People keep asking about SEO, AIO, AEO, and GEO. They sound similar, but they are not the same thing. Here’s the simplest way to understand the difference. SEO Search Engine Optimization This is about helping your content rank in traditional search results. Think Google links, blog posts, product pages, keywords, and backlinks. Goal: get someone to click your website. AEO Answer Engine Optimization This is about helping your content be selected as a direct answer. Think featured snippets, “People Also Ask,” voice search, and AI summaries. Goal: get your content quoted as the answer. AIO AI Optimization This is about helping large language models understand and trust your content. Think ChatGPT, Gemini, Perplexity, Claude. Clear structure, clean explanations, authority, and context matter more than keywords. Goal: get your content referenced, summarized, or cited by AI. GEO Generative Engine Optimization This is the newest layer. It focuses on how generative AI systems assemble answers from multiple sources. Your content must be modular, factual, and easy to remix without distortion. Goal: influence how AI builds responses, not just what it ranks. The big shift most people miss: Search is no longer just about clicks. It’s about visibility inside AI-generated answers. SEO gets you found. AEO gets you quoted. AIO gets you understood. GEO gets you included in the story AI tells. If you’re only doing SEO in 2025, you’re only playing part of the game. This is exactly why content strategy has changed. Learn more here: https://www.linkedin.com/company/aichatadvisor

I wanted to share a quick update that’s worth paying attention to if you use ChatGPT regularly. OpenAI has just released GPT-5.2, and it’s now live in ChatGPT as well as the API. A few highlights that stood out to me 👇 • Much stronger for real workGPT-5.2 Thinking is the first model to hit expert-level scores on OpenAI’s GDPval benchmark, which tests real professional tasks like writing documents, building spreadsheets, creating presentations, and problem-solving. • Fewer mistakesCompared to GPT-5.1, responses with errors were reduced by around 38%. That matters if you’re using ChatGPT for research, planning, writing, or decision-making rather than just casual questions. • Clearer model choicesYou’ll now see three main options: – Instant for fast answers, how-tos, and learning– Thinking for deeper reasoning, structured work, and complex tasks– Pro when accuracy matters more than speed • Big improvements for developers and agentsIf you build tools or workflows with AI, GPT-5.2 is much better at long-context understanding, tool calling, and completing multi-step tasks end-to-end. Overall, this feels like a meaningful step forward for people actually using ChatGPT to get things done, not just experiment. If you’ve already noticed differences when using ChatGPT today, I’d love to hear what you’re seeing.What feels better? What still feels the same? Cheers Jason