I’ve been on LinkedIn for years. It’s where I network, share content, and stay connected to the CFO and finance community. I’m not going anywhere.

But I’ll be honest: the feed needs some help. We need more authenticity and less spamminess.

Over the past year I’ve noticed a real uptick in clickbait ads, a lot of them originating overseas, that have nothing to do with professional development or business. They clutter the feed and cheapen the experience. When I’m trying to engage with a peer’s thoughtful post about working capital management and I have to scroll past silly looping videos or promotions to get there, something has gone wrong.

I started experimenting with Reddit about six months ago, mostly out of curiosity. I didn’t know what to expect because it appeared on the surface to be more consumer and social than useful for business conversation. What I found surprised me.

TL;DR: 

LinkedIn has the professional audience but a deteriorating feed. Reddit has tighter community moderation and better conversation quality in the right subreddits. Each platform has a distinct role for business promotion, and the rules around AI and third-party tools differ significantly between them. I’m going to do some contrasting between the two here and share some thoughts from my own business marketing perspective.

The Feed Problem on LinkedIn

LinkedIn’s content governance is top-down. Platform policies, algorithmic penalties for low-quality posts, community flags. It is supposed to work, but I don’t think it does a great job. Though I have noticed fewer ghost profiles that are basically spammers, which through 2025 seemed like a recurring issue.

Nevertheless, based on the volume of noise that I see, my sense is that volume has outpaced the moderation.

The clickbait problem is real and getting worse. An annoyingly high portion of what surfaces in my feed now comes from accounts I don’t follow, promoting content I’d never seek out, often from overseas operations that have clearly optimized for LinkedIn’s engagement signals rather than for professional relevance. To be fair, the ad targeting does a reasonable job of staying within my areas of engagement. But the inventory quality is a different issue.

The engagement bait posts compound this. “Comment ‘YES’ if you agree that hard work matters.” These perform well algorithmically because they generate comments. They contribute nothing. And because the algorithm rewards the behavior, more of it gets produced.

LinkedIn has made progress penalizing the most egregious offenders, but the structural problem remains: the moderation flagging is centralized, and the platform is too large for centralized moderation to be precise.

What Reddit Gets Right

The tight community moderation in the right subreddits actually produces better conversations than LinkedIn does on many topics. When a subreddit has clear rules and active moderators, the signal-to-noise ratio is dramatically better. Posts have to earn their place. Engagement happens because people actually want to discuss the topic.

The moderation is community-driven. Subject matter experts set norms, enforce standards, and remove content that doesn’t meet the bar. A subreddit focused on accounting or financial modeling will have members who can immediately spot and flag shallow content. That peer enforcement is faster and more contextually accurate than any centralized algorithm.

There’s also the well-known voting architecture that provides better quality signals than a like count. When a community can distinguish between content that is insightful, actionable, or well-researched versus content that simply provoked a reaction, the algorithm has better inputs. The result is that genuinely useful posts tend to be the standard and engagement bait is virtually nonexistent. I would add, however, that there are a fair share of “expert” posts that are factually wrong or presented from a shallow point of view with an aggressive, know-it-all attitude. The bottom line is that upvoting in an active subreddit helps drive better conversations and mitigates unhelpful and misguided comments.

I’ve found specific subreddits where the conversation quality is genuinely high. The r/CFORealTalk, r/Accounting, and r/smallbusiness communities have real practitioners asking real questions. When someone posts a detailed question about cash flow modeling or procurement controls, the responses are substantive. That doesn’t happen by accident. It happens because the community has standards.

More on Where Reddit Falls Short

Reddit isn’t perfect. I want to be clear about that.

Throwaway accounts are a persistent problem. People post half-baked takes or provocative questions, get their responses, and contribute nothing ongoing to the community. The anonymity that gives Reddit its candor also enables bad behavior that would never survive in a professional context. Confrontational responses are common, sometimes without factual basis, and the culture in some subreddits rewards contrarianism over accuracy.

For business promotion, Reddit is genuinely hostile territory if you approach it incorrectly. The communities are quick to identify and call out self-promotion. Post something that reads like an ad and the community will tell you, loudly. That’s actually a feature in terms of content quality, but it requires a different approach than most business owners are used to. Nevertheless, this moderation helps drive content quality.

Reddit also lacks the professional identity infrastructure that LinkedIn has. Anonymous contributors can’t be evaluated by their credentials, their employer, or their track record. That matters when you’re trying to assess how much weight to give someone’s opinion on a financial or technical question.

