The first wave of AI SEO tools all did the same thing: prompt a language model over the public web and publish the output on autopilot. It worked for about a quarter — then Google's helpful-content system caught up and started demoting exactly that kind of commodity content.
The problem isn't AI. It's ungrounded AI.
A model asked to write about a topic will produce fluent, plausible sentences — including statistics it has no source for. Publish enough of those and you're one core update away from a penalty. The issue isn't that a machine wrote it; it's that nothing verified it.
Fact-bind: prove it or don't publish it
The fix is a publish gate that checks every factual sentence against a real source before it goes live. Bound claims publish; unbound or contradicted claims are held for review. Rutba calls this fact-bind, and it's the single biggest thing keeping content off the penalty radar.
- Ground each article in a validated, first-party insight.
- Check every stat against its source at publish time.
- Hold anything unsourced for a human, automatically.
The result is content you can publish at volume without gambling your domain on it.