Updated Oct 2026

How AI writing uses your brand

If you let software draft posts your clients will read, you should know what it works from. You should also know what happens to the words you give it. This page covers both.

What the AI draws on

Every draft starts from two things: your brand and what you type into the Create Post dialog.

Your brand holds what you set up on the Brands page. Your brand’s name. The Tone and Style you picked. The Topics you want posts to cover, and the ones you told it to avoid. The AI reads all of it, every time it writes. So a brand set to Authoritative and Educational gets very different text than one set to Casual and Storytelling. You can also change the tone for a single post with Tone Override under More options.

Your Sign-off and brand hashtags work a little differently. The AI doesn’t write them. It leaves room for them, and the app adds them to the end of the post.

What you type is the other half. Say you write “Remind clients enrollment ends December 7” in What’s this post about. That sentence becomes what the AI writes about, in the voice your brand sets. Leave that box empty, and the AI writes about the post’s name instead. A thin brand profile gets you plain, generic drafts. A detailed one gets you drafts that sound like you.

Why each platform gets its own version

One request makes one version for each platform you picked. It doesn’t copy one post everywhere. The AI is told the name of each platform, so it writes for that platform. The LinkedIn version and the X version say the same thing in different words.

That split matters after the writing, too. Each platform version starts in Needs approval on its own. So you can edit, approve or reject the LinkedIn version without touching the others.

What counts against your allowance

Each time you select Generate Post, it counts as one AI text generation for the month. That’s true however many platforms you pick. One request writes every version at once.

Regenerate works another way. It asks for up to three separate rewrites, and each one is a full generation. So one click can use up to three. Each one counts whether or not you keep it.

A post made from a card on the Templates page also makes one AI image. That counts toward your AI images for the month.

What all this AI work costs also feeds your AI fair-use cap figure on the Usage page. These meters reset when your billing period does. See Understand your plan and usage for how the meters work.

What the AI cannot do

It writes. That’s the whole job.

It can’t publish anything. Every AI draft starts in Needs approval, in the same place as a post you typed yourself. A pending post never publishes on its own. It can’t approve anything either. Approval is yours.

If you’ve turned on compliance review for the brand, AI text faces the same gate as text you wrote. A finding blocks approval until you fix the text or acknowledge it. The review assists your supervision of the content. It doesn’t certify compliance, so read every draft before you approve it.

Your earlier text survives a rewrite, too. The original AI version is kept apart from whatever you save over it, and History can take you back.

Where your words go

Drafts are sent to OpenAI for writing and for compliance review. The request carries what the model needs to write. That’s the post text and your edits, your brand name and voice settings, and the topic or context you typed. It also carries your sign-off and branding settings, and the names of the platforms.

What never goes: end-user names, email addresses or user IDs. Your captured contacts and consent records aren’t part of any AI request. Your content isn’t used to train models. We don’t train on it. And under OpenAI’s API policy, API content isn’t used to train their models by default.