The topics that drive the most LinkedIn engagement

Across 516,144 LinkedIn posts analyzed, the topic you choose before you write has a direct impact on your median engagement — the gap between the top and bottom of the ranking is a 2.2× factor, and every topic sits well above the overall corpus median of 18 likes.

In short

→ AI agents (82 median likes) and AI tools (80) dominate every topic category. → Personal branding is the strongest non-tech topic: 64 median likes, 3.5× the overall median. → B2B marketing closes the ranking at 37 median likes — 2× the corpus median, but far below the tech categories. → Volume and engagement are decoupled: personal_growth (12,000+ posts) shows 43 median likes, while ai_agents (1,500 posts) hits 82. → The topic amplifies — it doesn't compensate. A poorly built AI post still flops.

The full ranking: which topics perform the most?

From our analysis of 516,144 LinkedIn posts (9.6 million snapshots, 30,843 active profiles), here are the median likes by topic for categories with at least 1,500 posts:

| Topic | Posts analyzed | Median likes | |---|---|---| | AI Agents | 1,572 | 82 | | AI Tools | 1,543 | 80 | | Personal Branding | 8,839 | 64 | | Technology | 1,516 | 53 | | Community Building | 2,366 | 52 | | Job Search | ~2,000 | 51 | | Career Development | ~2,700 | 50 | | Personal Growth | 12,041 | 43 | | LinkedIn (as a topic) | ~8,800 | 41 | | Social Media | 15,233 | 40 | | B2B Marketing | ~3,000 | 37 | | Overall corpus median (all topics) | 516,144 | 18 |

Methodological note: these medians are observational correlations. Creators active on AI often have larger networks, which pulls the medians upward. Correlation is not causation. Sampling bias applies — full methodology and limitations in the 516,000-post analysis.

Why does AI crush the ranking?

Two forces compound: the LinkedIn audience — made up of decision-makers and active managers — is actively trying to understand how AI is reshaping their industries. And creators posting about AI tend to be well-established, with networks that amplify the reach of every post.

Worth noting: ai_agents (82) edges out ai_tools (80). AI agent posts are still relatively rare (1,572 vs. categories with 12,000+ posts), which limits saturation and sustains a high engagement-to-volume ratio. As saturation grows, the median will pull back.

Personal branding: the one topic nobody can copy

64 median likes, 3.5× the overall median — and your lived experience cannot be replicated. A post about AI tools from early 2025 is dated within months. A post about your career pivot, your first major mistake, or the decision that changed your trajectory stays relevant two years later.

LinkedIn is fundamentally a professional reputation platform. Posts anchored in real experience resonate with what people are actually looking for when they open their feed. To build lasting authority around one or two topics, read how to develop your thematic authority on LinkedIn.

The middle tier: solid and undersaturated

Technology (53), community building (52), job search and career development (50–51): these categories sit well above the overall median without the cyclical AI effect. Post shelf life is longer and competition is lighter.

B2B marketing (37) and social media (40) close the ranking, but they're still 2× above the overall median. The problem isn't the topic — it's saturation. A very precise angle within these categories can outperform the global benchmark.

Based on your profile, which topic should you pick?

→ You work in tech or AI: you have natural credibility in the top-performing category. Build a precise editorial line (agents, automation, prompt engineering) rather than posting generically about "AI." → You're a consultant, coach, or freelancer: personal branding and lived transformations are your strongest ground. The competitive edge is immediate — nobody else can write your posts for you. → You're targeting B2B marketing or social media: that's a saturation signal, not a veto. A highly specific niche angle within your vertical can beat the 37–40 general benchmark. → You're choosing between multiple directions: test 6–8 posts per topic over a few weeks and compare your own medians to the benchmarks. Corpus data points the way — it doesn't decide for you.

For a deeper look at the mechanics behind the ranking, LinkedIn topics and engagement breaks down why AI and personal branding structurally outperform everything else.

What to do

→ Pick a topic from the top third of the ranking that aligns with your actual expertise. → Don't sacrifice specificity — a niche angle in a saturated category can beat a generic AI post. → Pair the right topic with solid structure: strong hook, cited proof, well-structured long-form. → Stay consistent over time: LinkedIn rewards thematic authority, not one-shots. → Before you publish, run your post through the free LinkPost analyzer: 300+ factors, virality score, no credit card required.

Observational study by LinkPost (2020–2026, 62% French-language content, 516,144 posts). Medians calculated on categories with at least 1,500 posts. Correlation is not causation. Full methodology and limitations in the 516,000-post analysis.