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Adapting posts for different channels

Keep one message without copying the same content

AI prepares separate versions of the copy, graphic, format and call to action for each channel. The facts remain consistent, while every version goes through checking and approval.

Example in action

One topic takes on the role suited to each channel

Adaptation does not mechanically shorten the same text. It considers the audience, how the channel is used and the available format.

Source material

New package for small corporate meetings

The hotel wants to talk about the same offer on LinkedIn, Instagram and Facebook while keeping the shared facts consistent.

1 offer3 channelsShared source
AI variants

Three versions of one message

Each channel receives its own opening, length, call to action and graphic format, without changing the confirmed package terms.

  • Text and CTA tailored to the channel
  • The right asset format
  • Consistent facts across all versions
Module scope

Channel-specific formats without information drifting

The module works from approved source material. It adapts the structure, length, tags, CTA and visual format while preserving the shared facts and keeping every version under control.

Changes the structure

It adapts the opening, length, order of information and way of guiding the audience to suit the channel.

Adapts the format

It prepares the right proportions, asset variant and elements required for the relevant publishing space.

Protects shared facts

It ensures that the offer scope, dates and confirmed promises do not differ between channels.

Process

How are channel variants created?

1

Identifying the core

AI identifies the facts, objective and message that must remain shared across all versions.

2

Matching the rules

It checks the role, audience, length, CTA, format and tags appropriate to the channel.

3

Preparing the variants

It creates separate texts and visual assets without changing the source information.

4

Review and approval

Each version is reviewed, and a team member approves it separately.

Data and outcome

Shared facts, separate formats

The module stores the publication core and shows which elements were changed for each channel. This makes it easy to spot accidental differences in the offer.

Input

What does AI use?

  • approved source material
  • text, graphics and sources for the facts
  • rules and formats for individual channels
  • optional calendar and private LinkedIn context
Output

What does the team receive?

  • a separate text variant for each channel
  • tailored graphic format and CTA
  • shared factual core and review result
Control

Each channel has its own decision

A variant may be linguistically correct but unsuitable for the profile’s current context. The team assesses each version independently before using it further.

The decision remains with the team

A team member selects the channels, compares the differences, edits any variant and approves each one separately.

Where does this module end?

The module does not devise a new campaign, change the offer facts, respond to audiences or publish the prepared versions.

Outcome

A consistent campaign without mechanical duplication

Better targeting

Each profile receives a format, length and call to action suited to its role.

Shared specifics

The price, date and offer scope remain the same across all versions.

Fewer manual edits

The team receives a complete set of channel variants to compare and approve.

Data and integrations

Text, graphics and review work from a shared core

The Post Generator and Graphics Generator provide the source material, while Content Review checks each variant. The Calendar can indicate the publication order.

Post GeneratorGraphics GeneratorContent ReviewOptional LinkedIn Bot
Content hub

Related process elements

FAQ

Frequently asked questions

Does adaptation mean shortening one text?

No. It can change the structure, opening, CTA, tags and format while preserving the shared message and facts.

Does every version undergo review?

Yes. Adaptation can introduce a new error, so every variant is checked separately.

Does the module support an employee’s private LinkedIn profile?

It can prepare such a variant once the LinkedIn Bot is connected and the relevant context is provided.

Are the variants published automatically?

No. At this level, each version remains subject to the team’s decision.

Adapt one message for every channel

We will build a process that preserves the facts and character of the brand while preparing the right format for each profile.

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