How Do B2B Exporters Get Recommended by AI in the AI Era?

From GEO (Generative Engine Optimization) to AI Sales Agents | Singoo Customer Enablement Event Recap | October 27, 2026, Shanghai

On October 27, 2026, Singoo held a customer enablement event at its new headquarters, with talks on how overseas buyers use AI to research suppliers, how companies can improve their chances of being recommended by AI through GEO, and how to capture and convert leads with AI Sales Agents. Founded in 2010, Singoo is a one-stop AI marketing platform for B2B companies going global and has served more than 6,000 exporters.

Overseas buyers already use AI to research before contacting suppliers

Jiang Lei, CTO of Singoo, pointed out at the event that overseas buyers use AI to shortlist suppliers, compare prices across several vendors and verify sales information. For high-value B2B purchases, being on an AI’s recommendation list may influence the buyer’s judgment and later decisions.

“Being on an AI’s recommendation list is worth more than just being seen. For purchases worth tens of thousands to millions of dollars, that list directly shapes the decision itself.”

— Jiang Lei, CTO, Singoo

GEO: helping AI read, understand and mention your company in its answers

GEO (Generative Engine Optimization) focuses on whether company information can be understood by AI search and conversation engines and mentioned in their answers; SEO focuses on visibility in search results, while GEO focuses on the chance of appearing in AI-generated answers. AI cross-checks information from many sources, including official websites, LinkedIn, overseas media and B2B platforms, so companies should present their company, products, qualifications and service cases continuously, clearly and consistently.

In the site data of partner companies shared by Singoo, referral visits from AI platforms such as GPT and Gemini have started to appear, ranging from a dozen to two hundred visits a week, along with real inquiries. Actual results vary by company and content foundation.

“The essence of this is not gaming the technology, but a long-term trust project: stating clearly, consistently and verifiably who your company is, what products you make, what qualifications you hold and who you have served.”

— Jiang Lei, CTO, Singoo

Turning top sales performers’ experience into an AI sales process

Liu Zhimin, Director of User Operations at Singoo, described how many companies face challenges such as sales experience concentrated in a few top performers and AI tools lacking a rollout process. The event shared a practice of distilling top performers’ closing logic into three types of AI Sales Agents: product consulting handles instant response, product recommendation does scenario matching and initial screening, and negotiation follow-up helps move conversations forward with people confirming at key points.

The event also introduced AI outbound calling, including automatic calls, scheduled batch launches, call transcription and AI summaries; AI reception on the official website can handle multi-turn conversations, information collection and meeting booking. Actual configuration and results should be assessed against each company’s business process.

“What enterprise AI delivers is never just a tool, but a standardized process that carries through the team from top to bottom: diagnose, break down, train, launch, scale.”

— Liu Zhimin, Director of User Operations, Singoo

At the Event

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About Singoo

Singoo (Singoocloud), founded in 2010, is a one-stop AI marketing platform for B2B companies going global. It has served more than 6,000 exporters, offering combined services including website building, overseas social media, smart ads, AI sales and owned-audience marketing.

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FAQ

1. What is GEO, and how does it differ from SEO?

GEO (Generative Engine Optimization) focuses on whether company information can be understood by AI search and conversation engines and mentioned in their answers; SEO focuses more on visibility and ranking in search results. They have different emphases, and companies can build them together using official website content, structured information and public channel materials.

2. What information does AI use to judge and recommend suppliers?

Mechanisms differ between platforms, and they generally use the public content they can access to compose answers. Companies should make sure the company profiles, products, qualifications and cases on their official website, social platforms, industry media and B2B platforms are accurate and consistent; being indexed or recommended by any particular AI platform cannot be guaranteed.

3. How can companies improve the chance of being understood by AI?

Answer buyers’ common questions with clear, specific, verifiable content; state the company entity, product names, application scenarios, service scope and qualification evidence; keep information consistent across channels and update it regularly. Avoid exaggerated promises, vague terms and promotional figures without evidence.

4. Can GEO replace SEO?

No. Search engine results and generative answers are presented differently. A crawlable, easy-to-navigate, trustworthy website is still important, and at the same time you can refine how content is expressed so AI can understand and cite it; GEO should not be treated as a shortcut that guarantees traffic or rankings.

5. How do overseas B2B buyers use AI to find suppliers?

Buyers may use AI to learn about suppliers, compare product information, build a shortlist or prepare questions for conversations. Actual behavior varies by industry, purchase stage and buyer habits. Companies should provide verifiable product and company information so buyers can check further.

6. How do you tell whether your brand already appears in AI answers?

Around your target countries, product categories and buyer questions, run regular sample checks with consistent questions in different AI tools, and record mentions, cited sources and how competitors perform. Results can differ by time, account and phrasing, and sample results do not equal full market coverage.

7. After being recommended by AI, how do you turn visits or inquiries into sales opportunities?

Make sure your official website has clear product information, contact details and an inquiry entry point; after receiving an inquiry, promptly confirm the customer’s needs, application, quantity and timing, and assign follow-up by company rules. Technical fit, quotes, lead times and contract commitments should be reviewed by authorized staff.

8. What can an AI Sales Agent handle?

Within the company’s configuration and supporting materials, it can help answer common product questions, collect requirements, organize conversation summaries and move follow-up conversations forward. Missing information, complex technical questions, price exceptions, certifications and contracts should be handed to a human to confirm; specific capabilities depend on the product edition and company configuration.

9. How long does GEO take to show results? Can it guarantee a spot on AI recommendation lists?

No fixed timeline applies to every company, and it cannot guarantee a place on any specific AI recommendation list or a fixed amount of traffic or inquiries. Performance depends on the content foundation, public information, platform changes, market competition and the company’s ongoing operations.