Google Says Stop Publishing Commodity Content. That Was the GEO Thesis All Along.

What did Google actually say about commodity content?

At Search Central Live in Toronto, Google’s Danny Sullivan told publishers to stop creating commodity content and to write unique, authentic, non-commodity content instead. Commodity content is information that is widely available, easy to replicate, and offers little original insight. It covers a familiar topic in a familiar way — the same structure, the same talking points, the same generalized advice already published across dozens or hundreds of other pages.

The reasoning is blunt: commodity content gives Google no clear reason to prefer one page over another. When every page on a topic says the same thing in the same shape, the engine is choosing between interchangeable options. Non-commodity content gives it a reason to choose.

This is not a new ranking factor. It is a restatement, in plain language, of the selection problem that sits underneath both classic search ranking and AI citation. And for anyone working in Generative Engine Optimization, it reads less like news and more like Google validating the thesis out loud.

What are Google’s examples of commodity vs non-commodity content?

Google gave two industry examples, and they are worth quoting because the contrast is so clean.

For a running store, the commodity page is “Top 10 Things to Consider When Buying Running Shoes.” The non-commodity page is “Why This Customer’s Shoes Collapsed After 400 Miles: A Wear Pattern Analysis” — a deep dive into the actual wear pattern on one customer’s shoes after 400 miles.

For real estate, the commodity page is “7 Tips for First-Time Homebuyers.” The non-commodity page is “Why We Waived the Inspection (And Saved $15k): A Look Inside the Sewer Line.”

In both cases the move is identical: from a generic numbered list to a single, first-hand, specific instance. The commodity version could have been written by anyone, about no one. The non-commodity version could only have been written by the person who was there.

What are Google’s three tests for non-commodity content?

Google reduced “good” content to three properties. A page is non-commodity when it is:

1. Unique — it brings a viewpoint, information, or material that others lack or cannot easily replicate.
2. Specific — it talks about a particular instance, situation, or thing, not general rules.
3. Authentic — it demonstrates first-hand knowledge or expertise.

A page that hits all three is hard to substitute. That is the entire point. Substitutability is what makes content commodity, and non-substitutability is what earns the click — or, in the AI era, the citation.

Why is this the GEO thesis restated?

Because AI citation is a selection problem, and it runs the same test Google just described. When ChatGPT, Perplexity, Gemini, or Google AI Overviews assemble an answer, they do not “rank” a page — they extract a short passage and use it as the citation anchor. If your page repeats what a hundred others already say, the engine has no reason to quote your passage specifically. It will quote whichever source is easiest to extract and hardest to substitute.

So the properties that make content non-commodity for Google are the same properties that make a page quotable for an LLM:

• Unique maps to proprietary data and original material — the thing an engine cannot find anywhere else, so it has to cite you for it.
• Specific maps to single-instance content — a named situation an engine can quote verbatim without hedging.
• Authentic maps to demonstrable first-hand expertise — the E-E-A-T signal that separates a source worth quoting from a page that merely aggregates.

The brands winning AI citation are not the ones publishing the most “Top 10” lists. They are the ones publishing the running-shoe wear-pattern analysis.

How do you make content non-commodity in practice?

Three disciplines, all of which we apply to win AI citation at Citable:

Lead with proprietary data. The most reliable way to be unique is to publish a number nobody else has. Our published threshold is concrete: posts carrying 19 or more sourced data points average meaningfully more AI citations than posts below that floor, and first-party data outperforms third-party data because there is no competing source for it. The discipline of data density — a specific number, unit, and source in place of “many,” “significant,” or “often” — is exactly what turns a commodity page into a non-commodity one.

Anchor every piece to a single instance. Google’s examples are not coincidentally narrative. “Why this customer’s shoes collapsed after 400 miles” is specific in the way “top 10 things to consider” can never be. A single documented case, with real numbers and a real outcome, is both more authentic to a reader and more quotable to an engine. The BLUF/AED editorial pattern — lead with the answer, follow with evidence, then depth — is the structure that makes that specificity extractable.

Demonstrate first-hand work. A wear-pattern analysis, a real cost breakdown, a documented audit. Authenticity is not a tone; it is evidence of having done the work. First-party case studies, original surveys, and proprietary benchmarks are the raw material — and they belong inside a deliberate structure, not scattered across isolated posts. That structure is the Context Hub: an entity-anchored cluster built so an engine can cite you confidently across every sub-query it fans out for a topic.

What does this change for content teams?

Mostly, it removes the excuse. For two years the debate over AI search has been clouded by the hope that volume, freshness, or keyword coverage would be enough. Google just said, in its own words, that the bar is unique, specific, and authentic — and that commodity content does not clear it.

That bar is the same whether the destination is a blue link, a featured snippet, or an AI Overview citation. A content program built to be quoted by an LLM is, by construction, a content program built to satisfy Google’s non-commodity test. The reverse is also true: a brand still shipping “Top 10” lists is invisible to both.

If you want to know which of your pages are commodity and which are citable, that is the first thing our AI Visibility Audit measures — page by page, against the engines that decide.