AI SEO doesn't have one standardized name because it covers multiple use cases. You'll see "AI-powered SEO," "generative SEO," "AI content optimization," and "programmatic SEO at scale" used interchangeably depending on what part of the workflow you're automating. The core idea is the same: leveraging machine learning models, natural language processing, and generative AI to handle tasks that used to require hours of manual work. Generative SEO specifically refers to using tools like ChatGPT, Claude, or custom LLMs to produce content en masse—think automatically generating city-specific service pages, FAQ schema, or product descriptions. Programmatic SEO overlaps here but traditionally meant template-driven pages fed by databases, whereas generative SEO implies the AI writes unique text for each page. AI-powered SEO is the broader umbrella. It includes content generation but also covers predictive keyword clustering, automated internal linking suggestions, AI-driven technical audits, and even tools that analyze SERP intent and recommend content angles. Platforms like Surfer SEO, Clearscope, and Frase call themselves AI content optimization tools because they use NLP to compare your draft against top-ranking pages and suggest semantic keywords. At Ottawa SEO, we use AI across the stack—GPT models for drafting FAQ content and meta descriptions, Python scripts with AI APIs for bulk title tag optimization across our 500-plus domain portfolio, and machine learning tools to predict which content clusters will drive the most qualified traffic. The trick is blending AI efficiency with human editorial judgment. Google's helpful content guidelines penalize purely auto-generated fluff, so we treat AI as a co-pilot, not the sole author. Watch out for vendors selling "AI SEO software" that's just keyword stuffing with a chatbot frontend. Real AI SEO means structured workflows: prompt engineering, quality checks, schema markup, and ensuring the output matches search intent. The terminology will keep evolving, but the principle stays the same—use AI to scale the repeatable parts so you can focus strategy and creativity where it matters.