What is AIGEO (GEO) ?

AIGEO (AI Generative Engine Optimization, or GEO) refers to an optimization strategy specifically designed for generative AI platforms such as Deepseek, Tencent Yuanbao, Doubao, and Baidu Wenxin Yiyan. Its goal is to help a brand’s or company’s content become a referenced data source when users ask questions to AI systems. This enhances brand exposure and credibility while improving sales conversion rates.

At its core, GEO aims to make AI act as a “brand ambassador” by embedding a company’s structured information (such as official reports, professional data, and authoritative analyses) into AI-generated answers through optimization techniques. This allows users to directly see brand-backed responses rather than relying solely on traditional SEO rankings or paid advertising.

 

How is GEO different from SEO?

SEO (Search Engine Optimization) focuses on improving a website’s ranking in traditional search engines like Google and Baidu. GEO (Generative Engine Optimization) focuses on making brands and information more easily referenced and recommended by generative AI systems like ChatGPT, Baidu Wenxin Yiyan, DeepSeek, and Kimi. Its objective is to position a brand as the “standard answer” within AI-generated responses, summaries, and recommendations.

While SEO continues to generate long-term website traffic, GEO has become the new entry point in the AI era. Gaining priority in AI-generated results will be central to brand competition. Businesses should adopt a dual strategy combining SEO and GEO to maximize cross-channel traffic and strengthen brand trust.

Why do brands need AIGEO?

More consumers and companies now use AI tools likeDeepSeekinstead of traditional search engines (Google, Bing, etc.) to seek information. In Hong Kong, consumers increasingly rely on AI-powered personalized recommendation systems, which analyze browsing behavior, purchasing history, and social interactions to deliver customized product suggestions. Online shopping platforms and fintech apps already use such AI systems to push products and services that best fit individual preferences, enhancing buying efficiency and satisfaction.

Consumers also use AI to access in-depth product reviews, user feedback, and market analysis, improving decision transparency and reducing risk. Therefore, being cited as a “recommended data source” in AI-generated answers has become the new battlefield for brand visibility. Early adopters of GEO can seize AI-driven demand growth, improving both sales conversion and consumer trust.

GEO is not merely a cost-saving or efficiency tool but a core strategy to differentiate brands and stand out in the AI era.

AI search and decision-making trends in Hong Kong

  • Around 45% of Hong Kong users prefer asking ChatGPT or Perplexity directly instead of using Google Search.
  • The most popular AI search platforms in Hong Kong (Ahref, April 2025):
    1. ChatGPT 709K monthly visits
    2. DeepSeek 597K monthly visits
    3. POE 345K monthly visits
  • The trend is even stronger among younger generations—61% of Gen Z and 53% of Millennials prefer using AI tools over Google for information searches.

Benefits of implementing AIGEO

1. AI citations as the new exposure battleground
With over 63% of users asking AI for information, GEO strategies can significantly boost brand visibility and authority in AI-generated responses, counteracting declining SEO traffic.

2. Increased brand trust and professional image
High-quality, authoritative content is more likely to be recognized by AI as credible. GEO emphasizes structured and context-adaptive content that allows direct citation in AI answers, enhancing a brand’s credibility.

3. Large-scale personalized marketing
GEO enables precise one-to-one recommendations between brands and consumers, improving engagement, conversion rates, and loyalty.

4. Consistent brand identity
AI learns a brand’s tone and visual identity, ensuring all AI-generated outputs remain consistent and recognizable across platforms.

5. Smarter decision-making
AI can analyze market and consumer data to support informed decisions, reducing guesswork risk.

6. Higher conversion rates and ROI
By optimizing for AI search contexts, brands can achieve multiple-fold ROI improvements as AI recommends personalized content directly aligned with user intent.

Which industries need GEO?

Industries that rely on local traffic, need high regional visibility in AI searches, ordepend on information credibility and AI-driven discovery should prioritize GEO:

(1) Professional and compliance-based sectors
Healthcare, pharmaceuticals, specialty hospitals, financial advisory, and legal services require AI to deliver accurate, authoritative information to prevent misinformation.

(2) Knowledge-intensive and competitive sectors
Education, academic institutions, technology, electronics (3C), smart devices, automotive, and real estate often see users consulting AI for technical comparisons and reviews.

(3) Lifestyle and consumer industries
Travel, hotels, beauty, fashion, retail, and e-commerce—where purchase decisions are increasingly made based on AI and social recommendations.

How should Hong Kong businesses apply GEO?

Hong Kong businesses should focus on enhancing the visibility and authority of brand content in AI-generated search and recommendation contexts. By integrating AIGEO into digital transformation efforts, companies can improve automation and intelligent decision-making.

Beyond local markets, Hong Kong enterprises should expand cross-border strategies within the Greater Bay Area by optimizing structured data (FAQs, comparison tables, use cases) for better AI citation frequency and inbound traffic from Mainland China.

How SDMC supports AIGEO implementation

SDMC helps businesses execute GEO strategies through a comprehensive approach covering content structure, authority verification, structured data tagging, and digital marketing. By adapting to market needs (e.g., Greater Bay Area, ESG-related content), companies can stay competitive in the era of AI-driven discovery.

 

Content optimization strategies

  • Continuously expand and refine website content and technical structures
  • Structure content and data based on E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)
  • Create high-quality, authoritative materials

 

Expected outcomes

  • Transition from “never cited by AI” to “referenced or recommended by AI”
  • Increase citation and recommendation frequency
  • Improve ranking in AI responses
  • Enhance visibility, authority, and customer trust
  • Boost sales opportunities

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