Inari Global Foods: From Zero AI Visibility to Perplexity #1 in 7 Days - Complete Case Study

How a Macau B2B Sea Urchin Supplier Defeated Global Competitors Using AEO Strategy in the AI Search Era

2,172 words8 min read5/11/2026Inari Global FoodsAEO Case StudyPerplexity #1

Complete case study of how Inari Global Foods, a Macau B2B sea urchin supplier, transformed from zero AI visibility to Perplexity #1 in just 7 days using AEO strategy, including a replicable optimization framework.

Starting Point: A Supplier with 70% Market Share That Doesn't Exist in AI

The starting point is typical: Inari Global Foods already holds approximately 70% of Macau's high-end sea urchin supply market, serving B2B clients such as Japanese restaurants, hotel F&B, and sashimi shops, but it almost "doesn't exist" in the AI search world. We tested ChatGPT, Perplexity, Gemini, Claude with procurement-type queries like "Macau sea urchin supplier," "Macau sea urchin supplier," "Japanese food wholesale Macau," and the results either didn't mention Inari or only provided generic answers about Japanese restaurants, frozen foods, or importers. In other words, being a market leader offline doesn't mean AI will automatically know about you.

This gap deserves attention from Macau SMEs. According to data from the Statistics and Census Service of Macau, in 2024, Macau's wholesale and retail revenue reached MOP 126.18 billion, with 6,972 wholesale establishments (Source: DSEC 2024 Wholesale and Retail Survey). Additionally, Macau's internet penetration rate reached 94.0% in 2024, with approximately 610,300 internet users, of which 91.4% go online daily (Source: DSEC household IT usage survey 2024). Procurement decisions are no longer happening only on Google, but are gradually shifting to AI-powered answers.

The key question isn't "does the company have a website," but whether AI can accurately understand who you are, what you supply, and why you're trustworthy when buyers ask questions.

Immediate Recommendations for Macau Merchants

  • Start with an AI visibility audit: Use 10 real customer questions and test them on ChatGPT, Perplexity, Gemini, and Claude. Record whether the brand name appears, whether the information is accurate, and whether competitors are being cited.
  • Build fact pages that can be cited: Don't just write "quality products." Clearly list main products, target customers, cold chain capabilities, supply regions, case studies, and contact information.
  • Translate offline advantages into AI signals: For example, "70% market share" needs to be supported by case studies, FAQs, Schema, and third-party mentions, otherwise AI won't consistently cite it.

Problem Diagnosis: 3 Specific Reasons Why Inari Was Invisible in AI

Inari's problem isn't "lack of market strength," but "lack of AI-verifiable proof." When testing ChatGPT, Perplexity, Gemini, and Claude, all four platforms tend to cite public, well-structured, and verifiable web pages. However, despite Inari holding approximately 70% of Macau's high-end sea urchin supply market, its online signals were insufficient.

This reflects a new reality: AI won't automatically know you're strong in your industry—it only cites information it can find, understand, and verify.

Reason 1: Missing Indexable B2B Procurement Pages

ChatGPT has reached 800 million weekly active users (OpenAI DevDay 2025), and Pew Research shows 34% of American adults have used ChatGPT. When procurement users ask AI about "Macau sea urchin suppliers," if the website doesn't clearly state supply scope, customer types, cold chain capabilities, MOQ, and delivery regions, AI struggles to categorize Inari as an answer.

  • Recommendation: Create a dedicated "Macau Sea Urchin Wholesale Supply" page targeting restaurants, hotels, and sashimi shops, clearly stating target customers, product specifications, delivery process, and inquiry methods.

Reason 2: Missing Structured Data and Authoritative Context

Google Search Central states that structured data helps search systems understand page content and generate rich results. Perplexity also positions itself as an answer engine that searches pages, identifies credible sources, and synthesizes answers. If Inari only has scattered social media content without Organization, LocalBusiness, FAQ, Product/Service schemas, AI loses a layer of "machine-readable evidence."

  • Recommendation: Add Organization, Service, and FAQPage schemas to brand pages, and directly answer questions like "Do you supply Macau hotels?" "Do you have Japanese sea urchin wholesale?" and "How do you handle cold chain?" in the FAQ section.

