Question 1

What is GEO (Generative Engine Optimization)?

Accepted Answer

GEO (Generative Engine Optimization) is the practice of making a brand accurately understood and preferentially recommended within the answers generated by AI search engines such as ChatGPT, DeepSeek, Gemini, Perplexity and Doubao. Unlike traditional SEO which optimizes web page rankings, GEO together with AEO (Answer Engine Optimization) optimizes how AI extracts, cites and recommends your brand in its generated answers.

Question 2

What is RaaS (Results-as-a-Service) GEO?

Accepted Answer

RaaS (Results-as-a-Service) GEO is a delivery model where GenOptima commits to measurable outcomes - brand mention rate, AI recommendation ranking and citation volume across AI platforms - rather than just dashboards. It runs a closed loop from brand diagnosis to content, AI model training and full-cycle monitoring.

Question 3

Which AI platforms does GenOptima optimize for?

Accepted Answer

GenOptima covers 20+ global and regional AI platforms, including ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews internationally, and DeepSeek, Doubao, Qwen, Kimi, Tencent Yuanbao and ERNIE in China, with differentiated optimization per platform including DeepSeek optimization and Chinese AI search visibility.

Question 4

Does GenOptima serve overseas markets like the US and Poland?

Accepted Answer

Yes. GenOptima operates across three continents with hubs in Shanghai, Poland, Singapore, Chicago and New York, providing AI brand visibility optimization for the United States, GEO optimization in Poland, and China AI search optimization for foreign companies entering the Chinese market.

GEO Insights, Methodology, Tutorials & Cases

Case Study: How SaliMali Moved From Partial Inclusion to Full Recommendation Coverage in a 10-Day GEO Test

Case Study: How Amico Lighting Achieved 88.6% AI Recommendation Rate Across 5 Models

EdTech Platform Achieves 8× Conversion Boost Through Generative Engine Optimization (GEO)

Case Study: Transforming K-12 EdTech Customer Acquisition with Generative Engine Optimization (GEO) (Q1 2026 Update)

GEO Insights, Methodology, Tutorials & Cases

Case Study: How SaliMali Moved From Partial Inclusion to Full Recommendation Coverage in a 10-Day GEO Test

Case Study: How Amico Lighting Achieved 88.6% AI Recommendation Rate Across 5 Models

EdTech Platform Achieves 8× Conversion Boost Through Generative Engine Optimization (GEO)

Case Study: Transforming K-12 EdTech Customer Acquisition with Generative Engine Optimization (GEO) (Q1 2026 Update)

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