Amazon Blocks Google AI Shopping Bots in Bid to Protect Retail Turf

Amazon has blocked AI shopping tools from accessing its product listings, limiting outside AI agents from displaying its products. This move protects its retail presence amid growing AI-driven shopping trends.

Published on: Jul 31, 2025
Amazon Blocks Google AI Shopping Bots in Bid to Protect Retail Turf

Amazon Blocks Google AI Shopping Tools from Its Website

Amazon has updated its website code to prevent AI shopping tools from companies like Google, Perplexity, Anthropic, and OpenAI from accessing its product listings. This move effectively stops these AI agents from displaying Amazon products in their search results or chat-based shopping experiences.

Tests show that when users search for Amazon products through AI chatbots such as Perplexity or ChatGPT, results often link to other retailers instead of Amazon listings. This suggests Amazon is deliberately limiting outside AI tools from using its product data.

This approach is an extreme example of retailers protecting their digital storefronts. While Shopify adopts a more selective strategy, Walmart is taking a cautious, observational stance. The concern is that if AI-powered shopping assistants grow popular, fewer consumers will visit retail websites directly, disrupting traditional product discovery channels.

Michael Morton, a senior analyst at MoffettNathanson, explained that AI integration into shopping experiences could collapse the traditional product discovery funnel, forcing businesses involved in that process to rethink their models.

Retailers face potential loss of visibility as AI agents increasingly control product searches, recommendations, and even transactions. Amazon and Walmartโ€™s recent actions aim to safeguard their core retail strengths in this evolving landscape.

What This Means for the Industry

  • Retailers may need to develop their own AI tools or partnerships to maintain consumer engagement.
  • Third-party AI shopping assistants could struggle to provide comprehensive results without cooperation from major eCommerce platforms.
  • Consumers might experience fragmented shopping experiences depending on which AI tools and retailers cooperate.

For those interested in AIโ€™s impact on commerce and how to adapt, exploring specialized AI training courses can provide valuable insights and skills. Visit Complete AI Training for relevant resources.


White House Announces 60 Companies Committed to Building a Digital Health Ecosystem

The White House announced that over 60 healthcare and technology companies have pledged to create a next-generation digital health ecosystem. This initiative aims to improve information sharing between patients and providers and increase the availability of digital health tools.

At the core of this effort is a new CMS Interoperability Framework designed to enable seamless data exchange. Patient-facing applications will address diabetes and obesity management, provide conversational AI health assistants, and replace paper intake forms with digital check-in systems.

Notable participants include Amazon, Anthropic, Apple, Google, and OpenAI. The group consists of:

  • 21 data networks
  • 11 health systems and providers
  • 18 patient-facing conversational AI apps
  • 8 diabetes and obesity management apps
  • 12 digital check-in apps ("Kill the Clipboard")
  • 5 payers

Health and Human Services Secretary Robert F. Kennedy, Jr. emphasized that longstanding barriers to health data access are being removed, empowering patients and rebuilding a more efficient health system.

CMS Administrator Dr. Mehmet Oz highlighted the goal of bringing innovation to healthcare similar to other economic sectors, enabled by commitments from entrepreneurial companies.

Anthropic, one of the AI startups involved, stated that breaking down healthcare data silos will improve care delivery by ensuring timely access to health information for patients and doctors.

The Future of AI in Healthcare

The generative AI market for healthcare is projected to reach $22 billion by 2032, reflecting growing recognition of AIโ€™s potential to transform healthcare delivery, patient engagement, and data management.

For IT professionals and developers interested in healthcare AI applications, specialized training can be found at Complete AI Training, offering courses tailored to emerging tech in health and AI.


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