AI search optimization is the work of making your brand and content visible, cited and recommended in AI-generated answers. This guide brings the whole field together in one place — from the core concepts to the practical platforms and the new agentic commerce. Use it as a map, and go deeper through the links in each section.
1. What AI search is, and why it changes everything
More and more people get answers directly from AI instead of clicking blue links. AI-referred traffic is growing fast, and a whole generation uses AI as a primary information source. The result is zero-click search: the user gets the answer without visiting your site. So it's critical to be the source AI builds its answer on. Start with what AI visibility is.
2. AEO, GEO and LLMO: three names, one foundation
The disciplines overlap but have different centers of gravity:
- AEO — Answer Engine Optimization: becoming the answer in answer-based experiences.
- GEO — Generative Engine Optimization: getting cited in generative search results.
- LLM SEO / LLMO — optimizing for the language models directly.
3. How to optimize your content
The foundation is the same regardless of discipline: entity optimization, chunk optimization and structured data. Write dense, expert content where each paragraph can stand alone as a complete answer, and make your brand a clear entity AI recognizes. See LLM SEO for the building blocks.
4. The platforms: ChatGPT, Perplexity and AI Overviews
Each platform has its own mechanics. Learn how to win at AEO across them, and how AI Overviews, ChatGPT and Perplexity each surface and cite sources.
5. Measurement: the new metrics
You can't steer by Google positions alone. Learn to measure visibility in AI search, track share of voice and document ROI with the CAVIS framework and Share of Model KPIs.
6. Agentic commerce: AI visibility as a sales channel
For online stores, AI visibility becomes a commercial channel. AI agents now transact via open standards: Universal Commerce Protocol (UCP) and OpenAI's ACP. Get ready with the ChatGPT Shopping guide and the readiness checklist.
7. Get started with CitationLab
CitationLab brings this whole toolkit together: measuring citations, share of voice, sentiment and competitor benchmarking across the AI platforms. Take a free AI visibility check to see where you stand — and build a data-driven plan from there.
Frequently asked questions
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Definitions used in this article
- AI search optimization
- AI search optimization is the work of making a brand and its content visible, cited and recommended in AI-generated search results such as ChatGPT, Perplexity, Gemini and Google AI Overviews. It spans the disciplines of AEO, GEO and LLMO.
- Answer Engine Optimization (AEO)
- Answer Engine Optimization (AEO) is the practice of becoming the answer in answer-based AI experiences, by structuring content, entities and trust signals so the engine selects you.
- Generative Engine Optimization (GEO)
- Generative Engine Optimization (GEO) is the practice of getting content cited and recommended inside generative search results from AI models.
- Zero-click search
- Zero-click search is when a user gets a complete answer directly from a search or AI experience without clicking through to any website.
- Share of voice
- Share of voice in AI search is the proportion of relevant AI answers in which a brand is mentioned or cited, relative to its competitors.
