AI citation is the new visibility currency: an AI system references your content as a source in its generated answer, and only 11% of domains get cited by both ChatGPT and Perplexity. This hub collects GeoXylia's AI-citations cluster — the mechanics, the evidence, and the platform-specific playbooks.
How do AI engines choose sources?
All engines share the same five-stage pipeline (query understanding, RAG retrieval of candidate passages, scoring, selection, citation rendering) but score differently:
- ChatGPT (52.1% US share): tier-dependent — Business/Enterprise reads Bing (94% of citations from top-10), Plus reads Google. Wikipedia = 30% of its top-1,000 citations
- Perplexity (3.4% share, highest per-visit value): recency-weighted (30-day content at 3.2x), Reddit-heavy (46.7% of top-10 commercial citations), 4–6 citations per answer
- Google AI Overviews + AI Mode (43% US trigger): YouTube is the top-cited domain (~29.5%); Google self-citation is 17.42% of AI Mode
- Claude (21.5%): Brave Search, most UGC-leaning, longest citation tail
What gets cited most?
Original research: 82% citation rate. Comparison content: 76%. Listicles: ~50% of top AI citations. Tables: 2.5x vs prose. The median cited page: 1,282 words with 120–180-word answer blocks. Structure beats length — 53% of cited pages are under 1,000 words.
The cluster
- [AI Citations: The Complete Guide (2026)](/blog/ai-citations-complete-guide-2026) — the flagship pillar with the 5-step framework
- [How AI Citations Work](/blog/how-ai-citations-work) and [How AI Assistants Cite Sources](/blog/how-ai-assistants-cite-sources-guide), the mechanics
- [How RAG Actually Decides What to Cite](/blog/how-rag-actually-decides-what-to-cite), retrieval internals
- [How AI Citations Work Across Platforms](/blog/how-do-ai-citations-work-across-platforms) and [AI Citation Behavior Comparison 2026](/blog/ai-citation-behavior-comparison-2026), the platform matrix
- [AI Source Attribution](/blog/ai-source-attribution-seo-complete-guide), attribution mechanics and what they mean for you
- [AI Search Ranking Factors 2026](/blog/ai-search-ranking-factors-2026), the evidence-ranked factor list
- [How to Get Cited in Every Major AI Platform](/blog/how-to-get-cited-in-every-major-ai-platform-perplexity-chatgpt-gemini-claude), the multi-platform playbook
- [AI Overviews: 43% Trigger, 2.4x Conversion](/blog/ai-overviews-25-percent-23x-conversion-rate), the AIO data
- [Advanced GEO: 10 Strategies Top-Ranking Sites Use](/blog/advanced-geo-10-strategies-top-ranking-sites-use), the advanced layer
- [AI Citation Patterns 2026](/blog/ai-citation-patterns-2026), pattern research
Your next step
Run a [free audit](https://geoxylia.com/audit) to see which of the 9 citation-readiness dimensions is holding your site back — benchmarked against our 476-site dataset (median 75/100). Or continue to the [Perplexity SEO hub](/blog/perplexity-seo) for platform-specific playbooks.
Sources: [Ahrefs: AI Overview brand correlation](https://ahrefs.com/blog/ai-overview-brand-correlation/) · [Aggarwal et al., arXiv:2311.09735](https://arxiv.org/abs/2311.09735) · [Similarweb](https://www.similarweb.com/) · [DerivateX](https://derivatex.agency/)
Disclosure: AI-assisted, human-edited. Statistics verified against the GeoXylia research base.