In partnership with

Amazon Is Suing to Stop This AI Browser (Which Means You Should Use It Now)

Here are 50 workflows that save 15+ hours weekly and thousands in labor costs—here's your complete playbook on how to use it before restrictions hit.

November 5, 2025. Amazon filed a federal lawsuit that should terrify every traditional e-commerce platform—and excite every person who shops online.

The target? Perplexity AI's Comet browser.

The accusation? Allowing users to shop on Amazon using AI agents that actually make purchases on their behalf.

The real issue? An existential threat to Amazon's $50+ billion advertising empire.

This isn't just another tech lawsuit. This is the opening battle in a war that will fundamentally reshape how commerce works in the age of AI agents.

And if you understand what's happening right now—before most people even know Comet exists—you'll gain advantages that compound for years.

What Amazon's Lawsuit Actually Reveals

Here's what Amazon claims in their lawsuit:

"Perplexity is committing computer fraud by failing to disclose when Comet is shopping on a real person's behalf, in violation of Amazon's terms of service."

Translation: Comet is so effective at helping users that it threatens Amazon's control over the shopping experience and their advertising revenue.

Here's what the lawsuit actually proves:

AI agents that can shop across multiple websites simultaneously, compare real prices (not sponsored listings), analyze thousands of reviews in seconds, and execute purchases automatically aren't science fiction.

They exist today. They work. And they're powerful enough that the world's largest retailer is in federal court trying to stop them.

The genie is out of the bottle.

Why Amazon Is Terrified (And Why You Should Care)

Let me show you what's really happening.

Amazon makes over $50 billion annually from advertising. When you search for "wireless headphones," half the results you see are sponsored—sellers paid $2-5 per click to appear there, regardless of whether they offer the best price or quality.

Your typical shopping experience:

Open Amazon → Search → Scroll through sponsored results → Click around → Read reviews → Maybe check Walmart → Try to remember prices → 30-45 minutes later, purchase.

With Comet's AI agents:

Tell Comet what you need → It searches Amazon, Walmart, Best Buy, Target simultaneously → Compares prices, analyzes reviews, calculates total costs → 90 seconds later, presents best option.

No ads seen. No sponsored placements. Just the best actual option based on your criteria.

This is why Amazon filed a lawsuit within 4 days of Comet's update.

Their business model assumes you browse their website and see their ads. AI agents break that assumption completely.

What Comet Actually Does (And Why Big Retailers Hate It)

Comet is an AI browser from Perplexity that can research, compare, and help you make purchases—all while bypassing the sponsored results that retailers depend on for revenue.

The killer feature that has Amazon worried:

Unlike ChatGPT and Atlas (which have knowledge cutoffs from January 2025), Comet searches the live internet in real-time with Perplexity's search engine.

When you ask about prices, it checks RIGHT NOW across multiple retailers. When you research products, you get current information—not data from 6-10 months ago.

For shopping and business intelligence, that difference is massive.

Here's what that looks like in practice:

Last week, I used Comet to research wireless headphones. It found them for $339.99 at Best Buy vs. $349.99 on Amazon. More importantly, it caught that recent Amazon reviews mentioned packaging damage issues—something I would have missed completely.

90 seconds of work. $10 saved. Hassle avoided.

Multiply that across every purchase you make, every vendor you research, every competitor you monitor.

The time and money savings compound fast.

Real Results from People Using Comet

I spent 3 weeks building a complete playbook with 50 copy-paste workflows for Comet. I gave it to a small group before publishing this.

Here's what they reported after one week:

Marketing director: "Caught a competitor's 15% price drop within 24 hours using the monitoring workflow. Adjusted our strategy immediately instead of losing deals for weeks. Saved a $15K contract."

E-commerce seller: "The vendor research workflow found a supplier 18% cheaper with better reviews in 10 minutes. Saved $22K annually on our main product line."

Operations manager: "Automated office supply ordering in 20 minutes. Saves 3 hours weekly and we're spending 12% less. Paid for itself day one."

Product manager: "Market validation that used to take 2 weeks now takes 2 hours and is more comprehensive. Already killed one bad idea and fast-tracked a winner."

These aren't outliers. These are typical results from one week of usage.

What I Built (And Why)

When I saw Amazon's lawsuit, I realized something important:

There's a window here.

A 6-12 month period where Comet's capabilities are fully available without restriction while the legal framework develops. The lawsuit won't resolve for 12-18 months minimum.

Early adopters who master these workflows now will have:

  • 12-18 months of skill development advantage

  • Established processes and proven ROI

  • Experience while others are just learning

So I built something comprehensive: The Comet AI Agent Playbook.

