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How it works

From keyword to live post in minutes

Four steps stand between you and an automated publishing pipeline. Each one takes minutes — click a step for the full walkthrough.

What happens after you press start

Once a schedule is running, every interval triggers the same pipeline: the next keyword is pulled from your list, live research is gathered, the AI writes a fully structured post, SEO fields and internal links are applied, and the post is published to your site through the native REST API.

You watch it all from the Content Calendar and the Publish Queue — and every post is logged step by step, so there are never mysteries about what was published, when, and by which model.

What the pipeline handles for you

Before you start: what you’ll need

Three things: a WordPress site you administer (any host, any theme), five minutes for the connection, and a topic you want to publish about. You do not need API keys for keyword research, a plugin installation, or any code. If you plan to bring your own AI provider key, have it handy — otherwise built-in provider access works out of the box.

Agencies onboarding client sites: application passwords are per-user, so create a dedicated WordPress user per client site — it keeps the audit logs clean and permissions revocable.

Questions people ask at this stage

Most users publish their first post within five minutes of connecting a site: connect, pick one harvested keyword, run a Manual Post, done. A full schedule takes a few minutes more.

Yes — any WordPress site with an application password works, including staging and local sites reachable over HTTPS. Many teams trial on staging, then reconnect production.

Existing posts are an asset: the internal linking tool scans your back catalogue, and new pipeline posts will link into it automatically.

Going deeper

A note on quality control. The pipeline is deliberately transparent about everything it does around how it works: every run is logged, every post is editable, and nothing is hidden behind a black box. The practical consequence is that quality problems are always diagnosable — you can trace a weak post back to its keyword, its template, its provider, and its settings, change exactly one variable, and watch the next run improve. Treat the first month as calibration: the operators who get exceptional results are the ones who read their own logs.

Measuring results deserves a system of its own. Give every schedule a clear goal before it starts — impressions on a new topic cluster, clicks on commercial pages, or simple publishing consistency — and check it against your analytics on a fixed weekly rhythm. Automated publishing produces a steady stream of data as well as posts: which templates earn clicks in your niche, which cadences hold rankings, which topics your domain can win. That feedback loop, not any single post, is what compounds.

On scaling: resist the urge to run before the walk is boring. One site publishing reliably for three weeks teaches you more than five sites launched in a weekend, because problems are legible when there is only one variable set to watch. Once the first site’s rhythm is dull — posts ship, logs are green, quality holds — cloning the setup to the next site takes minutes, and the dullness scales with it. Dull is the goal.

For teams, the adoption path that works is incremental trust. Start in draft mode where every post needs a human click; the writers review output instead of producing it, which converts the team’s scepticism into calibration notes. After a fortnight, promote the schedules that earned it to automatic publishing with weekly spot checks. Within a quarter, most teams find the content meeting has shrunk to a fifteen-minute queue review — and the strategy conversation has finally got its time back.

The economics are worth stating plainly. A hand-produced post costs hours of research, writing, and formatting — call it half a working day end to end. The pipeline compresses the marginal cost of a post to roughly the price of a model call plus a minute of review. That changes what is rational to publish: long-tail topics that could never justify half a day of human effort become profitable at pipeline cost, and the long tail, in aggregate, is where most organic traffic lives.

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