Google AI Overviews
Google AI Overviews are the AI-generated summaries at the top of search results. Here's how they work, what they mean for your traffic, and how to get your content featured.
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Learn AI search
Search now has two audiences: people and the models answering for them. These guides cover the terms, the tactics, and the standards behind getting found and cited by AI search.
AI Search Optimization
AI search optimization is getting your brand and content surfaced across AI answer engines. A practical playbook for ChatGPT, Perplexity, Google AI Overviews, and more.
Read the guideAnswer Engine Optimization (AEO)
Answer Engine Optimization is the practice of getting your content surfaced and cited by AI answer engines like ChatGPT, Perplexity, and Google AI Overviews.
Read the guideChatGPT SEO
ChatGPT SEO is the practice of getting your brand and content surfaced in ChatGPT's answers — through both its training data and its live web search. A practical guide to being the source ChatGPT names and cites.
Read the guideGenerative Engine Optimization (GEO)
Generative Engine Optimization is optimizing content to be cited by generative AI engines. Here's how GEO works, what the research shows, and how it differs from SEO.
Read the guideLLM Optimization (LLMO)
LLM Optimization is the umbrella practice of making your brand and content something large language models surface, mention, and cite. Here's how LLMO relates to AEO and GEO, and the tactics that move the needle.
Read the guidellms.txt
llms.txt is a simple markdown file that tells AI models what your site is about and where to find your best content. Here's what it is, what goes in it, and whether it actually helps.
Read the guidePerplexity SEO
Perplexity SEO is the practice of getting your content cited in Perplexity AI's answers. Because Perplexity runs a live web search and always shows its sources, well-ranked, quotable, freshly-updated pages win.
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