什麼是 GEO？生成式引擎優化完整指南

The rise of AI search

The way people search for information is fundamentally changing. Where users once typed keywords into Google and scanned blue links, many now ask natural-language questions in ChatGPT or Perplexity, or read a Google AI Overview — and expect a direct, synthesised answer.

For brands, this shift creates a new challenge: being cited in those AI-generated answers. That's what Generative Engine Optimisation (GEO) is all about.

What is GEO?

GEO is the practice of optimising your brand's online presence so that AI language models cite, reference, and recommend it in their responses. It borrows many principles from traditional SEO — quality content, technical health, authoritative backlinks — but adds new layers specific to how large language models (LLMs) are trained and how AI search engines retrieve information.

How AI platforms decide what to cite

AI search experiences such as Perplexity and Google AI Overview retrieve web information and synthesise it into an answer. The pages they use are influenced by:

1. **Relevance** — does the page answer the query?

2. **Authority** — is the page from a trusted, well-linked source?

3. **Structure** — is the information easy for the AI to parse? (Schema markup, clear headings, FAQs)

4. **Recency** — is the content up to date?

5. **Entity clarity** — does the page clearly establish what your brand is, does, and where it operates?

ChatGPT's knowledge comes from training data (with a cutoff date), but its browsing plugin and future versions increasingly rely on live web retrieval.

GEO vs SEO: Key differences

| | Traditional SEO | GEO |

|---|---|---|

| Goal | Rank in search results | Be cited in AI answers | | Success metric | Click-through rate | Citation rate | | Content format | Keyword-optimised pages | Entity-rich, FAQ-structured content | | Tools | Rankings trackers | AI visibility monitors (like BeeIndex) |

How to get started with GEO

**1. Audit your current AI visibility.** Use BeeIndex to track ChatGPT, Google AI Overview, Perplexity, DeepSeek, and Kimi. Understand where your brand currently appears — and where it doesn't.

**2. Optimise your homepage for entity clarity.** Make sure AI models can clearly understand who you are: company name, location, services, and differentiators — all in plain, structured language.

**3. Add FAQ schema markup.** FAQ-structured content is one of the most effective ways to get cited in AI answers. Mark up your FAQ pages with JSON-LD structured data.

**4. Publish authoritative, comprehensive content.** Long-form guides that thoroughly answer questions in your industry are more likely to be pulled into AI responses.

**5. Build citations.** Mentions of your brand on authoritative industry sites, news outlets, and directories strengthen your entity signals in AI training data.

**6. Track and iterate.** Run monthly BeeIndex scans to measure your citation rate across platforms and see which keywords you're winning — and which need more work.

The Chinese market opportunity

For brands in Hong Kong and Taiwan, there's a major GEO opportunity that most competitors are missing: AI visibility in Traditional Chinese. Platforms like DeepSeek and Kimi are growing rapidly in the region, and very few brands have optimised their presence for Chinese-language AI queries.

BeeIndex supports Traditional Chinese AI visibility research across five major platforms.