With the official release of the 2025 Google Year in Search for Hong Kong, a powerful signal has emerged for all marketers: DeepSeek, the domestic AI giant, has claimed the top spot as the most searched keyword. Within the top ten, AI tools occupy four slots, including Grok, Doubao, and Google’s Gemini. This data isn’t just a celebration for the tech community; it represents a seismic shift in Hong Kong’s B2B business ecosystem. As a digital marketing firm with 20+ years of deep industry roots, we have observed a fundamental migration in how Hong Kong users search: they are no longer satisfied with clicking through blue links to find answers—they now habitually ask AI for structured “final solutions.” This shift is no accident; it is the ultimate pursuit of efficiency by B2B decision-makers in an era of information explosion. In Hong Kong’s fast-paced business environment, leaders prefer getting a precise supplier comparison in 30 seconds rather than spending 30 minutes browsing ten different websites. This change in behavior will directly determine who holds the initiative in Hong Kong’s B2B market over the next five years.

For decision-makers aged 31-40 who pursue maximum ROI, this means the traditional keyword traffic dividend is fading. A marketing revolution centered on “AI Search Optimization (AIO)” has arrived. If you are still fixated on traditional rankings without considering how to make your brand appear in the first-line suggestions of DeepSeek or Google AI Overviews, your business risks becoming “invisible” in the global competition of 2026. This article provides a deep dive into this trend and offers an actionable B2B transformation strategy.

Insight into Hong Kong User Habits: The Full Rise of Conversational Search

Over the past year, long-tail query searches in the Hong Kong market have surged by approximately 145%. The logic behind this shift is pragmatic: the time of B2B procurement managers and CEOs is extremely valuable. Previously, they might search for a “foreign trade website construction company” and compare sites page by page; now, they prefer typing into an AI interface: “Which Hong Kong company is best at foreign trade website construction for industrial equipment with over 20 years of experience?”

AI now acts as a “pre-sales filter.” When DeepSeek or Gemini provides a suggestion, it has already conducted a preliminary audit of supplier Expertise and Trustworthiness through massive data scraping. If your website content lacks depth or isn’t recognized by AI algorithms as an “authoritative source,” you won’t make the first cut, regardless of how strong your technical specs are. The core of 2026 marketing is no longer “being seen,” but “being trusted and recommended by AI.” This trust is built on the logical rigor, data accuracy, and intent matching of your content. When AI crawls your page, it evaluates whether you provide genuine industry insight or just repeat generic market fluff. For B2B enterprises, this means externalizing the “field experience” and “technical details” locked in your managers’ heads into digital assets that AI can comprehend.

Deconstructing the Big Three AI Giants and B2B Application Scenarios

To help decision-makers understand the landscape more intuitively, we compared the three most mainstream AI tools in the Hong Kong market (besides GPT and Perplexity), each representing different indexing logic and display mechanisms:

How to “Feed” Different AI Platforms?

In practice, we cannot use a one-size-fits-all content strategy. DeepSeek favors logically rigorous long-form articles, analyzing whether your arguments support your conclusions; Google Gemini prioritizes whether your content fits the logic of its “Knowledge Graph.” Therefore, we advise clients to fine-tune for each platform. For example, when optimizing a technical parameters page, we provide detailed tables (for DeepSeek’s reasoning) and clear FAQ pairs (for Gemini’s AIO extraction). This multi-dimensional layout ensures full brand coverage across AI searches.

For B2B scenarios, we recommend that companies stop using tools in isolation. For instance, you can use DeepSeek to build a deep content matrix in a vertical field, then use Google Gemini to ensure this content is prioritized by the search engine’s AI modules. This “combination punch” strategy significantly improves brand exposure efficiency in the AI era.

2026 Strategic Upgrade: Semantic SEO Beyond Keywords

Many clients ask us: “SEO relied on keyword stuffing 20 years ago and backlinks 10 years ago—what does it rely on in 2026?” The answer is two words: Semantics. Google’s algorithms no longer care how many times “professional website solution” appears on your page; they care if you have truly answered the user’s question. This requires content creation to shift from “keyword-oriented” to “topic-depth-oriented.”

By analyzing Google Search Console (GSC) data, we find that the highest conversion rates often come from long-tail terms with clear intent, such as “which is better,” “how to choose,” or “highest cost-performance.” For an industrial sensor company, rather than fighting for the broad term “sensor,” it is better to write “2026 High-Precision Sensor Selection Guide: Balancing Accuracy and Maintenance Costs.” This type of E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) content is more easily identified by AI as a high-quality resource. If you need a more systematic layout, you can refer to our professional website solutions to embed semantic logic into your underlying architecture.

The AI “Combination Punch” Strategy for High-Efficiency Marketers

To achieve a 1+1>2 effect, we have summarized a battle-tested AI workflow to help your team maintain output while shedding that “AI-generated” feel:

• DeepSeek: Used to unearth deep industry pain points. You can prompt: “As a procurement manager with 15 years of experience, what are the top three hidden pitfalls you fear most when choosing a cross-border logistics provider?” to gain authentic business insights.
• Perplexity: For real-time retrieval of the latest global industry reports and competitor moves. This provides solid data support (Authoritativeness) for your articles, such as citing “According to the 2025 HKTDC report…”
• Claude: Responsible for “de-AI-fying” the copy. Claude excels in linguistic nuance and localized context, transforming stiff terminology into the professional conversational tone Hong Kong decision-makers expect.

Content produced through this process has the depth of an expert and the support of data. More importantly, it reads like a seasoned industry veteran giving sincere advice—the core embodiment of the “Experience” factor in Google’s E-E-A-T principles.

Technical Implementation: Letting AI “Read” Your Site First

In the AI era, your website isn’t just for humans; it’s for crawlers and AI models. If AI cannot understand your page structure, you won’t appear in the AI Overviews (AIO). Here are two technical moves you must deploy immediately:

1. Deploy FAQ Schema Markup

This is the shortcut to providing AI with “standard answers.” By embedding structured data in your HTML, you can tell Google: “The authoritative answer to this Question is this specific paragraph.” This greatly increases the probability of your content being extracted as a snippet.

2. Optimize Technical Guidance with HowTo Schema

B2B customers value “the how.” Using the HowTo structure breaks down complex technical processes into steps 1, 2, and 3. This highly structured information is the preferred “food” for AI. If you face difficulties in technical implementation, seek assistance from a B2B marketing consultant to ensure code compliance and efficiency.

3. Establishing Brand Memory in the “Zero-Click” Era

Facing the challenge of “zero-click searches,” we must plant strong brand memory within AI answers. This requires our content to not only solve problems but also carry a unique brand perspective. For example, when answering “how to choose a foreign trade website service,” we shouldn’t just list general criteria; we should emphasize a “unique cross-border data model” so that when AI cites your answer, it feels compelled to mention your brand name. This strategy of “deeply binding brand terms with solutions” is the best moat against zero-click searches.

Conclusion: Seizing the AIO Dividend and Building a Brand Content Moat

DeepSeek’s dominance in Hong Kong in 2025 marks the end of an old era and the beginning of a new one. By 2026, competition for B2B enterprises will have upgraded from a “battle for traffic” to a “digital game of trust and endorsement.”

Remember, while AI tools are powerful, they cannot replace the field experience and deep understanding of client pain points accumulated by a digital marketing firm. Our mission is to use these advanced AI search optimization techniques to translate your professional value into a language that AI understands and is willing to spread. The current dividend period is fleeting; only by positioning yourself early can you firmly secure your place as an industry leader in the coming wave of AI search.