PlatformCampaigns & agents
Marketing campaigns with AI agents
Run campaigns with your teamand AI agents in one workflow
Supasaito turns recommendations into campaigns across your channels. Your team and connected AI agents take tasks from one queue and work from the same business context, and you decide who does each step and who approves it — so more gets done without losing control of quality.
Connect Claude, ChatGPT or your own agents through MCP
How campaigns with AI agents work
From a recommendation to a measured publication
Recommendations become campaigns. Your team and AI agents take tasks with the full business context, follow the approval rules you set, and every publication is measured afterwards.
- RecommendationsWhat to publish or fix
- Business contextBrand, channels, assets, funnels
- Supasaito campaignSteps, rules and approvals
- People and AI agentsOne task queue, reviewed work
- Published and measuredIndexing, AI citations, visits
01Shared business context
Brand, channel and funnel documents shared by every task
Brand documents, channels with their rules, assets and sales funnels live in one place. Every campaign inherits them and every brief includes them, so nobody has to re-explain the brand — to a new teammate, an agency or an AI agent.
02Campaigns and placements
Campaign steps from idea to results, with placements per channel
Every campaign moves through the same steps: idea, preparation, gathering materials, creating and publishing content, collecting results. With approvals between steps and every placement in one plan — your site, trade media, press — you always know what is ready, what is waiting and what is live.
03Task queue for people and AI agents
One task queue for your team, agencies and AI agents
Every task has one owner for the work and another for the review. A teammate, an agency or an AI agent takes it from the same queue and returns it with a note in the work log, so work doesn't get lost in chats and email.
04AI agents working in parallel
AI agents claim tasks, read the brief and submit work for review
Connected AI agents claim the next task, read a brief with the brand, channel and placement documents, and submit their work for review. You can run several agents at once to research, draft and adapt content, and each one's work stays traceable.
Claim, brief, submit
No copy-pasting context into chats: each agent gets its brief from the platform, so the output stays on-brand.
Returned with a note
A reviewer sends work back with what to change, and the next attempt gets the note, so feedback isn't lost between rounds.
Revision history
Every version is kept with a diff and its author, including whether it came through MCP, so you can always see who changed what.
05Rules and approvals
Who does each step and who approves it
For every step, choose who can do the work — people only, people or agents, or agents only — and who approves it. Agents can move fast on drafts while people keep the final say on what gets published.
Who does each step
Agents pick up only the tasks a step's rule allows, so sensitive work stays with your team.
Who decides each transition
The plan, the materials, the content and the results each have a reviewer, and you can require the reviewer to differ from the author. Skipping review is an explicit rule, never an accident.
Agents act with the permissions of their connection — read only, or read and write — on the companies and brands you allow. How MCP permissions work →
06Publication tracking
Indexing, AI citations and visits for each publication
A finished placement records its URL and role. The next scans and your Google data show whether it was indexed, cited by AI and visited, so each campaign tells you what to do more of in the next one.
FAQ
Campaigns and AI agents: common questions
- What do AI agents actually do in Supasaito?
- They take on tasks: research, drafts, adaptations for each channel, revisions and publishing where they have access. Every task comes with a brief built from your business context, and the result goes to the reviewer you set.
- Can we use our own AI tools?
- Yes. On any plan, including Free, you can connect Claude, ChatGPT or other MCP-compatible agents. They work with the same context, tasks and rules as everyone else. See MCP.
- Does every piece of work need human approval?
- You decide. For each step you choose who does the work and who approves it — people, agents or both — and a review is skipped only where a rule says so explicitly.
- How do agents get the right context?
- Brand documents, channel and placement documents and the relevant recommendation are attached to each task's brief, so no one has to paste context into a chat.
- How do we know whether a campaign worked?
- Each publication is tracked after it goes live: indexing, AI citations, visits and key events. The first scan after a publication is marked on the AI visibility trend.
Related features
What feeds campaigns and what they feed