Reddit’s Structural Authority: The Google Partnership and AI Citations

Here’s something most LinkedIn-focused professionals don’t fully appreciate: Reddit has quietly become one of the most structurally important content platforms on the internet, and the implications go well beyond social media strategy.

In February 2024, Reddit entered into a partnership with Google, making its content available for training Google’s AI models. The contract is estimated to be worth approximately $60 million per year, and it gave Google real-time access to Reddit’s Data API. Shortly after, Reddit struck a similar deal with OpenAI estimated at around $70 million a year. In total, Reddit disclosed that licensing agreements with Google, OpenAI, and others were worth $203 million in 2024.

The practical effect on search was immediate. Google integrated Reddit content more prominently into its search results, leveraging the licensed data to provide users with richer, community-driven insights. This aligned with users’ tendencies to append “Reddit” to their queries to find more nuanced information. Reddit’s monthly traffic nearly tripled following the deal.

The AI citation data is even more striking. A June 2025 analysis of over 150,000 LLM citations found that Reddit leads all sources with a citation frequency of 40.1%, followed by Wikipedia at 26.3%. Reddit was cited twice as often as Wikipedia in the top ten most cited domains across AI in the three months ending June 30, 2025. Both Google AI Overviews and Perplexity relied on Reddit as their top source.

Across more than 680 million citations harvested from ChatGPT, Google AI Overviews, Perplexity, Gemini, and Claude between August 2024 and April 2026, Reddit topped the list across every major model, accounting for roughly 40% of all citations. The platform’s community-driven threads have supplanted traditional news outlets as the first point of reference for AI-generated responses.

There is volatility in this picture worth noting. ChatGPT cited Reddit in close to 60% of prompt responses in early August 2025 before collapsing to around 10% by mid-September, likely due to a Google parameter change. Despite the drop, Reddit and Wikipedia remain ChatGPT’s two most-cited domains.

Why does this matter for professionals thinking about content strategy? If AI systems are drawing heavily from Reddit to generate answers to business, finance, and operational questions, then participating credibly in the right subreddits is no longer just a community play. It’s a content distribution and citation strategy. Your well-reasoned answer to a cash flow question in r/CFORealTalk has a non-trivial chance of being surfaced in an AI-generated response. That’s a different kind of reach than a LinkedIn post impression.

Third-Party Tools and AI: The Rules Are Very Different

This is where the two platforms diverge significantly, and it matters if you’re building a content operation around either one.

LinkedIn has become increasingly permissive around AI-assisted content creation, though it draws clear lines around automation of engagement. Using AI to draft posts, generate ideas, or repurpose content is broadly accepted and widely practiced. LinkedIn’s own platform has integrated AI writing assistance directly into the post creation interface. Third-party scheduling tools like Buffer, Hootsuite, and Taplio are explicitly permitted through LinkedIn’s API. Automation of connection requests, direct messages, and engagement through bots is a terms of service violation and LinkedIn actively detects and suppresses it. The distinction LinkedIn draws is between content assistance, which is permitted, and identity or engagement impersonation, which is not.

For AI specifically, LinkedIn’s terms permit using AI to create content as long as you’re not misrepresenting authorship in a way that deceives other users. In practice, the entire creator ecosystem runs on some combination of AI drafting and human editing. That’s the norm now, not the exception.

Reddit takes a stricter position on both fronts. Reddit’s terms of service explicitly prohibit automated account activity, bot-driven posting, and coordinated inauthentic behavior. Third-party apps had a significant reckoning in 2023 when Reddit changed its API pricing structure, effectively shutting down many popular third-party clients and tools. The platform is more protective of its ecosystem than LinkedIn.

On AI content, Reddit communities are often explicitly hostile to it. Many subreddits have rules prohibiting AI-generated posts or requiring disclosure. The community detection of AI content is also surprisingly sharp in practitioner subreddits. If you post something that reads like it was generated without human editing and subject matter context, it will be called out.

As a practical matter, if you try to create a Claude Cowork content automation using Claude’s control of your account in Chrome, that won’t work. Claude correctly identifies the policy restriction and won’t perform those tasks. It appears, though I have not actually verified it, that Reddit can detect that kind of automated access as well.

