Distribution guardrails · canonical first
Publish one canonical source. Then adapt it without creating a content farm.
Every external version has a distinct channel job, preserves approved facts, and points visibly back to the canonical source. Distribution expands the source graph; it does not multiply competing originals.
Portfolio cadence
- 30–40 canonical / month
- 90–120 adaptations / month
- Human approval
- Rescan proof
Caps, not targets
The source portfolio sets the pace. A channel gets an adaptation only when it adds audience value and preserves the approved claim boundary.
Source
Canonical page first
Publish the full claim, evidence, schema, author or entity context, and update history on the owned domain. This is the URL internal links, distribution records, and future refresh work reference.
Adaptation
Rewrite for the surface
Change the hook, structure, length, proof framing, and call to action for the audience. Keep stable names, numbers, and source boundaries aligned with the approved canonical asset.
Proof
Link, log, and rescan
Use a visible source link, record the destination and publish receipt, then connect the release to the next AI visibility checkpoint. Distribution without measurement is just activity.
Medium
Up to 2/day
Our operating cap for the pilot, not a claim about Medium's platform limit.
Up to 2/day
Our operating cap for useful native posts, founder or team proof, and discussion.
Other surfaces
Cadence follows evidence and audience fit
Newsletters, partner media, community posts, and short-form networks get adaptations only when the format adds trust, reach, or a useful response surface.
Stop conditions
More output is not always more visibility.
- Stop when the source is weak. An adaptation cannot repair unsupported claims or a page without a clear answer.
- Stop when the channel adds no distinct value. Copying the same body everywhere creates noise, not an evidence graph.
- Stop when review capacity is saturated. The operating cap is a ceiling; approval quality sets the real pace.
- Stop when facts drift. Update the canonical source first, then repair or retire external versions that no longer match.
- Stop when measurement shows no useful signal. Reallocate effort to the surfaces, formats, and source gaps that produce observable movement.
Cross-domain canonical boundary: use the tag where supported, but never rely on it as the only provenance signal. Visible source links and a clearly more complete owned page remain mandatory.
Distribution questions
Frequently asked about canonical-first publishing
What does canonical-first distribution mean?
The complete source asset is published on the owned website first. External versions are rewritten for the channel, preserve stable entity and claim facts, link visibly to the source, and never become a competing authority.
Are 2 Medium posts per day and 2 LinkedIn posts per day platform limits?
No. They are Humanswith.ai operating caps for this pilot, not statements about the platforms' technical limits. The cap protects quality, review capacity, and audience trust. A lower cadence is correct when the source portfolio cannot support useful adaptations.
Should an external adaptation use a cross-domain canonical tag?
Use it when the destination supports it reliably, but do not depend on it. Cross-domain canonical handling varies. Every adaptation should still contain a visible source link and make the owned page the clearest complete reference.
Can the same article be copied to every channel?
No. Thin copies create duplicate noise and usually ignore the reading behaviour of each channel. Preserve facts and provenance, but rewrite the opening, structure, length, evidence framing, and call to action for the destination.
What stops the distribution plan from becoming spam?
Source quality, explicit operating caps, approval before publication, duplicate checks, visible source links, and a proof loop. If a surface does not add reach, trust, discussion, or citation evidence, it should not receive an adaptation.
Operator responsibility
The guardrails need an owner.
The Marketing Operator owns canonical selection, channel fit, duplicate checks, approval routing, publish receipts, and the handoff into AI visibility measurement.