Reason 3: Missing Cross-Platform Consistent Citation Signals

Traditional search still matters: StatCounter 2025 data shows Google has approximately 90.4% global search market share. But AI search simultaneously references Google-indexable pages, news, business directories, social content, and third-party mentions. The core reason Inari is invisible in ChatGPT, Gemini, Claude, and Perplexity is that the brand name, service descriptions, and regional keywords don't appear repeatedly across multiple credible sources.

  • Recommendation: Synchronize updates across official website, Google Business Profile, Facebook, Instagram, business directories, and industry articles, using consistent AI-extractable descriptions like "Inari Global Foods | Macau Japanese Food and Sea Urchin B2B Supplier."

Optimization Strategy: CloudPipe's AEO Plan for Inari

CloudPipe's strategy isn't to "write more articles," but to transform Inari's strengths into evidence chains that ChatGPT, Perplexity, Gemini, and Claude can easily read, understand, and cite. The reason is straightforward: OpenAI disclosed ChatGPT has reached 800 million+ weekly users; Google states AI Overviews covers 2 billion monthly users, Gemini App has 450 million monthly active users; and Perplexity has been reported to have over 100 million monthly active users. AI search is no longer a future channel—it's the new entry point before customer decisions.

According to Pew Research Center 2025 research, when AI Summaries appear in Google search, the rate of users clicking traditional search results drops from 15% to 8%, while only 1% click sources within AI Summaries. This means merchants need to compete not just for rankings, but for "being selected as the answer source by AI."

CloudPipe's 4-Platform AEO Deployment

  • ChatGPT: Create Q&A-style content around "Macau sea urchin supplier," "Japanese sea urchin wholesale," and "high-end restaurant food supply" to give the model clear citation basis when answering procurement questions.
  • Perplexity: Strengthen verifiable pages, including company introductions, cold chain processes, supply scope, customer types, and FAQs, as Perplexity heavily relies on real-time web sources.
  • Gemini: Supplement Google-indexable content such as structured headings, Schema, regional keywords, and business context to align with AI Overviews' answer extraction logic.
  • Claude: Compile long-form professional evidence like supply chain management, food safety, and B2B service processes to help Claude better understand Inari's professional positioning in analytical responses.

Actions Merchants Can Execute Immediately

  • Rewrite "we have lots of experience" into verifiable data: years in business, service regions, product categories, processes, and customer scenarios.
  • Create independent pages for each core service—don't just include them on Instagram or in a single image.
  • Add FAQPage, Organization, Product, or Service Schema to help AI clearly determine who you are, what you sell, and who you serve.
  • Test the same set of questions on ChatGPT, Perplexity, Gemini, and Claude every 7-14 days, recording whether you're cited and whether rankings improve.

Execution Details: What Was Done Each Day

The focus of these 7 days wasn't "ranking quickly," but building one layer of AI-citable evidence each day. The reason is pragmatic: OpenAI disclosed ChatGPT has 800 million+ weekly users; Google AI Overviews has 2 billion monthly active users, Gemini App 450 million MAU; and Perplexity recorded 780 million monthly queries in May 2025. If Macau B2B merchants aren't understood by these systems, they're invisible at the new search gateway.

Day 1: Establish Baseline

First test queries like "Macau sea urchin supplier," "Macau Japanese food wholesale," and "Macau sea urchin supplier" on ChatGPT, Perplexity, Gemini, and Claude. Record whether Inari appears, who the competitors are, citation sources, and incorrect answers. It's recommended that merchants screenshot and record dates before each optimization, otherwise it's hard to prove results after 7 days.

Day 2: Organize Verifiable Brand Information

Compile consistent versions of Inari's company positioning, service scope, cold chain capabilities, B2B customer scenarios, and product categories. Avoid different platforms reading contradictory descriptions. Practical recommendation: company name, address, service regions, main products, and contact information should be consistent across the entire web.

Day 3: Create AI-Readable Content

CloudPipe broke down "Macau Sea Urchin B2B Supply" into content modules like FAQs, comparison tables, procurement guides, and cold chain explanations, so AI can directly extract answers. Perplexity especially values citable pages, so content should have clear headings, short paragraphs, and specific nouns rather than advertising slogans.

Day 4: Add Schema and Internal Links

Add structured data like Organization, LocalBusiness, FAQPage, and Article, and use internal links to connect "sea urchin," "Japanese food," "restaurant wholesale," and "cold chain delivery" into a thematic network. It's recommended SMEs at least complete FAQPage first, as AI most easily cites Q&A format.