The practical implication: LinkedIn tolerates a significant amount of AI-assisted content production and third-party scheduling. Reddit requires a more hands-on, authentic approach. You cannot automate your way to Reddit credibility.

How to Use Each Platform to Promote Your Business

These are different tools. Using them the same way will underperform on both.

LinkedIn for Business Development

LinkedIn is still the most direct path from content to client for B2B professional services. The audience is already in a professional context and receptive to business-relevant content. Here’s what works:

Consistency matters more than volume. Posting three times a week with substantive content outperforms posting daily with filler. The algorithm rewards accounts that generate genuine engagement, and genuine engagement comes from content that gives practitioners something they can actually use.

Use AI to accelerate drafting, but edit heavily for voice. The accounts that perform best on LinkedIn have a recognizable perspective. AI can produce a competent first draft. It cannot produce your point of view. The editing step is not optional.

Carousels and document posts get strong organic reach currently. They require more production effort but consistently outperform text-only posts for content that benefits from structure, like frameworks, checklists, or case studies.

Direct outreach still works when it’s specific. A connection request with a relevant observation about someone’s content or business converts far better than a generic template. AI can help draft the message, but the specificity has to come from you.

For professional services specifically, the goal is not virality. It’s sustained visibility with the right audience.

Reddit for Credibility, Community, and AI Visibility

Reddit requires a longer investment horizon than LinkedIn but can generate different kinds of returns, including some that LinkedIn simply cannot offer.

The path to credibility on Reddit is contribution before promotion. Spend time in the subreddits where your clients or prospects might be asking questions. Answer those questions thoroughly and without agenda. Do this consistently for weeks before you post anything that references your own work or services.

When you do reference your business, it should be in context. If someone asks a question that your content directly answers, linking to it is appropriate and usually welcomed. Cold promotion is not.

Reddit is also a research tool. The questions being asked in practitioner subreddits tell you exactly what problems your target audience is actively wrestling with. That intelligence is valuable for content strategy, regardless of whether you ever post there yourself.

AMA (Ask Me Anything) formats work well for credible practitioners. If you have genuine expertise and can commit to a real-time engagement window, AMAs generate concentrated visibility and authentic conversation. They require preparation and a track record in the community first.

And given Reddit’s position as the top-cited domain across AI models, a well-placed, substantive answer in the right subreddit is now also an AI citation strategy. That’s a return on contribution that didn’t exist two years ago.

What LinkedIn Could Borrow

LinkedIn has the professional audience, the credibility infrastructure, and the reach. What it hasn’t built is a governance model that produces consistently high-quality conversation at scale.

Community-driven moderation within professional groups would help. Giving trusted subject matter practitioners the ability to set and enforce content standards in their communities would produce better conversations faster than centralized algorithmic moderation. The expertise exists in the user base. The platform just hasn’t given it sufficient structural authority.

Better quality signals beyond engagement counts would help too. LinkedIn knows enough about its users to distinguish a reaction from a senior finance executive from a reaction from a newly created account. Weighting those signals differently would produce better content ranking without requiring anyone to see a downvote button.

The two platforms are solving different problems for different audiences. But the underlying moderation architecture Reddit has built, stripped of its anonymity culture and transplanted into a professional context, would make LinkedIn meaningfully better.

I’ll keep using both and update you when I have new insights.

FAQ

Can I use AI tools to manage both LinkedIn and Reddit? 

On LinkedIn, yes, within limits. Scheduling, drafting, and content repurposing tools are permitted through the API. Automated engagement is not. On Reddit, automation is broadly prohibited and community detection of inauthentic behavior is high. Treat Reddit as a hands-on channel.

Is Reddit worth the time investment for B2B professional services?

 It depends on your patience and your goals. Reddit won’t generate leads in week one. Used correctly over months, it builds a different kind of credibility than LinkedIn does. The research value and AI citation upside make the time investment worth considering even if you never land a direct client from it.

Why is LinkedIn’s ad quality declining? 

The platform’s growth in advertiser demand, particularly from international markets with less rigorous ad review processes, has outpaced its content governance. It’s a monetization tension that every major platform eventually faces. LinkedIn has not yet resolved it in a way that protects the user experience.

Salvatore Tirabassi is the Founder of CFOPro+Analytics, providing fractional CFO services to growth-stage companies. Based in New York, he leverages over 24 years of experience in venture capital and strategic finance to help entrepreneurs master cash flow, unit economics, and equity value creation through data-driven financial clarity.

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