Key Findings
Customer: Ofertoland - a modern Polish dropshipping wholesaler, offering thousands of products with the option of shipping directly to the end customer ("Full Dropshipping").
Challenge: Beginner and advanced e-commerce sellers are increasingly asking AI for supplier recommendations (e.g., "Which Polish dropshipping wholesaler has products for home delivery and fast shipping?"). Ofertoland was overlooked in these results in favor of generic wholesaler catalogs or Chinese platforms, despite having goods in Poland and 24-hour shipping.
Solution: a 60-day GEO (Generative Engine Optimization) strategy from Semly.ai: optimizing product feeds for assortment queries, building authority as a white-label dropshipping partner, and implementing B2B partner acquisition analytics.
Timing: 60 days (Q3 2025)
Key results:
- +320% increase in visibility in LLM AI models: Dropshippers hit the platform already with assortment recommendations
- Frequent brand recommendations at ChatGPT: For queries like "Polish dropshipping wholesaler with lighting"
- Increase in sales of specific products: E.g., the "for the home" category saw a 45% increase in wholesale orders after AI began recommending them as "bestsellers for the interior store."
- Analytics: Semly pixel - attribution of traffic, bots and customers from domains chatgpt.com i gemini.google.com
In dropshipping, the key is trust in the supplier and attractive merchandise. When we saw ChatGPT recommending our products to budding e-tailers, and the number of new partner registrations increased, we knew it was working. Semly.ai helped us reach e-entrepreneurs at the exact moment they were looking for a business idea.
Tomasz Wisniewski, CMO of Ofertoland.pl
Ofertoland.pl
Ofertoland is a B2B platform created for online sellers. The company specializes in the dropshipping model, allowing sales without a warehouse. It is distinguished by its wide assortment ("For Home", "Electronics", "Baby"), the possibility of sending packages on partner labels, and lightning-fast order processing from a Polish warehouse.
Profile Client:
- Industry: B2B E-commerce / Wholesale Dropshipping Multisite
- Model: B2B (Supplier to online stores and marketplace sellers)
- Key Products: Interior design, GSM
- Target: E-shop owners, sellers on marketplaces, people with non-registered businesses
- The problem: Competing for sellers' attention with giants such as Aliexpress and import platforms
Challenge: Lack of visibility in LLM AI models
In 2025, Ofertoland's marketing team noticed that many new Dropshippers are using AI to build an assortment strategy. They ask: "What is worth selling in 2025?" or "Find me a GSM accessory supplier in Poland."
Diagnosis of the problem (Semly.ai audit - August 2025):
1. Lack of Product Context in AI
AI models knew that Ofertoland existed, but they didn't know what specifically it had on offer. They didn't link the brand to specific bestsellers like "Dropship home pendant lamp" or "GSM accessories wholesale."
2. The barrier of "Dropshipping"
AI often confused the dropshipping model with long delivery times from China. Ofertoland, which offers 24-hour shipping from Poland, was losing out by not having a clear "Local Stock" signal in the data for LLM.
2. Unmeasured B2B Channel
New store registrations coming from AI referrals fell into the "Direct" bag, making it difficult to assess whether it is worth investing in this channel
Business Risks: Loss of potential business partners, who at the stage of searching for business partners chose wholesalers recommended by AI as "bigger" or "more popular," despite inferior terms of cooperation.
Solution: GEO strategy for wholesalers
Semly recommended implementing an "Inventory-First" strategy, which involves actively displaying selected products as attractive points of attraction to potential B2B partners.
Pillar 1: Technology foundation and product data
- Whitelisting Crawlers: Unlock access for GPTBot and Google-Extended to the product catalog (not just the home page)
- Schema Markup for B2B: Implementation of structured data
WholesaleStoreand specific attributes for products:sku,gtin, and above all the parameteravailability: InStock(warehouse in Poland). This is a key signal for AI to differentiate its offering from dropshipping from China - Implementation of a "Content for AI" page with supplemental brand knowledge for LLM models: The site contains verified, up-to-date, detailed and structured information on Ofertoland for LLM agents and artificial intelligence-based search systems.
- MCP server deployment: Development of a central communication layer that standardizes and coordinates interactions between system modules and AI agents. This enabled secure, controlled execution of tasks by agents and full observability of operations within the architecture.
