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May 13, 2026
Unsolicited #SEO tip: If it wasn't painfully obvious with recent algorithm updates, like the big one in January, Google prefer "non-commodity" content and Danny Sullivan was helpful enough to give som
π https://www.linkedin.com/posts/markseo_seo-activity-7452832930265108480-iD6X/
β¨ AI note
Google's algorithm updates prioritize non-commodity content with real-world experience and expertise over generic, easily replicated information.
Content
Unsolicited #SEO tip: If it wasn't painfully obvious with recent algorithm updates, like the big one in January, Google prefer "non-commodity" content and Danny Sullivan was helpful enough to give some examples.
The writing has been on the wall for years, and Google is only accelerating its plans to prioritise content that demonstrates real-world experience and unique expertise (aligning with their E-E-A-T guidelines) over generic advice that can be easily replicated by competitors or AI.
To define these terms:
β»οΈ Commodity Content: This is standard, surface-level information that is widely available across the internet. It often relies on general knowledge, curated lists, or curated imagery from other sources. Because it is highly replicable, it struggles to stand out in search results.
π Non-Commodity Content: This is highly specific, original content rooted in personal experience, professional expertise, and real-world application. It provides deep-dive analysis, specific case studies, or proprietary testing that cannot be easily copied by someone without your exact background.
To win in modern SEO, you must move away from simply answering the query and move towards adding unique value to the conversation.
This means:
1/ Stop regurgitating the consensus: If your article looks just like the top five ranking pages but rewritten, it is commodity content.
2/ Leverage your daily operations: Your best content ideas will come from your day-to-day workβclient objections, unique problem-solving moments, and specific case studies.
3/ Show, don't just tell: Incorporate original data, personal anecdotes, proprietary tests, and first-hand analysis.
This is why all those schemes of pumping out content "at scale" with AI are going to come back to bite you. π·οΈ