AI social media manager that posts, replies, learns

The problem

You know you need to post on social media, but you don't have the time or the skill. Hiring a part-time expert costs more than you can justify. The result: silent accounts and missed customers.

What AI makes possible now

An AI agent now writes posts in your brand voice, generates images, schedules everything, and replies to comments. It reads your website, past posts, and customer messages to understand what works. When it sees a question it can't answer, it drafts a reply and pings you. Over time, it gets better because it tracks which posts lead to clicks and sales.

How it works

1. You connect your social accounts and share a few brand details (website, logo, tone).
2. The AI scans your existing content and audience to build a model of your voice and best-performing topics.
3. It creates a monthly content calendar with draft posts, images, and captions for your approval.
4. Once approved, it publishes on schedule and monitors engagement, replying to comments within minutes.

The first thirty days

Ship a system that connects to a single Instagram account, ingests a brand's website and three past posts, and produces a week of ready-to-review posts. No auto-publishing yet, just drafts and a simple approval dashboard.

How it earns

Charge a flat monthly fee per brand account. A $99/month starter plan covers one platform and 12 posts/month; a $299 plan adds auto-publishing and comment replies.

Why now

Language and image models are good enough to generate posts that feel human and on-brand. Small businesses are exhausted by the constant demand for content.

First customers

E-commerce store owners, local service businesses like salons, and solo consultants who know they should post but never do.

The hard part

The hard part is keeping the content from feeling generic. Every brand thinks it's unique, and the AI must reflect that without constant human babysitting.

Build this with us

Nexibeo can build the full agent pipeline: content generation, scheduling, engagement monitoring, and the learning loop. We'll run it as a managed product so you never touch a model or a server. If you want to turn this into a real business, apply to build it with us.