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Imagine this: A potential AI-driven market research identifies your product as the perfect solution for a customer—but your company has a registration barrier for product details. The result? AI can’t recommend your product. A direct competitor without such a barrier wins the deal.
Why does this matter?
Many companies hide their product data behind a registration wall, often due to concerns about data misuse or as a lead-generation strategy. But in the era of AI, the rules are changing drastically.
➡️ How does an AI like ChatGPT access publicly available product information?
➡️ Where is product data freely accessible, and where are barriers in place?
➡️ What are the consequences for visibility and competitiveness?
In this first post, you’ll learn how AI interacts with product data and how some companies are unknowingly eliminating themselves from the competition. In the next two posts, we’ll explore why registration barriers were implemented, the disadvantages they bring today, and how companies can adapt to this new reality.
Stay tuned – or join the discussion now: Does requiring registration for product data still make sense today?
Part 1: How AI Uses Your Product Data – And Where Companies Unknowingly Block Themselves
Part 2: Why Were Registration Barriers Created – And What Are Their Downsides Today?
Part 3: How Companies Can Adapt – Without Losing Control of Their Data
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