Protaigé

Maia is the core of the platform, and she behaves more like an account director than a prompt box. She accepts unstructured input, like a forwarded email or a live call, and builds a strategy before producing any asset. She also works as an AI ad copy generator, drafting headlines, hooks, and paid social copy from your brand inputs. And she meets your team on the tools it already uses: WhatsApp, Slack, email, Zoom, and the phone. No new dashboard to learn.

Brand DNA holds your positioning, voice, visual identity, products, and personas in one system. Instead of re-uploading logos and tone docs into every tool, you load the raw material once. Protaigé then organizes it into structured layers. Every output is on brand by default, and the system sharpens itself as you run more campaigns, so you explain less over time.

One brief produces a complete campaign rather than a single draft. Think of it as an AI campaign generator that returns strategy, copy, visuals, and channel-specific assets, all formatted, sized, and organized for where they'll publish. That's the difference between a helpful draft and a launch-ready kit.

The platform goes past the draft stage to publishing. Campaign output arrives ready to push to major platforms or export as a complete kit, which removes the usual reformatting and platform-hopping. Performance data then loops back into Brand DNA automatically. This is where the AI marketing automation promise earns its keep.

The Lite tier and up include social publishing, scheduling, and a publishing analytics dashboard. That data tells you which angles are landing. Protaigé treats this as campaign automation software rather than a one-off generator, so the numbers feed back into Brand DNA and the next campaign starts from a smarter baseline.

The Campaign Pro and Enterprise plans add API access, webhooks, and managed MCP setup. That matters for teams that want Protaigé plugged into their existing marketing stack rather than run as a separate tool.