Meet your AISocial Media Team

Bolta is an AI social media manager — a team of AI social media agents that research, write, schedule and publish your content, with every post routed through your approval. It brings your brand context, AI Agents, recurring workflows, approvals, repurposing, scheduling, publishing, and performance insights into one system. In practice that means you stop starting from a blank composer: agents work from your business context and your past content, draft in your voice, and queue what they produce for you to approve, edit, or reject. Bolta publishes to LinkedIn, X, Threads, Instagram, Facebook, Reddit, Bluesky, Mastodon, Pinterest, Discord, Slack, WordPress, and Skool from one workspace.

Traditional schedulers mainly help organize and publish content you have already written — the hard part, deciding what to say and writing it, stays with you. Bolta starts earlier in the workflow: its Agents use your brand context to create and repurpose drafts, route them for approval, publish approved content, and use performance insights to guide what happens next. A scheduler's queue is empty until you fill it; Bolta's queue fills itself and asks you to decide. You still own every decision — the difference is where your time goes, from writing from scratch to reviewing and steering.

Yes. Depending on your workflow and plan, you can require approval before publishing or allow approved recurring workflows to publish automatically. Everything operates within the permissions of your connected social accounts. Most teams start approval-first, watch a few weeks of drafts, and then let the specific workflows they trust — a weekly roundup, a repurposing loop — run unattended, while anything sensitive stays gated. Autonomy is set per workflow, not once for the whole account, so widening it never has to be all-or-nothing.

Bolta builds a Voice Profile from your brand information, website, past content, and writing preferences. That context is used across your content and Agent workflows so drafts stay consistent with your style, audience, and goals. The profile keeps learning from what you do with drafts: approvals, edits, and rejections all feed back into it, so the edits you make once tend not to be needed twice. You can also read and adjust the profile directly rather than hoping the model infers your preferences. Workspaces can hold more than one voice — a company account and a founder account rarely sound the same — and each connected account can be pointed at the profile that fits it.

Yes. Team members can review, edit, approve, or reject drafts before they are scheduled or published, based on their workspace permissions. This gives your team control without slowing down the content workflow. Agencies can run a separate workspace per client with its own accounts, voice, and approvers, so a client only ever sees and signs off on their own content. Every decision is attributed, so you can see who approved what and when.

Each Agent handles a specific job, such as creating content, repurposing material, drafting replies, researching prospects, or analyzing performance. You set the goal, context, schedule, and approval rules, and the Agent runs the repeatable work for you. Agents run on a cadence you choose rather than only when you open the app, and each run produces reviewable output — drafts, replies, or a report — instead of an opaque background action. You can pause any agent, change its instructions, or run it on demand.

Only when you configure a workflow to do so. You can keep every workflow in approve-first mode, where nothing is published until you or your team approves it. New workspaces start approval-first by default, and automatic publishing is something you switch on deliberately, per workflow, once you have seen the output you would get. Approval is also a real editing step, not a yes/no gate: you can rewrite a draft, ask for another angle, or reject it with a reason that feeds back into your voice profile. If you disconnect an account or pause a workflow, nothing queued behind it goes out.

Bolta publishes to LinkedIn, X, Threads, Instagram, Facebook, Reddit, Bluesky, Mastodon, Pinterest, Discord, Slack, WordPress, and Skool. Each network is written for natively rather than one post being copied everywhere: length, formatting, and tone are adapted per platform from the same idea. What is available for a given account depends on that network's API, the permissions you granted when connecting it, and your plan — analytics depth in particular varies by network.

Yes. Bolta ships a documented REST API with an OpenAPI 3.1 spec, an MCP server for AI clients such as Claude and ChatGPT, OAuth 2.0 for third-party apps, and a CLI. API keys are scoped, write operations accept an Idempotency-Key header so a retry cannot duplicate a post, and every response carries standard rate-limit headers. The developer documentation is at bolta.ai/docs.

Yes. There are no long-term commitments. You can cancel your subscription at any time, and your paid access will remain active through the end of the current billing period. There is also a free plan with no credit card required, so you can see what the agents produce for your brand before paying anything. Your content, connected accounts, and published history stay yours — nothing you have already published is affected by changing or ending a plan, and current prices and limits are always listed on the pricing page.