In 2026, more than a third of American consumers now start product research inside ChatGPT, Perplexity, Google's AI Overviews, or Claude. Traditional SEO isn't dead - but it now has two siblings you need to master: AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). This is how the winners are being cited.
The three optimization disciplines
- ✓SEO - ranking blue links on Google, Bing, DuckDuckGo
- ✓AEO - being the answer inside Google's AI Overview, Featured Snippets, People Also Ask, and Alexa/Siri responses
- ✓GEO - being cited as a source inside ChatGPT, Perplexity, Claude, Gemini, and other LLM-powered assistants
How LLMs actually pick their sources
Large language models pull from a mixture of their training corpus and real-time retrieval-augmented generation (RAG). To be surfaced, your content needs to be crawlable, structurally clean, and semantically clear. Long, wandering paragraphs get skipped. Direct question-and-answer patterns, short definitional intros, and heavy use of JSON-LD schema get picked up.
The GEO checklist
- ✓Add FAQPage, HowTo, Article, and Product schema on every relevant page
- ✓Write a one-sentence answer directly under every H2
- ✓Use unambiguous entity names (people, places, brands) - LLMs love disambiguated entities
- ✓Publish original data, quotes, and case studies - LLMs prefer citable, primary sources
- ✓Keep robots.txt friendly to GPTBot, PerplexityBot, ClaudeBot, and Google-Extended (unless you want to block them)
- ✓Publish an llms.txt file describing your content architecture
What's still true from classic SEO
Speed, mobile-friendliness, HTTPS, backlinks, and E-E-A-T (Experience, Expertise, Authoritativeness, Trust) still matter - arguably more, because LLMs weight authoritative sources heavily. If your Google rankings are strong, your GEO citations tend to follow.
