Content Factory

How it works

The section answers a simple question: what exactly do I do with all that analytics? You see low sentiment on a query, a mention gap against a competitor or a new source AI cites a lot, and immediately get a task card with a ready recommendation and a draft plan.

The Factory bundles all the tools for a single cycle: spotted a problem to solved it to published it to measured the effect.

What the Factory consists of

The section is split into six subsections in the sidebar:

• Board. Kanban with task cards: where they are, who owns them, what's inside. The heart of the Factory.
• AI agents. Fifteen analytical agents that regularly scan your data and drop new cards on the board. Each one can be toggled on or off.
• Triggers. Automation rules: when this event fires, move the card to that column on the board.
• RAG. A content store where our AI model learns from. Sites that AI services cite often are uploaded and split into fragments.
• Publications. A feed of published materials and tracking of their appearance in AI answers: when they were first seen, how often cited, on which AI services.

Typical workflow

Most scenarios follow the same path:

1. An AI agent finds a problem or opportunity, like a sharp drop in Brand Mention Rate, and creates a card in the Idea column.
2. You open the card and see automatic analysis: what happened, on which queries, which sources you're missing.
3. The Sources and RAG tabs hold the context: what AI cites most often and which fragments you can use.
4. The Content tab presents a content plan with tone, length, structure recommendations. You can edit it or generate another version.
5. When the article is published, you add the link in the Publications tab and the system starts tracking when it first lands in AI answers.
6. The card moves across the board. Triggers can move it automatically on certain events.