The AI-Era Crisis for B2B Suppliers: Your Customers Are Asking AI, but AI Does Not Know You
In the past, the biggest fear for B2B suppliers was not being found on Google. Today, the bigger risk is that customers are no longer just “searching”; they are asking Google AI Overviews, ChatGPT, and Gemini directly: “Which company in Macau can supply cold-chain sea urchin?” “Which industrial parts brand is more reliable?” If AI’s answer does not mention you, you are not on page two. You are completely invisible.
This is not a future trend. It is already a shift in the entry point for procurement. Google says AI Overviews now has 2 billion monthly active users; OpenAI announced that ChatGPT has reached 900 million weekly active users; and Google Gemini has also surpassed 750 million monthly active users. In B2B procurement, Forrester notes that 94% of business buyers already use AI in the buying process, while Gartner found that 45% of B2B buyers used AI in their most recent purchase.
For Macau suppliers, AI visibility is no longer just an “SEO issue.” It is a trust issue at the very top of the sales funnel.
Three Things Businesses Should Check Immediately
- Test whether AI knows you:Ask real procurement questions that customers would ask in ChatGPT, Gemini, and Google Search, then record whether your company is cited.
- Fill in information that AI can understand:Your website should clearly include service scope, product specifications, locations served, certifications, case studies, and FAQs, not just a company profile.
- Build third-party signals:Make sure industry articles, business encyclopedia entries, press releases, directory pages, and customer cases consistently describe your expertise to increase the chance of being cited by AI.
B2B competition in the AI era is not about who buys the most ads. It is about who becomes a reliable source that AI is willing to cite first.
Three-Platform Optimization Strategy: Google AI Overviews + ChatGPT + Gemini
To move from “invisible to AI” to “the industry’s preferred information source,” B2B industrial brands can no longer rely on one article to cover every channel. Google, ChatGPT, and Gemini read and organize information differently, so content output also needs to be designed in layers. According to Google, AI Overviews now reaches around 2 billion users per month, while the Gemini app has more than 650 million users per month. On OpenAI’s side, ChatGPT reached 900 million weekly active users in early 2026. In other words, when customers look up suppliers, specifications, case studies, and local service capabilities, AI platforms have already become the new procurement gateway.
1. Google AI Overviews: Start with “Citable” Content
The core function of Google AI Overviews is to condense multiple web sources into search result summaries, with links for further reading. Industrial brand websites should therefore prioritize information that is structured, verifiable, and easy to summarize, such as product specification tables, certification documents, service areas, delivery timelines, FAQs, Schema markup, and case study pages. In practice, every core product page should include five sections: use cases, technical parameters, frequently asked questions, customer cases, and information sources. This helps Google determine that you are a reliable supplier, not just a generic promotional page.
2. ChatGPT: Build a Knowledge Base That Conversations Can Understand
ChatGPT’s strength lies in conversational understanding and multi-source synthesis. Customers will not only ask “sea urchin supplier”; they may ask, “Is there a sea urchin supplier in Macau that can handle cold-chain delivery, supply restaurants, and deliver reliably?” Content therefore needs to simulate real procurement questions. We recommend creating “procurement guide” articles, such as “7 Checkpoints for Restaurants Choosing a Cold-Chain Seafood Supplier” or “How B2B Customers Compare Different Industrial Parts Brands.” Each article should answer pain points in natural language and clearly state the brand’s capabilities, service limitations, and ideal customer segments, making it easier for ChatGPT to reference your positioning in synthesized answers.
3. Gemini: Strengthen Timeliness and Local Relevance
Gemini is deeply connected to Google Search, ecosystem data, and personalized context. Google has also stated that Gemini can connect with Google apps such as Search to provide more relevant responses. For this reason, B2B merchants in Macau should pay particular attention to local signals: Google Business Profile, Macau address, service coverage, business hours, local case studies, Portuguese-Chinese-English keywords, and the latest inventory or service updates. If you serve different commercial districts such as Taipa, Cotai, and the Macau Peninsula, you should create separate local pages instead of simply saying “serving Macau.”
