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SMM no longer works according to the “post on Friday to keep the page from being empty” scheme. Social networks have become a full-fledged arena where brands fight for attention and loyalty as fiercely as arbitrageurs fight for traffic.
But there is one problem that eats up budgets: content plans are made for the sake of it. A sign for a month with “motivational quotes”, “calendar holidays”, and a couple of vague posts about the product – and that’s it. The result: likes from friends, zero leads, and a dead community that doesn’t grow or respond.
As a result, the business sees the picture: a lot of posts, but zero results. The team burns out because it spins in an eternal wheel of generating content that no one reads.
This is where AI comes into play. Not as a “magic button” that will do everything for you, but as a real tool that can save up to 20 hours a month, weed out garbage ideas, suggest formats that really work for your target audience, and help you create a plan that doesn’t just “fill a slot in the calendar” but brings in subscribers, leads, and money.
👉 If you still look at AI as just another toy for copywriters, you are underestimating it. This is a chance to turn SMM from a “tick-box posting” into a machine that actually works for business.
Many SMMers take ready-made calendars from the Internet or look at what their competitors are posting and simply transfer it to their plan. As a result, we have a standard set: “Monday Motivation”, “Wednesday Useful Tip”, “Chocolate Holiday”. But each business has a different audience. While a fashion brand can still get likes on these posts, a B2B company or an arbitration niche will see them as alien noise. People don’t see the value, and the content fails.
Another extreme is when the entire feed turns into memes, jokes, and viral trends. In the short term, this can give you coverage, but in the long run, businesses lose money. Because people get used to perceiving a brand as a source of funny content, not as someone from whom they can buy something. A typical example: an account of an online electronics store with a bunch of memes about students and coffee, but no clear offer to buy a product.
Content is planned “by eye” without checking what really works. There’s no data on which formats generate subscribers, which generate sales, and which just collect random likes. Without analytics, the team wastes time on posts that don’t bring results. For example, stories with polls are actively clicked on, but no one goes to the site after them. Or vice versa – longreads with low reach bring real applications, but they are thrown out of the plan because they “do not come in well.”
Often, a content plan exists on its own, without any connection to the company’s strategy. The plan has everything: news, holidays, and trends, but it lacks the main thing – support for business goals. If a company wants to reach a new audience or sell a specific product, this should be reflected in the content. When this is not the case, social media turns into a “brand mood diary” rather than a lead generation channel.
AI can quickly collect data from open sources: what is currently being discussed on Reddit, what questions are being asked on Google, what topics are popping up in comments. This saves hours of research. For example, if your target audience is affiliate managers, you will get a list of the most frequent pains in a minute: scam offers, problems with payments, search for reliable partners. On this basis, you can immediately build content that “hurts”.
AI is good at brainstorming: post topics, headings, formats. You can ask: “Give me 20 ideas for Instagram posts about e-commerce for an audience of 20-30 years old.” As a result, you’ll get ideas for Reels, memes, guides, and interactives. Of course, they need to be weeded out and refined, but it’s a quicker start than inventing everything from scratch.
This allows you to make the content plan balanced: both for coverage and sales.
AI can take a single message and adapt it to the format of a particular social network. The same text for LinkedIn will turn out to be more expert and formal, for TikTok – light and short, for Instagram – a visual carousel or Reels, for Facebook – in the format of a longer post. This helps to scale content without losing relevance.
Algorithms based on your historical data can tell you which posts will perform well. For example, if you always do well with comparison tables or checklists, AI will suggest making more of these formats. It’s not a guarantee, but it’s a useful analytical tip that saves you tests and budget drain.
Imagine a classic content plan for social media: a Google Sheets spreadsheet with a “product post”, “useful tip”, and “Friday meme” for each day of the week. On paper, everything looks beautiful, but in practice, there are a minimum of likes, subscribers are silent, and requests are not growing.
Why is this? Because most content plans are made for show. They don’t take into account the pains of the audience, don’t adapt to business goals, and often copy other people’s templates. As a result, the company has the feeling that “we are actively managing social media,” but in fact, it is simply wasting time and budget.</span
AI changes this game. Now, instead of spending weeks coming up with topics and wondering what “might work,” you can put together a real content plan in an hour: with ideas based on trends, TOFU/MOFU/BOFU structure, and adaptation to different platforms. And most importantly, this is not a theoretical story, but a working tool that saves dozens of hours and allows you to focus on the result.
In this article, we will analyze a step-by-step framework on how to create a content plan for SMM with AI – from collecting input data to checking its adequacy and linking it to metrics.
