White Oak Digital’s team asked founder DJ Wetzel why so much AI-generated content quietly backfires. His answer cuts against the “just publish more” advice you hear everywhere. Here’s the conversation, distilled.
For a couple of years, the advice was everywhere: publish more. Spin up an AI writer, point it at a list of keywords, and flood your site with articles. Nobody reads “10 Signs You Need a New Roof,” the thinking went, but Google counts it, so throw it at the wall and watch your rankings climb.
For a while, it even worked. That window has closed — and for a lot of local businesses, the wall is now covered in stuff that’s actively dragging them down.
The detection got good
The quiet story of the last two years is that search engines and AI systems have gotten dramatically better at recognizing machine-generated filler. Google’s guidance shifted hard toward rewarding genuine helpfulness and first-hand experience, and its systems learned to spot the tells: content that says a lot without knowing anything, that could have been written about any business in any town.
This isn’t a rumor or a scare tactic. DJ sees it in the data every week: sites that leaned hardest on the “publish everything” playbook watched traffic that once looked like a win evaporate — not because they were penalized in some dramatic manual way, but because the generic pages simply stopped being surfaced. The content that used to be a small asset quietly became a liability.
As DJ put it:
“The detectors caught up faster than most owners realized. If a page could’ve been written by anyone, about any town, the machines now treat it that way — as noise.”
— DJ Wetzel, M.Ed., White Oak Digital
The strategy that worked in 2024 is hurting you now
Here’s the uncomfortable part. It’s not just that generic AI content stopped helping — on many sites, it’s now doing damage.
When a large share of your pages read as thin and interchangeable, that shapes how both Google and the AI recommendation engines understand your whole site. Instead of a clear picture of a specific, expert local business, the machines see a fog of forgettable articles — and fog is exactly what makes an AI system reluctant to recommend you by name. You’ve spent effort making yourself harder to understand.
DJ doesn’t mince words:
“I’ve watched local shops pay a subscription every month to make themselves less recommendable. The volume play didn’t just stop paying rent — it started charging them.”
— DJ Wetzel, M.Ed., White Oak Digital
The paradox at the center of AI search
There’s a paradox worth naming, because it explains everything. The AI systems doing the recommending do not want to read more AI content — they’re drowning in it. What they use to decide who deserves a recommendation is the one thing a content mill can’t produce: authentic human expertise.
Think about what an AI is actually doing when someone in Greenville asks it for a good local accountant or a trustworthy contractor. It’s looking for evidence it can trust. First-person perspective. Specific local detail. A point of view that clearly comes from someone who has done the work, in this place, for these kinds of people. Generic content is precisely the thing it discounts, because it’s the thing anyone — or any bot — could have written. It’s the same expertise gap that quietly sinks so much local content marketing: pages produced by people who don’t actually do the work.
So the businesses winning in AI search aren’t the ones publishing the most. They’re the ones publishing the most real — and there is far less of that to compete against than you’d think.
What “real voice” actually means
“Authentic” gets thrown around until it means nothing, so DJ gets concrete about it: real voice is you explaining why you always check the flashing around a chimney first, and what you’ve learned goes wrong when people don’t. It’s the specific neighborhoods you serve and the problems you see there. It’s an opinion — a stance a competitor might actually disagree with. It’s the story of a job that didn’t go to plan and what you did about it.
None of that can be generated, because none of it lives in a training set. It lives in your head, from years of doing the work. That’s exactly why it’s durable: it’s the one competitive advantage that can’t be copied or automated by the person down the road who bought the same AI writing tool you did.
This is the whole reason White Oak Digital built its approach around capturing the owner’s expertise rather than manufacturing content around them. As DJ explains it:
“My job isn’t to help you publish more. It’s to pull what’s already in your head — your real perspective, in your real words — and put it where the AI can find it. That compounds. Volume just decays.”
— DJ Wetzel, M.Ed., White Oak Digital
The Local Content Engine exists to do exactly that: turn what’s in your head into content that AI systems recognize as the genuine article — the kind of thing generic content will never be able to compete with.
The practical bottom line
If your content sounds like everyone else’s, you will be invisible in AI search — not because you did something wrong, but because “sounds like everyone else” is the definition of unrecommendable. The machines are now optimizing for the opposite of what the content flood produced.
DJ’s take is blunt: the move isn’t more, it’s realer. Fewer pages that actually carry your expertise — the kind of local content that actually works now — will beat a hundred that carry nobody’s.
If you want to understand how AI systems currently read your business — and whether your content is helping or quietly hurting — start with our free AI Visibility Snapshot, or dig into how the Local Content Engine turns owner expertise into visibility that compounds. The sooner you stop competing on volume and start competing on voice, the sooner you become someone the AI can actually recommend.
— Based on an interview with DJ Wetzel, M.Ed., founder of White Oak Digital.