How to Personalize Social Media Content with AI

Content personalization works because it speaks to what's true for each customer. If you could tailor what you say and show to every audience segment seeing your post or ad in their feed, you would. With AI, you can, without losing your brand's touch.

AI personalization at a glance

AI adapts post copy and visuals to resonate with different audience segments. Use it to adjust the following:

Messaging

This is a classic case where AI creates a campaign message around different audience priorities. The product truth stays consistent while specific reasons are highlighted based on the audience. These include the pain points, use cases, or customer stories that support the main message.

Imagery

AI can adapt visuals to each audience in your campaign brief, from different scenes and compositions to entirely different creative concepts.

Local relevance

A global campaign may need different copy and creative treatments across markets. AI can localize content by language, region, and audience, adapting as much or as little as you want.

AI is already the go-to tool for resizing and repurposing social content. Format creative assets to meet each platform’s specifications. Turn existing footage into sizzle reels.

How does AI personalize social media content?

AI personalization starts with context:

Audience context like needs, interests, behaviors, pain-points, priorities, and other details helps AI understand who the content is for and what matters most to them.

Product context spans the products you’re creating social posts around. Capabilities, benefits, and persona-specific details help keep personalization grounded in product truth.

Brand context gives AI the voice, visual guidelines, approved assets, messaging, and other rules it needs to create recognizable brand content.

Channel context helps AI adapt content to the requirements and conventions of each platform.

AI personalization works at scale when context is reusable:

AI needs persistent access to the context that makes content relevant and on-brand. In Typeface, Arc Graph brings together brand standards, approved assets, audience insights, and other marketing knowledge, giving AI a shared source of brand and business truth to draw from whenever it creates social posts.

Multimodality expands what AI can personalize:

Copy, visuals, and tone are common personalization elements in social media posts. AI can tailor these to audiences and platforms in the same workflow.

Typeface is multimodal, accepting images, documents, videos, and audio files to create personalized social posts. Purpose-built agents handle different parts of the workflow:

Image Agent creates and adapts campaign visuals for different audiences, markets, and channels, while Video Agent turns existing footage into social snippets and sizzle reels. Each agent works from your brief to create variations and make edits based on simple prompts.

AI personalization gets smarter with performance signals:

One of the biggest tasks AI can take off your plate is A/B testing copy, images, and formats for evidence about which creative approaches are worth repeating. Just as importantly, AI can use audience and campaign signals to improve campaign performance.

In Typeface, Arc Loop is a closed-loop system in which performance and engagement signals feed back into Arc Graph and inform future content creation. Create content for an audience, enrich Arc Graph with campaign insights, and make the next iterations more relevant to your audience and effective for your campaign.

Personalize more social content, faster

Create social posts for different audiences and platforms without adding time or overhead. AI follows your brand rules and uses campaign performance insights to create more relevant content.

In Typeface, brand governance is built in, so agents can generate on-brand posts, format content, adapt language, and localize images for different regions and seasons — helping you get campaigns ready faster.

Get started with enterprise social media personalization. Book a demo or talk to sales today.

FAQs

Q. How does AI know what content to create for different audiences?

AI doesn't have knowledge about your audience or product. You'll need to provide this context, not in every prompt, but to a knowledge graph AI can draw from when it generates social posts. Typeface's Arc Graph is an example of a knowledge graph that informs every content generation, updates with your brand, and learns from performance insights.

Q. Can AI personalize social media images and videos?

Yes. AI can create and adapt images for different audiences and markets. It can also work with existing video footage to create short videos and combine moments from different videos into new creative like sizzle reels and social media ads.

Q. How do you use AI for social media content?

You can use AI to create text, image, and video posts. Repurpose existing content faster. Create audience-personalized variations of posts and also let AI resize posts across platforms. Bottom line: You can direct AI to create social media campaigns.