Automated outreach and manual outreach fail for different reasons.
A sequence is predictable by design. The timing, message, and next step are decided when a prospect enters the sequence. Even with personalized fields, the underlying script is the same for everyone. By the time the third message arrives, the prospect's situation may have changed. Yours may have changed too. The sequence sends anyway.
Manual outreach keeps the judgment and context. It can feel natural because a person decides what makes sense now. In practice, it is usually more art than system. It depends on a founder or sales rep's motivation, and it breaks on the work around the work: find the prospect in HubSpot, locate them in Sales Navigator, decide what to say, send the interaction, and log the activity. As soon as other work takes priority, long-running nurture is usually the first thing to stop.
The useful middle ground has to do three things at once:
- Keep the quality close to manual outreach.
- Keep the interaction window open for as long as the relationship needs.
- Keep the effort per prospect low enough to sustain the work.
Oleg Sobolev's answer is an outreach factory: one factory for comments and one for DMs. It industrializes preparation and routing while each relationship stays adaptive.
What an outreach factory actually does
A “factory” organizes and surfaces the work for the rep. Sending can remain manual.
The raw material is everything happening around a prospect: their posts, the people they engage with, your campaign goal, previous comments, DM history, new signals, and follow-ups that are due. The factory turns that mess into a ranked workload for today.
LinkedIn gives you three basic ways to stay in touch:
- Posts make your profile and outbound more credible. Even if a post brings no inbound leads, it still gives a prospect context when they check who contacted them.
- Comments create light touches and visibility before or between direct conversations.
- DMs move the relationship into a private conversation and keep it moving over time.
This factory focuses on comments and DMs. Posts remain the credibility layer behind both.
The output is two daily feeds:
- Where should we comment today?
- Which DM conversations need attention today?
Each feed must answer the same two questions:
| Factory | Who and why now? | What should we say? |
|---|---|---|
| Commenting factory | Which people and posts deserve attention today? | What useful angle can we add to the post? |
| DM factory | Which conversations deserve attention today? | What is worth saying now, given the history and current context? |
Both have to work. If prioritization is weak, the rep still spends the day searching feeds and checking trackers. If the drafts are weak, every suggestion becomes an editing project. Either failure pushes the effort per prospect back toward fully manual work, and the factory stops being a factory.
Outreach still needs enough attempts and touches to produce results. At useful volume, low effort per prospect becomes an operating requirement.
The commenting factory: who and why now?
Prospects post unevenly. One person may publish every day, another once a month, and another not at all. A chronological feed gives the most active people most of your attention, even when they are not the most important people to engage.
A useful commenting factory needs four controls:
- Prospects: who belongs in this engagement strategy?
- Filters: which posts should never enter the queue?
- Priority: what makes one opportunity more important than another?
- One main feed: how should several engagement strategies compete for limited daily capacity?
The factory should place the best opportunities at the top of the feed. Daily capacity may be 10, 20, or 100 comments, while the number of available posts is usually larger. The rep can spend that capacity on the posts worth acting on.
Warm-up and slow cooking need different priorities
A warm-up campaign has a next stage. You may want three useful comment touches before sending a connection request or DM. In that case, it makes sense to prioritize prospects closest to completing the warm-up.
If John needs one more comment and Mary needs three, John should appear first. Finishing that interaction moves a real prospect to the next stage.
Long-term nurture works differently. A prospect who said “not now” does not need to be pushed through a short stage. Oleg calls this slow cooking. The goal is to stay familiar without stalking them, so touches should be spread across the list at a lower pace.
The same account may move from frequent warm-up to a comment every few weeks or once a month. The campaign goal should determine the pace and sorting strategy.
A campaign is an engagement strategy
Different campaigns deserve different shares of your attention. Narrow campaigns for different ICPs, products, and value propositions also preserve more specific context than one catch-all campaign.
An active outbound campaign may be high priority. Warm leads who replied to an email or visited the website may deserve another strategy. A slow-cooking nurture campaign can run at lower intensity. A topic campaign may focus on visibility.
