Generative Engine Optimization (GEO) Playbook

Objective and Scope

Improve content visibility in AI-generated responses.
Maximize inclusion in generative AI summaries.
Enhance authority, trustworthiness, and clarity to increase citations by generative engines.

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1. Understanding Generative Search Behavior

Generative engines synthesize results from trusted, high-authority, and contextually rich sources. Understanding their patterns helps you prioritize the right content channels.

Platform	Top Citation Sources	GEO Implications
Perplexity	46.7% Reddit, 13.9% YouTube	Prioritize Reddit answers, YouTube shorts, and authentic community engagement.
ChatGPT	47.9% Wikipedia, 11.3% Reddit, 6.7% G2, ~5–6% Forbes / TechRadar	Build strong Wikipedia entries, B2B SaaS reviews, and credible PR mentions.
Google AI Overviews (SGE)	21% Reddit, 18.8% YouTube, 14.3% Quora, 13% LinkedIn	Balance visibility across discussion-driven and professional platforms (LinkedIn, Quora).

Source: Aggregated visibility data from publicly available analyses and early GEO platform insights (2024–2025).

2. Keyword and Prompt Research for GEO

Traditional keyword tools don’t reflect how users interact with AI assistants. GEO research blends prompt behavior with entity discovery.

Extend beyond keywords into prompt and question analysis.
Capture long-tail, conversational queries from Reddit, Quora, and AnswerThePublic.
Map content to roles, use cases, and problem/solution language.
Focus on context clusters — entities that co-occur within LLM responses.

3. Keyword Research Platforms for GEO

Generative Engine Optimization starts with understanding how AI assistants interpret topics, entities, and intent.