The moment a user realizes they are interacting with an automated comment or DM, all respect for the other person is lost. This automation of a relationship is perceived as disingenuous and can cause followers to permanently write you off, a risk that may outweigh the benefits of AI engagement.
LinkedIn's premium "Reserved Ads" feature secures the top ad slot but requires working with a sales rep and comes at a high cost. A more flexible and often cheaper alternative is to manually increase bids and budget on a standard campaign to achieve the same top-of-feed visibility.
About a year ago, LinkedIn began displaying the number of views on individual comments. This seemingly minor feature has gamified engagement, encouraging users to write more thoughtful, strategic comments to maximize their own visibility, effectively turning comments into valuable micro-content.
AI models increasingly cite LinkedIn for answers. While posts have short-term reach, LinkedIn articles and newsletters offer permanent, indexable content that LLMs can access indefinitely. This creates a lasting asset for discoverability and lead generation, with one expert attributing 30-40% of his leads to this channel.
While LinkedIn allows dynamic ad personalization using first name, company, or job title, the most personal options yield little benefit and can lower conversion rates. Using a broader field like "job title" has shown more promise for relevance without feeling invasive to prospects.
The "Boost Post" button on LinkedIn is a stripped-down advertising tool with severe limitations. You lose granular targeting, cannot pause the campaign without deleting it, and cannot see its performance in a central dashboard. Always use the full Campaign Manager to promote posts for better control and analytics.
LinkedIn is banning comments from scripts that don't involve a human click. However, new AI tools can automate an entire browser, mimicking human clicks and behavior. This makes detection nearly impossible, suggesting the future of AI commenting will be governed by user transparency rather than platform enforcement.
LinkedIn suggests running 5-7 ads per campaign, but doing so allows them to break the default frequency cap (one ad view per person per 24 hours). This makes the auction more competitive and costly. Running only two ads maintains the cap and provides clearer A/B test results.