E-commerce News

Court Overturns Ban on Perplexity AI Shopping Agents

A US appeals court ruled that Perplexity AI shopping agents can legally buy on Amazon. Learn how this shift to agentic commerce impacts your brand.

Carlos Martínez Carlos Martínez 7 min read
An AI shopping agent analyzing product listings on Amazon to help e-commerce brands understand agentic SEO optimization.
Perplexity AI shopping agents are autonomous digital assistants that can search, compare, and purchase products on e-commerce platforms on behalf of users.

Executive summary

  • A U.S. appeals court overturned a previous injunction, ruling that Perplexity’s AI shopping assistant can legally operate on Amazon’s platform.
  • The 9th Circuit decided that AI bots acting on a user’s behalf do not violate federal hacking laws, dealing a massive blow to closed e-commerce ecosystems.
  • This legal precedent accelerates the shift toward agentic commerce, forcing brands to optimize their catalogs for machine readability rather than just human aesthetics.
Table of contents

Picture this: A customer tells their browser, “Buy me the highest-rated organic sunscreen under $20 on Amazon.” They don’t look at sponsored ads. They don’t read your perfectly crafted A+ content. In five seconds, the transaction is done.

Who made the purchase? Not the human. An AI agent did.

And Amazon just lost the legal power to stop it.

The ruling that broke the walled garden

Amazon has spent decades building the ultimate closed ecosystem. You pay for ads, you play by their algorithm, and they control the traffic. So when Perplexity launched “Comet”—an AI browser assistant that shops on Amazon for you—Amazon panicked. They sued, claiming unauthorized access under the Computer Fraud and Abuse Act (CFAA), and won a temporary injunction earlier this year, according to PYMNTS.

But yesterday, the 9th Circuit Court of Appeals flipped the script.

The court’s logic is a brutal wake-up call for retail giants. They ruled that Perplexity isn’t hacking Amazon’s servers. The user is accessing the site, just using a very smart tool to do the heavy lifting. By striking down the injunction, the court essentially legalized agentic shopping bots.

Here is the contrarian truth most marketing directors refuse to accept: The traditional Amazon search bar is dying. Everyone assumes human psychology will always drive e-commerce, but absolute convenience always wins out. Why scroll through ten pages of sponsored junk when an AI can do the filtering, price comparison, and checkout in the background?

300% — The year-over-year increase in AI-referred traffic to Shopify stores in Q2 2026, proving consumers are already abandoning manual search. Source: PYMNTS

What agentic shopping means for your inventory

If an AI is making the purchasing decisions, your current marketing playbook is obsolete.

Bots don’t care about flashy lifestyle images or emotional copywriting. They care about structured data, technical specs, and verified reviews. If your product variations are a mess, the AI will simply skip you and buy from a competitor whose data is clean.

This completely changes what products to sell on Amazon and how to position them. You aren’t just trying to catch a human eye anymore. You are trying to feed a Large Language Model (LLM) the exact parameters it needs to validate a purchase decision. Think about the implications for your team. Brand managers are already drowning in manual catalog updates. Now, they have to optimize for both human search and agentic AI simultaneously.

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Adapt or become invisible

We are entering the era of Agentic SEO.

Amazon will undoubtedly fight back. They might change their site architecture, block IP ranges, or heavily push their own internal AI assistant, Rufus, to keep users trapped inside their app. Ironically, as Amazon fought this fierce legal battle to protect its ecosystem, Jeff Bezos quietly filed to sell 15 million shares worth roughly $4.1 billion. The timing is a stark reminder that the market is shifting, and smart money knows the rules of retail are fundamentally changing.

15 million — The number of Amazon shares Jeff Bezos filed to sell the same week the company faced this major AI legal setback. Source: TipRanks

To survive this shift, your foundational data must be flawless. Your backend search terms, attributes, and bullet points need clinical precision. This is exactly why automating your Amazon listing optimization is no longer a luxury—it is a survival mechanism. If your CTO and COO aren’t aligning right now on how to structure your product data for machine consumption, you are already behind.

Epinium data: Brands that restructure their catalogs specifically for AI-driven readability see a 41% increase in organic indexing within the first 14 days, as both native algorithms and external scrapers parse the data faster.

What did the appeals court rule in the Amazon vs. Perplexity case?

The 9th Circuit overturned an earlier injunction, stating that Perplexity’s AI shopping agent (Comet) does not violate the Computer Fraud and Abuse Act (CFAA). The court ruled that the user, not the AI company, is accessing the platform.

How do AI shopping agents affect Amazon sellers?

AI agents bypass traditional search results and sponsored ads, making purchasing decisions based on hard data, pricing, and reviews. Sellers must focus heavily on technical catalog accuracy rather than just visual appeal.

Is Amazon trying to stop AI bots?

Yes. Amazon sued Perplexity to protect its closed ecosystem and ad revenue. While they lost this specific appeal, they are also developing their own internal AI shopping assistants like Rufus to retain control over the buyer journey.

What is Agentic SEO in e-commerce?

Agentic SEO is the process of optimizing your product listings so that AI assistants and Large Language Models (LLMs) can easily read, compare, and select your products when executing automated tasks for users.

How should brand managers prepare for AI shoppers?

Brand managers need to audit their product catalogs immediately. Ensure all backend attributes are filled, technical specifications are precise, and variations are correctly mapped so bots can process the information instantly.

The future of commerce isn’t human-to-business. It’s machine-to-business. The manufacturers that accept this reality today will dominate the automated carts of tomorrow. Don’t wait for your competitors to figure it out first.

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