SKYA is an AI Visibility Analyst platform that tracks how ChatGPT, Gemini, Perplexity, Claude, and Google AI Overview mention your brand. Run live AI visibility audits, SEO insights, and competitor intelligence, no setup required.

Which AI engines does SKYA monitor?

SKYA monitors ChatGPT, Google Gemini, Perplexity, Claude, and Google AI Overview, the five AI engines that account for the majority of AI-generated search traffic.

Is there a free trial?

Yes. SKYA offers a 7-day free trial with no credit card required.

What is AEO and why does it matter?

Answer Engine Optimisation (AEO) is the practice of optimising your content so AI systems cite and recommend your brand in their answers. As users shift to AI assistants for search, AEO determines whether your brand appears in AI-generated responses.

How is SKYA different from traditional SEO tools?

Traditional SEO tools track Google rankings. SKYA tracks how AI engines like ChatGPT, Gemini, and Perplexity actually mention, or overlook, your brand in their answers. It is purpose-built for AI search visibility, not blue-link rankings.

Do I need technical knowledge to use SKYA?

No. SKYA is fully web-based. You can run AI visibility audits and access insights without any coding or technical setup.

How AI Platforms Cite Differently: ChatGPT vs Perplexity vs Google AI Overviews

2026-08-22 · AEO · By SKYA

ChatGPT, Perplexity, and Google AI Overview each rely on different retrieval logic and source pools when choosing what to cite. This breakdown covers the data behind each platform's citation behavior and how brands can adapt their content strategy accordingly.

How AI Platforms Cite Differently: ChatGPT vs Perplexity vs Google AI Overviews Quick Answer ChatGPT, Perplexity, and Google AI Overview each choose citations using different logic. ChatGPT leans on Wikipedia and editorial authority with roughly 8 citations per answer, Perplexity retrieves live web sources and cites nearly 22 per answer with Reddit dominating its source pool, and Google AI Overview is the most selective, citing just 3 to 5 sources while weighing structural clarity and domain authority heavily. Only about 11 percent of domains cited by both ChatGPT and Perplexity actually overlap, so a one-size-fits-all content strategy fails to win visibility across all three. --- Search used to mean ten blue links and a scramble for position one. In 2026, that scramble looks different. Millions of buyers now ask ChatGPT, Perplexity, or Google AI Overview for answers. They skip the search box entirely. Every one of those answers pulls from somewhere. Understanding how AI platforms choose citations decides whether your brand shows up in that answer or gets skipped entirely. Google AI Overviews now appear in over 70 percent of personalized U.S. search results and 56 percent of non-personalized searches as of July 2026. This is not a small shift. Google AI Overviews already appear on more than half of tracked searches. Only a fraction of those citations match the old top-ranking organic URLs. The rules of visibility have quietly been rewritten. This article breaks down how AI platforms choose citations, and why ChatGPT, Perplexity, and Google AI Overview each behave so differently. What Is AEO and Why It Matters in 2026 Answer Engine Optimization, or AEO, is the practice of structuring content so AI systems can retrieve, understand, and cite it directly. It is not a rebrand of SEO. It is a parallel discipline built for a different kind of reader: a language model, not a human scanning a results page. Traditional SEO chases rankings on a search engine results page. AEO chases something narrower and harder: a citation inside a generated answer. Only three to five sources typically get named per response. That is a tight window for any brand to fit through. Ranking well on Google no longer guarantees a mention in an AI answer. Research shows that only around 12 percent of AI Overview citations match the page ranking first organically for the same query. A brand can dominate page one and still be invisible inside the answer box. Understanding how AI platforms choose citations is quickly becoming as important as understanding classic ranking factors once were. The two skill sets overlap, but they are no longer identical. AEO vs GEO vs Traditional SEO Generative Engine Optimization, or GEO, is closely related to AEO but slightly broader. GEO covers optimizing content for any generative AI surface. This includes chat assistants that answer without showing a visible citation at all. AEO is more citation-specific. It focuses on winning the visible source attribution inside an answer. Traditional SEO focuses on rankings, click-through rate, and organic traffic from a…

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