A curated list of Generative Engine Optimization (GEO) resources — tools, articles, research, and frameworks for optimizing brand visibility in AI-powered search engines like ChatGPT, Claude, Gemini, and Perplexity.
GEO is the practice of optimizing content so that AI language models cite, recommend, and accurately represent your brand when answering user queries — analogous to SEO for traditional search engines.
- What is GEO?
- Tools
- Research Papers
- Articles & Guides
- Key Concepts
- Platforms to Optimize For
- Community
- Contributing
Generative Engine Optimization (GEO) is the discipline of optimizing digital content so that AI language models (LLMs) like ChatGPT, Claude, Gemini, Kimi, and DeepSeek:
- Discover your brand when answering relevant queries
- Recommend your brand accurately and favorably
- Cite your content as a credible source
Unlike SEO (optimizing for search engine rankings), GEO focuses on how AI models represent and recommend brands in generated responses — no click required.
Key differences from SEO:
| SEO | GEO | |
|---|---|---|
| Goal | Rank on page 1 | Get cited in AI answers |
| Signal | Backlinks, keywords | Third-party citations, structured data |
| Timeline | Weeks to months | Months (training cycle dependent) |
| Measurement | Rankings, organic traffic | AI mention rate, recommendation rank |
- Anchor — AI brand visibility scoring tool. Measures how your brand appears across ChatGPT, Claude, Gemini, and DeepSeek. Generates GEO score (0-100) with competitor benchmarking and optimization recommendations. Free tier available.
- Profound — Enterprise AI search monitoring and analytics platform.
- Otterly.ai — Track brand mentions in AI-generated responses.
- Peec AI — Monitor AI citations and brand visibility in LLM responses.
- Share of Model — Measure brand share of voice in AI model responses.
- Clearscope — Content optimization platform (applicable to GEO content strategy).
- Surfer SEO — Content optimization with NLP analysis.
- GEO: Generative Engine Optimization (2023) — Princeton/Georgia Tech foundational paper introducing GEO framework. Key finding: citations +40%, statistics +170%, quotations +156% improve AI visibility.
- Who benefits from GEO? (2024) — Analysis of which content types gain most from GEO strategies.
- AGREE (2024) — Adaptive framework for generative engine optimization.
- Search Engines in the Age of Generative AI (2024) — Survey of AI search implications for content discovery.
- GEO vs SEO: What's Different When AI Answers Instead of Google — Core differences between traditional and generative search optimization
- Why Reddit is More Valuable Than Your Website for AI Visibility — Third-party content strategy for GEO
- OpenAI Scored 71/100 on AI Visibility — The Irony No One is Talking About — Case study on GEO scoring
- The GEO Playbook for Chinese Brands — AI visibility strategies for brands expanding globally
- Why ChatGPT Doesn't Recommend Your Brand — Practical diagnosis guide (Chinese)
- How to Measure GEO Before and After — Tracking methodology
- BrightEdge: Generative AI and the Future of Search — Enterprise perspective on AI search
- SparkToro: Zero-Click Searches — The rise of AI-answered queries
Content that AI models are more likely to cite:
- Statistics and data — Quantified claims with sources
- Expert quotations — Named experts with credentials
- Comparative content — "A vs B" format with clear analysis
- Structured Q&A — FAQ format matching natural language queries
- Third-party validation — Reviews, mentions on high-authority platforms
- Reddit — Highest citation rate for English-language queries
- Quora / Zhihu — Q&A format preferred by LLMs
- Wikipedia / Wikis — Foundational reference layer
- Medium / Substack — Long-form analysis pieces
- LinkedIn — Professional/B2B context queries
- Industry publications — Vertical authority signals
A complete GEO measurement should include:
- Discovery Rate — % of relevant queries where brand is mentioned
- Recommendation Rate — % of queries where brand is actively recommended
- Average Rank — Position when mentioned (1st cite vs 5th)
- Sentiment — Positive/neutral/negative framing
- Blind Spots — Query categories with zero coverage
| Platform | Market | Notes |
|---|---|---|
| ChatGPT (GPT-4o) | Global | Largest user base; English-dominant |
| Claude | Global | Strong for nuanced brand descriptions |
| Google Gemini | Global | Integrates with Google Search data |
| Perplexity | Global | Citation-heavy; great for research queries |
| Kimi | China | Best Chinese-language AI; Moonshot AI |
| DeepSeek | China | Rapidly growing Chinese LLM |
| Meta AI | Global | Social context; emerging |
- r/SEO — SEO community with growing GEO discussion
- r/ChatGPT — AI user community
- Twitter/X #GEO — Follow the conversation
Contributions welcome! Please read the contribution guidelines first.
To add a resource:
- Fork this repo
- Add your resource in the appropriate section
- Submit a PR with a brief description of why the resource is valuable
Criteria for inclusion:
- Genuinely useful for GEO practitioners
- Not purely promotional
- Accessible (free or with free tier preferred)
CC0 1.0 — Public Domain. No rights reserved.
Maintained by the Anchor team. Last updated: April 2026.