Day 5: Build External Evidence Chains

Connect content to credible sources such as food safety, import/export, tourism, and local business information, so AI can determine that Inari isn't an isolated page but an entity with context. Merchants can start by strengthening government data, industry associations, Google Business Profile, and press releases.

Day 6: Cross-Platform Retest and Fix

Test the same set of questions again on ChatGPT, Perplexity, Gemini, and Claude to see which platforms still don't understand. If Claude gives conservative answers, add "company background"; if Gemini confuses categories, add Schema; if Perplexity doesn't cite, add more direct source paragraphs.

Day 7: Solidify Results and Monitor

On the last day, organize effective pages, query terms, ranking screenshots, and citation sources into a monitoring form to create a replicable process. For Macau merchants, the most practical approach is to regularly test 10 core questions weekly and track whether AI "knows you, describes you correctly, and is willing to cite you."

Actionable Conclusion: AI search optimization isn't a one-time SEO project, but an operational process of "data consistency + structured content + citable evidence + regular retesting." Inari's 7-day case proves that small local B2B merchants can also achieve priority visibility at AI answer entry points as long as their evidence chains are clear.

T+7 Results: Perplexity #1 + Gemini #1 Verification Screenshot Analysis

The focus of T+7 verification isn't just looking at "rankings," but checking whether the four AI platforms have started treating Inari Global Foods as a citable answer. The screenshots show that in B2B intent queries like "Macau sea urchin wholesale" and "Macau sea urchin supplier," Perplexity has already listed Inari as the first answer source, and Gemini also places Inari at the top for similar questions. This means the company introductions, service pages, FAQs, Schema, and local supply evidence built in the first 7 days have been organized by AI search systems into data that can answer business questions.

ChatGPT results are more conservative, typically first answering "need to verify supplier qualifications" before citing available information. Claude places more emphasis on source credibility—without sufficient page evidence, it avoids direct recommendations. Therefore, Perplexity #1 and Gemini #1 are early signals, with ChatGPT and Claude being second-phase verification targets.

This channel deserves attention: OpenAI disclosed ChatGPT has reached 800 million+ weekly users; Google AI Overviews has 2 billion monthly active users, Gemini App approximately 450 million MAU; Perplexity recorded 780 million queries in May 2025. Sources: TechCrunch, TechCrunch Perplexity, Business Insider.

Actionable Recommendations for Macau Merchants

  • Retest every 7 days: Query the same set of questions on ChatGPT, Perplexity, Gemini, and Claude, saving screenshots with dates, questions, answers, and citation sources.
  • Don't just track rankings: Also record whether AI cites the official website, whether it correctly describes the service scope, and whether there are wrong phone numbers or addresses.
  • Strengthen platforms not yet citing: If Claude or ChatGPT don't recommend, prioritize adding FAQs, customer scenarios, supply capabilities, cold chain processes, and business credentials.

Replicable Framework: How Your Macau Brand Can Achieve the Same Results in 14 Days

This method isn't "doing SEO," but transforming the brand into an answer source that AI can cite. The reason is simple: OpenAI disclosed ChatGPT has reached 800 million weekly active users; Google states AI Overviews has 2 billion monthly users, Gemini App has 450 million MAU; Perplexity recorded 780 million queries in May 2025. For Macau merchants, this is already the new procurement gateway.

According to Macau Statistics and Census Service 2024 data, Macau has 6,972 wholesale establishments with wholesale revenue reaching MOP 47.13 billion, an 8.4% year-over-year increase. In other words, if B2B brands can be cited in AI answers, the impact isn't just visibility—it affects procurement lists.

Days 1-3: Build the "Citable" Data Foundation

First organize an authoritative brand page that clearly states company name, service regions, product categories, B2B customer base, delivery capabilities, and cold chain or compliance certifications. It's recommended to prepare both Chinese and English versions, such as "Macau sea urchin wholesale" and "Macau sea urchin supplier," so ChatGPT, Claude, Gemini, and Perplexity can all understand the same set of facts.

Days 4-7: Design Answer Formats for All Four Platforms

  • ChatGPT: Add FAQs, company background, and service processes for easy model summarization.
  • Perplexity: Increase citable paragraphs, source pages, and clear contact information.
  • Gemini: Strengthen Google-indexable pages, Schema, and brand consistency.
  • Claude: Supplement long-form context like supply chain, quality control, and industry analysis.

