Future of AI Shopping

How AI is reshaping shopping, and what your brand needs to win: live launch and Q&A with industry experts and Peec AI team.

About

AI is the new front door to commerce. Shoppers now start their research inside AI assistants, arriving on product pages already half-decided. What's less clear is what brands should do about it. In this live session, we'll show you how to own your shelf in practice: visibility, win rate, and position for every product, with live examples and Q&A.

Who is it for

Brands: E-commerce and brand teams who need to know if they show up when AI recommends products, and the SEO, growth, and marketing leads on the hook for putting them there.

Agencies: Teams tracking AI shopping for clients who need numbers that hold up in a pitch and a report that closes the room.

What you'll learn

How AI shopping really works, from ChatGPT's buyer's guides to the organic cited results deciding what gets bought.

How to read SKU-level visibility: win rate, AI position, share of voice, and where each product ranks against the competition.

Why AI talks about your products the way it does, and the specific moves that climb you up the ranking.

What actions should you take to win the AI Shelf.

Speakers

Leon Sentker

Agency Lead, Peec AI

Leon is the Agency Lead at Peec AI, helping them build and scale AI Search services for their clients. He shares practical thinking on GEO, agency reporting, AI-visibility workflows, and how teams can turn LLM data into clearer strategy and outcomes.

Malte Landwehr

CPO & CMO, Peec AI

Malte focuses on the strategic side of AI search and digital visibility. His work centers on helping companies adapt to the shift from traditional SEO to AI-driven discovery, helping organizations in translating complex systems into actionable insights.

Niklas Springer

Head of Product, Peec AI

Niklas is the Head of Product at Peec AI, building tools that help brands measure and shape their visibility inside AI models. He shares practical thinking on what's worth tracking, how to run AI-visibility experiments, and how teams can turn LLM signal into decisions.

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