AI Content Generation: An Editorial Review Workflow
AI content generation uses a model to produce a draft from instructions and source material. For a marketing team, the important decision is how that draft becomes a reliable article. The output needs a review process that preserves evidence, client context and responsibility for publication.
Start with inputs the business can stand behind
Give the writer a reader, a question, the decision the page should support and approved source material. Include current product facts, useful examples and known limitations. Keep confidential customer details and credentials out of prompts and drafts unless the organisation has an appropriate, authorised processing arrangement.
Do not ask a model to invent customer results, expert quotations or experience. If the business cannot substantiate a claim, remove it or replace it with a clearly labelled illustrative example. A persuasive sentence is not evidence.
Review in separate passes
| Review pass | What the reviewer checks | A reason to return the draft |
|---|---|---|
| Evidence | Every consequential claim has support | An unexplained percentage or invented customer story |
| Product truth | Instructions and availability match the actual product | A planned connector described as available |
| Reader usefulness | The page resolves the stated question | A long introduction with no usable answer |
| Brand and context | The right client, market and voice are used | Another client’s terminology or unsupported positioning |
| Publication | The actual destination renders correctly | Missing image, incorrect metadata or broken links |
Assign an accountable reviewer rather than assuming the generation tool owns the decision. The agency planning workflow shows how to separate context across clients.
Make the example do useful work
An example should clarify a method or decision. Label hypothetical numbers and organisations before a reader could mistake them for a case study. If the example depends on a calculation, show its inputs and assumptions. If it describes a product procedure, verify the controls and destination fields rather than copying an older screenshot or brief.
Google’s people-first content guidance encourages substantive, useful material and accurate information about how content was produced. The editorial question is whether the finished page gives the reader something dependable to use.
Choose an image that explains the article
Use a representative illustration, diagram or authorised screenshot. Check its labels, crop, alternative text and behaviour on the blog card as well as the full article. AI-generated illustrations should not be presented as photographs of an actual customer or a real product screen.
Check the published page
Confirm the title, body, image, byline, dates, description and canonical in the actual website. Verify a few meaningful links and any tables. For a static site fed by a CMS, wait for the successful rebuild and inspect that deployment. The WordPress publishing checklist makes the handoff checks explicit.
Improve the workflow using observed results
Track review effort, correction categories and publication failures. If the same unsupported claim appears repeatedly, improve the inputs and review instructions instead of generating a larger batch. Keep operational improvements separate from claims about rankings, traffic or revenue until those outcomes have been measured.
Writegarden uses an institutional byline for these guides. AI assistance supports drafting and illustration; the editorial responsibility statement explains sourcing, revisions and corrections. The publication standard is a useful, supportable article, regardless of how its first draft was produced.