The main feed combines them. Campaign priority, pace, filters, and relationship stage decide what reaches the top, so a person can spend limited review time on the best opportunities.
When prospects rarely post
Some markets are full of lurkers. Buyers in healthcare, construction, and other less-active categories may read LinkedIn without publishing often.
The first choice is still to prioritize prospects who post. Their activity gives you direct context. When that is not possible, a factory can look at the people and accounts they regularly engage with, then surface posts the prospect is more likely to see.
A comment on a colleague's or familiar creator's post can put you in the prospect's orbit. Exposure is plausible, never guaranteed. This is a fallback for markets where filtering for active posters would remove most of the ICP.
Filters matter here too. Politics, sensitive topics, irrelevant posts, or content where the sender has nothing credible to add should never consume review time.
The commenting factory: what should we say?
Correct timing does not rescue a generic comment.
The draft needs four kinds of context:
- Who you are: background, expertise, company, and campaign goal.
- How you sound: tone, approved examples, writing preferences, and edits the system can learn from.
- What you believe: talking points or content pillars you can credibly bring into a conversation.
- What the post says: text, image or video context, topic, and intent.
Then the draft needs a check: Is it relevant? Is it useful? Is it repetitive? Does it sound like something this person would write?
Earlier Extrovert drafts sometimes read like AI. Better models alone did not solve it. In some cases, Extrovert uses five to seven model calls for one comment: one model drafts, another reviews, and another corrects violations of the user's style and Extrovert's anti-slop rules. Oleg's shorthand is “fight slop with more slop.” The extra compute is there to reduce the human editing cost.
The result is a draft to review, edit, skip, or regenerate, with the blank-page work already done.
Extrovert can build voice context through its own assistant. Oleg recommends connecting an external assistant through MCP when it already knows more about the user's business, strategy, and writing. The same shared context can support posts, comments, and DMs.
The DM factory: treat outreach and follow-up as one process
A fixed sequence usually treats a reply as the end of automation.
A prospect can say they will book a call and disappear. Someone who ignored three messages may become relevant after a job change. A quiet opportunity can reopen months later because you shipped something useful for them.
The DM factory treats first outreach, replies, follow-up, and reactivation as one continuous process.
Its daily feed should answer a practical question: Which conversations need attention today?
The rep should not have to choose between checking new conversations, following up with old ones, and searching for people who promised to reply. The factory puts due conversations in one recommended view. The operating goal is inbox zero: review what needs attention, act or skip, and move on.
Cadence should adapt to the market and the conversation
Oleg's rule depends on total addressable market and account value. The human effort you are willing to spend on a prospect should track the economics of that relationship.
If the market is large, two or three unanswered follow-ups may be enough before moving on. For a small list of valuable accounts, space follow-ups farther apart and keep the relationship open longer.
A reply restarts the process. If the prospect engages and then goes quiet, the factory can schedule the next follow-up again. If they never reply, the pitch-led sequence should eventually stop.
The DM factory: restart when something changes
After roughly three pitch-led attempts, another version of the same pitch rarely improves the conversation.
A useful restarter comes from one of two places:
- Something changed for the prospect.
- Something changed for you.
On their side, that may be a launch, new role, shipped product, company development, or relevant post. On your side, it may be a new resource, webinar, event, feature, or piece of information genuinely useful to them.
A simple question such as “I saw your launch. How did it go?” can reopen a real conversation.
Timing should respond to that context. If a prospect publishes something relevant today, waiting for a calendar-based follow-up next month wastes the moment. If nothing changes, the cadence can remain slow.
In anonymized Extrovert usage data, Oleg reported three figures that explain why this matters. In the social-touch comparison he described, connection acceptance was shown as 27% → 41%, based on what he recalled was roughly 500,000 connection requests. He also reported that 52% of conversations reaching a first reply needed at least two touches. He said about one in five stalled conversations could be revived with consistent follow-up and Conversation Restarter signals. These are observational figures and do not guarantee results. They show why credibility, repeated contact, and a long interaction window matter.
The DM factory: use the whole relationship to draft
A first name and job title are not enough context for a useful DM.
