Regular posting on LinkedIn takes time. You need to come up with ideas, write posts, choose images and schedule posts. But there is usually little time for this – especially in the daily work routine. That’s why more and more freelancers, companies and marketing teams are turning to AI-powered tools to streamline individual steps of the process. The trick is to not have everything auto-generated content. When AI offers targeted support and the post is influenced by your own experiences and personal writing style, you get much better results. When you have a good workflow, you can dramatically speed up content creation without the posts feeling less authentic.
Look at your own workflow
Before you dive into any AI tool, you should first take a good look at your existing workflow. Many believe that artificial intelligence solves all problems with the creation of content. But in practice, the biggest problem is often elsewhere. Some people always have problems finding new topics while others spend too much time writing, editing or planning their posts. Often finished drafts sit un-published for days because there’s no time for them in the day-to-day workflow.
So it makes sense to put down the whole process, step by step, from the first idea to publication. Where are the biggest delays? How long is research? Are the posts written immediately before they are published or written a few weeks in advance? Anyone who answers these questions honestly will soon realize which tasks can be usefully automated, and which still benefit from their own experience and personal writing style.
That’s often where many people begin comparing various platforms or searching for a taplio alternative. Features can be very different from provider to provider. Some solutions focus on AI-powered content creation, while others offer full editorial calendars, analytics or collaboration tools. Therefore, it’s not about choosing the software with the most features, but the one that really simplifies and streamlines your workflow.
AI writes the first draft, you polish it up yourself
The first time someone tries an AI tool for LinkedIn, they’re often shocked at how fast a finished text gets created. Seconds later, the headline, the introduction, and even a full post are all on the screen. This saves time and is particularly useful when you are having trouble getting started or just need a first draft.
But you should never publish the first draft immediately. Even if they sound fluent, most AI generated texts are very general. They have no personal experience, no hard examples and no clear opinion. And it is these things that make readers stop and read to the end of a post.
A good approach is therefore to only use AI for individual steps in the process. For example, you could write a few headings or a first draft and then insert your own experiences from projects, conversations with clients, or your day-to-day work. Often, two or three personal examples are enough to turn a generic text into a post that feels a lot more authentic.
It is better to create a batch of posts, than to write a new one everyday
I see many people who decide to post something spontaneously every day on LinkedIn. But in practice, this rarely works out in the long run. Schedules change, urgent tasks take precedence and the post that was planned is put on hold.
When you schedule content creation in set time slots, it’s much less stressful. An hour or two a week is often enough to prepare several posts. These can then be released in the next few days or weeks.
Combining similar tasks is also useful. You collect topics one day, you write the first drafts the next day and then you edit them. It saves time and prevents you from spending every morning trying to figure out what your next LinkedIn post is going to be about. Regular activity on your profile helps too and, in the long run, this is usually better than posting once in a while and then having long periods of inactivity, even if your one-off posts get a lot of attention
Don’t Just Go for Likes
A post with 20 likes doesn’t mean that it’s a failure, and a post with 500 likes doesn’t mean that it’s a success. What matters is what you do with it when it’s out. Is your profile getting more traffic? Do you get messages from would-be customers? Do people come to your website or sign up to your newsletter? These types of reactions can often be much more meaningful than a large amount of likes.
This is even more important as LinkedIn now has over 1.3 billion members worldwide. This means that there is a ton of content competing for attention everyday. So if you want to know which posts actually work, you should check your statistics regularly.
Particular interest is shown in metrics such as reach, impressions and profile views. Over time you also learn which topics are particularly well received by your target group. Maybe short practical examples are read more than thorough technical articles. Or, posts about personal experiences generate a lot more discussion than pure industry news. The time of publication can make a difference, too. Some target audiences are active in the morning on the way to the office, some are more active in the early evening.
Example: Here you go: A consultant wrote a long post about a new marketing strategy. The post gets a handful of likes, but does lead to a few companies sliding into the DM’s. Another post with a general motivational message gets a lot of reactions but no single question comes out of it. Only by looking at the metrics can you see which content created the greater value.