Editorial Guidelines for AI SaaS Content: A Copyable Policy

TL;DR Imagine an AI-assisted draft claiming you tested a feature that is still on your roadmap. My proposed editorial guidelines require evidence for factual claims, clear labels for hypothetical examples, and a named human responsible for approval and corrections. Copy the policy below to set rules for voice, sources, product claims, screenshots, and AI disclosure.

In that hypothetical draft, the sentence reads smoothly: “We tested the integration and eliminated missed handoffs.” But you supplied neither a test nor a result. A quick tone edit would leave the central problem intact.

I would want the editorial decision settled before opening the next draft: remove the invented experience, verify the capability, and rebuild the passage around what the evidence supports.

For a bootstrapped founder, that is the policy worth keeping beside the writing brief. I would rather approve a narrow, useful tutorial than a polished article whose strongest claim cannot survive a source check.

What are editorial guidelines for an AI-assisted SaaS blog?

For this policy, editorial guidelines are the written rules that determine what an article may claim, how it should sound, and what evidence permits publication. They also assign responsibility when a published page needs correcting.

Editorial style guidelines cover presentation: language, terminology, punctuation, and tone. The broader policy must also answer harder questions. Can a roadmap feature appear in a tutorial? Who checked the screenshot? Does “I tested” describe something that happened?

Google's helpful-content guidance asks about original value, clear sourcing, factual accuracy, and accurate authorship. Those are useful reference points for review. See Google's content self-assessment guidance.

Everything in the copyable policy below is my recommended house standard, not a claim about Google's ranking requirements. Adopt or adapt it deliberately.

Copy this editorial guidelines template

Copy everything from “Scope and ownership” through “Corrections” into your working document. Fill in the ownership fields before using it. These editorial guidelines apply equally to founder-written, freelance, and AI-assisted drafts.

Scope and ownership

Purpose: Publish useful SaaS content that helps the intended reader complete the task promised by the brief.

Publication:
Policy owner:
Approving editor:
Product fact-checker:
Correction owner:
Reader correction contact:
Policy version and review date:

The same founder may fill every role. Each field must still name a person. The approving editor owns the publication decision; the correction owner owns investigating and resolving reported errors.

Apply this policy to article text, titles, descriptions, tables, captions, downloadable assets, and promotional excerpts. A claim removed from the body must also disappear from the title or summary if it appears there.

Voice and editorial style guidelines

Write to a founder trying to make a decision with limited time and budget. Lead with the answer or usable asset. Explain unfamiliar terms when the reader needs them.

Use first person for attributable decisions and opinions. Reserve experience language for documented work by the named author. Prefer concrete verbs and explicit conditions over enthusiasm.

Avoid unsupported superlatives, universal promises, filler introductions, and sentences that could describe any SaaS product. Preserve official product and feature names. Use descriptive headings and link anchors; keep keyword wording only where it names the reader's question naturally.

For these editorial guidelines, an assertive voice never licenses stronger evidence claims. “I recommend” identifies a judgment. “I measured” requires a measurement record.

Primary-source verification

Every external factual or numeric claim needs a source that supports its precise wording. Open the source and inspect the relevant passage. A generated citation, search snippet, or another article's citation list is a lead to investigate.

Prefer official documentation for capabilities, the original study for findings, and the responsible organization for policy. For changing information, record when it was checked and recheck before publication.

Maintain this claim record beside the draft:

Exact claim:
Primary source URL:
Supporting passage or evidence location:
Date checked:
Scope, conditions, and limitations:
Verifier:
Decision: keep, narrow, or remove

Place the reader-facing link beside the claim. Check that the source supports the same product version, population, timeframe, and conclusion. Do not convert a vendor's assertion into an independently demonstrated result.

If no adequate source exists, remove the claim or narrow it to an explicitly identified inference with supporting evidence. Mark proposed rules as recommendations. Label invented scenarios as hypothetical before readers encounter them.

Invented experience and original contribution

Never invent tests, customer quotations, projects, failures, measurements, or first-person anecdotes. Do not turn a hypothetical example into a case study by adding a name and confident narration.

Require a traceable record for claimed firsthand work: who performed it, what they did, under what conditions, and where the evidence is stored. Attribute another person's work to that person.

An article can contribute a useful template, worked hypothetical example, or reasoned comparison without claiming firsthand results. Make that contribution usable. A template must appear in the article or at a working link; a promised demonstration must actually be supplied.

Product claims and comparisons

Describe a capability as available only after checking current documentation and confirming the relevant behavior. Record plan restrictions, setup requirements, and material limitations beside the claim.

Label planned features as planned. Label prototypes as prototypes. Do not write instructions that depend on an unshipped feature as though a reader can follow them today.

For comparisons, apply the same criteria to each product and link to current evidence. State the testing method if claiming test results. Disclose ownership or another relevant commercial relationship where the recommendation appears.

Do not approve ranking, revenue, or time-saving guarantees without evidence establishing the exact claim. When evidence is absent, explain the intended use without promising the outcome.

Screenshots, redaction, and captions

Use screenshots captured from the real interface for product demonstrations. Record the capture date, environment, product version when available, and whether the account contains demo data.