The draft should use:
- the conversation history and what has already been said;
- recent profile, post, or company context;
- relevant selling points, resources, objection handling, and links;
- the sender's voice and campaign rules.
Templates can tell the system when to mention a resource, how direct to be, or which question fits a situation. The message then adapts to the prospect and the conversation.
Oleg's own example starts with a low-pressure offer to support a prospect's content. If they post, the next message can refer to a real post. If they do not, the factory follows a different rule. The system should follow the sender's actual outreach strategy and use Oleg's opener only where it fits.
Who runs the factory?
Oleg describes three review modes.
1. You review everything
A founder or rep opens the feed and checks each suggestion. This gives maximum control and still removes the work of finding opportunities and starting every draft from zero.
2. Automate selected parts
A tested comment campaign can run with bounded automation and its own daily volume. Oleg's example is to run a campaign for a week, judge whether the output is decent, and only then allow a limited number of comments per day. Each campaign has to earn that trust.
As of September 2, 2026, selected comments could be automated; automated DMs were not yet available.
3. Your AI agent reviews the feed
Through MCP, an external agent can inspect the same feeds, drafts, priorities, and settings visible in Extrovert. It can apply business context Extrovert may not have, approve straightforward items, and bring uncertain ones back for review.
The agent handles routine triage. The founder defines the strategy and stays involved where judgment matters.
The three modes can coexist. Review VIP accounts personally. Use bounded automation where the campaign has earned trust. Let an agent reduce the volume of routine decisions.
From LinkedIn factory to GTM operating system
Oleg framed Extrovert as the system his team is building. The same questions can organize email or other social workflows: who deserves attention now, why now, and what is worth saying in the current context?
He sees those principles as the basis for a broader GTM operating system. As of September 2, 2026, Extrovert remained a LinkedIn product.
One practical way to build the factory
Start with the current sales process:
- Define the relationship goal for each campaign: warm-up, active outreach, slow cooking, visibility, or another specific job.
- Set who belongs in each campaign and filter out posts you would never join.
- Decide what “why now” means for that campaign.
- Set pace and priority around real daily capacity.
- Combine campaigns into one comment feed.
- Add voice, expertise, approved examples, and talking points for comment drafts.
- Bring new DMs, due follow-ups, and stalled conversations into one DM feed.
- Set separate rules for pitch-led follow-up and context-led restarters.
- Give DM drafts the full conversation history and current prospect context.
- Decide which work stays personally reviewed, which campaigns can use bounded automation, and which decisions an agent can triage.
A rep should be able to open two feeds, review a finite list, and know why every item is there. Remaining search work or wholesale draft rewrites show what still needs fixing.
FAQ
What is MCP in this workflow?
MCP connects Extrovert to an external AI assistant. The assistant can use its broader context to help configure voices and campaigns, inspect queues, review drafts, and carry out actions exposed by Extrovert. These capabilities reflect the product as of September 2, 2026.
How many unanswered DM follow-ups should you send?
Oleg's answer depends on the size of your market and the value of each account. For a large addressable market, he recommends two or three follow-ups and then moving on. For a short list of high-value accounts, he recommends much longer nurture with a slower cadence.
Should comments and DMs use the same long-term cadence?
Oleg recommends more frequent comments and less frequent DMs. His examples are a comment every few weeks or once a month, and a DM every two or three months, adjusted to list size and account value.
Can the first DM reference a prospect's profile or posts?
Yes. Oleg says DM suggestions can use the prospect's profile and recent posts, along with your voice, instructions, selling points, and adaptable templates. You can review and rewrite every suggestion.
How do you keep irrelevant people out of the commenting feed?
For outreach, Oleg recommends a people campaign built from a defined ICP list. Topic campaigns scan broader LinkedIn content and are better suited to visibility. Campaign filters, pace, and priority then control which opportunities reach the main feed.
Can different products or ICPs use separate strategies?
Yes. Oleg recommends narrower campaigns for different ICPs, products, or value propositions so each can use its own context and engagement strategy.