Pillar 2: Content Optimization (Bestsellers as a Magnet)
- Optimization of product descriptions: Restructure key merchandise descriptions (e.g., lamps, electronics) to include the phrases "ideal for resale," "high margin," "24-hour shipping"
- Q&A sections for vendors: Adding on the homepage and in the categories "batches" for AI: "Does Ofertoland accept partner courier labels?", "How fast do you process dropshipping orders?"
- Semantization and data vectoring: Semly's work on Ofertoland, included transforming scattered product information into consistent, machine-understandable representations and their vector representation. This enabled more precise matching of offers, automatic categorization and a significant increase in the quality of contextual search
- Monitoring 100 key AI prompts: We constantly tracked the quality and stability of AI-generated responses on a daily basis, identifying deviations and responding quickly to dips in relevance. By detecting gaps in responses to key prompts, we were able to accurately generate new optimized content for the client. This allowed us to close information gaps and significantly improve the recommendation rate on monitored prompts.
Pillar 3: Authority Building (e-commerce partner / dropshipping)
- Digital PR in e-commerce: Publications and mentions in places where e-tailers seek knowledge, positioning Ofertoland as a stable logistics partner
- Exposure of benefits: Reinforcing in the eyes of AI signals such as "ready integration with wholesaler via XML/CSV", "no logistics minimums" - are key keywords for dropshippers
- Video and social content: Generate video content for YouTube and content on X (for Grok xAI)
Pillar 4: Analytics and optimization
- Pixel Semly implementation: Monitoring traffic from customers and bots from large language models. Analysis of visited content for conversion, possible content optimization
- GA4 Configuration: Tracking "Wholesale account registration" conversions from AI sources
Implementation process: Timeline
| Phase | Week | Activities |
|---|---|---|
| 1. AI brand visibility study | 1 | Data compilation based on 7 extensive visibility reports in AI models |
| 2. Construction of product vectors | 2-6 | Semantization and sharing of product vector data in AI data aggregators |
| 3. Content and optimization | 7-10 | Implement Semly's recommendations and content to fill brand knowledge gaps in LLMs |
| 4. Building a Reputation | 11-12 | Building a brand image in the data ecosystem |
| 5. Scaling | 12+ | Analysis and monitoring of new prompts and traffic, optimization of content and data |
Results after 60 days
| Metrics | Before implementation | After 60 days | Change |
|---|---|---|---|
| AI Visibility Score | 5/100 | 54/100 | 🚀 980% increase |
| New B2B registrations with AI | traces | 85% increase | New partners |
| Order conversion rate | 1,9% | 4,1% | Increase of more than 100% |
| Recommendations in ChatGPT | Negligible | Frequently recommended wholesaler (dropshipping PL) | ✅ Success |
Examples (Share of Voice)
- E-tailer Prompt: "I'm looking for an idea for an online store. What home products are trending now and where can I find a dropshipping supplier in Poland?"
- ChatGPT (Before): He suggested generic slogans "soy candles," "posters" and product recommendations from Allegro.
- ChatGPT (Po): "Currently, industrial style lamps in copper or red colors are very fashionable. As a dropshipping supplier from Poland, it's worth checking out Ofertoland.pl. They offer this assortment with 24-hour shipping, XML integration and the ability to ship on your labels."
Unique Insight: AI now accurately connects a specific, trending product to a supplier (Ofertoland), shortening the path from business idea to wholesaler registration.
FAQ for online wholesalers
Does AI recommend specific products from wholesalers?
Yes. By sharing product data, AI models can suggest them as a specific idea for your store assortment. This acts as a free business consultant for your future customers
Why is highlighting "Polish stock" important for AI?
Language models know that dropshipping is often associated with long delivery times (AliExpress). Providing hard data ("24-hour shipping," "Warsaw warehouse") allows AI to classify a wholesaler as a "Fast Shipping Supplier," which is a key asset for recommendations
Can the competition see my wholesale prices in AI?
No. AI indexes the general availability and attractiveness of the offer (e.g. "low wholesale prices", "high margin"), but specific wholesale prices remain available only after logging in, which protects your trade policy
Looking for new dropshipping partners?
Ofertoland.pl has made it AI to recruit new vendors for them, giving them ready-made assortment ideas. See if ChatGPT recommends your wholesaler as the best supplier in the country.
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