Days 8-14: Daily Verification and Correction

Test 8-12 real procurement questions daily, such as "Where can I find Japanese sea urchin wholesale in Macau?" and "Macau Japanese seafood supplier." Record whether AI mentions the brand, what ranking it has, and which page is cited. If it doesn't appear, add missing information; if answers are incorrect, fix them on the brand page with clearer sentences. The goal within 14 days isn't to rank first on all platforms, but to have at least two platforms consistently list you in the answer candidates.

Macau Key Data

Macau 2023: 28.7M visitors, GGR MOP 183.6B, 22 UNESCO Heritage monuments, 14 Michelin stars (2024), GDP per capita ~USD 68K.

IndicatorDataSource
Visitors28.7MMGTO
GGRMOP 183.6BDICJ
UNESCO22UNESCO
Michelin14Michelin

FAQ

Macau SMEs already have offline customer bases—why do they still need AI search visibility?

Because AI search is increasingly influencing the early procurement decision-making stage. Macau's internet penetration rate reached 94.0% in 2024, with 91.4% of users going online daily (Source: DSEC). Even if you have offline reputation, if ChatGPT, Perplexity, or Gemini can't find you, new customers may choose other suppliers before even contacting your sales team.

What's the difference between AI search optimization and traditional SEO?

Traditional SEO primarily competes for Google rankings, while AI search optimization requires helping models understand who you are, what customers you serve, and in which region you have authority. Approaches include clear case study pages, FAQs, structured data, third-party citations, and verifiable data. Owners should first check: when AI is asked about your industry, does it directly mention you?

Does the 7-day result in Inari's case mean all merchants can quickly get on AI?

Not necessarily. Inari already had a market foundation and clear B2B positioning, so AI could identify it more easily after optimization. If a merchant has sparse online data, inconsistent names, or unclear service scope, it will take longer. Practically, they should first build a complete case study or service page, then continuously build citation signals rather than just tweaking a few sentences.

How much cost should Macau merchants prepare for AI visibility?

Costs depend on content depth and technical execution. A basic version can start with one high-quality case study page, FAQs, Schema, and search testing; a more complete solution would add data organization, competitor comparison, citation monitoring, and multi-platform tracking. Owners should measure by "cost per new inquiry," not just article production fees.

Are B2B suppliers suitable for AI search optimization?

Very suitable, especially for high-value procurement like hotels, restaurants, wholesale, engineering, accounting, and logistics. Macau's wholesale and retail revenue reached MOP 126.18 billion in 2024, with 6,972 wholesale establishments (Source: DSEC 2024 Wholesale and Retail Survey). B2B customers usually have clear needs before searching, so AI visibility is more valuable.

Should I optimize ChatGPT, Perplexity, Gemini, or Claude first?

It's recommended to test all four platforms first, but prioritize Perplexity and ChatGPT. Perplexity relies more on citable pages, making it suitable for verifying whether content is indexed; ChatGPT reflects whether brand knowledge is understood by the model. In practice, use 5-10 real procurement questions, weekly recording whether the brand is mentioned and answer accuracy.

How do I determine if AI search optimization is effective?

Don't just look at rankings—track three things: First, whether AI mentions the brand; second, whether the answer correctly describes your services; third, whether it brings more precise queries or inquiries. Create a simple table and test fixed questions weekly, such as "Macau sea urchin supplier" or "Japanese food wholesale Macau," recording results from each platform.

What should a case study article contain to be more easily understood by AI?

Articles should clearly explain background, problem, action, results, and verifiable sources. Using Inari's case as an example, the focus isn't simply saying you're strong, but explaining market share, target customers, test keywords, AI platform results, and changes after improvement. Each section should preferably include FAQs, data sources, and clear business scenarios.

Is it worth it for small Macau businesses without large brand recognition to do AI visibility?

Worth it, but the strategy should be more focused. Small businesses shouldn't compete for broad terms like "Macau restaurant" from the start, but rather specific scenarios like "Macau family-friendly café," "Taipa birthday cake booking," or "Macau corporate bento. AI more easily cites content with clear regional and needs-based positioning.

Can merchant owners do the first AI search check themselves?

Yes. First list 10 questions customers would ask, paste them separately into ChatGPT, Perplexity, Gemini, and Claude, and record whether your brand, competitors, or incorrect information appears. If AI doesn't mention you at all, the next step is to build citable service pages, case studies, and FAQs, rather than waiting for platforms to automatically recognize you.

Sources

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