To add original insights to an AI-generated SaaS post, find the sentence that sounds helpful but could apply to any product. Ask what the reader needs to decide, check your own product evidence, and rewrite that sentence with a concrete action and its limits. If you cannot verify a product detail, leave it out rather than making the passage sound more certain.
Start with the claim the reader would act on
A generated draft might say, “Automate every customer onboarding handoff so nothing falls through the cracks.” That sounds plausible, but it does not tell a sales lead what to do when nobody has accepted ownership. Mark that sentence for development. The useful contribution is an answer to the handoff problem—not a more emphatic version of the promise.
Ask the person closest to the product: What action can this reader take? What does the software actually record? Where does a person still have to decide? Google’s helpful-content questions ask whether a page offers original information or analysis and leaves readers with enough information to achieve their goal. Those are useful tests for the revised passage, not a ranking guarantee.
If the question and required product facts have not been settled yet, use the SaaS content-brief guide first. Here, the question is already chosen; the work is to develop a draft’s answer with evidence.
Keep a source-material worksheet beside the draft
For each passage you intend to improve, record the fields below. The filled-in entries are a fictional exercise about an onboarding product, not documentation for a real service. Its proposed behavior must be checked against current firsthand material before it can appear as a factual product claim.
A current help page, product specification, or confirmed walkthrough can establish what a user does; a customer conversation can reveal the question or an exception worth explaining. Do not treat either as evidence for results it did not measure. Keep the exact source passage or walkthrough notes with the draft so the editor can check the wording, not just a source title.
| Field | Fictional example entry |
|---|---|
| Reader question | What if no onboarding owner is assigned when sales hands off an account? |
| Draft claim | “Automate every handoff so nothing falls through the cracks.” |
| Firsthand source to check | Current owner-assignment specification and a walkthrough with the product owner; neither is supplied in this example. |
| Behavior to verify | A teammate selects an owner manually; the shared record holds that assignment and handoff notes. |
| Useful example and limit | Show the missing-owner case. Do not imply an automatic assignment or a measured improvement. |
| Status | Hypothetical until the team checks the proposed behavior; otherwise use a product-neutral answer. |
Replace the promise with an answer
First write the advice that holds even without the product: if no receiving owner has been named, do not describe the handoff as complete. Name a person responsible for finding that owner, pass along the customer’s agreed goal and unresolved questions, and identify the next action. This gives the reader a usable process rather than making software the prerequisite for solving the problem.
Now add only behavior that the worksheet’s firsthand source confirms. If the fictional team verifies manual owner selection and shared notes, its revised passage could read: “If an account has no onboarding owner, keep responsibility with the sales lead until someone accepts the handoff. Record the customer’s goal, open questions, and next action in the handoff notes. Once an owner is selected, introduce that person to the customer. In this example product, a teammate selects the owner and the shared record holds the assignment and notes; it does not decide who should take the account for you.” This is illustrative copy, not a verified description of a real product. The final sentence should be used only if the team also verifies that limitation; otherwise remove it.
Notice what changed: the reader knows what to do when the ideal handoff has not happened, and the product mention has a defined job. The draft no longer promises that automation prevents missed handoffs or that the software routes accounts. If the specification confirms notes but says nothing about owner assignment, keep the practical process and mention only notes. Silence in a document is not proof that a feature does not exist; it is a reason not to claim it yet.
Check whether the new passage earns its place
Read the passage without the product name. Can the reader identify a next action and the condition that changes it? Then read each product sentence against its exact source: does the source support the action, who performs it, and any stated limit? Mark fictional scenarios as illustrative. Remove unsupported customer outcomes, time savings, and claims that every team’s workflow works the same way. Google advises manually fact-checking AI-generated content for accuracy before publication; fluent wording is not verification.
Ranks says articles can be inspected and edited before publishing; with Autopilot off, generated articles remain drafts for review. That gives a team requiring a person to make each publication decision room to replace a generic claim with its checked answer. Automatic publishing checks are not a requirement for human approval of every article, so leave Autopilot off when this evidence work must happen before each release.
If the product owner cannot confirm the behavior, publish a product-neutral answer only if it still solves the reader’s question; otherwise hold the draft. This is a passage-level evidence decision. For the separate question of whether an ongoing blog should publish, improve, or skip a proposed article at all, use the automated-blog usefulness guide.
