Signs of AI Writing in a Store Blog Post, and What to Edit

A store blog post reads as AI when it could sit on any store's site: a stock opener, tidy three-part lists, the same paragraph shape over and over, and no product detail only the seller would know. You fix it by editing, not by running it through a detector. Cut the opener, name real products with real details, and vary the rhythm. Here are the ten signs we edit for, and the fix for each.

Why does it matter if a post reads as AI?

Because readers react to it. Bynder surveyed 2,000 people in the UK and US in 2024 and published the results: 50% correctly picked the AI-written article, and 52% said they become less engaged when they suspect copy is AI-generated. For website copy specifically, 26% said they would find the brand impersonal.

The same study holds the honest twist: 56% actually preferred the AI-written version when nobody told them which was which. Readers do not punish AI drafting. They punish the feeling of it. A post that reads like a person wrote it loses nothing, however the first draft was made.

Google is not the issue here. Its published position rewards useful content however it is produced, and we covered that in full in does AI content hurt SEO. The reader is the one who clicks away.

Can a detector tell you?

Not reliably, and the strongest evidence comes from the people who build them. OpenAI launched its own AI text classifier in January 2023 and withdrew it six months later, writing: "As of July 20, 2023, the AI classifier is no longer available due to its low rate of accuracy."

Detectors also flag humans. A Stanford team ran seven detectors over 91 TOEFL essays written by non-native English speakers, and more than half were wrongly flagged as AI-generated, while over 90% of essays by US eighth-graders were correctly classed as human. A tool that fails like that cannot be your quality gate. Reading the post like a skeptical shopper can.

What are the signs in a store blog post?

Wikipedia's volunteer editors keep a public list of the patterns they clean up, "Signs of AI writing", with a caveat worth keeping: the patterns are "only potential signs of a problem, not the problem itself". The same is true below. Any one of these can appear in honest human writing. Stacked together, they make a post read as generated. Here are the ten we edit for, grouped by where they live.

The opening

• 1. A stock opener that restates the title or sets a scene ("In today's fast-paced world"). The edit: delete the first paragraph and start with the answer.

The substance

• 2. It could be any store's post. No product named, no price, size, material or use. The edit: name two or three of your products with one real detail each. This is the sign shoppers feel most, and the one posts that feature your products are built to avoid.
• 3. Claims with no owner. "Studies show", "experts agree", a statistic with no source. The edit: link the source or remove the claim.
• 4. Product details that are slightly wrong. A feature the product lacks, an old price. The edit: check every detail against the product page.

The rhythm

• 5. Everything comes in threes, and every paragraph has the same length and shape. The edit: break one list, merge two paragraphs, let one sentence stand alone.

The wording

• 6. The stock vocabulary. Delve, elevate, unlock, seamless, game-changer, tapestry, testament. The edit: swap each for the plain word, or cut the sentence.
• 7. "It's not just X, it's Y" and other setups that argue with nobody. The edit: say the Y part directly.
• 8. Filler that announces instead of saying. "It's important to note that", "When it comes to". The edit: cut the phrase, keep the fact.

The ending and the dressing

• 9. A closing paragraph that summarizes the post ("In conclusion") and a generic call to action. The edit: end on the last useful point and one specific next step.
• 10. Heavy formatting. Bold in every sentence, Title Case Headings, stacked dashes. The edit: bold only what a skimmer needs, and write headings as the questions shoppers ask.

What should you edit first?

Three of the ten fix most posts. Delete the opener and start with the answer. Add the products, each with one detail a shopper cares about. Then break the rhythm somewhere, because ten tidy paragraphs of equal length read as a machine even when every fact is right.

The fastest fix of all is one thing only you know: who buys this product, what customers ask before they buy it, what goes wrong when it is used the wrong way. One sentence of that beats three paragraphs of polish, because no model and no competitor can write it. If you generate posts in batches, do this edit for the whole batch in one sitting; the review-in-one-pass workflow in bulk creating blog posts for Shopify is built around exactly this read-through.

A before and after

Both paragraphs below are examples written for this post, for a store that sells kitchenware.

Before: "In today's fast-paced world, choosing the right cookware can feel overwhelming. It's not just about cooking, it's about elevating your entire culinary journey. There are many options to delve into, each with unique benefits."

After: "Carbon steel heats faster than cast iron and weighs about half as much, which is why line cooks reach for it. Our 10-inch pan is 2.6 pounds, takes a sear in under four minutes, and needs the same seasoning habit as cast iron: dry it, oil it, done."

The second version opens with the answer, names a product with its real numbers, and ends on a next step a reader can use. Nothing in it needed a writer, only the product page and one habit a seller actually knows.

How does Riten handle this?

Riten writes articles from your real product data, which deals with the emptiest sign on the list: posts with no product in them. Before you ever see a draft, every article runs through Content Humanizer, which strips AI patterns, normalizes typography and removes banned phrases, and Quality Review, which checks word count, keyword density and structure and applies auto-fixes where they are safe.

The specifics still come from you. The one-thing-only-you-know sentence, the price sanity check, the final read: those stay human, and nothing goes live until you review it. Version History keeps up to 10 versions per article, so an edit that goes wrong is a free restore, not a rewrite. And the checklist above works the same whether or not you ever install anything.

FAQs

Can Google tell if a blog post was written by AI?

Google's published position is that it rewards useful, high-quality content however it is produced, and its spam policies target scale without value, not the drafting method. The standard it applies is usefulness. We cover the policies in detail in does AI content hurt SEO.

Do AI detectors work?

Not reliably. OpenAI withdrew its own classifier in July 2023, citing its low rate of accuracy, and a Stanford study found seven detectors wrongly flagged more than half of 91 essays by non-native English writers as AI-generated. Edit for the reader instead of testing for the machine.

What is the fastest way to make an AI draft sound human?

Cut the opening paragraph and start with the answer, add two or three of your products with one real detail each, and vary the rhythm so not everything arrives in threes. Then add one thing only you know about the product, because that is the sentence no model can write.