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In this AI-led world, trusted content is your best asset for machines to understand. Authentic content enables machines to read and understand your products easily. Brands strategically increasing verified reviews and UGC win at AI product discovery along with digital shelf optimization.
Join Douglas Straton for the From reviews to revenue: AI product discovery & digital shelf webinar. Learn the exact steps that make AI recommendations favor your brand.
We will cover the following in our webinar:
- Identify the gap in AI discoverability for brands/retailers: Understand how AI sees your products and where you are losing sales.
- Train AI on your structured data equipped with brand signals: Learn how to structure data so AI models easily read and trust your information.
- Scale UGC and verified reviews to drive trust and results in the digital shelf: Authentic reviews defend your brand. Increase volume to gain pricing power.
- Implement a framework for visibility in GEO/ASEO: Master Generative Engine Optimization (GEO) for sustained growth. This is the new standard for showing up in AI answers.
Ready to 3X your chances to be chosen by AI recommendations?
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Douglas is a deeply experienced thought leader and passionate business builder with a background spanning over 20 years in general management, digital transformation, and marketing. His career is heavily rooted in major consumer brands, having held senior leadership roles at global powerhouses across various categories, including personal care, food, refreshment, and luxury. He has a history of building large businesses in both start-up mode and Fortune 500 environments, leading with a client-centric, value-driven approach. He champions this value-driven philosophy and consistently advises brands on maximizing business value through digital strategies.
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Quality is a perception that’s influenced by experience. If a customer isn’t happy with their experience, they won’t perceive a product or brand as being a high quality investment.Dorothy Schiller Director of Marketing, Zinus
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