Understanding AI Citation Algorithms

AI search engines like Perplexity and ChatGPT use retrieval-augmented generation (RAG) to pull web content into their answers. They favour sources that are: (1) frequently cited across the web, (2) structured with clear Q&A formatting, (3) from domains with strong topical authority. Traditional PageRank still matters but is weighted differently.

The Role of E-E-A-T in AEO

Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) directly influences which sources AI systems trust. Add author bios with credentials, cite original research, and earn backlinks from authoritative domains. AI models are trained to prefer sources that humans have verified as trustworthy.

Semantic Clustering for AI Visibility

Build topic clusters — a pillar page with 8–12 supporting pages — covering every angle of your core keyword. AI systems that have seen a domain cover a topic comprehensively are more likely to cite it. This is why broad, shallow sites rarely appear in AI answers even when they rank well traditionally.

Tracking and Iteration

Measure AI Share of Voice weekly using OptiAISEO. Track which pages get cited in AI answers by testing your target keywords manually in ChatGPT and Perplexity. Iterate on pages that rank in Google but don't get cited — they usually need better answer formatting or additional FAQ schema.