Give the page a reason to exist.
Before drafting, name the person it should help and the decision it should support. A page about your service can explain how it works, what the client provides and how a deliverable is reviewed. That is more useful than broad promises about transforming a business. If removing the company name leaves content that could belong to anyone, the brief probably needs more business knowledge.
Add what your business actually knows.
Use the inputs that make the answer specific: a documented process, an approved example, a constraint a buyer should understand or a tradeoff your team regularly considers. These inputs need not be dramatic. Explaining why a content idea and a finished asset require different approvals can answer a real buyer question. Invented experience, customer quotations and performance figures cannot fill a gap in evidence.
Review claims against their sources.
Identify statements a reader might rely on. Check the source, date, context and scope. A feature in a development screen is not evidence of a service running for every client. A percentage without a date window or denominator is hard to interpret. Where evidence is missing, remove the claim, qualify it precisely or obtain the required information before publication.
Check the finished page, not only the text.
Review the title, headings, descriptions, image captions, links and calls to action with the main answer. Remove repetition that adds length without information. Make sure a reader can tell what is being offered and what to do next. Test the actual mobile page: an excellent explanation does little good if the navigation hides it or the main control does not work.
Use automation with a clear editorial purpose.
Google's guidance allows useful applications of generative AI, including research and structure. It also warns about producing many pages without adding value. Changing a city, industry or target phrase across otherwise identical pages is not a useful editorial strategy. Publish a separate page when it contains a separate, worthwhile answer.
Read Google's guidance on generative AI contentKeep the work accurate after release.
Maintain a list of claims and pages that depend on changing information. Revisit service availability, linked sources and examples when the underlying facts change. A review date should reflect a real editorial check. Updating a timestamp alone does not make an answer current.
Use a claim record rather than a detector score.
Record the claim, its source, the relevant limitation and the decision made during review. A detector score does not establish whether the service is available, whether a figure is accurate or whether the page helps its reader.
| Draft claim | Evidence problem | Editorial decision |
|---|---|---|
| A saved calendar date proves publication | The date records a plan, not a delivery result | Describe the scheduling state and confirm publication separately |
| Every customer receives the same outcome | No evidence establishes a universal result | Remove the promise |
| The Eye is a panel of customers | It provides AI perspectives, not customer research | Name the AI role accurately |
Require a release decision for the version being published.
A practical review record identifies the exact draft, the checks completed and the unresolved questions. Business claims need someone with the authority and knowledge to confirm them. A later material edit should reopen that review.
Automated checks can flag missing metadata, copied paragraphs, broken destinations or risky phrases. They cannot certify originality across the web, verify a private business fact or guarantee Google policy compliance. Treat them as a first filter and preserve the human decision.
For AI-assisted material, explain the role of automation when a reader would reasonably expect that context. Do not invent a human author, reviewer or first-hand experience. The goal is accountable content, not a label that makes a draft appear more trustworthy.