Imagine a classic content plan for social media: a Google Sheets spreadsheet with a “product post”, “useful tip”, “Friday meme” for each day of the week. On paper, everything looks beautiful, but in practice, there are a minimum of likes, subscribers are silent, and requests are not growing.
Why is this? Because most content plans are made for show. They don’t take into account the pains of the audience, don’t adapt to business goals, and often copy other people’s templates. As a result, the company has the feeling that “we are actively managing social media,” but in fact, it is simply wasting time and budget.
AI changes this game. Now, instead of spending weeks coming up with topics and wondering what “might work,” you can put together a real content plan in an hour: with ideas based on trends, TOFU/MOFU/BOFU structure, and adaptation to different platforms. And most importantly, this is not a theoretical story, but a working tool that saves dozens of hours and allows you to focus on the result.
In this article, we will analyze a step-by-step framework on how to create a content plan for SMM with AI – from collecting input data to checking its adequacy and linking it to metrics.
Imagine a classic content plan for social media: a Google Sheets spreadsheet with a “product post”, “useful tip”, “Friday meme” for each day of the week. On paper, everything looks beautiful, but in practice, there are a minimum of likes, subscribers are silent, and requests are not growing.
Why is this? Because most content plans are made for show. They don’t take into account the pains of the audience, don’t adapt to business goals, and often copy other people’s templates. As a result, the company has the feeling that “we are actively managing social media,” but in fact, it is simply wasting time and budget.
AI changes this game. Now, instead of spending weeks coming up with topics and wondering what “might work,” you can put together a real content plan in an hour: with ideas based on trends, TOFU/MOFU/BOFU structure, and adaptation to different platforms. And most importantly, this is not a theoretical story, but a working tool that saves dozens of hours and allows you to focus on the result.
In this article, we will analyze a step-by-step framework on how to create a content plan for SMM with AI – from collecting input data to checking its adequacy and linking it to metrics.
Imagine a classic content plan for social media: a Google Sheets spreadsheet with a “product post”, “useful tip”, “Friday meme” for each day of the week. On paper, everything looks beautiful, but in practice, there are a minimum of likes, subscribers are silent, and requests are not growing.
Why is this? Because most content plans are made for show. They don’t take into account the pains of the audience, don’t adapt to business goals, and often copy other people’s templates. As a result, the company has the feeling that “we are actively managing social media,” but in fact, it is simply wasting time and budget.
AI changes this game. Now, instead of spending weeks coming up with topics and wondering what “might work,” you can put together a real content plan in an hour: with ideas based on trends, TOFU/MOFU/BOFU structure, and adaptation to different platforms. And most importantly, this is not a theoretical story, but a working tool that saves dozens of hours and allows you to focus on the result.
In this article, we will analyze a step-by-step framework on how to create a content plan for SMM with AI – from collecting input data to checking its adequacy and linking it to metrics.
Imagine a classic content plan for social media: a Google Sheets spreadsheet with a “product post”, “useful tip”, “Friday meme” for each day of the week. On paper, everything looks beautiful, but in practice, there are a minimum of likes, subscribers are silent, and requests are not growing.
Why is this? Because most content plans are made for show. They don’t take into account the pains of the audience, don’t adapt to business goals, and often copy other people’s templates. As a result, the company has the feeling that “we are actively managing social media,” but in fact, it is simply wasting time and budget.
AI changes this game. Now, instead of spending weeks coming up with topics and wondering what “might work,” you can put together a real content plan in an hour: with ideas based on trends, TOFU/MOFU/BOFU structure, and adaptation to different platforms. And most importantly, this is not a theoretical story, but a working tool that saves dozens of hours and allows you to focus on the result.
In this article, we will analyze a step-by-step framework on how to create a content plan for SMM with AI – from collecting input data to checking its adequacy and linking it to metrics.
Imagine a classic content plan for social media: a Google Sheets spreadsheet with a “product post”, “useful tip”, “Friday meme” for each day of the week. On paper, everything looks beautiful, but in practice, there are a minimum of likes, subscribers are silent, and requests are not growing.
Why is this? Because most content plans are made for show. They don’t take into account the pains of the audience, don’t adapt to business goals, and often copy other people’s templates. As a result, the company has the feeling that “we are actively managing social media,” but in fact, it is simply wasting time and budget.
AI changes this game. Now, instead of spending weeks coming up with topics and wondering what “might work,” you can put together a real content plan in an hour: with ideas based on trends, TOFU/MOFU/BOFU structure, and adaptation to different platforms. And most importantly, this is not a theoretical story, but a working tool that saves dozens of hours and allows you to focus on the result.
In this article, we will analyze a step-by-step framework on how to create a content plan for SMM with AI – from collecting input data to checking its adequacy and linking it to metrics.