How to use AI for blog content without publishing slop

By SimonSeptember 16, 2026

Start with a reader question and a useful contribution, then keep sources, factual checks, explanatory images and prose editing separate.

A manuscript with editorial marks beside source cards, a pencil and magnifying glass.

AI-generated conceptual illustration of editorial checking, not evidence of a human review.

I don't want Stackmodo's blog full of keyword-stuffed articles that say nothing. AI can help write an article, but it can't give us a reason to publish one.

For an established creator or brand, that reason usually starts with a question from the audience. Someone needs to compare membership options, prepare a content launch or understand a payment problem. If our article only rearranges what's already in the search results, making it sound more human won't help them much.

Decide what the reader should be able to do after reading. Then treat research, fact checking and prose editing as separate jobs. A convincing sentence can still be wrong.

What Google's guidance actually says

Google's guidance on generative AI content says AI can help with research and with structuring original content. Its spam policy defines scaled content abuse as generating many pages primarily to manipulate search rankings rather than help users. That typically involves large amounts of unoriginal material with little or no value, regardless of how it was created.

That isn't a ban on AI writing, or a promise that an AI-written article will rank. We still have to produce something worth reading.

Google's people-first content guidance asks whether an existing or intended audience would find the content useful if they came directly to the site. It also asks whether the work adds original information or analysis instead of simply rewriting other sources. I'd rather start with those questions than "write something for this keyword".

Search research is still useful. It shows what readers will find already, which terms might need explaining and which questions remain unanswered. Record the searches and useful pages, but don't turn a few results into claims about demand or search volume. They don't establish either.

Decide what you're contributing before writing the introduction

A brief should be specific enough that someone can reject a draft for failing to answer it. This decision sheet is one way to get there. It's a planning template, not a Google scoring system.

Decision: Reader

What the brief needs: A recognisable person facing a particular problem.

Decision: Question

What the brief needs: One question the article will answer fully enough to be useful.

Decision: Existing answers

What the brief needs: The useful sources and what they already explain.

Decision: Contribution

What the brief needs: A decision table, worked example, checklist or original reporting the reader can use.

Decision: Evidence

What the brief needs: The sources or records needed to support factual claims.

Decision: Limits

What the brief needs: What the article cannot establish and must not imply.

Decision: Publication owner

What the brief needs: The person responsible for deciding whether it is ready.

Take a hypothetical brief: "Write an SEO article about memberships." The writer has a topic, but no reader or decision to work with. A more useful brief would be:

Help a video creator who releases occasional standalone collections decide between one-time purchases and a subscription. Compare the publishing commitment each option creates, what buyers can expect between releases and the support each requires. Use a decision sheet the creator can fill in. Don't invent revenue projections or claim either option always earns more.

Now the writer knows what to explain, and the reviewer knows what to check. The comparison and its reasoning are the contribution. They don't need made-up figures to count as original work.

Choose that contribution before asking for an introduction. Otherwise it's easy to finish a vague article, tack on a checklist and mistake that for a useful answer.

Editorial brief connecting a reader question to existing evidence, a useful contribution and explicit limits — An original planning template: define the useful contribution before writing the prose.

Keep the evidence beside the draft

A pile of links doesn't tell an editor which sentence each source supports. A source ledger should.

Give each source a stable identifier in the working notes. Record its URL, title, retrieval date, relevant passage and the claim it supports. Put the identifier beside the claim while drafting. Before publication, turn those references into descriptive links where readers need them, rather than asking readers to match numbers to a list at the bottom.

The ledger should also distinguish evidence from recommendations:

Draft statement: Google says AI can help with research and structure.

Evidence status: Supported by Google's generative AI guidance linked above.

Editorial action: Link to the guidance; don't imply a ranking benefit.

Draft statement: A publication checklist must include an owner.

Evidence status: Recommendation in this article.

Editorial action: Present it as a proposed practice, not a Google requirement.

Draft statement: A platform feature works in a particular way.

Evidence status: Needs current product documentation or a verified observation.

Editorial action: Retrieve the evidence before including the claim.

Draft statement: A customer saved hours using the workflow.

Evidence status: No customer evidence supplied.

Editorial action: Remove it. A plausible anecdote is not evidence.

Read the underlying pages. A search snippet can leave out a condition that changes the meaning. If you can't retrieve a source, find another authoritative source or narrow the claim to what you can support.

Label vendor claims too. A marketing page tells you what a company advertises. It doesn't prove that a particular customer's integration behaves that way, or that a proposed feature has been deployed.

Check facts without polishing them

Give the fact checker a different job from the prose editor: examine each sentence, rather than make it more convincing. Check names, dates, comparisons, product behaviour and claims about the author's experience against the ledger or supplied records.

Calculate the numbers. Test instructions in the relevant environment before saying they work. Explain what screenshots show. If a test couldn't run, keep that limitation in the draft; don't let an editing pass turn it into a confident claim.

First-person prose deserves particular care. "I use this workflow" and "here is a workflow you could use" make different claims, even though an AI can write either fluently. The evidence decides which one is honest.

Give the writing assistant a short set of approved facts about the author. Knowing a product's purpose doesn't establish its launch story. Describing a workflow doesn't establish how much time it saved. Leave those claims out unless the author can substantiate them.

Give each image a job

An article comparing purchase options might need a decision table readers can scan against their own release plans. A generic robot at a keyboard wouldn't help them choose.

Write the image brief around what the reader needs to understand. A flowchart can show where work stops; a comparison matrix can put trade-offs side by side. A genuine screenshot can document an interface, as long as the accompanying claim stays within what it shows.

Google's image guidance recommends placing images near relevant text, choosing descriptive filenames and writing useful alt text without keyword stuffing. The caption should explain something too. Label conceptual illustrations so readers don't mistake them for product screenshots or measured results.

Publication review flow requiring evidence, a useful contribution, accurate visuals and an explicit release decision — Proposed publication checks. An unresolved factual claim returns the draft to research; a prose edit does not clear it.

Check the page on a small screen. If the labels are unreadable, the diagram hasn't done its job, however good it looked in the image editor. Keep the essential information in the article text as well.

Edit the voice after checking the substance

A humanizer pass should cut empty claims, repetitive sentence patterns and forced metaphors. Watch for smooth transitions that make weak reasoning sound finished. Keep useful detail even when it makes a paragraph less tidy.

Compare the rewrite with the checked draft. Look for "may" becoming "will", a recommendation turning into an established result, or a personal anecdote added to warm up the voice. Each of those changes needs evidence or removal.

Keep the earlier draft and a short audit of the changes. Better prose shouldn't change what the article can honestly claim.

If AI contributed substantially, explain its role where that context would help readers. Google's generative AI guidance recommends considering information about how automatically generated content was created, in a way that makes sense for the audience. Don't add "human reviewed" unless that review happened. The same guidance includes metadata and image alt text in its accuracy expectations, so the final check needs to cover the whole page: source links, title, description, captions, image loading and any structured data claims.

Whether you publish with Stackmodo or another system, leave the article in draft if a central fact remains unsupported. The next edit needs to supply the missing evidence, narrow the claim or remove it before publication.

Editorial note: AI assisted the research, drafting and prose revision of this article. The templates are suggested practices, not reports of tested results.