- Define the question
- Check the evidence
- Apply the decision
- Review the result
Separate drafting from verification
Check business facts against approved records and technical claims against reliable primary sources. Never treat a fluent sentence or a generated citation as proof. Remove unsupported numbers, credentials, quotes and customer results.
Keep source notes with the draft. The reviewer should be able to see which claims need approval and which examples are hypothetical.
Add something the reader can use
Interview the people who do the work and include useful process details, limitations and decision criteria. Rephrasing common advice at scale does not create expertise. Google evaluates the purpose and value of content rather than giving an automatic exemption to a production method.
Give each planned page a distinct purpose and useful supported substance. Review overlap and missing evidence; page count alone does not establish reader value.
Record the release decision
Record who or what reviewed the copy and what changed. Separate AI editorial assistance, any actual human review and the owner’s publication decision. An agent name cannot establish human review. Assign a correction owner after publication.
Dappr uses AI-assisted drafting and editorial checks with owner-authorized publication. That process is not a claim that a human practitioner has independently read every article. It does not guarantee indexing, rankings or immunity from platform enforcement.
Give the draft a purpose before generating prose
Write a brief that identifies the reader, the question and the decision the page should support. Include the approved business facts and the boundaries of the offer. If the page is local, explain what makes it useful to that reader beyond the place name. If it is technical, identify the sources and the person who can review the explanation. A specific brief makes unsupported assumptions easier to spot.
AI can help organize questions or produce a first draft, but the output should remain editable and unapproved. Do not treat a polished structure as evidence that the page is needed or complete. Compare the draft with the brief: does it answer the intended question, and does it contribute useful information the business can support? The production method does not remove the need for that editorial judgment.
Create a claim record the reviewer can inspect
Identify material statements about services, locations, credentials, prices, numerical results and platform behavior. For each, record the approved fact or primary source that supports it. A citation must lead to content that actually establishes the statement; a plausible URL or a source with a similar title is not enough. If the source is unavailable or ambiguous, mark the uncertainty and revise the claim accordingly.
Current information deserves particular care. An official page may still contain outdated examples or figures, so consider dates, scope and the exact statement being used. Do not copy an old tax percentage or platform instruction merely because it appears on an authoritative domain. The reviewer should understand which portion of the source supports the draft and which details were deliberately excluded because they were stale or irrelevant.
Add original usefulness rather than artificial variation
Ask the people responsible for the service how they make decisions, where projects become difficult and what customers commonly misunderstand. Translate that input into clear process details, tradeoffs and limits. An original decision framework can also help when it is presented honestly as guidance rather than as measured client experience. The page should give the reader something useful to do or understand.
Changing sentence order, swapping city names or lengthening generic advice does not establish expertise. Each planned page needs a distinct purpose and enough substance to fulfill it. Improve the actual answer on each page instead of treating a larger page inventory as the objective. If a draft still lacks necessary evidence, record that precise gap instead of inventing a customer story or treating a word count as proof of quality.
Separate illustrations from evidence of results
A hypothetical scenario can explain a workflow, but label it so a reader does not mistake it for a completed project. Do not manufacture testimonials, attributed quotations, customers or performance figures. The same rule applies to generated images and charts: they should not imply a real person, site or measured outcome that does not exist. Creative polish does not change the factual status of an asset.
Use genuine evidence only within its approved scope. A customer quote may require permission, a credential may belong to one individual and a result may depend on conditions that must remain visible. Keep those qualifications attached when content is shortened for metadata, advertisements or social posts. A truthful long page can become misleading if a derived headline removes the context that made the statement accurate.
Review the whole publishable artifact
Google's guidance on generative-AI content calls for accuracy review and explicitly includes metadata and related page elements. Apply the same factual standard to titles, descriptions, image text and structured information as to the body. A page should not promise a service in its search snippet that the body correctly says is unavailable. Check linked destinations and the contact path as part of the reader experience.
Read for repetition, vague claims and unexplained terminology. Confirm that headings describe the content and that the next action matches the actual offer. A useful review asks whether a reader can make progress without already knowing the business's internal language. Automated checks can find missing fields or repeated text, but they do not replace a human assessment of meaning, truthfulness and whether the page is worth publishing.
Distinguish review roles and record the decision
The review record should distinguish an AI-assisted editorial pass from human editing and the publication decision. Record substantive changes and dates for the work actually done. Leave any human-review field unassigned until a person completes that review. An agent name, generated biography or automated flag is not proof of human review. Expert-review claims require the named person’s real participation and permission.
Record whether the content is approved, needs revision or must remain unpublished because a necessary fact is unavailable. Describe the dependency concretely: an unverified service claim, missing asset permission or an unresolved technical instruction. Do not turn ordinary unfinished research into a permanent hold without explanation. Dappr preserves its editorial-check record and owner release authorization with the draft, without representing the owner’s publication instruction as an independent human read of every page.
Maintain a correction process after release
Assign someone to receive factual corrections and review material when the underlying offer or source changes. Update displayed dates after substantive work rather than automatically refreshing them to imply currency. Keep enough history to understand why a claim was revised. The maintenance plan should cover important reused assets as well as the original article, particularly when an offer appears in several campaigns.
Google's spam policies address scaled content created for manipulation without useful value, regardless of the production method. A documented review process helps accountability but does not guarantee indexing, ranking or immunity from enforcement. Dappr can scope content work around approved facts, original explanation and an accountable release process. The standard is a useful, accurate artifact that a real person is prepared to stand behind, not the number of drafts a tool can produce.
Questions before you begin
Can AI output serve as a source for a factual claim?
No. Verify the claim against an approved business record or appropriate primary source. Fluency and a generated citation do not establish accuracy.
Does reaching a word count make a draft ready?
No. Length is a brief requirement, not proof of distinct value, factual support, rights or human approval.
Can an agent be listed as the human editor?
No. The record needs the actual person who reviewed the content, with their real edits and review date. Leave it unassigned until that happens.
Are hypothetical examples allowed?
They can explain a process when clearly identified as illustrative. They must not be presented as actual customers, projects or measured results.
Does a review policy guarantee Google acceptance?
No. It supports accountable publishing, but indexing, ranking and platform enforcement remain outside that guarantee.