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Where to Find Customer Questions for GEO?
GEO Q&A Hub

Where to Find Customer Questions for GEO?

As generative AI increasingly participates in users' information retrieval, product comparisons, and purchasing decisions, the sources of GEO content questions also need to shift from traditional keywords to real customer needs. GEO question terms should

Yiko Lam 2026-09-07
2
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How Can Brands Help AI Understand Their Expertise?
GEO Q&A Hub

How Can Brands Help AI Understand Their Expertise?

As generative AI increasingly participates in B2B buyers' information retrieval, product comparison, and purchasing decisions, whether a company's professional expertise can be accurately recognized by AI is no longer just a matter of having a complete br

Yiko Lam 2026-08-31
12
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What Should Cross-Border E-Commerce Optimize for GEO?
GEO Q&A Hub

What Should Cross-Border E-Commerce Optimize for GEO?

As generative AI search becomes a new way for users to obtain product information, cross-border e-commerce is no longer just competing for traditional search rankings—the question is whether brands can be understood by AI and included in its recommendatio

Yiko Lam 2026-08-24
22
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Does GEO measure traffic or brand visibility?
GEO Q&A Hub

Does GEO measure traffic or brand visibility?

As generative AI search gradually becomes part of how users access information, compare brands, and make purchasing decisions, measuring GEO performance with traditional SEO traffic metrics alone is no longer sufficient. The core question is whether GEO s

Yiko Lam 2026-08-17
24
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Why Do GEO Quotes Vary So Much?
GEO Q&A Hub

Why Do GEO Quotes Vary So Much?

As generative AI search increasingly becomes part of enterprise customer acquisition and brand information distribution, GEO services have expanded from one-time brand visibility checks to multi-platform monitoring, competitor comparison, scenario analysi

Yiko Lam 2026-08-10
48
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Why Do AI Answers Differ Each Time?
GEO Q&A Hub

Why Do AI Answers Differ Each Time?

Generative AI search is changing how people access information. AI responses are no longer static results; they are influenced by multiple factors such as data sources, model updates, user query phrasing, and generation logic. As a result, the same questi

Yiko Lam 2026-07-27
33
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How to Tell If GEO Is Working?
GEO Q&A Hub

How to Tell If GEO Is Working?

Generative AI answer mechanisms are changing how brand effectiveness is evaluated. GEO is no longer suitable for judging results using only traditional rankings or single screenshots. Instead, it requires observing changes in brand visibility across diffe

Yiko Lam 2026-07-13
77
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Are AI Search Results Really Trustworthy?
GEO Q&A Hub

Are AI Search Results Really Trustworthy?

Generative AI search is transforming how people access information, shifting search results from fixed indexes to probabilistic generation based on corpora and web content. This means the same question can yield different answers across different AI platf

Yiko Lam 2026-07-06
75
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What to Do When AI Mentions Competitors but Not Us
GEO Q&A Hub

What to Do When AI Mentions Competitors but Not Us

When AI responses mention competitors but not your brand, it's usually not a simple ranking issue. It's the combined result of brand semantics, content coverage, external signals, and how well your brand matches the query context. Using GEO Audit reports,

Yiko Lam 2026-07-01
78
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Lab Core Researcher

Meet Our GEO Engineers

20 years deep in search optimization, witnessing three major shifts in core search engine algorithms

Rachel Dai

AIPOGEO Digital

Senior SEO/GEO Engineer

20 Years of Search Optimization, From PageRank to GEO

With 20 years deep in search optimization, Rachel has lived through three major shifts in core search engine algorithms — from the PageRank era to the BERT era, and now the era of generative AI engines. She began her SEO career in 2005, Previously employed at You Find Limited. for over 18 years, joined AIPOGEO in 2024, and now focuses on dual-engine GEO + SEO delivery for cross-border e-commerce and B2B services.

She excels at translating complex algorithmic mechanics into executable optimization plans. Over the past 20 years she has run 500+ projects spanning Shopify cross-border e-commerce, SaaS tools, B2B services and more. The "Australian outdoor brand: 4x growth in 6 months" case study reviewed in this article was led entirely by her. Rachel is also a core researcher at the AIPOGEO GEO Optimization Lab, continuously tracking how the six major AI engines change their citation mechanisms.

20+
Years in search optimization
3
Algorithm shifts witnessed
6
Major AI engines tracked
Shopify Cross-border E-commerce SaaS Tools B2B Services GEO Citation Optimization SEO Growth Reviews

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