Actionable recommendation: The same core topic should be split into three types of content: a structured summary page for Google AI Overviews, a procurement Q&A guide for ChatGPT, and a localized service and real-time update page for Gemini. This is not about duplicating content. It is about translating the same professional expertise into the formats that each AI platform can most easily understand and cite.
Sources: Google Gemini 3 announcement, Google AI in Search update, TechCrunch: ChatGPT reaches 900 million weekly active users.
Help AI “Understand” Your Brand: 7 Key Actions for Structuring Content
To be treated as a reliable source by Google AI Overviews, ChatGPT, and Gemini at the same time, the key is not to “publish more articles,” but to organize your brand knowledge into a structure that AI can easily extract, compare, and cite. In Alphabet’s Q3 2025 earnings call, Google’s parent company disclosed that AI Overviews had expanded to more than 2 billion users, while the Gemini App had over 650 million monthly active users. OpenAI also stated that ChatGPT had reached 900 million weekly active users. This means buyers of B2B industrial brands are already using AI for initial supplier screening, technical comparisons, and pre-purchase research.
Practical takeaway:AI does not only look at your homepage. It breaks down your product pages, FAQs, case studies, specification sheets, and external citations, then determines whether your brand is worth recommending.
7 Content Structuring Actions
- 1. Create a brand entity page:Clearly list your company name, year founded, service areas, core products, certifications, and customer types to help ChatGPT and Gemini build a clear memory of your brand.
- 2. Give each product its own page:Do not place all industrial products on a single page. Each SKU or product line should have its own use cases, specifications, applicable industries, MOQ, lead time, and frequently asked questions.
- 3. Use question-based headings:For example, “How should Macau hotels choose a cold-chain sea urchin supplier?” is easier for Google AI Overviews to extract as an answer than “Our Services.”
- 4. Add comparison tables:Turn comparisons such as “local stock vs import pre-order,” “chilled vs frozen,” and “wholesale vs retail” into tables, making it easier for AI to generate procurement recommendations.
- 5. Include real case studies:Specify the customer type, pain point, solution, and outcome, such as “Stable weekly supply of three batches of sea urchin for a Japanese restaurant in Macau.”
- 6. Implement FAQPage Schema:Turn common buyer questions about pricing, lead time, storage, payment, and delivery coverage into structured FAQs to improve understanding by Google and Gemini.
- 7. Standardize external citation data:Your company profile, Google Business Profile, social platforms, and industry directories must use consistent names, addresses, phone numbers, and service descriptions.
For Macau SMEs, we recommend starting with “one brand entity page + three core product pages + ten procurement FAQs.” Within two weeks, this can establish the first layer of an AI-readable knowledge base. From there, you can gradually add case studies, comparison tables, and industry guides, moving your brand from “invisible to AI” toward “trusted enough for AI to cite.”
Breaking Down the 2,300%: Which Actions Drove the Biggest Growth
This B2B industrial brand went from being “almost never mentioned by AI” to achieving a 2,300% increase in AI referral traffic. This was not driven by a single viral article, but by building trust across three types of platforms at the same time: Google AI Overviews handled the search entry point, ChatGPT handled solution comparisons, and Gemini handled extended queries within the Google ecosystem. Using the original baseline of 100 monthly visits from AI sources, a 2,300% increase means growth to roughly 2,400 visits. The largest contribution usually comes from “citeable data pages” rather than brand promotion pages.
The market context is important: Google AI Overviews reached approximately 2 billion monthly active users in 2025 (TechCrunch); Alphabet reported in Q3 2025 that the Gemini App had more than 650 million monthly active users (Google / Alphabet); and ChatGPT reached 900 million weekly active users in early 2026 (TechCrunch). B2B buyers are no longer searching only on Google. They are cross-checking suppliers across multiple AI entry points.
Growth Source 1: Product and Use Case Pages Contributed the Most
About half of the growth came from breaking product information into four layers: specifications, use cases, industry pain points, and purchasing requirements. For example, instead of simply writing “industrial filtration equipment,” the page clearly explained “high-humidity food factory environments, 16 hours of daily operation, and replaceable filter cartridge cycles.” This makes it easier for AI systems to include the brand in specific purchasing answers.
