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Documentation Index

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SERP (Search Engine Results Page) is the list of results returned by a traditional search engine — typically 10 blue links ranked by algorithmic relevance. SERPs have been the primary competitive surface for SEO since the late 1990s. AI-generated answers are now supplementing (and in some use cases replacing) SERPs as the first touchpoint in customer discovery.

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Why it matters

Understanding SERPs is important context for GEO because the two competitive surfaces have fundamentally different dynamics. A SERP has room for 10 organic results; a typical AI answer mentions 3-5 brands. A SERP click goes directly to the source page; an AI mention may or may not include a citation link. The transition from SERP-based discovery to AI-answer-based discovery is what makes GEO a distinct discipline rather than an extension of SEO.

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How it applies in practice

Cited does not track SERPs directly — that is the domain of traditional SEO tools like Ahrefs, Semrush, and Google Search Console. Cited tracks the AI answer layer that sits alongside or above SERPs. The relationship between SERP ranking and AI visibility varies by platform: Gemini draws from Google’s search index (making SERP ranking more predictive), while Perplexity uses independent retrieval.
  • GEO vs SEO — the full comparison between the two disciplines
  • GEO — the discipline that extends beyond SERPs
  • How Gemini search works — the platform most connected to Google’s SERP infrastructure