You can create posts on your LinkedIn account from scratch or use tools like MagicPost. These tools help create articles faster and with lots of ease. But how does LinkedIn’s algorithm handle these AI-generated posts? Is it the same with human-written content? Let’s find out.
How does the LinkedIn algorithm work?
The LinkedIn algorithm works similarly to those of other social media platforms like Facebook and X, where posts are decided on authenticity, engagement, and relevance. It looks at the dwell time (how long the reader spends on the post), shares, likes, and comments. Posts that get quick comments or likes tend to show up in more feeds.
The algorithm also pays attention to your network. If you have active, engaged connections, your posts will also show up in the search results. Finally, the posts show up where they are relevant. For example, in an audience of digital marketers, an article on digital marketing would rank higher than motivational quotes. Timing helps as well. Posting on Tuesday mornings or Thursday evenings, when more people are online, can increase your chances of being seen.
Can LinkedIn spot AI-Generated content?
Does LinkedIn’s algorithm know when a post comes from a tool like MagicPost? So far, the platform has not said that it has a specific way of detecting AI content. It is believed that it is aware that such content is a problem.
Absolutely not. While the algorithm might pick up on AI content through patterns, it penalizes an article depending on how it is written. Most AI-generated content has issues like repetitive wording or feels too polished but lacks a personal touch. These issues make it less engaging and may cause the post to be downgraded. So, churning out tens of articles quickly but lacking anything unique is likely to cause low engagement.
Do generated posts perform better?
AI-generated posts can get good visibility, but they need some work to stand out. The content needs to be offering practical advice or giving thought leadership. However, if it is just some vague posts with little or no unique information, LinkedIn crawlers will rank it low.
LinkedIn uses similar parameters to evaluate human-written content. However, AI content tends to be too generic, as most tools just paste content from different sources with little strategy. So, without careful planning, AI-generated content is a little worse.
Tips to Make AI-Generated Posts More ‘Human’ and Engaging
Since you can use AI as a Linkedin post generator, focus on making the content more engaging. Here are some ways to do that.
Add your story to the article
Instead of just XXX ways to do things, add an interesting twist by adding your story. Tools like MagicPost may give you a solid draft, and all you need to do is add specific experiences that make your content more relatable. Here is an example: if you are talking of teamwork, give an example of how pulling together helps meet goals. Posts with personal details can see up to 30% more engagement because they connect better with readers.
Match your voice
Ensure that your AI tool has an output that sounds like you did it. Otherwise, the content will alienate you from your audience. You can train the AI to use your voice by uploading past articles to your account and asking it to create content that is similar in style and tone.
In the same breath, stay clear of overused words, as it makes the article less personalized and sound robotic. Create a list of overused trending words and ask your AI tool to avoid them.
Engage early
LinkedIn loves articles that get quick interaction with your audience. It ranks such content a lot better. Besides, replying to comments within the first hour of posting shows that the article is relevant. You can achieve interaction by posting when the target audience is likely to be online.
For most content meant for professionals, Tuesdays in the morning and Thursdays in the afternoon are the best times. However, you can test out when your audience is more likely to be online.
Keep formatting simple
Posts that are easy to read do better. Short paragraphs, bullet points, or a few emojis make your content approachable. Make the content easy to scan through and get the main points. Informative content is easily shared across the platform. MagicPost lets you tweak formatting to keep things clear, which can encourage people to stick around longer. More dwell time means better performance with the algorithm.
Cross-Check facts written by AI
AI may make mistakes. Therefore, it is important that you cross-check all the facts stated in AI-generated content. Giving wrong information may spell the death of your content goals. So, take time to check all references in your article. On the same note, it is good to provide references for any statistics that you add to your content.
Should you worry about being penalized?
LinkedIn does not penalize you for using AI to create your content. Its algorithm does not seem to target any content for demotion. However, if your content feels generic or fails to spark any engagement, you may have visibility lower than human-written articles with a similar topic. For example, a marketer posting generic AI advice might get less traction than someone sharing a specific tip from their work.
After generating your article, go through it and fix tone, repetition, and overused expressions before uploading it. Give it some personal flair and see engagement rates climb fast.
