Journalists-turned-marketers, rejoice!
Google broke its silence (and the hearts of GEO & AEO “gurus” everywhere) Friday morning with its first official article about optimizing for AI search. And the biggest takeaway is something that many of the best marketers have been proclaiming for years:
The path to earning more AI visibility starts with foundational, people-first SEO.
For all my fellow journalists doubling as marketers who kept prioritizing non-commodity content and the art of storytelling at the heart of SEO, it’s a good day. For the self-proclaimed GEO experts, it’s a humble reminder that shortcuts don’t last.
Google's AI optimization guide clearly states that AI Overviews and AI Mode aren't operating on a separate set of rules. Instead, they pull from the same core ranking systems Google has always used. If your content earns trust in traditional search, it earns presence in AI search.
After all, where does every single LLM get every single piece of knowledge they source?
Here’s a quick rundown of Google’s claims:
What’s Important for AI Visibility? |
What’s Smoke & Mirrors? |
|
Creating non-commodity content with a unique point of view that only you could write |
"Chunking" content into small pieces so AI can better understand it |
|
Meeting core technical SEO requirements: crawlable, indexable, snippet-eligible |
Creating llms.txt files or special AI markup to appear in AI search |
|
Writing for your human audience first |
Seeking inauthentic "mentions" across blogs, forums, and the web |
|
Supporting content with high-quality images and video |
Overfocusing on structured data as an AI search lever |
|
Adhering to Google’s spam policies for content creation |
Treating AEO/GEO as a discipline separate from SEO |
These are some of the claims that GEO truthers have been clinging to, all dismissed in one fell swoop from Google.
Lily Ray, one of my favorite voices in this space, has been saying as much for years. Her research has consistently shown that the "GEO wins" people celebrate can almost always be traced back to something simpler: strong pre-existing SEO performance built on real content fundamentals.
One part that I’m especially keen to see is Google's framing around non-commodity content.
The guide draws a hard line between content that could have been written by anyone – think "XYZ Tips for High-Search-Volume Topic" – and content that only you could write by pulling from unique personal experience, opinion, and perspective.
Kind of like a journalist writing a feature story after interviewing unique sources, extracting key bits of information only they could have gotten from specific questions, and turning that into an organized story.
In the newsrooms I worked in, the question was never "what's ranking?" It was "what's true, what matters, and who needs to know?"
Every article existed for a reason. Breaking news the community needed to be informed on. Untold stories that connected people in the community (in my case, fans with the teams and athletes they cheer on). Op-ed pieces that existed for accountability.
Writers and editors pushed back on each other. Designers weren't handed a finished article at the last minute; they were part of the conversation from the start. There was a shared standard that ran through everything: if it goes out under our name, it has to be right, and it has to be good.
That standard produces categorically different output than a keyword brief and a content template. This is the type of newsroom-like perspective shift I’m excited to see B2B businesses adopt in the coming years.
They shouldn't be, but for a lot of businesses, they might feel unexpected.
The past two years produced a massive wave of AI search anxiety. New acronyms appeared weekly: GEO, AEO, LLMO. Each one came with a course, a guru, and a promised shortcut to visibility in AI-generated answers. Businesses that had never invested in real content strategy suddenly felt behind, and some of them panicked into tactics that actively worked against them.
The practitioners who didn't panic were the ones who'd been building on fundamentals all along. They kept writing content with depth and specificity. They kept investing in real perspective and genuine expertise. They kept treating their audience like people who deserved something worth reading.
Google's guidance on helpful, people-first content has been saying this for years. They even made it clear when first guiding about AI-generated content: the quality bar wasn't changing just because production got cheaper. What changed was how easy it became to produce low-quality work at scale. And Google's systems got sharper at identifying it.
AI has made it easy to produce words, not tell stories. The words that feel human and are organized in a compelling way are the ones that get remembered by readers.
Somewhere between the rise of content marketing and the arrival of generative AI, writing became a volume game. Brief, produce, publish, repeat. The output became interchangeable, boring, and easy to pick out.
Google has noticed too. Its helpful content system is built to reward content that leaves readers feeling satisfied, not just informed. That means that something resonated as you read through it, a specific detail rang true or presented a new perspective you hadn't considered.
Intentional storytelling is slower than templated production. It requires you to have something to say before you start writing. It asks for a real opinion, a specific example, a moment of honesty that couldn't have come from anyone else.
This is the version of content that Google is now formally rewarding in AI search. And it reminds me of something I was constantly reminded of as a journalist, something that every business serious about growth has to learn:
If you put your name on something, make it worth reading.