AI for Social Media

1. 1

   Repurposing across channels

   Taking one article, video or piece of research and adapting it to the format and length each channel wants. Mechanical work, and a genuine multiplier on effort already spent.

2. 2

   Keeping the queue filled

   Preparing drafts ahead of each scheduled slot so there is always something ready, which is most of what consistency actually requires.

3. 3

   Drafting replies

   Writing responses to comments and messages for approval, so engagement does not depend on someone being free at the right moment.

4. 4

   Adapting tone per platform

   The same point written differently for a professional network than for a short-form video caption.

5. 5

   Summarising performance

   Pulling engagement numbers into a recurring summary so you can see what actually landed rather than guessing.

Social posts are public, instant and screenshot-able. The failure modes are not subtle: a factual claim about your own product that is wrong, a tone-deaf post scheduled into a bad news cycle, or copy that sounds nothing like the account it went out from.

None of that is expensive to prevent. A person glancing at a queue once a day catches essentially all of it, and costs a few minutes. Automatic publishing is something to earn into for the lowest-risk formats, not the default setting on day one.

It will not give you something worth saying. The accounts that work have a point of view, original material, or access to something other people do not have. A tool that produces more posts from nothing in particular produces more noise.

It also will not read a room. Judging whether a moment is right for a particular post is contextual and social, and getting that wrong publicly is one of the more costly mistakes available here.

• Start from content you already have — an article, a talk, a customer story — rather than asking for posts from scratch.
• Give it real examples of your voice, not a description of it.
• Keep approval on everything until you have seen a few weeks of output.
• Check what it connects to: your scheduler, your channels, your analytics.
• Decide who is accountable for what publishes. Automation does not move that.

Can AI run our social media accounts entirely?

Technically some products will, but it is rarely a good idea. Publishing without review means nobody catches a wrong claim, a badly timed post or copy that misses your voice — all of which are public and immediate. Keeping a person on approval costs minutes a day and prevents most of what goes wrong.

Will audiences be able to tell posts are AI-drafted?

Generic output is recognisable, which is an argument for editing rather than for volume. Posts built on your own material, data and perspective read very differently from posts generated about a topic in general. Some platforms also have their own disclosure rules worth checking.