judgment. The bot does the first half and hands interested prospects to the sales team — it does not replace human sellers.

The real difference is deployment, data ownership and the access environment. Cloud SaaS keeps customer profiles and conversation history on a third-party platform where the data belongs to the platform, and the account typically logs in from datacenter servers — a datacenter IP that is easily flagged as anomalous, leading to account restrictions; it usually meters by active contacts, search credits or AI messages with hard caps, and once the cap is reached you must pay more or wait for the next cycle, so the quota is set by the plan rather than by a safe usage pace. HeyCivis runs on the local machine: the account logs in from your real IP and the device you normally use, so the access environment matches a real person’s; 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 output follows the account’s safe usage pace, maximizing that advantage.

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.

HeyCivis runs on your own machine, so the account logs in from your real IP address and the device you normally use — the access environment is identical to a real person’s. 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, with adjustable daily connection and follow-up quotas. Every message is written around the prospect’s own background — no mass messaging. The access environment, behaviour and message content all match 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 HeyCivis account set up. 2. Prepare a LinkedIn account (account and password), and make sure its interface language is set to English. 3. Download and install the client, sign in to your HeyCivis account, 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.

1. The quota is the maximum number of tasks assigned per day. It affects only two task types — connection requests and follow-ups — and can be set flexibly. 2. What actually consumes the quota are LinkedIn’s real outbound actions — connection requests sent and messages sent. The default connection quota is 20 and the follow-up quota is 25; the higher the account reputation, the higher you can set them. 3. When the quota is reached for the day, the remaining tasks are skipped and not executed, and work resumes the next day once the quota resets.