AI search engines pull in a small set of trustworthy pages that closely match your question, then quote or summarize the ones that answer it most clearly. They favor content that gives a direct answer near the top of the page, backs up claims with specific facts, and is easy for software to read. They also look for agreement across the web: when a business is described consistently on its own site, on review sites, and in places like industry publications and community forums, AI tools become more confident recommending it. Importantly, a page does not have to rank first in traditional search to be cited, because clear and credible content can be chosen even when it sits lower in the regular results.

SEO (Search Engine Optimization) is the long-standing practice of helping your website rank in traditional search results, like Google's list of blue links. GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) are newer terms for getting your business mentioned and cited inside AI-generated answers from tools like ChatGPT, Gemini, and Perplexity. They overlap heavily, since all three reward clear, trustworthy, well-organized content, but they are not identical. Ranking well on Google no longer guarantees you will appear in AI answers, so most businesses now need to pay attention to both.

The simplest way is to ask these AI tools the questions your customers would ask, then see whether your business is mentioned, how it is described, and which competitors appear instead. Because each tool draws from different sources and the answers can change over time, a one-time check is not enough. Tracking your visibility across several tools and questions on a regular basis gives a far more reliable picture, showing where you are already recommended, where you are invisible, and what to fix first.

To get cited, answer a real question clearly and directly early on the page, support it with specific facts or examples, and organize the page with plain headings and short, self-contained sections that software can lift cleanly. It also helps to be described consistently elsewhere on the web, including review sites, industry articles, and community discussions, because AI tools trust businesses that multiple independent sources describe the same way. Finally, keep important pages current and make sure automated crawlers can read them, since outdated or hard-to-read pages are far less likely to be quoted.

Yes, though its role has shifted. Structured data, also called schema markup, is hidden code that labels what is on a page, such as identifying your business, your services, or an author, so search engines can classify it correctly and connect it to the right topics. Google has retired some of the eye-catching display features this code used to produce, including the FAQ dropdowns that once appeared under search listings, so schema is no longer a shortcut to flashy search results. It still helps Google, Bing, and AI systems understand your content with confidence, but the visible words on your page, not the code, are what AI tools actually read and quote.

An entity is simply a clearly defined thing that AI can recognize and tell apart from others, such as a specific company, person, place, product, or topic. AI search tools build a map of how these things relate, so being a well-defined and consistently described entity helps them understand exactly who you are and when to recommend you. You strengthen this by describing your business the same way everywhere, connecting yourself to the topics you specialize in, and using schema and authoritative profiles to remove any doubt about which thing you are.

Keywords still matter, but they work differently than they used to. Older search optimization often meant repeating the exact phrases people typed into Google. AI search cares more about meaning and intent, so it rewards content that genuinely and thoroughly answers a topic in natural language rather than pages that simply repeat the same phrase. The practical approach is to write the way your customers actually talk, cover the related questions they are likely to ask, and focus on being genuinely useful instead of chasing keyword counts.