LinkedIn lead generation that your people run and our team powers

Why do you not use LinkedIn automation tools?

Because LinkedIn prohibits them and the account is the asset. LinkedIn's help center states that it does not permit third-party software, bots, browser plug-ins or extensions that scrape or automate activity on the site, and that accounts using them risk restriction or shutdown. Tools that auto-send connection requests or messages fall into that category, whatever their marketing says.

A founder's profile with years of connections and posting history cannot be rebuilt after a ban. So our rule is fixed: we prepare everything outside LinkedIn, and every connection request, message, comment and post is sent by a person, by hand, from their own session.

What does a done-for-you LinkedIn lead generation program include?

Three parts that reinforce each other: a profile that converts visits, a content program that earns attention, and targeted outreach that turns attention into conversations. We run the research, writing and tracking each month; your sender spends a short block of time each day on approved actions.

Most programs start with one sender, usually the founder or a senior partner whose name buyers already trust, and add colleagues once the routine is running smoothly. Each extra sender gets a separate segment so prospects are never approached twice from the same company.

• Profile rebuild for the sender and the company page: headline, about section, featured items.
• Weekly posts drafted in the sender's voice from interviews, call notes and past wins.
• Target lists of decision makers matched to your ideal customer profile.
• Daily action lists: who to connect with, what to say and whose post to comment on.
• Reply suggestions, meeting booking and CRM logging for every conversation.

How does content pull inbound leads on LinkedIn?

Buyers who see useful posts from you for a few weeks are more likely to accept a request, reply, or reach out first. We interview the sender once a month, record the call, and turn the transcript into posts: a lesson from a client problem, a contrarian view on a common mistake, a short checklist, a behind-the-scenes look at how work gets done.

AI produces the first drafts and suggests hooks and formats, then our editor cuts anything generic before the sender reviews. Hootsuite's posting guidance suggests 1-2 LinkedIn posts a day for brands, but for an individual sender a sustainable rhythm of a few strong posts a week usually beats a pace that collapses in month two.

How do you find and research the right prospects?

We start from your ideal customer profile and build the list outside LinkedIn, using prospect data sources such as Apollo and Clay rather than scraping LinkedIn itself. Each contact is matched to role, company size, industry and region, then enriched with signals like recent hiring or expansion.

For every prospect on the day's list, a model summarizes what they post about, what their company does and one specific reason the conversation may be relevant. The sender sees that brief next to a drafted message, so a personal note takes seconds to check rather than ten minutes to research.

What do AI-drafted LinkedIn messages look like?

Short, specific and free of pitches in the first message. A connection note might reference a post the prospect wrote or a shared industry problem, with no link and no calendar request. Follow-ups come only after acceptance and usually offer something useful, such as a relevant post or a short resource, before any ask for time.

Drafts are queued in a simple board or spreadsheet with the prospect brief beside each one. The sender edits freely, sends from LinkedIn by hand and marks it done. Edits are logged, and we update the drafting instructions each month so drafts move closer to how the sender actually writes.

How do replies turn into booked meetings?

When a prospect replies, the sender pastes or forwards the thread into the tracker, and we suggest a response within the same business day. Interested replies get a booking link or proposed times; questions get a direct answer first. Nothing is sent automatically.

Each conversation is logged as a contact in HubSpot or Salesforce with its stage and next step, so a promising thread does not vanish when the sender gets busy. The monthly report shows accepted requests, replies, meetings and pipeline value, plus which posts and message angles drove them.

We also watch for warning signs on the account itself, such as a sudden drop in acceptance rate or LinkedIn prompts about unusual activity. If either appears, the daily queue shrinks and we review targeting and message tone before volume returns to normal, because a healthy account matters more than one busy month.