Use AI for structure and drafting, then verify every substantive claim and add the agency’s real operational knowledge. Publish only when a named human has checked sources, audience fit, examples and the final material.
Give the draft a bounded job
A useful request names the reader, question, available evidence and desired practical output. For example: “Write for a five-agent agency comparing shared and exclusive leads. Use only the attached vendor terms. Include a worksheet for calculating cost per held appointment. Label all numbers illustrative.” That brief produces a draft with a clear purpose and makes invented claims easier to spot.
A weak request asks for the best SEO article on Medicare and invites an unbounded mixture of consumer advice, unsupported rankings and repeated introductions. Before drafting, check whether an existing page already answers the question. If the new idea changes only a keyword or city name, improve the existing answer instead of adding another URL.
Separate facts from suggestions
Mark factual claims during editing. A platform feature, regulation, vendor price or current policy needs a primary source and an applicability check. A proposed meeting agenda or internal naming convention can be presented as an operational suggestion. This distinction helps the reviewer spend time on statements that could mislead someone rather than treating every sentence as equally uncertain.
Never accept a citation merely because it looks plausible. Open the source, confirm it supports the statement and note the relevant date. Remove invented customer stories and unverified author credentials. If an example is a teaching scenario, call it illustrative and avoid wording that implies the agency achieved that result for a real agency. A fabricated quotation is not improved by putting a real-looking name beside it.
- Check references against actual documents, not another AI answer.
- Identify proposed versus effective guidance before describing a requirement.
- Confirm that product claims match the account and subscription being used.
- Ask the subject owner to supply a real process detail the draft lacks.
Make the article worth reading
Add something a reader can use immediately: a decision table, an email template, a test case, a calculation or a checklist with an owner and pass condition. For a CRM article, “integrate your systems” is too vague. A stronger passage explains what should happen when the same inquiry is submitted twice and how the team confirms that a replay did not create two tasks.
Challenge each section with one question: does it help the reader decide or act? Delete paragraphs that repeat the opening, recite obvious benefits or promise transformation without explaining the work. Source-backed summaries can orient the reader, but the article should contribute a practical application rather than merely rearrange somebody else’s documentation.
Use an accountable publishing record
Save the brief, source list, edited draft, reviewer and final URL. Record major corrections, such as removing an obsolete timing instruction or changing an unsupported vendor comparison. Review the rendered page as well as the manuscript: a misleading metadata title, broken source link or unrelated call to action can survive a careful text edit.
Google’s helpful-content and spam resources are useful editorial boundaries for this workflow. The aim is a distinct, useful answer for a real audience. Daily output is a production cadence, not evidence that a page deserves indexing. If review capacity is exhausted, hold the draft until the checks can be completed.
Questions agents ask
Should AI drafts include exact compliance instructions?
Only after current primary guidance and the applicable review path have been checked. A confident model answer is not evidence of the rule.
What is a good reason to reject a draft?
Reject it when it duplicates another page, invents evidence or cannot give the reader a useful next action.
Sources & further reading
Primary references for the rules and platform mechanics discussed here. Templates and recommendations are Medicare Marketing’s planning guidance. Examples are illustrative unless explicitly sourced.
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