Key takeaways
- Experience is the only E-E-A-T signal AI cannot invent: it has to come from your team, your customers or your supply chain.
- Product pages carry E-E-A-T through sourcing detail, testing conditions, named authors and returns policy, not adjectives.
- A named reviewer on every published version is the cheapest trust signal a store can add.
- Run the 12-point checklist below at review time, not after publication.
What E-E-A-T actually is (and isn’t)
E-E-A-T stands for Experience, Expertise, Authoritativeness and Trust. It comes from Google’s Search Quality Rater Guidelines, a document written for the human raters who assess results, not a ranking algorithm you can query. There is no E-E-A-T score in Search Console, and no plugin can give you one.
What it is, practically, is a description of the evidence a page offers about who made it and why they can be believed. For ecommerce that evidence is unusually easy to produce and unusually often missing: you handle the product, you answer the support tickets, you know the failure modes. Most stores simply never write it down.
Why AI-generated copy erodes it by default
A model writing a product description has no first-hand experience of the product. It produces fluent, structurally correct, entirely non-specific copy: “premium materials”, “designed for everyday comfort”. That text is not penalised for being AI-written; Google’s guidance is explicit that how content is produced doesn’t matter. It underperforms because it contains no information a competitor’s page doesn’t also contain.
The question isn’t “was this written by AI?” It’s “could any other store have published this exact sentence?”
This is why the review step matters more than the drafting step. AI can assemble most of a description in seconds; the rest (the tested temperature, the mill, the two customer complaints you fixed in v2) is what makes the page rank and convert. A reviewer is the only person who can add it.
The four signals, translated for a store
| Signal | What it looks like on a product page | Who can supply it |
|---|---|---|
| Experience | “Tested at -10 °C by our own team for two winters”: a claim only someone who used the product can make. | Support, founders, customers |
| Expertise | Fibre specifications, care instructions that explain the why, sizing advice tied to real return data. | Buyers, product managers |
| Authoritativeness | Named author with a public bio, citations from trade press, supplier and certification pages linked. | Marketing, PR |
| Trust | Visible returns policy, real contact details, verified reviews, last-updated date on every page. | Operations, legal |
The 12-point review checklist
Run this against the proposed version, not the live one. Anything that fails goes back to the author as a change request.
- Contains at least one claim only we could make
- Names the material, origin or process specifically
- States how the product was tested, and by whom
- Author byline present and linked to an author page
- A second reviewer named where stakes are high
- Last-updated date visible and accurate
- No unverifiable superlatives (“best”, “premium”)
- Answers the top three support questions on this product
- Returns, shipping and warranty reachable in one click
- Internal links to the relevant buying guide and collection
- Structured data: Product, Offer, Article as relevant
- Every number in the copy traceable to a source
How to measure whether it worked
E-E-A-T has no metric, so measure its proxies: impressions on long-tail informational queries, click-through rate on the pages you rewrote, time to first ranking for new product pages, and the share of pages that carry a named author. Track them per batch of reviewed versions so you can attribute movement to the rewrite rather than the season.
Sources and references
- Search Quality Rater GuidelinesGoogle · PDF
- Creating helpful, reliable, people-first contentGoogle Search Central
- Google Search's guidance about AI-generated contentGoogle Search Central Blog
Hugo built his first Shopify stores around 2015, while studying management and accounting, after teaching himself to code as a teenager. He then specialised in digital marketing at ESCEN in Bordeaux and has worked with clients since 2018, first in web communication, then as a webmaster. Since 2020 he has led IT projects at Rodhouse, including its full migration to Shopify in 2023, and is now its Tech Lead. Vetta grew out of a problem he kept meeting with clients: content changed by people nobody had checked, with no way back. Away from the screen, he travels, keeps a close eye on investing and new technology, and spends as much time as he can on the water.
Frequently asked questions
Is E-E-A-T a ranking factor?
No. It is a concept from Google's Search Quality Rater Guidelines, used by human raters to evaluate results. Google's systems approximate the same qualities through many signals, so improving E-E-A-T improves what is measured, but there is no single score to optimise.
Does AI-generated content hurt E-E-A-T?
Not by itself. Google judges the output, not how it was produced. AI content underperforms when it is generic, unverifiable and indistinguishable from every competitor's page. A human review that adds first-hand detail and a named author closes most of that gap.
Do product pages need an author byline?
Short descriptions, no. Long buying guides, category pages and anything advising on fit, safety or health, yes, with a link to an author page that states the person's actual background.