# Juozas Kaziukenas

Juozas Kaziukėnas writes about ecommerce, online marketplaces, and how AI shopping agents may change the way people find and buy products.

- Profile: https://b2binfluencer.marketing/creators/juozas-kaziukenas/
- LinkedIn: https://www.linkedin.com/in/juozas
- LinkedIn followers: 14,322
- Topics: artificial-intelligence, ecommerce, agentic-commerce
- Based on 9 dated posts, latest 2026-10-08

## Summary

They are most useful for research-backed analysis of AI shopping agents, marketplace strategy, and emerging platforms for ecommerce operators.

- Best for: B2B ecommerce analytics campaigns that need analyst commentary for operators and marketplace sellers.
- Not for: Paid consumer creator work, live-selling hosting, or short-form product video for fashion and beauty brands.
- Check first: Confirm commercial terms, audience demographics, and reach or engagement on comparable posts.

### Takeaways

- AI shopping agents favor cheaper, higher-rated products and avoid listings marked Sponsored.
- ChatGPT may have enough retail supply to focus on shopping experience over partners.
- Whatnot's reported growth suggests live commerce may take hold in the West.

## Main ideas

- **AI shopping agents have their own biases, and paid placement can work against you**: Kaziukėnas treats AI agents as decision-makers with preferences, not neutral search indexes. In a research paper where Claude, ChatGPT and Gemini were asked to make shopping choices, the agents tended to pick cheaper, higher-rated products and favored listings tagged "Overall Pick" or "Best Seller"; they were inconsistent with one another, but all avoided products tagged "Sponsored," even when those ranked at the top. The bias appeared without any instruction about sponsorship, which is what makes it notable to Kaziukėnas. The same paper found that AI-generated tweaks to product descriptions could sharply raise clicks. Kaziukėnas frames this as the early stage of optimization for AI agents — a differentiating discipline where the rules are still being discovered and can currently be exploited with prompt injection — and argues the sponsored bias is something sellers could learn to align with rather than accept as fixed.
- **ChatGPT's retail strategy is a supply-and-demand problem, and brands shouldn't wait for a direct integration**: Kaziukėnas argues ChatGPT is not racing to sign up more retailers because three partners — Etsy, Shopify and Walmart — already give it broad coverage of ecommerce inventory, leaving gaps in electronics, fast fashion, furniture and luxury. The rollout has been slow: four weeks after the Etsy and Shopify announcement, only Etsy was live. They expect Walmart to take even longer, while eBay would join as soon as OpenAI called and Amazon would likely hold out. Because ChatGPT already has demand, they expect the next phase to focus on scaling user behavior and building richer shopping experiences rather than adding supply — a point they sharpen by calling ChatGPT “very dull for shopping.” Their conclusion for brands is concrete: sell on Walmart or host on Shopify now instead of waiting for direct integration.
- **Big shopping platforms can scale while staying invisible to the industry, so judge them on metrics rather than your own feed**: Kaziukėnas compares Whatnot to SHEIN a few years ago: billions of dollars in sales with almost no visibility outside its core audience. They cite roughly $8 billion in live ecommerce sales in a year, 100%+ growth, more than half the US market in its categories, and months as one of the most downloaded US shopping apps behind only Temu, with users reportedly spending about 95 minutes a day in the app. Its core categories — collectibles such as sports cards, trading card games, coins and entertainment cards, plus fashion and sneakers — are why general audiences miss it. They are blunt that they find the content “low quality and boring,” a reaction they consider more interesting than disqualifying because the audience clearly responds to it. Fashion and beauty are the fastest-growing categories, and they expect Whatnot to overtake Etsy in gross merchandise volume.

## Work to read

- ["Sponsored" tags hurt AI-agent buying decisions](https://www.linkedin.com/posts/juozas_sponsored-tags-hurt-ai-agent-buying-decisions-activity-7366438109615390721-bNfV)
- [ChatGPT is not desperate to get Amazon](https://www.linkedin.com/posts/juozas_chatgpt-is-not-desperate-to-get-amazon-with-activity-7388580676901539840-CeT4)
- [Whatnot is the live-commerce platform most brands are not watching](https://www.linkedin.com/posts/juozas_a-few-years-ago-no-one-knew-what-shein-was-activity-7422677329723715584-YuXC)

## Partnerships

Juozas Kaziukėnas's three posts offer no sponsor policy, rate card, media kit or disclosed example of paid partnership work, so there is no basis for describing a partnership format. They show the kind of output they produce: short analytical commentary on ecommerce, marketplace supply and AI shopping agents, written for a professional audience rather than as branded content. For a B2B ecommerce analytics company, a realistic starting point is to approach them as an analyst or commentator whose posts could frame a webinar or article topic, not as a creator with published sponsorship placements. No official partnership inquiry route is published. Ask directly whether sponsored posts, research collaborations or paid speaking are available, and on what terms.

## Alternatives

- Sharon Gai: Choose Sharon if the webinar or article should focus on how AI is changing the shopping journey, especially agent-led discovery, checkout and payments. Her posts introduce agent-payment protocols and describe a shift from marketplace listings and social commerce toward agentic commerce, giving a campaign on that shift a broader consumer-journey frame.
- Haider Ali: Choose Haider if the buyer wants a practical demonstration of AI-assisted ecommerce research. One post offers a reusable prompt and setup steps for comparing Amazon listings, reviews, brand stores and product gaps across browser tabs. That could make the webinar a hands-on seller workflow rather than a market-analysis session.
- Laurie Kacinski: Choose Laurie if the buyer’s main concern is marketplace operations and brand control, rather than how agents choose products or how live commerce is growing. Her posts give concrete examples of unauthorized sellers, pricing violations, Buy Box loss, inventory diversion, listing changes and the risks of managing multiple sales channels separately. That could support a practical session on marketplace visibility and brand protection.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/