Comment Fatigue (Definition)

Comment fatigue is the mental and creative exhaustion that occurs when you need to leave many daily comments on LinkedIn. This fatigue often leads to repetitive, generic, and low-quality comments.

Why it matters

LinkedIn values comment quality over quantity; generic comments are penalized. Comment fatigue is a real issue for active professionals—AI can suggest fresh ideas while you preserve authenticity by personalizing before publishing.

Example

After commenting on 20 posts during the day, you start using the same formulas: "Excellent article!", "Thanks for sharing", "Very relevant". Your comments become predictable and generic, which reduces their impact and your visibility. With AI help to generate varied ideas, you can maintain quality even after many comments, provided you always personalize before publishing.

Common mistakes

1. Commenting on autopilot: Leaving identical or very similar comments on multiple posts is detected by LinkedIn and penalized. 2. Ignoring fatigue signs: Continuing to comment when you're tired produces low-quality comments that harm your reputation. 3. Prioritizing quantity over quality: Better 5 quality comments than 20 generic ones. 4. Not using help tools: Refusing to use AI or other tools to generate fresh ideas limits your ability to maintain quality long-term. See also: Human-in-the-Loop, Comment Strategy, AI-Generated Comments, Engagement at Scale

FAQ

Ready to try Meet Lea?

Discover why thousands of professionals choose Meet Lea to assist their LinkedIn comments in an intelligent and secure way.

Discover Meet Lea →

Related posts:

Best LinkedIn Automation Tools in 2026: Complete Comparison Guide

Discover the best LinkedIn automation tools for lead generation, outreach, and engagement. Compare features, pricing, and find the right tool for your needs.

Paul Irolla
1/23/2026

LinkedIn Ads Conversion Rate - Comparison and Benchmarks

Discover LinkedIn ads conversion rates vs other platforms. Format comparison, conversion benchmarks, and factors influencing conversion.

Paul Irolla
1/28/2026

How to Grow on LinkedIn: Statistics and Strategies

Discover data-driven statistics and strategies to grow on LinkedIn. Posting frequency, frequency, profile optimization, employee advocacy, and growth metrics.

Paul Irolla
1/24/2026