Are you tired of spending myriad hours creating a social media strategy for your business? Have you overly wondered what would happen if you let AI take the wheel and plan everything for you? Would your results improve, or decline? Would your regulars love it, or walk away?
To test if AI is really ready to replace social media marketers and strategists, I decided to perform an experiment. I wanted to see what would happen if I asked AI (specifically ChatGPT) to create a strategy, schedule, and reprinting for my social media marketing efforts.
Here’s what I found out.
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Hypothesis: an entirely AI-created social strategy will not perform as well as a human-created one
Before diving into the experiment, let’s sieve our hypothesis. Based on previous experiences with AI-generated content, I predictable that the entirely AI-created social strategy would not perform as well as one created by a human.
Why? Considering AI lacks the worthiness to truly understand the intricacies of my brand, which is crucial in creating constructive social media strategies.
But of course, I was unshut to stuff proven wrong. Hey, maybe AI has gotten so advanced that it could create a social strategy that would outperform my own. Would I happily take when the hours I spend nerve-racking over social media plans? Absolutely.
Methodology
To test this theory, I used ChatGPT, a neural network-based AI platform that generates human-like text, to create a social media strategy for my LinkedIn profile. I only chose one social profile considering that’s my most zippy channel, and I wanted to have wipe data to compare with my normal social media efforts.
The tools I used in this experiment are:
- ChatGPT’s GPT-4 model
- Hootsuite for scheduling and wide analytics
- LinkedIn for simple analytics
The process I used is as follows:
- Ask ChatGPT to suggest a social media strategy for my business.
- Ask ChatGPT to suggest a week-long posting schedule based on that strategy.
- Ask ChatGPT to write posts and suggest images for me to execute the schedule.
- Compare one week of results to my business-as-usual (BAU) social media efforts, which would be based on a human-created strategy and copy.
Here’s how it all shook out.
Step 1: Prompting
My first step was to input a prompt into ChatGPT, asking it to “act like a social media strategist” and create a LinkedIn strategy for my business.
See my initial prompt below.
ChatGPT came when with a simple but, to my eyes, constructive strategy. So far, so good.
From here, I asked it to create a posting schedule.
Okay, not bad.
Next, I asked the AI to write posts for each of the days and suggest images to go with them.
This is where things started to get a little sticky. The posts it suggested were vague and not at all tailored to my brand. Fair enough, maybe I hadn’t given it unbearable information.
So, I asked it to build on its output and gave it some examples of my recent work.
Here’s what it came up with next.
Not too bad. Not something I’d write myself. But, a step forward at least.
Step 2: Editing
Next step was editing. I realized I definitely needed to revise a few posts as the AI had spit out a lot of vague, empty ideas. I did this by asking ChatGPT to refine its results.
Here’s what the revision of the Tuesday post looked like.
Data shows that AI is transforming content creation. 70% of businesses now use AI for generating content. Dive into the numbers.
Errrrr… what? This was incorrect. A quick Google showed that closer to 34% of all companies use AI for content generation. I asked it to revise then (actually, three times) until I got an well-judged post. Ugh.
Once I had the reprinting down, I noticed the post specified using an infographic image.
I used Jasper.AI to generate this. My prompt was:
“Make an infographic with this statistic related to AI and content creation: Data reveals that AI is reshaping content creation, with 34% of companies now using AI for content generation.”
Here’s the result.
Out of those options, I chose this image.
A few of the other posts took a lot of when and along between me and ChatGPT. While this was an experiment, I had to protect my brand. Inaccuracies, vague posts, and using the wrong tone were not going to fly here.
Ultimately, I spent three hours going when and along with the AI to refine these posts. That’s often as long as it takes me to write them myself.
Step 3: Scheduling
Now, I was ready to schedule these posts. Using Hootsuite, I scheduled the posts to go out over one week.
Luckily, this part was easy, thanks to Hootsuite’s user-friendly platform. This took me all of 15 minutes. Here are the final posts drafted in Hootsuite Planner.
