LinkedIn Security Measures

Not every shortcut helps you grow. Some can hurt your brand. Lately, I’ve noticed a rise of AI-generated comments on LinkedIn. You know the type , “Great post 👍” or “Thanks for sharing 🙌” repeated everywhere, without context. Here’s the thing: engagement is not a task to automate. It’s the bridge to building real relationships. If your comments sound robotic, people will assume you didn’t even care to read their post. And when that happens, instead of building trust, you’re slowly breaking it. As a founder working with coaches and consultants, I’ve seen one truth again and again: 👉 The ones who grow their authority fastest are the ones who show up as real humans. So, how do you keep it real? - Don’t drop generic “good post” lines. Add one genuine insight. - Ask a thoughtful question - show you were present. - Share a short story or experience, people connect with people, not bots. - Add value with a tip or resource. Yes, it takes a few extra minutes. But those few minutes can open doors, to clients, collaborations, and opportunities. Because people don’t remember the bot-like “nice share.” They remember the human who made them feel seen. #PersonalBranding #LinkedInGrowth #Authenticity

🎩 One Bad Post Can Hurt You! Mark my words! When someone on LinkedIn comes across a low-quality, obviously AI-generated post, the reaction doesn’t stop at that post. I’ve heard colleagues say: 'Now I’m wondering how much of what I’m reading here is even real.' This is what researchers call the 'echo effect.' Once trust is shaken by poor or inauthentic AI content, people carry that skepticism into future posts. That means: - A few careless, unpolished AI posts can lower your credibility. - Audiences start scanning for 'robotic' tone and generic phrasing instead of engaging with the message. - Creators who do put genuine thought and experience into their words may get overlooked. If we want LinkedIn to stay a place for authentic thought leadership, it’s on all of us to: ✅ Use AI as a collaborator, not a ghostwriter. ✅ Add personal insights, lived experiences, and real-world examples. ✅ Check every sentence for tone and clarity before we hit 'Post'. Your content isn’t just representing you, it’s shaping the trust economy for everyone. Have you noticed this echo effect in your feed? 👇 #LinkedInTips #AIcontent #Trust #ThoughtLeadership #Authenticity

A small message for every small creator on LinkedIn. If your post gets 10 likes, 2 comments, and one of them is your friend… you’re doing fine. Because there’s a dirty little secret on this platform. Not every “viral” post is actually viral. Some people use: • engagement pods • automation tools • bot accounts • click-farm reactions to artificially push their posts in the first hour. And it works. For a while. The algorithm sees sudden activity and pushes the post further. Numbers go up. But here's the problem. Those numbers don’t build trust. Even LinkedIn has started cracking down on fake engagement and comment pods because they manipulate reach and authenticity. So if you are a small creator reading this… don’t compare your honest 20 likes to someone else's manufactured 2000. Real communities grow slowly. Fake numbers grow fast. But they collapse even faster. So here’s my suggestion. Instead of chasing viral tricks, let’s do something different. If you see a small creator writing honestly, leave a comment. Not a “great post 👏”. A real thought. Because 10 real creators supporting each other is stronger than 10,000 bot reactions. And if you’re a small creator reading this… I see you. Let’s build this platform the hard way. The real way. #RantOver #LinkedinCreators #Linkedin

Estimates suggest there are at least 100 million fake or duplicate accounts on Linkedin. Data from Toby Culshaw at the Talent Intelligence Collective reveals a massive data anomaly that every recruiter, sourcer, and B2B marketer needs to look at. When you measure LinkedIn’s "penetration rate" (the number of profiles against a country's actual labor force), the math stops making sense: UAE: 157.9% penetration (9M profiles vs 5.7M actual workers) USA: 141.8% penetration UK: 136.4% penetration Canada: 125.4% penetration Statistically, these numbers should never exceed 100%. So, what is actually driving this inflation? 1️⃣ Location Spoofing: International candidates changing their listed location to major economic hubs to get past geographic recruiter filters. 2️⃣ Ghost Duplicates: Abandoned profiles left behind when users lose access to old corporate emails and start fresh. 3️⃣ AI & Bot Farms: Fake profiles spun up to scrape data, run phishing campaigns, or artificially boost engagement. Conservative estimates suggest there are at least 100 million fake or duplicate accounts on the platform. For talent acquisition teams relying heavily on market mapping and data integrity, this is a massive hurdle. It means the premium we pay for data requires an extra layer of human verification. The era of blindly trusting a profile's location or title is over. Until verified profiles become the global standard, skepticism is your best tool. Have you noticed an inflation of ghost profiles or out-of-country applicants slipping through your location filters lately? Let’s discuss. 👇 *You may find the link to Talent Intelligence Collective report in the comment section

