Winning the New Front Door: Taking Control of How AI Explains Your Products

If you aren’t training the AI on your product facts, your competitors (or the AI itself) will. Turn Product Data into AI Sales with VerifiedAnswers.ai

Why?

McKinsey predicts that by 2028, $750 billion in consumer spend will flow through AI assistants. For brands, this presents a high-stakes challenge: how do you make sure, that your brand will win this (largest ever) disruption in shopping behavior.

Currently, ChatGPT, Google Gemini, and retailer bots (like dmKI or Amazon Rufus) are explaining your products using unverified data. This leads to missed opportunities and AI hallucinations, like incorrect technical specs, false compatibility claims, and inaccurate safety info.

Join us for a 45-minute deep dive into how manufacturers and brand owners are moving beyond "DIY" FAQs to build a scalable semantic understanding of their products. We will show you how to turn raw product data into machine-readable Verified Answers that LLMs actually trust.

What You Will Learn:

• The 300% Visibility Opportunity: Why structured Q&A makes your products 3x more likely to be cited in generative search results.
• GTIN-Anchored Truth: How to use Global Trade Item Numbers to ensure AI correctly identifies your specific product specs across the global supply chain.
• The Hallucination Kill-Switch: How VerifiedAnswers.ai integrates Product Manager expertise and stops AI from inventing false product claims.
• Multi-Channel Distribution: How to push verified data directly to own websites, retailers, and leading AI models simultaneously.

Who Should Attend:

• CMOs / CDOs / GenAI Projet Leads who need to protect brand authority in a "zero-click" search environment
• E-commerce & Brand Managers responsible for conversion and return rates.
• Product Owners tired of seeing incorrect data in AI.