Step 4: Analyze
Here are my content analytics for the week prior to the AI-generated posts.
Okay, nothing crazy, but I did have some interaction.
Here are my content analytics for the week of the AI-generated posts.
Crickets.
Let’s take a squint at visitor analytics. This is surpassing AI. Not too bad.
This is without AI.
Again, crickets.
Here’s my follower analytics prior:
And after.
You get the drift.
Results
TL;DR
- The AI-generated social media strategy and posts did not perform as well as my normal efforts.
- It took the same value of time, plane slightly longer, to create an AI-generated plan.
- Inaccuracies and vague posts had to be revised multiple times. Plane then, the quality of the reprinting was not up to my usual standards.
- Visitor engagement and website clicks decreased during the week of the AI-generated posts.
- AI can be useful for generating ideas and inspiration, but it’s not ready to fully replace human-created social media strategies.
Metric | With AI | Without AI |
---|---|---|
Impressions | 1 | 203 |
Visitors | 0 | 26 |
Followers | 0 | 1 |
Time Spent | 3.15 hrs | 3hrs |
As expected, the AI-generated posts did not perform as well as my usual social media efforts. In fact, they fell unappetizing in terms of engagement and overall reach.
While I was worldly-wise to schedule them quickly using Hootsuite’s platform, it took a considerable value of time to refine the copy and ensure it aligned with my brand.
Yet, plane then, the posts just weren’t up to snuff with my usual standards. They read like AI copy, and didn’t have the depth, detail, and uniqueness that would make them engaging.
When I saw the posts pop up on my feed, I scrolled right by. And I’m sure my followers did, too. It was just too difficult to requite the AI the information needed to write like I would write, and I think that the quality of the posts really unauthentic performance.
What do the results mean?
In conclusion, it’s unscratched to say that my AI-generated posts flopped. They received zero engagement and had no impact on my visitor or follow traffic.
Here’s a little dispersal of the AI social media strategy results.
1. Vague and unfocused posts
The ChatGPT-generated posts were often too general and not tailored to my merchantry or brand. This resulted in a lack of engagement from my audience, as they likely didn’t resonate with the content.
2. Inaccuracies
As shown in the example above, the AI couldn’t unchangingly provide well-judged information or statistics. This required multiple revisions and back-and-forth, ultimately wasting time and potentially rabble-rousing my brand’s credibility.
3. Lacks human touch
These results suggest that while AI may have made unconfined strides in generating human-like text, it still lacks the worthiness to truly understand the nuances of your merchantry or brand. This can result in AI-generated content that feels robotic and impersonal, ultimately turning off potential customers.
4. Time-consuming
Even with the heavy editorial oversight I gave these posts, the results were still underwhelming for me, and not something I’d personally create, or want to represent my brand.
AI is still useful for generating ideas, finding inspiration, and plane generating specific captions. But, it’s not yet ready to fully replace human-created social media strategies. As shown in this experiment, it required a significant value of time and effort to refine the AI-generated posts and make them suitable for my brand. This could potentially outweigh any time-saving benefits.
What I’d do differently next time
No surprises here, but giving the robots well-constructed tenancy of my social worth wasn’t the most successful strategy. There are plenty of reasons why—and I’ve gone over them above—but none are unbearable to get me to requite up on using AI for social media entirely.
That’s because, for all its limitations, AI is still a total game-changer when it comes to marketing. In a profession as creative and data-driven as ours, AI makes everything from ideation and megacosm to wringer so much faster. The technology may be in its infancy, but its potential is practically limitless.
And while this experiment was designed to see what happens when AI takes full control, that’s really not what most experts (including the team at Hootsuite) recommend.
AI is a unconfined tool, but it’s no replacement for your hard-won industry and brand-specific insights.
After all, you’re the expert on your audience, past results, and merchantry goals. If I was to perform this experiment again, I’d use AI as one of many tools in my arsenal. The weightier strategies include social-specific AI tools (like *ahem* OwlyWriter AI) as a supplemental resource, not the only source of truth.
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