Never fabricate interface controls, edit displayed results, or present generated imagery as a genuine screenshot. A mockup must be labeled as a mockup and cannot serve as evidence that a feature exists.

Before capture, use a clean demo account where practical. Remove credentials, private customer information, and unrelated personal details from the published asset. Use opaque redaction where needed, flatten the export, and inspect the final file, filename, and metadata before publishing.

Store the original privately with appropriate access. Do not link readers to an unredacted original.

Captions must identify what is shown, relevant limitations, demo data, and any cropping or redaction that affects interpretation. Alt text should describe the useful visual information without repeating removed details. If redaction conceals the evidence needed to understand the example, recapture it with safe demo data.

AI use and disclosure

AI may assist with outlines, drafting, restructuring, and editing. A human must verify factual claims and inspect the final wording. An AI assurance that a source was checked does not satisfy verification.

Record how AI was used in the editorial notes. Add a reader-facing disclosure when it substantially shaped the text, analysis, or illustrative material. Under this house policy, spelling-only assistance does not require an article-level disclosure.

Describe the actual assistance and review performed. Never paste a disclosure claiming human verification before that verification happens. Keep the accountable author visible.

For context, Google recommends accuracy, quality, and relevance for AI-generated content, including metadata, and suggests explaining automation where useful to readers. See Google's guidance on generative AI content. The disclosure threshold above is our editorial choice.

Acceptance criteria

Accept a draft only when all applicable checks pass:

• The article delivers the brief's promised answer and usable contribution.
• External claims have inspected sources, with limitations preserved.
• Experience claims have records; hypothetical material is clearly labeled.
• Product claims reflect verified availability and conditions.
• Screenshots and captions meet the authenticity and redaction rules.
• Voice, title, description, and links accurately represent the content.
• AI disclosure reflects the work performed.
• A named editor approves the specific draft version and owns unresolved questions.

Rewrite when a defined change can satisfy the policy. Reject a passage when its premise depends on fabricated evidence or an unavailable capability. Reject the assignment if removing that premise leaves no useful, supportable answer.

Publication dates do not override these editorial guidelines. Record the failed check and the evidence needed to resolve it.

Corrections

The correction owner investigates reader reports and internally discovered errors. Record the affected URL, disputed claim, supporting evidence, severity, and next action. Remove or qualify misleading material while verification is unresolved when leaving it unchanged could misdirect a reader.

For a material correction, update the claim and dependent captions, summaries, or related pages. Add a dated correction note explaining what changed and whether the recommendation changed. Fix spelling silently unless the error altered meaning.

The approving editor verifies the repair. Close the record only when the live page matches the correction. Review these editorial guidelines when an error exposes a missing rule.

Editorial guidelines examples: accept, rewrite, reject

Every scenario and sample sentence in this section is hypothetical. These editorial decisions illustrate the proposed policy; they report no product tests or customer outcomes.

Decision	Hypothetical passage or asset	Reason and required action
Accept	“In this hypothetical onboarding example, I would give each missing input a named owner.”	Clearly identifies the example and the recommendation; claims no measured result.
Rewrite	“Our tool prevents every missed handoff.”	Unsupported universal outcome. Replace with a specific capability only after verifying it, or remove the product claim.
Reject	“I tested the integration with customers,” when no test occurred.	Invented experience. Remove the passage and inspect the surrounding draft for related fabrications.
Rewrite	A real demo screenshot captioned “Customer results.”	The caption misrepresents the evidence. Identify demo data and explain what the image actually demonstrates.
Reject	An edited screenshot showing an unreleased control as available.	False capability evidence. Replace it with an authentic capture or a clearly labeled concept illustration.

A hypothetical disclosure, usable only if accurate, could read: “AI assisted with the initial draft and wording. The named author checked the linked sources, revised the recommendations, and approved the final article.”

A hypothetical screenshot caption could read: “Demo account showing an incomplete onboarding request. Contact details are redacted; the image is cropped to the request panel.” Add the actual capture date when using this pattern.

Notice what makes the accepted passage work: its certainty matches its evidence. For more sentence-level editing, use the guide to SEO copywriting without the robot voice. For the separate search-policy question, see how Google's scaled-content policy applies to low-quality AI content.

Attach the policy to an assignment worth approving

I would attach these editorial guidelines to the brief and keep the unresolved evidence requirements visible beside the draft. For handoffs and scheduling, use the solo SaaS content creation workflow; for arranging the answer, use the guide to turning a brief into a useful outline.

Before either, I want a defensible reason to write the article. My planning preference is winnability over search volume and related assignments over isolated topics. I would choose a question where I can afford a useful contribution and make a case for competing in the actual search results.

That is the planning problem behind Boomranq, which I am building to turn a product description into a winnability-first, 30-day SEO content calendar for small, low-authority SaaS sites. It is in development; this policy does not describe shipped review or approval features.

The calendar names the assignment. The editorial guidelines determine what I am willing to publish under my name. If the strongest sentence still depends on evidence I do not have, the next task is to obtain that evidence or rewrite the sentence.