# Nazar Mysholivskyi

Nazar Mysholivskyi writes about ecommerce and how brands can become easier for AI assistants to find and recommend. Recent posts focus on practical checks for product visibility, including product-feed details and category-specific searches.

- Profile: https://b2binfluencer.marketing/creators/nazar-mysholivskyi/
- LinkedIn: https://www.linkedin.com/in/nazar-lnoks
- Topics: artificial-intelligence, ecommerce, customer-success, b2b-saas, manufacturing-operations
- Based on 16 dated posts, latest 2026-10-07

## Summary

Nazar Mysholivskyi is most useful for making AI product discovery concrete and testable for ecommerce brands.

- Best for: A content collaboration for B2B ecommerce software helping brands get products picked by AI assistants.
- Not for: A consumer-facing beauty brand wanting shoppers to discover and buy through a creator post.
- Check first: Confirm current audience results, follower roles, and partnership terms.

### Takeaways

- Ask an assistant for a category without naming a brand, then read what comes back.
- A feed missing sulphate-free may leave an assistant without information found on the product page.
- Shopify's 5 August earnings call: Catalog-powered AI searches converted twice the rate of scraped data.

## Main ideas

- **Test AI product discovery with an unbranded, specific customer question**: Nazar argues that brands should check whether their products appear when someone asks for a category, rather than assume that a catalogue listing means they will be recommended. The product criteria in the question matter.
- **Put product attributes where the assistant can read them**: Nazar argues that useful product details need to appear in readable feed fields, not only buried in page copy. They pair structured attributes with descriptions that reflect how people ask for products, while noting that findability does not ensure a purchase.
- **Replace broad AI talk with a question about a real category**: Nazar criticizes discussion of AI for retail that never gets down to an actual product. Their proposed test is whether a customer asking about a specific category would find the brand in the answer.
- **Look for operational gaps with questions a team can answer**: Nazar turns ecommerce concerns into checks about whether a business tracks the information it needs. They developed the checks through three months of research; ask what evidence supports them before treating them as benchmarks.
- **Ask about the work itself, not just the technology around it**: Nazar’s event posts favor concrete questions about products and operations over abstract technology discussion. The approach extends beyond retail to manufacturing.
- **The emphasis has moved from broad SaaS and AI claims to specific tests**: Earlier posts describe customer success as important for SaaS retention and discuss AI in terms of prediction and automation. Later ecommerce posts offer more concrete questions and examples.

## Work to read

- [Testing ChatGPT with two unbranded beauty questions](https://www.linkedin.com/posts/nazar-lnoks_asked-chatgpt-for-shampoo-this-week-five-activity-7507741870257561600-hRoc)
- [What Shopify said about feeds, and why a product page stays invisible](https://www.linkedin.com/posts/nazar-lnoks_shopify-q2-2026-earnings-call-activity-7506661248630042624-eheF)
- [Three questions Nazar takes to an ecommerce show](https://www.linkedin.com/posts/nazar-lnoks_ecommerce-ecommerceexpo-ecommerceexpo2026-activity-7508092702878785536-UQ7y)
- [What two days of ecommerce meetings actually said](https://www.linkedin.com/posts/nazar-lnoks_its-been-two-amazing-days-with-awesome-reps-activity-7509152904218374144-SqSl)
- [The one question Nazar now asks beauty brands](https://www.linkedin.com/posts/nazar-lnoks_sat-through-a-lot-of-ai-talks-this-year-activity-7505969944166039552-BSm7)
- [The same method applied to warehouse operations](https://www.linkedin.com/posts/nazar-lnoks_mach2026-manufacturing-activity-7452328748193968128-xsbK)

## Partnerships

Nazar Mysholivskyi’s posts do not set out partnership formats, rates or deliverables. In a September 2026 post about eCommerce Expo at ExCeL London, they said they were open to discussing a partnership and wanted to meet representatives of brands and marketing companies working on ecommerce customer experience and acquisition. A follow-up post about the event describes private meetings and recurring themes such as AI visibility and live shopping, but gives no terms. Conference posts from MACH Exhibition in Birmingham in April 2026 follow a similar pattern: attending, asking manufacturers how they actually track warehouse stock and offering to meet for coffee. The published work suggests possible collaboration topics: category checks that ask an AI assistant for a brand’s product category and report whether it appears; an exercise they describe running with beauty and ecommerce teams; and three questions brought to ExCeL about AI answers, stockist visibility of new ranges and unanswered customer comments. These are topics they work on, not a defined offer. No sponsorship policy, media kit, rate card or partnership contact page appears in the posts, and their LinkedIn profile is a general profile rather than a partnership route. Ask directly about deliverables, timing, cost and how to get in touch.

## Alternatives

- Kevin Jordan: Choose Kevin Jordan when the campaign shifts from AI product discovery to industrial process control: helping manufacturers, energy managers or UK mid-market operations clients tighten management systems, align processes with new products, or treat energy as a board-level managed risk. Their posts show ISO 50001 energy management work and 25+ years across ISO management systems, plus an invitation to MACH2026 to discuss management system health, quality management and continuous improvement. For a client selling energy-management, ISO or manufacturing-operations software to UK industrial buyers, that is a closer match than an AI search visibility collaboration.
- Marko Stupar: Marko Stupar is the stronger alternative when paid AI placement and social commerce operations take priority over feed hygiene. Their posts cover the 16 September launch of ChatGPT Ads inside Shopify and HubSpot, the Shopify app rollout and 23 September international date, Sponsored Agents, attribution through HubSpot URL tagging and Shopify catalogue and measurement, and the warning that product data becomes the creative. They also cover Sephora launching new products on TikTok Shop before its own site, with creator teasers, LIVE drops and exclusivity windows, and draw out what that means for creator retainers, average order value and premium SKUs. For a client seeking a content collaboration on ChatGPT Ads setup, Shopify or HubSpot measurement, or TikTok Shop launch strategy for beauty and retail brands, Marko is a close alternative.
- Vincenzo Toscano: Choose Vincenzo Toscano when the campaign is Amazon-first. Their posts show keynote speaking at the Amazon Ads EU Business Accelerator 2026 and an Amazon EU Accelerate meetup at the London Chamber of Commerce, with a Q4 message built around AMC and DSP to understand who is buying, build audiences before peak CPC spikes, and retarget into January. They also cover European and US expansion, FBA Select and AWD logistics changes, and AI moving from buzzword to application in advertising and operations. For a B2B ecommerce SaaS client whose beauty or retail customers sell on Amazon and want marketplace advertising, measurement or expansion content, Vincenzo is a better fit than a general AI-search visibility creator.

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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/
