AI content affects SEO rankings the same way any content does: quality and relevance matter, production method doesn't. Google's March 2024 helpful content system explicitly states they don't penalize content based on how it's created. If your AI content answers the query better than competitors, shows real expertise, and isn't just rehashed generic fluff, it can rank fine. The problem is most AI content fails those tests without human oversight. Where AI content typically falls short: it invents statistics, repeats the same bland advice every competitor already published, lacks specific examples or case data, and sounds like every other AI article in the niche. Google's algorithm is built to surface content that demonstrates experience and first-hand knowledge. A purely AI-generated piece about Ottawa real estate rankings won't beat an agent's article with neighbourhood price trends and photos from actual listings they sold. The workaround isn't avoiding AI—it's using it as a drafting tool, not a publishing tool. At Ottawa SEO, we use AI to outline structures, generate first drafts for technical explanations, and speed up meta description variants. Then a strategist with actual SEO experience rewrites the intro, adds concrete numbers from our portfolio data, cuts the generic sections, and injects perspective you can't prompt into existence. That hybrid workflow cuts production time by 40–60% while keeping quality high enough to rank. Watch out for: AI content detectors are unreliable and not used by Google, so don't waste time trying to "beat" them. The real risk is scale without quality control—publishing 100 AI articles per week with no editing will eventually trigger helpful content penalties, not because they're AI, but because they're thin and unhelpful. If you're using AI, budget time for substantial human editing, fact-checking, and adding unique data or examples. Treat AI like a junior writer who needs a senior editor, and your rankings will be fine.