Welcome to the forefront of conversational AI as we explore the fascinating world of AI chatbots in our dedicated blog series. Discover the latest advancements, applications, and strategies that propel the evolution of chatbot technology. From enhancing customer interactions to streamlining business processes, these articles delve into the innovative ways artificial intelligence is shaping the landscape of automated conversational agents. Whether you’re a business owner, developer, or simply intrigued by the future of interactive technology, join us on this journey to unravel the transformative power and endless possibilities of AI chatbots.
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The news: 2025 was a significant year for AI’s foray into retail, ecommerce platforms, and the shopper journey. Here’s a look back on some notable product launches, emerging challenges, and changes in consumer behavior.
Notable launches: Agentic became a hot trend for AI firms, along with integrations that transform chatbots into one-stop product discovery and checkout centers.
How consumers are using AI to shop: 20% of global orders during Cyber Week were influenced by AI and agents, per Salesforce—a stat that at face value appears to show consumer adoption of AI shopping tools is well on its way to becoming mainstream. However, the reality is considerably more nuanced.
The problem: Some ecommerce platforms, including Shopify and Amazon, are starting to resist activity from external AI agents inside their ecosystems. Even Walmart, which has so far taken a more collaborative approach, recently added guidelines to its website that prevent agents from taking users to checkout pages or placing orders, per The Information.
If tools like Perplexity’s Comet take over product discovery and purchasing workflows, it could undermine retailers’ search and ad systems. Brands that depend on sponsored placements, display ads, and keyword-based ads could lose insights into shopper behavior and have less direct exposure to high-intent, ready-to-buy consumers. That loss of transparency would complicate attribution and increase reliance on first-party data.
What brands should do: AI is reshaping the product discovery journey as consumers increasingly rely on recommendations and product suggestions rather than organically finding new brands and items.
This boosts the importance of generative engine optimization (GEO) strategies, which includes adding clear metadata on products—like specs and pricing—indexable review sections, and full-sentence item descriptions that can be included in chatbot outputs.
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