LinkedIn is cracking down on fake or automated engagement. That means if people use bots, AI tools, or “pods” (groups where members agree to like and comment on each other’s posts to boost visibility), LinkedIn will now officially reduce the visibility of those comments. In a new update to its overview of comments on posts in the app, LinkedIn has now added this: "To keep LinkedIn safe and professional, we may limit how many comments a member or a LinkedIn Page can make in a certain time period. Similarly, if we detect excessive comment creation or use of an automation tool, we may limit the visibility of those comments." It’s not about stopping people from commenting. It’s about stopping patterns of activity that don’t look genuine or professional. How might LinkedIn distinguish between a social media manager posting 100 genuine comments in a day and a bot doing the same remains to be seen... I imagine they'll use a mix of behavioural fingerprints, contextual awareness, network signals, timing and fatigue curves and linguistic markers. The grey zone will be those who use AI as a helper. LinkedIn will need to decide if that’s legitimate augmentation or automation abuse. Interesting times ahead!

LinkedIn recently announced more aggressive measures to combat engagement pods and automated commenting. For many, this is a technical update. For the professional who understands the value of their reputation, it is a reminder of why authenticity remains the only sustainable strategy on this platform. Engagement pods—coordinated groups that artificially boost "likes" and comments—are designed to trick an algorithm into granting more reach. But reach is a vanity metric if it is built on a foundation of manufactured activity. At Intero, we have always maintained that LinkedIn is a place for business. In business, your reputation is your most valuable asset. When you participate in automated engagement or use third-party scripts to "show up" in the comments of others, you are trading that reputation for a fleeting moment of visibility. Consider what a prospective client or a high-level partner sees when they look at your profile. They aren't looking for a high number of generic "Great post!" comments. They are looking for evidence of your expertise, your judgment, and your character. If they detect that your engagement is hollow or automated, the trust you have spent years building can evaporate in seconds. Authenticity cannot be outsourced to a bot. The value of your professional brand is rooted in the quality of your thoughts and the sincerity of your interactions. LinkedIn’s new measures will hide automated comments and restrict those who rely on them, but the real risk isn't the platform’s penalty—it is the erosion of your credibility in the eyes of your network. Business is built on trust. Trust is built through consistency and genuine relevance. If you are currently prioritizing the algorithm over the individual, it is time to reassess your strategy. Focus on being intentional. Focus on being relevant. Most importantly, focus on being you. Your reputation depends on it and no one can do it better.

LinkedIn's algorithm just shifted from tracking volume to tracking behavioural authenticity... and it's about time! According to a great report by Expand.io, LinkedIn’s detection systems are now advanced enough to spot automation patterns that used to fly under the radar. For Marketing Directors and sales teams this changes everything, especially if you’re still optimising for volume over value. Personally, I don't think this is a bad thing. LinkedIn is trying to beat the bots and rightly so. We're all getting fed up of seeing engagement pods, impersonal automated messages and obvious patterns in activity. If I had a shot for every time someone 'viewed' my profile and then sent me a connection request 1 hour later... It's also something we've been telling our clients for years... real human connection will always win. Without the fundamentals, you'll fail to see long-term growth. Yes, AI and automation are here to stay. They’ll become second nature for digital marketers and baked into every team, every tool, every touchpoint. But that’s not the problem. The problem is when people forget the fundamentals. The research is clear: → Companies using outdated, uniform tactics are seeing 78% account survival → Those building in human-like interaction hit 94% safety rates → LinkedIn’s now tracking timing patterns, weekend activity, scrolling behaviour, and penalising anything that looks robotic The end goal isn’t to avoid automation, it's about making sure it enhances your marketing tactics, rather than replacing your marketing all together. This is done by: ✅ Adding natural variability ✅ Building in genuine micro-interactions ✅ Respecting social signals ✅ Thinking like a marketer, not a coder Marketing has always been about connection, relevance, and timing. That hasn’t changed. If your LinkedIn strategy doesn’t reflect that, it’s not just underperforming. It’s at risk.

