AI content performs well for SEO when it's edited, fact-checked, and enhanced by someone who knows the topic. Raw AI output typically lacks the depth, specific examples, and original insights that separate ranking content from filler. Google's guidelines explicitly say they don't penalize AI content, but they do penalize thin, unhelpful content regardless of how it's made. The practical advantage of AI is speed and scale. You can draft 20 product descriptions or FAQ answers in an hour instead of a day. The disadvantage is that unedited AI content often repeats the same points everyone else covers, uses generic phrasing, and misses nuances that come from actual experience. If your competitor publishes 10 AI articles per week with no human refinement and you publish 3 per week that include real data, case context, and a clear point of view, you'll typically outrank them. We use AI at Ottawa SEO for first drafts, meta description variants, and content gap analysis. But every piece gets rewritten by someone who's done the work—someone who can add specifics like "we tested this on a 12-page site in Ottawa and saw X" or "CRA's requirements mean you need Y". That mix lets us publish more without sacrificing the expertise signals Google's algorithms prioritize. The biggest risk with AI content is homogenization. If you and 50 competitors all use the same prompts on the same topic, you all publish similar answers, and none of you stand out. Google's algorithmic updates since 2022 have consistently rewarded originality and punished redundant content. Bottom line: AI is a tool, not a shortcut. Use it to handle repetitive tasks and speed up research, but layer in human expertise, specific examples, and a distinct perspective. That approach scales better than pure human writing and ranks better than pure AI writing.