Browse LinkedIn templates about AI
Adam Biddlecombe
Florian Camiade
7 ChatGPT prompts to boost your LinkedIn profile.
Your profile will become unmissable:
1. About
First, let's start with the "About "section.
It sets the tone for everything else.
2. Headline
Using the "About", you'll create your headline.
Don't hesitate to ask for variations if the result doesn't suit you right away.
3. Banner
This is a good place to talk about the value you bring.
Once again, the information in the about section will help you.
4. Post
Of course ChatGPT will help you with your posts.
Remember to add your personal touch to make it unique.
ChatGPT's default tone can quickly come across as "fake".
5. Hook
Without a hook, no one will read your posts.
You need to find a balance between attracting attention and the promise of your post.
6. CTA
Conclude each of your posts with a clear CTA.
Maybe you want subscribers, DMs, redirection to your newsletter...
7. Strategy
Once you've done all that, ask for a strategy that fits you.
ChatGPT is just the thing for this kind of task.
Remember that you can download the carousel by enlarging it and clicking on the button in the top right-hand corner.
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I hope this helps!
Follow me for marketing and IA secrets🗝️
Florian Camiade
ChatGPT will make your post go viral on LinkedIn.
Nothing to edit.
Here's how to make a high-end post in 3 minutes:
Step 1
-Choose a post made by a creator you like
Prefer a long post that has already worked well.
-Copy it.
You'll templatize it with ChatGPT.
Step 2
-Go to ChatGPT
-And paste the post you have chosen at the end.
You'll get a template.
Prompt:
"I'm going to show you a post on LinkedIn by popular creator [NAME].
I want you to turn this post into a template so that anyone from any industry can put in their information and get the same result.
Same writing style, same layout, same tone, same sentence length.
Here's the post:
[POST]"
The result will probably not be templatized enough.
In this case, keep asking it.
Prompt:
"I'd like this to be even more templatize so that really everyone can use it, whatever the subject or industry.
Same writing style, same flow, same tone, same sentence length."
Step 3
When you have your template, all you have to do is ask it to adapt to your subject.
It could be about your career, a theme...
I chose public speaking skills for this example.
Prompt:
"Here's the subject I want you to write about, use the template you've just made to adapt it: [TOPIC]"
Bonus Example
You can do it with an article too.
Prompt:
Here's an article, I want you to turn it into a post for LinkedIn, use the template you've just made to adapt it:
[LINK]
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I was inspired by Matthew Lakajev for this tutorial.
I hope it helps!
If you found this useful, follow me for more marketing and IA secrets🗝️
Dennis Tröger
Neil Patel
There are too many blogs out there.
Over a billion.
But even with there being one too many blogs…
Is it even worth spending any time on it?
We looked at data from over 1 million websites to answer that question.
Let’s first start with some stats:
A website with a blog has 75.29% more organic search traffic.
A website with a blog has 11.41% more repeat visitors.
A website with a blog generates 48.43% more backlinks.
A website with a blog receives 194.58% more organic social traffic.
A website with a blog has a higher time on site by 39 seconds.
A website with a blog has 292.79% more brand queries.
A website with a blog has a higher conversion rate by 8.16%.
Blogging is time-consuming and competitive.
But it doesn’t mean you still can’t get more traffic and sales by having a blog.
It’s worth the effort.
Allie K. Miller
These jobs will be redundant within three years due to AI.
1. Media jobs: AI can automate the work of advertising, content creation, technical writing and journalism.
2. Tech jobs: Coders, computer programmers, software engineers, data analysts, can all be done by AI.
3. Finance jobs: financial analysts and personal financial advisors.
Which job do you think will be obsolete within the next three years due to AI?
#jobs #ai #larsderooy
Allie K. Miller
I'm usually not one to forecast the future, but I'm genuinely shocked to see entry-level roles in software engineering and data science facing the threat of extinction.
These individual roles, which completely rely on technical expertise, face a significant threat from automation. Just a year ago, this scenario was hard to imagine.
Consider this: Individual contributors are often managed by a technical lead in a project. What's to stop the tech lead from relying on a team of AI agents instead of junior developers? There are already tools for this (like sweep(.)dev). Companies, looking to cut costs, will be closely monitoring these developments.
What about data scientists? The major cloud platforms are heavily investing in tools that enable anyone to perform advanced data analysis, including deep learning, using just plain language and drag-and-drop data.
Why would companies invest heavily in skilled data scientists when they could achieve similar results with a data analyst proficient in generative AI tools for cleaning and analyzing data, and for training and deploying models?
It’s a somewhat depressing thought, but it's a reality we can no longer ignore. Niche technical expertise is being automated out of existence.
I strongly believe future roles will require a combination of skills and knowledge from disparate fields to stay relevant. These roles may even become more creative.
For instance, a software engineer at a fintech startup will need knowledge of financial instruments and UI design, in addition to software development skills.
Similarly, a healthcare data scientist will need to understand human physiology and have wet lab experience, along with machine learning expertise.
I wouldn’t be surprised if the technical knowledge required for today’s entry-level roles becomes a 'good-to-have' for more generalist positions.
If you’re planning to focus solely on solving Leetcode or Kaggle problems in 2024, it might be wiser to consider broadening your skills across disparate domains to remain relevant.