Engagement pods are finally on LinkedIn's radar. Daniel Roth (LinkedIn's Editor-in-Chief) just made it public: LinkedIn is actively cracking down on engagement pods, AI-driven comments, and artificial boosts. If you missed the term, here’s the quick version: 👉 Engagement pods are groups (sometimes paid, sometimes automated) that coordinate mass likes or comments, often with bots, to trick the algorithm. To the audience, it looks like success. In reality, it erodes credibility and devalues real conversation. What LinkedIn just said (via Oscar Rodriguez, Head of Trust): • Pods distort the feed. Systems are improving to spot and limit artificially boosted posts. • Third-party tools that enable manipulation are being reviewed, restricted, and may face legal action. • Low-quality patterns (clickbait, auto-comments, promo spam) are being flagged and downranked. Why this matters: ➡️ Credibility is currency. If your account gets flagged for inauthentic activity, reach drops and trust disappears. ➡️ Shortcuts backfire. Vanity metrics today can cost you real influence tomorrow. ➡️ Authenticity wins. Consistent, genuine voices will keep compounding. Do this now: 1/ Audit your tools. Remove any extensions or services that automate likes, comments, or DMs. Settings > Data privacy > Other applications > Permitted services. 2/ Kill the pods. If you’re in engagement groups or “guaranteed likes” threads, exit. Your long-term brand is worth more. 3/ Set a team policy. No pods, no auto-comments. Encourage authenticity and give guardrails. I’ve said it before and I’ll keep saying it: this platform rewards real voices. If you’re tempted by “AI engagement” or “guaranteed likes,” think again. LinkedIn is watching, and so is your audience. 👀 LinkedIn does not mess around. Once your account is gone... It is GONE! You will start from 0. Is that a risk you are willing to take? Play the long game. Show up consistently. Let your credibility compound. P.S Are you happy that LinkedIn is enforcing this?

As a technical recruiter who just hit the job market, I expected a challenge—but not this. In just five days, I’ve been messaged by three different "recruiters" who where obviously AI bots peddling ghost roles. LinkedIn, we have a problem. As a seasoned recruiter I have experience in spotting these cracks, imagine how many vulnerable job seekers are being misled. AI is making it easier for bad actors to scale deception, and the vetting process is failing to keep up. We need more than just "Verified" badges; we need a platform that prioritizes human authenticity over bot-driven engagement. Let’s keep the "Professional" in the Professional Network. #Recruiting #JobSearch #TechHiring

Is "authenticity” becoming a metric? LinkedIn has just rolled out an update that aims to limit the visibility of non-authentic comments. In practice, this means comments generated through bots, AI, automation tools or engagement pods may be penalised (in terms of "visibility" - the Holy Grail all are hunting for...) Automated strategies that rely on volume will lose traction, while genuine conversations should (at least in theory) rise to the surface. As Italian marketer I follow with overflowing interest, Daniele Manucci noted in his post (translated): “This update confirms that LinkedIn continues in the direction of privileging real conversations (as much as possible, I’d say, since sometimes it gets lost).” This raises interesting questions for anyone in business: on one hand, the platform is making a stand against superficial engagement - something most of us would welcome. On the other hand, however, it poses the question whether “authenticity” itself is becoming engineered, curated and ranked by an algorithm... (I mean, isn’t the algorithm deciding what is authentic and what not, itself, a paradox?!?) So here’s my question: what is real authenticity in professional relationships? And if authenticity is now favoured by LinkedIn’s algorithm, what kind of changes in behaviour will this provoke?