Audit your visibility. Write for humans. Optimize for AI search.

Search is splitting into two different jobs. Traditional SEO competes for clicks on a results page. A growing share of queries are now answered directly inside AI Overviews, ChatGPT, or Perplexity — no click required, and position-1 click-through rate has dropped 58% when an AI Overview appears (Ahrefs, December 2025). Winning clicks back with more of the same SEO tactics doesn’t work, because the traffic didn’t move to a competitor’s link — it stopped clicking at all. The fix is optimizing for citation instead: structuring content so an AI system names your business directly inside the answer. A citation functions as visibility even without a click, and some share of that does convert to direct visits at no ad cost.

They overlap more than they differ. AEO (Answer Engine Optimization) focuses on becoming the direct answer to a specific question. GEO (Generative Engine Optimization) focuses on how generative AI models represent and recommend a brand across a conversation. We use AIO (AI Optimization) as the umbrella term because it also covers a category neither AEO nor GEO was built to describe: AI agents that search, compare, and even purchase on a person’s behalf, not just AI systems answering a person directly. Note that “AIO” is also used elsewhere to mean Google AI Overviews specifically — when we say AIO, we mean the broader discipline, not that one feature.

Yes. When an AI system names a business directly in its answer, the person asking already has the name, the recommendation, and often enough context to call, book, or buy without visiting the website — the conversion can happen with zero recorded site traffic. Standard analytics won’t show this unless citation tracking is built in separately, which is why traffic-only reporting increasingly understates real demand.

More than most businesses realize, and increasingly more than keyword density does. Keyword injection — stuffing a page with target terms — used to be enough to influence ranking, but it does nothing to influence whether an AI system trusts a source. AI engines cross-reference what a business claims about itself against independent sentiment from sources like Google Reviews and Reddit threads, which are far harder to fabricate at scale than a page’s wording. Reddit, Wikipedia, and YouTube combined account for roughly 24% of all sources ChatGPT cites. A business can write anything on its own site; consistent sentiment across independent sources is what AI treats as evidence.

Because each platform searches a different corner of the internet. Multiple 2026 citation studies, including an analysis of 680 million AI citations, found that only about 11% of domains are cited by both ChatGPT and Perplexity for the same query — meaning roughly 89% of what one model cites is invisible to the other. Being visible in one AI model says very little about visibility in another; each has to be measured and addressed on its own terms.

Because each model draws on a different mix of sources, training data, and real-time retrieval by region and language, there’s no single shared index the way Google has one ranking algorithm. A March 2026 study by Profound, analyzing 3.25 billion citations across 7 models and 14 countries, found that query language is often a stronger driver of citation differences than geography alone, and the two interact in opposite directions depending on the model. A business visible in one language or region cannot assume it’s visible in any other without testing each combination deliberately.