AI content won't hurt your rankings if it's good. Google's official stance since February 2023 is that helpful content created for users is fine regardless of method. The algorithm can't reliably detect AI versus human writing, and frankly doesn't try to. What it does measure is expertise, factual accuracy, user engagement, and whether pages satisfy search intent. The harmful scenarios are real but avoidable. Publishing hundreds of thin AI articles with no editing creates exactly the pattern Google's helpful content system targets—sites that exist to rank rather than help users. We've seen domains in our portfolio lose 40–60% traffic after flooding categories with unedited ChatGPT output. The other landmine is factual errors. AI hallucinates stats, invents case studies, and confidently states outdated information. If your content makes claims about tax rules, medical advice, or local regulations without verification, you're building on sand. How Ottawa SEO uses AI: we treat it like a research assistant and first-draft writer, never a publisher. For our 500+ domain portfolio, AI handles outlines, initial drafts, and content expansion. Then humans verify facts, add specific examples from our work, inject local context (like CRA vs IRS differences), and rewrite anything generic. This hybrid approach cuts production time by 50–60% while maintaining the expertise signals Google rewards. The practical test is simple: read your AI content as a skeptical user. If it sounds like every other article on page one, provides no new insight, or makes you think "did anyone actually check this?", it's harmful. If it answers the question better than competitors and reflects real experience, you're fine. The format doesn't matter—the value does. We've had AI-assisted pages outrank fully human-written competitors because we focused on depth and accuracy, not just speed.