Quick Summary

Joanna Lambadjeiva – Hidden-Demand Miner


Jo showed how one Claude prompt turns raw review exports into a frequency-ranked map of real-world use-cases (e.g., discovering 22 missed benefits for a coconut-oil ASIN) and then injects that language back into bullets so Rufus surfaces the listing more often.


Oana Paduraiu – RICE-Driven Listing Strategy


Her Reach-Impact-Confidence-Effort framework scores every feature against three buyer personas pulled from reviews + Brand Analytics, ending “spaghetti-on-the-wall” edits.


Abdullah Imran – No-Code Automation Architect


Demoed N8N workflows: a review analyser bot that writes Google-Sheet insights, a PPC waste-finder, and an Amazon Creative Studio image pipeline, all without code.


Dan Kurtz – Bleeding-Edge AEO & LLM SEO


In minutes he generated an AI-optimized web page, embedded an “Ask-Me” LLM on-site and revealed how Perplexity/Claude pages can rank instantly.


Jay Margaliot – Two-Prompt Persona Builder


Jay’s GenSpark combo analyses every review, clusters purchase drivers, then spits out a slide deck you can hand to creatives or media buyers—no manual reading required.


Ritu Java – Efficiency Playbook Queen


Shared shorthand commands (“NINDASH”, “BMM”) that make LLMs clean copy or re-format keyword lists instantly, plus a browser macro that harvests auto-suggest keywords for free.


Cherie Yvette – Context Engineer for Ads


Argued the next competitive moat isn’t prompts but “business-context injection” into frontier models; demonstrated building perfect contextual keyword lists for listings and campaigns.


Andrew Erickson – The AI Review Loop


Unveiled a multi-agent system that brainstorms, judges and refines email and creative assets—automatically surfacing the top performer while you sleep.

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Webinar Reviews

Where AI-commerce is heading (Kevin intro)

• Tech acceleration: AI capabilities are now doubling roughly every 7 months, collapsing road-maps that used to take years into quarters. 

• Agent-first shopping: New AI browsers (e.g., Perplexity’s Comet) and chat agents will comparison-shop and transact for consumers, siphoning searches away from Amazon/Walmart. 

• Conversion windfall: Early tests show AI-generated product suggestions convert up to 9× better than classic keyword search, even though the traffic is smaller. 

• SEO → AEO: Search engines now look for structured data, social proof (Reddit, YouTube, Quora), and intent—not just keywords. Answer-Engine-Optimization is the new moat. 

• Payments & ads go autonomous: Visa/Mastercard are building agent-ready rails; Meta and TikTok have already announced “hands-off” ad buying. Expect Amazon ads to follow. 

• Winner’s playbook: Blend old-school keyword work with semantic optimization, add rich schema, cultivate off-Amazon chatter, and prepare your stack for AI agents.