SEO, AIO and GEO: What Is the Difference?

SEO, AIO and GEO all help customers find you, but in different places. SEO (search engine optimization) helps you rank in classic search results, AIO (AI Overview optimization) helps Google AI Overviews use and credit your content, and GEO (generative engine optimization) helps AI assistants such as ChatGPT, Gemini and Claude cite your brand in their answers.

SEO (search engine optimization) is the practice of helping your pages rank in classic search results. It covers making pages crawlable and indexable, matching content to what people search for, earning links and improving page experience. Good SEO is also the foundation for AIO and GEO.

AIO (AI Overview optimization) is the work of helping Google AI Overviews, the AI summaries shown above search results, use and credit your content. It builds on SEO, because pages need to be indexable, clear and factually consistent. Answer-first writing and structured data make it easier for a summary to draw on your page.

GEO (generative engine optimization) helps AI assistants such as ChatGPT, Gemini, Claude and Perplexity mention and cite your brand when they answer questions. It focuses on clear answers, consistent facts across your site and listings, and structured data those engines can read. Tracking prompts over time shows whether the work is paying off.

Yes, you still need SEO if you focus on GEO, because search engines and AI engines both reward pages they can understand. Pages that cannot be crawled or indexed are unlikely to be used in AI answers either. Treat SEO as the foundation and build AIO and GEO on top of it.

Content works for both search and AI engines when it gives clear answers, keeps facts consistent and includes structured data. Put the direct answer near the top of each section, make sure details such as prices, hours and policies match everywhere, and describe key pages with Schema.org JSON-LD. Those habits help pages rank and get cited.

The AI engines that matter most for GEO are the assistants and answer tools your customers use, such as ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews. Each one selects sources in its own way and cites only a few of them. Tracking several engines gives a fuller picture than relying on one.

Prompt tracking is the practice of regularly asking AI engines the questions your customers ask and recording how they respond. It shows whether your brand is mentioned or cited, what is said about it and which competitors appear. Because AI answers vary between runs, track the same prompts over time rather than relying on a single check.

Apex® supports classic SEO with XML sitemaps, Google Search Console, metadata, redirects and keyword research. These help search engines discover, crawl and understand your pages. Because they are built into the platform, your team manages them in the same place it publishes content.

Apex® supports AI search with Schema.org JSON-LD structured data, llms.txt and IndexNow, which help engines read and discover your content. Prompt tracking then shows how AI engines respond to the questions your customers ask. Together they help you see and improve how AI answers describe your brand.