AI product copy: Google’s guidance and a review checklist

Check AI-written product claims, titles, descriptions and authorship before publishing. A practical store workflow grounded in Google’s October guidance.

JJames Bennett2 min read

Google’s guidance for AI-generated website content makes human review an explicit publishing step. For a store, that means checking more than the visible product description: titles, meta descriptions, structured data and image alt text belong in the review too.

The Search Central guidance, dated 1 October 2026, says AI can help with research and structure, but generating many pages without adding value can violate its scaled-content-abuse policy. The practical question is whether the finished page is accurate and useful to a customer.

Review the claims against the product

Our recommended starting point is a short evidence sheet for each product family. Record the approved specifications, materials, compatibility, care instructions and any limits on claims. Give the reviewer access to those sources rather than asking them merely to make the generated text sound natural.

For example, if a draft calls a jacket waterproof, compare that claim with the manufacturer’s actual specification. If only water resistance is documented, correct the claim everywhere it appears. Check the page title and search description as well as the body copy. A polished sentence can still make the wrong promise.

For variants, verify that size, capacity, colour and included accessories match the selected item. Review delivery and return statements against the store’s current policy. These are our editorial checks, not a Google ranking formula.

Check the fields customers may not see immediately

Google explicitly includes metadata in its accuracy review guidance. A correct paragraph does not fix an inaccurate title, misleading image description or inconsistent structured data.

Build the review around a real product page as rendered, then inspect the corresponding fields in your publishing tools. Ask whoever manages structured data to check that the marked-up claims match the visible page. Keep a record of what was reviewed and when, especially if an app can regenerate these fields later.

Keep authorship and comparisons honest

Google’s helpful-content guidance warns against fabricated creator profiles that make content appear to come from human experts. It encourages accurate authorship information where readers expect it and evidence of how reviews were produced.

For a buying guide, our recommendation is to state who reviewed it, what was actually tested and what came from supplier documentation. Do not invent a test, a qualification or an expert persona to make AI-written copy seem more authoritative. If your own product appears in a comparison, explain the selection criteria and the relationship instead of presenting the ranking as independent research.

The same Google guidance distinguishes quality-rater feedback from direct ranking control. A checklist is useful for editorial quality; it cannot promise a particular position in Search.

Make review part of the workflow

Start with a manageable batch and fix recurring errors in the input material before generating more pages. Assign a reviewer, keep the approved version and recheck pages after bulk app updates. Prioritise claims that could change a purchase decision.

If you are investigating an existing traffic decline, use a separate diagnostic process. Our September spam-update coverage explains why the rollout dates alone do not diagnose an individual store’s performance.

Watch the discussion

Search Engine Roundtable’s 5 October 2026 “It’s New” episode discusses the content-guidance changes alongside other search news. This is independent commentary, not a Google announcement.

Watch the original episode · Barry Schwartz’s episode summary on X

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Review the claim, not just the wording. Check the product facts, visible copy and metadata together before approving an AI-assisted page.
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