Most SEO teams already use AI to write content. Almost none of them can explain the system behind it.
In a recent SEJ webinar, Darrell Tyler, Senior Manager of Organic Growth at CallRail, shared a stat from his own conversations across the industry: roughly 85% of the SEOs he talks to use AI for content, and only about 12% have documented systems governing that use.
That gap is the whole problem. Adoption already happened. What separates teams now is whether AI runs on a foundation or runs loose.
Darrell walked through the four layers that turn an AI subscription into an actual advantage, why your content reads generic without them, and the audit that shows where your gaps are.
Watch the on-demand webinar right now and get the full framework.
85% Of SEOs Use AI For Content. 12% Have A System Behind It.
Adoption is settled. In Darrell’s conversations across the industry, the vast majority of SEOs are already using AI for content in some form. The split shows up one layer down: only about 12% have documented systems for how that AI actually gets used.
“If your AI use is identical to your competitor’s AI use, you don’t actually have a strategy or an advantage, you just have a subscription,” Darrell said.
The symptoms of an underbuilt operation are ones most practitioners recognize. Output drifts between team members because everyone runs their own prompts. Quality decays at scale: the first few articles look great, then by article 97 there is a visible decline because the work started optimizing for saved tokens instead of business outcomes. Publish 500 articles on a weak foundation and you have produced 500 brand-misaligned pages, not 500 wins.
Darrell named this scaled inconsistency, invisible quality atrophy, and optimization drift. Scaling AI without the systems to support it is not growth. It costs real traffic and real time spent re-fixing published work.
The first move is an honest audit of where your team actually stands. Run the AI maturity audit inside the on-demand session.
Why Your AI Content Reads Like Everyone Else’s
Why does AI content sound generic?
Because the AI starts from the same blank slate your competitors use. If you write an article on what call tracking is, and a competitor writes the same article with a similar prompt, you both ship roughly the same output. Darrell calls the input “blank slate AI,” and it is a large part of why AI content gets hit from an organic perspective. It matches everything else already published.
The line he wants you to leave with: “You can’t prompt your way out of an undocumented context.”
Prompt engineering is real, but it does not rescue an AI that has no context about your business. The model is not the bottleneck. The platform is not the bottleneck. The operation around the AI is. Without documented context, the AI writes from what exists on the internet, which is the same source your competitors pull from.
Action item: before you scale, document the context that…
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