Is Automated LinkedIn Post Finding Actually Useful for Agencies and Outreach Teams?

If you run an agency, do outreach, or handle LinkedIn lead generation, the short answer is yes: automated LinkedIn post finding can be genuinely useful when it supports real human engagement instead of replacing it.

The Reddit post describes a pretty practical workflow: finding relevant LinkedIn posts twice a day, saving them into a spreadsheet, reviewing the author’s current role and headline, then commenting organically to build familiarity before sending a connection request. Honestly, that makes sense. It is a smart way to warm up outreach without jumping straight into a cold pitch.

But there is an important difference between helpful automation and spam at scale. That is where a lot of people get this wrong.

Let’s break down whether this kind of workflow is useful, who it helps, what the risks are, and how to make it work without sounding robotic.

Why does automated post finding work in the first place?

LinkedIn is still one of the best platforms for relationship-based B2B growth. People do not just buy because they got a message. They often buy because they have seen your name before, noticed your comments, or started to associate you with helpful insights.

So when you comment on someone’s post before connecting, a few good things happen:

• You create familiarity before the connection request lands.
• You give context to your name and profile.
• You make the outreach feel less random.
• You improve acceptance rates because there is already a touchpoint.

That part is very real. A warm introduction, even a small one, tends to outperform cold outreach.

According to LinkedIn’s own business resources, relationship-building and trust matter a lot in social selling and B2B conversations. You can read more here: LinkedIn Social Selling.

So, would this be useful to other people?

Yes, but not equally for everyone.

This kind of system is especially useful for:

• Agencies trying to build warm prospecting workflows
• Freelancers and consultants targeting niche decision-makers
• Founders doing account-based networking
• Sales teams who want better-timed and more relevant outreach
• Personal branding teams managing audience engagement on behalf of executives

It is less useful if someone expects the workflow itself to generate results without thoughtful follow-through. A spreadsheet of posts is not the value. The value is what you do with that information.

What makes this better than basic LinkedIn prospecting?

A lot of people still prospect in a very flat way. They build a list, send connection requests, and hope something sticks. The problem is that most inboxes on LinkedIn are crowded, and most cold messages sound the same.

Automated post finding adds another layer: timing and relevance.

For example, if a VP of Marketing just posted about hiring challenges, campaign performance, attribution issues, or agency partnerships, that gives you context. You are not guessing what matters to them anymore. You can engage with the topic they already care about.

That makes your comment better, your connection request more natural, and your later conversation more informed.

It is basically moving from “I found a person” to “I found a person talking about something relevant right now.” That is a much stronger starting point.

What should people be careful about?

This is where the workflow can go sideways.

Just because something is automated does not mean it should be scaled aggressively. LinkedIn is sensitive to unnatural behavior, and users are very good at spotting fake engagement.

Here are a few things to watch:

• Do not automate comments. Finding posts is one thing. Auto-commenting is where quality usually collapses.
• Do not over-prioritize volume. Ten thoughtful comments can outperform one hundred generic ones.
• Do not force relevance. If the post is not a fit, skip it.
• Do not turn every interaction into a pitch. Commenting just to sell usually backfires.
• Stay within LinkedIn’s platform rules. Always think about compliance, scraping risk, and account safety.

If someone is building a tool around this idea, those points matter a lot. The strongest version of the product is not “comment faster.” It is “find better conversations worth joining.”

LinkedIn’s professional community policies and user agreement are worth reviewing if you are automating any part of your workflow: LinkedIn User Agreement.

What would make this workflow genuinely valuable?

If you are asking whether other people would want this, the answer depends on the features and how clearly it solves a real pain point.

Here is what would make it compelling:

• Keyword and topic filtering so users only see relevant posts
• Ideal customer profile matching by title, industry, company size, or geography
• Engagement prioritization so high-value conversations are surfaced first
• Context fields like role, headline, company, and recent activity
• Daily or twice-daily digest to save time
• CRM or spreadsheet integrations for outreach tracking
• Notes and tagging so teams can collaborate without duplicate effort

The big idea is this: people do not really want “more posts.” They want better opportunities to engage with the right people.

Would buyers pay for it?

Some definitely would, especially if it saves research time.

Think about the cost of manual prospecting. If someone on a sales or agency team spends one to two hours a day searching LinkedIn, checking profiles, and identifying relevant conversations, a workflow that reduces that time can be very attractive.

But buyers will probably ask a few fair questions:

• How accurate is the post matching?
• How fresh is the data?
• Can I filter by my niche?
• Does it reduce manual research?
• Is it safe to use?
• Will this help me get more replies, meetings, or accepted connection requests?

If you can answer those clearly, then yes, there is likely a real use case.

How should someone actually use a system like this?

Here is a simple way to use automated LinkedIn post finding without making it weird:

1. Define your audience clearly. Who are you trying to build relationships with?
2. Track relevant topics. Pick themes tied to actual pain points or business triggers.
3. Review the post manually. Make sure it is worth engaging with.
4. Write a real comment. Add perspective, ask a thoughtful question, or build on the idea.
5. Wait before connecting if needed. Let the interaction feel natural.
6. Send a contextual connection request. Mention the post if it makes sense.
7. Keep nurturing. One comment is not the whole relationship.

This is where people often ask: What kind of comment actually works?

A good comment usually does one of these:

• Expands on the point with a relevant insight
• Asks a smart follow-up question
• Shares a brief example from experience
• Agrees, but adds something useful

A weak comment is usually just “Great post,” “Love this,” or something obviously written to be seen rather than to contribute.

Could this help with content strategy too?

Yes, and that is an underrated part of the idea.

If your system keeps surfacing conversations from your target market, you are also learning:

• What people are talking about most
• What pain points keep repeating
• What language decision-makers use
• What content gets attention in your niche

That can improve not just outreach, but also your own LinkedIn content strategy. HubSpot has a useful overview of LinkedIn marketing strategy here: HubSpot LinkedIn Marketing Guide.

If you prefer video breakdowns, this YouTube channel often shares practical social selling and LinkedIn ideas: LinkedIn on YouTube.

Final thoughts

So, is automated LinkedIn post finding useful? Yes, absolutely—if it is used to support thoughtful human engagement rather than mass-produced activity.

The Reddit workflow is practical because it solves a real problem: finding relevant conversations takes time, and most professionals do not want to spend hours digging through the feed every day. A system that surfaces the right posts, gives basic profile context, and helps you engage more intentionally can be valuable for agencies, sales teams, founders, and consultants.

The key is to keep the process human. Use automation to identify opportunities, not to fake relationships. If the comments are real, the targeting is relevant, and the outreach is respectful, this can be a strong warm-networking strategy.

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