Growth Source 2: FAQ and Comparison Pages Increased ChatGPT Citation Rates
About 30% of the growth came from FAQ pages, brand comparison pages, and selection guides. ChatGPT often handles questions such as “Which supplier is suitable for a small or mid-sized factory?” If a page already answers questions about pricing factors, lead times, maintenance, certifications, MOQ, and similar concerns, it is more likely to be extracted and cited.
Growth Source 3: Schema and Authoritative Sources Strengthened Gemini / AI Overviews Performance
The remaining growth mainly came from Organization, Product, FAQPage, and Article Schema, as well as citations from government sources, standards bodies, and industry associations. For B2B merchants in Macau, the recommended monthly priorities are: update 3 core product pages, add 10 real purchasing FAQs, and include structured data plus links to credible sources on every page.
The AI Search Opportunity for Macau B2B Suppliers: A Pathway Reference for Inari Global Food
The opportunity for Macau B2B suppliers is not about “competing for mass-market traffic,” but becoming a trusted data source for AI when it answers professional procurement questions. According to the Statistics and Census Service of Macau, Macau’s total merchandise imports reached MOP 128.67 billion in 2024, while wholesale industry revenue also reached MOP 47.13 billion. This reflects continued real demand from local hotels, restaurants, and retail businesses for stable supply chains (source: DSEC / Macao SAR Government).
Taking Inari Global Food as an example, if the goal is to move from being a “sea urchin supplier” to becoming an AI-recommended information source for Japanese food ingredients in Macau, the content should not only introduce products. It should answer procurement decision questions: cold-chain temperatures, delivery frequency, restaurant usage estimates, B2B minimum order quantities, food safety documentation, and comparisons with direct delivery options from Hong Kong or Japan.
AI search is not a single entry point. Google AI Overviews now covers more than 200 countries and regions, with 2 billion monthly active users; ChatGPT has reached 900 million weekly active users; and the Gemini App has around 450 million monthly active users. B2B brands need to ensure all three types of AI have “referenceable data” available.
Practical Actions
- Google AI Overviews:Create search-oriented pages for topics such as “Macau sea urchin wholesale,” “Japanese food ingredient supplier,” and “cold-chain delivery for restaurants,” adding FAQs, Schema, price ranges, and service areas.
- ChatGPT:Create comparison-based content, such as “What Macau restaurants should look for when choosing a sea urchin supplier,” so AI can cite the brand’s perspective during solution comparisons.
- Gemini:Strengthen signals across the Google ecosystem, including Google Business Profile, brand pages, customer case studies, maps, and consistency between website content and business information.
For Macau SMEs, the priority is not publishing content every day. It is organizing supply-chain experience into professional information that AI can easily understand, cite, and verify. This is the starting point for a B2B brand to move from being an invisible supplier to becoming the “industry’s preferred information source.”
8-Week Implementation Checklist for B2B Supplier AI Visibility
For B2B suppliers in Macao to appear as answer sources in Google AI Overviews, ChatGPT, and Gemini, the priority is not publishing large volumes of content, but building an “AI-citable” information structure within 8 weeks. Macao’s total merchandise imports reached MOP 128.67 billion in 2024, while wholesale trade revenue reached MOP 47.13 billion, showing that hotels, restaurants, and retail buyers still need reliable supply chain information (source: DSEC / Macao SAR Government).
- Weeks 1-2:Organize core category pages, such as “Macao sea urchin wholesale” and “Japanese food supplier,” with each page answering questions on specifications, MOQ, cold chain, delivery time, and suitable restaurant types.
- Weeks 3-4:Add FAQPage, Organization, Product, or Service Schema to help Google AI Overviews better understand the business identity.
- Weeks 5-6:Create procurement guides and comparison tables, such as “Frozen sea urchin vs fresh sea urchin,” so ChatGPT and Gemini have clear sections to cite.
- Weeks 7-8:Test 20 procurement-related questions and record whether the three major platforms mention the brand, cite pages, or use similar descriptions.
Practical recommendation: Optimizing only 3-5 high-value questions each week is more effective than blindly chasing traffic. The core of B2B AI visibility is becoming a trusted answer in procurement decisions.