How it works

One loop, start to published.

Rank Tuner is a thin, sharp workflow over a capable model. It proposes topics you can genuinely win, writes in your actual voice from your actual facts, and hands every draft back to you before anything goes live. You stay in control at every step.

The loop

Five steps. You make the calls.

  1. 01

    Discover

    Topics are scored for what your site can actually rank for — using real search data and SERP-weakness signals — and for what AI assistants are likely to cite. No vanity volume.

  2. 02

    Pick

    You review a ranked, on-strategy backlog and choose what’s worth writing. Off-brand and off-service-line topics are filtered out before they ever reach you.

  3. 03

    Draft in your voice

    The model writes from your own writing samples and your first-party facts. Your voice, your authority — not laundered web stats, and not a generic AI register.

  4. 04

    Review

    Each draft lands in a review inbox with its claims extracted and verified. Flagged claims block publish until you resolve them. You approve, edit, or reject every piece.

  5. 05

    Publish

    Approve, schedule, and push to your CMS with a rotating author byline, then verify it live. Nothing publishes without your explicit say-so.

Common questions

Straight answers.

How does Rank Tuner decide what to write about?

It scores candidate topics for two things: whether your site can realistically rank for them, and whether AI assistants are likely to cite them. Scoring uses real search data and SERP-weakness signals, not raw search volume. Off-strategy topics are filtered out before they reach you.

Does Rank Tuner publish content automatically?

No. Nothing auto-publishes. Every draft passes through your review, and a human approves, edits, or rejects each piece before it can go live. Flagged claims block publishing until you resolve them.

How does Rank Tuner write in my voice?

You paste samples of your own writing. Those samples are injected into the drafting prompt as exemplars, so the model writes from your voice and your first-party facts rather than laundering generic web stats. It never trains a feedback loop on its own output.

What is the claim-gate?

The claim-gate extracts the factual and statistical claims from every draft and checks them against your first-party facts. Claims it cannot verify are flagged. A flagged claim blocks publishing until a human resolves it. The gate only ever flags — it never auto-approves.

Ready to run the loop on your own site?

Set up your org, connect your tools, and paste your voice in one sitting.