Understand

AI agents for social media

A company that seriously maintains six networks devotes a full-time person to it, or maintains none. The cost is not the writing: it is the repetition. Deciding what to say, adapting it to each platform's format, scheduling it at the right hour, coming back to read the comments. An AI agent absorbs this mechanism — not the editorial line, which remains yours.

1. What an agent takes on

Five tasks take up most of the time of a social presence, and delegate well because they follow a statable rule and can be checked at a glance.

Holding the calendar — knowing what goes out when, on which network, and spotting the gaps before they become three weeks of silence.
Writing the posts — from what the company has actually done: a release, a project delivered, a question that came up three times at customer service.
Adapting per network — the same substance, written six different ways, because a LinkedIn text pasted onto Instagram works on neither.
Producing the visuals — the image or the short video that accompanies the text, in the exact format each platform expects.
Scheduling and publishing — on LinkedIn, Instagram, Facebook, X, TikTok and YouTube, at the chosen hour, without having to reopen six applications.

What these five tasks have in common: none requires strategic judgement, only consistency. That is exactly what a human does badly when they have a company to run alongside.

2. The real work: adapt, do not duplicate

Most so-called multi-network tools post the same text everywhere. That is what produces those incoherent feeds: a professional paragraph under a square photo, a vertical video captioned like a press release.

Adapting properly means changing three things each time: the length, because one network rewards the developed and another brevity; the register, because you do not address a peer the way you address a customer; the visual format, because a horizontal video published vertically crops onto the back wall.

It is mechanical, tedious work, and therefore perfectly delegable — provided the rule is written down somewhere. An agent that does not know who you are speaking to on LinkedIn will produce six variants of the same text, which is no better than one.

3. What you must not let it publish

Three things stay on the human side, and not for technical reasons.

The editorial line. What the company talks about, what it owns and what it keeps quiet is a leadership decision. An agent that infers it from your past posts will reproduce your habits, including the ones you wanted to leave behind.

Anything involving a person or a dispute. A departure, an incident, an unhappy customer writing in public: these messages commit you, and an unfortunate phrasing gets quoted for years. The criterion is not how hard it is to write, it is what a blunder would cost.

Verifiable claims. A figure, an availability date, a comparison with a competitor: if nobody has validated them, they must not go out. This is the real principal risk of automated publishing, and it is handled by a mandatory approval on that type of content.

4. Comments, the blind spot of the calendar

Most companies schedule well and come back badly. A post left three days without a reply to its comments produces the opposite of the intended effect: it shows an account maintained out of obligation.

It is nevertheless the easiest part to hand over. The agent watches what comes in, filters out the noise, and raises what calls for a real answer — a technical question, a sales enquiry, a complaint — presenting it with the context needed to reply in two minutes. Routine replies, for their part, can go out alone once their quality suits you.

The gain is not writing faster: it is that no sales enquiry gets lost in a comment thread because the week was busy.

5. Measuring the result

Three figures are enough, and they must be read together.

Consistency — the number of consecutive weeks the calendar has been held on each network. That is where the effect shows first, and it is the one factor every platform rewards.
Human rework time — how many minutes a week you spend correcting the agent before publication. If it does not fall, the editorial line is badly formulated: that is what must be reworked, not the agent.
What comes back from it — inbound enquiries attributable to social media. An audience that grows without ever producing a conversation is a vanity indicator.

A system that publishes a great deal but demands systematic proofreading automates nothing: it shifts the load from the writer to the reviewer.

6. Frequently asked questions

Which networks can an agent publish to?

In nullbot, LinkedIn, Instagram, Facebook, X, TikTok and YouTube are connected from the application: you authorise the account once, and the agent publishes thereafter without you re-entering anything. Images and short videos are produced in the format each platform expects.

Does every post need approval?

At first, yes — that is how you see what the agent has understood of your tone. Then the boundary moves: routine posts go out on their own, while anything that commits the company keeps a validation step. This setting is made per content type, not once and for all.

Does it replace an agency?

It replaces the part of their work that consists of producing and scheduling. An agency also brings an outside eye and a strategy, which no agent supplies. Many companies keep the agency for editorial direction and bring execution in-house — that is the most economical split.

Where should I start?

With a single network — the one your customers actually use — and a pace you can hold: one post a week rather than five a week for a month. The other networks come later, once this one runs without supervision.