Views: 321 Author: Site Editor Publish Time: 2026-09-12 Origin: Site
1. Trend status: Customer procurement search is fully AI-based
Data at the end of 2025: ChatGPT has more than 400 million weekly users, and AI search engines (Perplexity, You.com ) have more than 200 million monthly users. Overseas buyers have switched from traditional Google searches to directly using AI to ask questions to find suppliers.
Shenzhen precision mold foreign trade enterprise inquiry structure (real case):
Source channel | Proportion | Year-on-year change |
Google organic search | 32% | -8% |
B2B platform | 28% | -3% |
Repeat purchases from old customers | twenty two% | +5% |
AI recommendation/citation | 18% (2025Q2) | +18% |
Other channels | 6% | -6% |
Core conclusion: AI recommendation is already the core channel for acquiring new customers in foreign trade. Companies that have not optimized AIGEO will directly lose AI purchase inquiries.
2. AIGEO core concept (different from traditional SEO)
2.1 Definition
AIGEO (AI Generative Engine Optimization): AI generative engine optimization, by optimizing website content, structure, and authority signals, allows major AI models to proactively mention, recommend, and quote corporate official websites and brands when answering user purchasing questions.
2.2 AIGEO VS Traditional SEO
Contrast Dimensions | Traditional SEO | AIGEO |
core goals | Search engine home page ranking, traffic | AI answer recommendation, brand citation |
Grab objects | Google/Bing crawler | Large model training data + real-time retrieval source |
core indicators | Ranking, UV, CTR | AI mention rate, recommendation frequency, ranking |
Content logic | Keyword density, external link weight | Structured knowledge, authoritative endorsement, complete FAQ |
Timeliness characteristics | Long-term stable ranking | Dynamically updated as the model iterates |
2.3 Two core paths for AI identification of enterprises
Training data embedding: Enterprise information is included in authoritative web pages, white papers, and industry media, and entered into the large model basic knowledge base to achieve native AI cognition.
Real-time search RAG: ChatGPT, Gemini and other online searches, prioritize high-weight and high-quality content from Google and Bing, and provide real-time citation recommendations.
3. Four mainstream AI model indexing rules and optimization key points
AI model | Search capability | core data source | Exclusive optimization focus |
ChatGPT | ✅ Bing real-time search | Bing index, authoritative external links | Bing SEO, release of GPT crawlers, high-quality external links |
Gemini | ✅ Google Live Search | Google global ecosystem | Google SEO, Google business profile, YouTube content |
Claude | ✅ Some online searches | Academic/Technical Documentation | Technical white papers, industry papers, professional forum endorsements |
Grok | ✅ Real-time whole-network search | X (Twitter) Ecology | X account activity, industry KOL endorsement, social media exposure |
4. A full set of practical implementation steps for 2026AIGEO
4.1 Basic construction: open the AI crawler index permissions (must do)
Many corporate websites are blocked by AI crawlers, resulting in AI being unable to include recognized brands at all. The following configurations need to be completed:
Website Basics Self-Check Checklist
Submitted to Google Search Console, Bing Webmaster Tools
Website configuration HTTPS certificate, mobile terminal adaptation
Complete Sitemap submission, no errors
Release mainstream AI crawlers (core configuration, copy and use)
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4.2 Core content layout (AI high-citation content strategy)
1. FAQ Q&A page (AI reference)
Build a Q&A page based on high-frequency procurement issues in the industry and configure FAQ structured data to greatly increase the probability of direct AI citation.
