Best Practices for AI-Generated Social Media Content

The Foundation: Your Knowledge Base Makes or Breaks AI Content

The most important factor in AI content quality is what the AI has to work from. The agent writes from your project profile and your knowledge base; if those are thin, generic or out of date, your posts will be too.

Take the time to fill your project profile (what you do, who it is for, keywords, tone) and your knowledge base with your story, product details, customer stories and expertise. The more specific the material, the more the posts sound like you.

• •Describe your tone in specific terms (e.g., "professional but approachable, no jargon") under Project setup → Brand & voice
• •Add real customer stories and case studies for posts that need proof
• •Add product documentation with features, benefits and use cases, as PDF or text
• •Paste URLs of your best articles and website pages
• •Delete items when they go out of date; the agent stops using them at once

Brief the Agent Well

When you ask the agent for a post, specific beats vague. Instead of "write a post about our product", try "write a LinkedIn post about how our product shortens onboarding for new customers, professional but conversational, ending with a clear call to action".

Say who the post is for, which network it is for, the feeling you want, and what readers should do next. The agent can handle detailed instructions, so there is no need to simplify your request.

AI Image Generation: Getting Visuals Right

AI pictures work best with clear direction. Describe the style (minimalist, vibrant, photographic), the subject (a product, an abstract idea, a place) and the mood (calm, urgent, warm).

For a consistent feed, set your project's visual style once, for example "flat illustration, navy and orange, no text in the image". It is applied to every picture, so you do not have to repeat it. Ask for something outside your usual look and the agent steps outside the style for that one picture.

• •Be specific: "flat illustration with a blue and white colour scheme" beats "make an image"
• •Put your brand colours and visual identity into the project's visual style
• •Pick the model for the job: Nano Banana (1 credit) for everyday posts, Nano Banana 2 (3) or Pro (6) for more detail
• •Ask for an edit ("make the background lighter") instead of starting over; an edit costs the same as a new picture with that model

Platform-Specific Optimization

Each network has its own norms. LinkedIn suits longer, professional posts with real insight. X rewards short, direct statements and allows 280 characters per post. Instagram is visual first and needs a picture or video on every post. Facebook allows longer stories. TikTok is video or photo posts, with no text-only posts. YouTube takes Shorts: a vertical or square video of up to three minutes, with a title.

Tell the agent which networks a post is for, or ask for a variant per network of the same draft: tight for X, fuller for LinkedIn, a caption for Instagram. Where a network is shorter than what you wrote, the agent tells you rather than cutting silently.

Quality Control: Review Before You Publish

Even with a good AI, human review adds value, especially at the start. Check drafts for factual accuracy, brand fit and sensitivity before they go out. In AutomateSocials every post published from the chat is confirmed by you first, and campaigns and workflows are approved when you start them.

As your profile, content instructions and knowledge base improve, you will find fewer edits needed; the agent also draws on examples of what you have already published to set the voice. Many people review every post at first and later let a workflow publish routine posts on its own. If you want to review everything, end your workflows with "save a draft" instead of "publish".

Learn from What Others Post

The agent can read other accounts' public posts on X, Instagram, Facebook, LinkedIn and TikTok when you ask: "read the last 20 posts from @competitor on Instagram and tell me what got the most engagement". It is priced per post read (10 posts cost 1 credit, 3 on LinkedIn) and quoted first. You can then ask for posts informed by what it found, in your own voice and for your own audience.

This does not mean copying competitors. It means understanding which topics and formats get a response in your field, and using that to decide what you say. Read it for evidence; the posts are still yours.