Why do AI social media posts all sound the same?
AI social media posts sound the same because they are generated from a topic, so every brand gets the same hooks, the same emoji and the same claims. Posts that work start from something only your business knows or did.
A fictional 10-person outdoor gear repair service, Mendwell, has a story: 'fixed a 22 yr old tent for a customer who's walked the coast path with it 6 times. replaced 3 poles, new zip, seam taped. took 2 weeks. she sent a photo from the trail. we want more people to repair not replace. also new: we now do rucksack straps.' The owner, Ade, wants posts for LinkedIn, Instagram and a short post for X. His first attempt was 'write a social media post about sustainability for an outdoor brand', which produced 'Let's make a difference together! Every repair saves the planet!'
How do you create social media posts with AI step by step?
Write down one source idea with its facts, define your brand voice with examples, ask for a separate draft per platform with that platform's audience and format, then check claims and permissions before scheduling.
1. Capture one source idea
A real story, result, product change or lesson, with the facts written out. One idea per batch of posts.
2. Describe your voice with examples
Paste two or three past posts you like and list words you never use. Adjectives like 'fun' or 'professional' are not enough.
3. Brief each platform separately
Name the platform, its audience for you, the length you want and the single action. A LinkedIn post for buyers differs from an Instagram caption for customers.
4. Ask for options, then choose
Ask for two or three openings per platform and pick one. The first hook is rarely the best.
5. Check claims and permissions
Every claim must be provable, and customer stories, names and photos need the customer's permission.
What does a weak and an improved AI social post look like?
Weak result: 'Repairing gear is the most sustainable choice you can make! Our expert team saves thousands of items from landfill every year. Join the repair revolution!' The 'most sustainable choice' is a broad environmental claim Mendwell cannot prove, 'thousands of items' is invented, and the post says nothing specific.
Improved, from the source idea and voice examples. LinkedIn draft: 'This tent is 22 years old and has walked the coast path six times. Last month we replaced three poles, fitted a new zip and re-taped the seams. Its owner sent us this photo from the trail last week. If your team buys outdoor kit, ask us about repair before replacement. We now repair rucksack straps too.' Instagram draft: a shorter caption that opens with the photo, '22 years, six coast paths, one very loved tent', and lists the three repairs. X draft: one sentence and the photo. Ade checks that the customer agreed to her story and photo being used, and removes an AI suggestion that repair 'halves your carbon footprint', which nobody had measured.
How do you check AI social posts before publishing?
Check every claim, every number and every mention of a customer before publishing, and read each post on the platform preview as a stranger would. Social posts are public, quick to screenshot and hard to retract.
Provable claims
Environmental, health, price and 'best' claims need evidence you hold. Advertising rules in many countries apply to social posts too.
Permissions
Customer names, stories, photos and tags need their consent.
Platform fit
Check length, line breaks and hashtags in the platform's own preview.
Voice
Remove phrases you would never say aloud and generic calls such as 'join the revolution'.
What are the common mistakes with AI for social media?
The most common mistake is generating posts from a topic rather than a real story, which produces content indistinguishable from competitors. Others: pasting the same post on every platform, publishing green or health claims without evidence, using a customer's story without permission, and stuffing posts with hashtags and emoji the AI added by default.
Where does this lesson fit in a Tosheo.ai path?
Social media posts sit in the Tosheo.ai marketing path, after the blog writing and brand voice lessons, and suit owners of small businesses and agencies as well as marketers. The hands-on task asks the learner to turn one source idea into three platform drafts, and the rubric feedback checks for unprovable claims, platform fit and voice.