Universal JSON-LD code template (can be used directly to replace the content)
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2. Standardization and optimization of product pages
Optimization project | Practical requirements | weight |
Product details description | More than 300 words, including parameters, scenarios, certifications, and advantages | 高 |
Image optimization | All product images are configured with Alt tags | 中 |
Specifications | Tabular display, clear and intuitive | 高 |
Qualification certification | Publicize ISO, CE, FDA and other certificates and numbers | 高 |
Customer case | A single product page is equipped with 1-2 real implementation cases | 中 |
3. Blog/Knowledge Base Authoritative Content Matrix
Content type | update frequency | word count standards | core role |
Technical in-depth articles | 2 articles per month | 2000-3000 words | Create technical authority and adapt to Claude collection |
Industry trend analysis | 1 article per month | 1500-2000 words | Reach purchasing decision makers |
Dismantling of customer cases | 2 articles per month | 1000-1500 words | Strengthen AI trust judgment |
Industry FAQ Guide | 1 article per week | 800-1200 words | Full coverage of long-tail AI questions |
4.3 Structured data configuration (AI understanding core shortcut)
Structured data allows AI to identify companies, products, questions and answers, and word-of-mouth, greatly increasing the probability of recommendation. Must-install types:
Organization: Enterprise subject information (official website homepage)
Product: product structured data (product page)
FAQPage: structured data for questions and answers (FAQ page)
Article: Blog article authoritative logo
Review: customer evaluation word-of-mouth data
BreadcrumbList: website hierarchy
Verification tool: Google Rich Results Test, it will take effect if the test is passed.
4.4 Authoritative signal construction (AI recommendation core weight)
AI gives priority to recommending companies with high authority and credibility, sorted by weight from high to low:
Wikidata/Wikipedia enterprise entries
Authoritative overseas industry media reports ( Manufacturing.net , ThomasNet)
Mainstream B2B platform certification files (MIC, Alibaba International, Global Sources)
High-tech enterprises, industry associations, and government endorsements
List of suppliers of major manufacturers and announcements of exhibitors at industry exhibitions
Professional and technical forums, positive discussions in overseas communities
Tips to avoid pitfalls: AI can identify spam external links and brush data, only provide authentic and authoritative endorsements, and reject batches of low-quality external links.
5. Real implementation case: AI inquiries surged 184% in 6 months
5.1 Corporate background
Suzhou Precision Machinery Company specializes in aviation and medical CNC processing. Before optimization, its AI mention rate was 0 and it relied on traditional Google traffic.
5.2 Six-stage implementation process
Month 1: Website revision, opening up crawler permissions, deploying a full set of structured data, and improving the Google business homepage
Months 2-3: Batch online FAQs, technical articles, standardized product page parameters and qualifications
Month 4: Establish external authoritative endorsement, enter overseas industrial platforms, and create Wikidata entries
Months 5-6: Continuous content updates, monthly AI mention rate monitoring, page optimization iterations
5.3 Final performance data
core indicators | Before optimization | After optimization | Improvement |
Website monthly UV | 3200 | 12800 | +300% |
ChatGPT mention rate | 0% | 78% | Significantly added |
Gemini mention rate | 0% | 65% | Significantly added |
Total monthly inquiries | 45 | 128 | +184% |
AI channel inquiry | 0 | 31 | New customer acquisition channels |
Inquiry conversion rate | 18% | 26% | +8% |
6. Core decision-making suggestions for business owners
1. AIGEO is an SEO amplifier, not a substitute: high-quality content and basic website optimization are the underlying foundation. What AIGEO optimizes is the ability to be "understood and recommended by AI".
2. 2026 is the golden window period: At present, the competition in the industry is minimal and the input-output ratio is extremely high. Stable AI recommendations can be achieved in 3-6 months, without blindly burning money.
3. Establish a monthly monitoring mechanism: fixed questioning techniques, regular testing of the mention rate of the four major AI model brands, and data-driven optimization and iteration.
7. Appendix: AIGEO effect monitoring template
7.1 Common test prompt list
1. Recommend high-quality suppliers in China [industry]
2. Best [product] manufacturers in China
3. What are the reliable factories in [city][industry] in China?
4. Top Chinese suppliers for [product]
5. Which Chinese company makes the best [product]?
7.2 Data monitoring record form
Test date | AI model | Prompt number | whether to mention | Recommended ranking | Remark |
ChatGPT | |||||
Gemini | |||||
Claude | |||||
Grok |
About TPV Information Technology Co., Ltd.
TPV Information Technology (Changzhou) focuses on AI empowering Chinese manufacturing factories to go overseas. It focuses on AIGEO global optimization, AI foreign trade customer acquisition system construction, and overseas social media safe operation to help companies seize new AI procurement traffic and achieve stable recommendations and accurate customer acquisition on the AI platform.
