AI content is acceptable for SEO as long as it satisfies Google's core ranking criteria: usefulness, accuracy, expertise, and user intent. Google's official stance since early 2023 is clear—they evaluate content quality, not production method. If AI helps you create better content faster, use it. If it produces thin, repetitive, or factually suspect material, it will hurt your rankings the same way human-written junk would. The practical reality is that most pure AI output needs significant human intervention. Raw ChatGPT or Claude responses often lack specific examples, current data, real experience, and the depth that ranks competitively. At Ottawa SEO Inc., we use AI for research, outlines, and first drafts on our 500+ domain portfolio, but every piece gets edited for accuracy, injected with real cases or numbers, and reviewed against what already ranks. Key risks to manage: AI hallucinates facts, repeats common phrasing that tanks uniqueness, and defaults to generic advice. If you publish AI content without fact-checking or adding proprietary insight, you'll blend into the noise. Google's helpful content system specifically targets sites that publish content at scale without demonstrating experience or expertise. Running 50 AI blog posts through a site in a week with no editorial layer is a faster path to algorithmic suppression than manually writing 5 mediocre posts. Best practice is treating AI as a junior writer who needs supervision. Use it to speed up research, generate structural options, or rephrase technical points for readability, then layer in data from your analytics, client outcomes, or industry specifics. For local SEO in Ottawa or Toronto, AI won't know which neighbourhoods matter or what CRA changes affect your clients—you add that. The content that wins isn't the fastest to produce; it's the most useful and hard to replicate. AI lowers the cost of mediocrity, but human expertise still determines whether that mediocrity gets dressed up into something rankable.