109 pages. 50 workflows. Complete implementation framework.

Free email without sacrificing your privacy

Gmail is free, but you pay with your data. Proton Mail is different.

We don’t scan your messages. We don’t sell your behavior. We don’t follow you across the internet.

Proton Mail gives you full-featured, private email without surveillance or creepy profiling. It’s email that respects your time, your attention, and your boundaries.

Email doesn’t have to cost your privacy.

Here's what's inside:

Consumer shopping workflows that find the absolute best prices across all retailers, automate recurring purchases, optimize subscriptions, handle gift shopping for multiple people, and stack every possible discount for maximum savings.

Business procurement workflows that research vendors across B2B marketplaces, automate office supply reordering, source equipment for new employees, monitor vendor compliance, and find white label manufacturers for private label products.

Competitive intelligence workflows that monitor competitor pricing and products in real-time, validate market demand before product development, research optimal pricing strategies, track supply chain patterns, and analyze customer sentiment.

Market research workflows that identify trending products before they saturate, analyze return patterns to improve quality, monitor regulatory changes, and categorize expenses automatically for accounting.

Plus advanced techniques for chaining workflows together, industry-specific applications, and the complete legal landscape analysis.

Everything you need to exploit this window before restrictions potentially hit.

The Business Value These Workflows Create

Let me be specific about what these workflows actually deliver:

For procurement:

Instead of spending 4-6 hours researching vendors manually, gathering quotes, comparing specs, checking reviews—you run a workflow that does it in 15 minutes with more comprehensive analysis than you'd do manually.

One person using the playbook found a new supplier offering 18% savings with better quality in one 10-minute workflow. That's $22,000 saved annually from 10 minutes of work.

For competitive intelligence:

Instead of manually checking competitor websites weekly, missing day-to-day changes, discovering major moves weeks late—you set up monitoring that alerts you within 24 hours of significant changes.

Another user caught a competitor's price drop immediately and adjusted strategy. Saved a $15,000 deal they would have lost.

For shopping:

Instead of opening 5 tabs, comparing prices, calculating shipping, reading reviews, spending 30-45 minutes per purchase—you run a workflow that presents the best option in 90 seconds.

If you make 10 purchases monthly and save an average of $15 per purchase through better price discovery, that's $1,800 annually. Plus 7+ hours saved monthly.

The time savings alone are worth thousands annually.

But the real value is in the opportunities you capture and mistakes you avoid because you have better, more current information.

The Critical Difference: Real-Time Search

Here's what most people miss about Comet:

ChatGPT and Atlas have knowledge cutoffs. Their training data ended in January 2025. When you ask them about prices, products, or competitors, they're working with information that's 6-10 months old.

For stable information (history, science, general facts), that's fine.

For time-sensitive information (prices, availability, trends, competitor moves), that's disqualifying.

Comet searches the live internet for every query. You get current information with source citations.

Why this matters for business:

Your competitor drops prices 15%. With Atlas, you discover it weeks later after losing deals. With Comet's monitoring, you know within 24 hours and adjust immediately.

A new supplier enters the market with better pricing. Atlas doesn't know they exist. Comet finds them immediately.

Product reviews reveal a quality issue emerging. Atlas sees old positive reviews. Comet catches the recent negative trend.

Current information isn't just better. It's often the difference between profit and loss.

Examples of What You Can Do Right Now

Consumer use cases:

Find the absolute lowest price across every major retailer in 90 seconds instead of 30-45 minutes of manual comparison. Set up price monitoring that alerts you when products hit your target price and auto-purchases when deals appear. Optimize all your subscriptions by comparing one-time vs. subscription costs and adjusting frequencies based on actual usage.

Automate your weekly grocery ordering by analyzing your purchase patterns and creating smart replenishment lists. Get personalized gift recommendations for multiple people that fit their interests and your budget, all with guaranteed delivery by your deadline.

Business use cases:

Research vendors across Amazon Business, Alibaba, and specialized B2B marketplaces in 15 minutes instead of 4-6 hours. Monitor your top competitors' pricing, features, and review sentiment automatically with alerts for significant changes.

Validate market demand for new product ideas in 2 hours instead of 2 weeks with more comprehensive data. Source white label manufacturers that meet your quality standards and MOQ requirements in minutes instead of days.

Track competitor inventory patterns to identify supply chain issues and capture their frustrated customers when they're out of stock. Analyze customer reviews across your products and competitors' to identify improvement opportunities and weaknesses to exploit.

The pattern:

Tasks that used to take hours now take minutes. Tasks that used to take days now take hours. Tasks you couldn't do at all are now automated.

The 6-Month Window (And What Happens Next)

The lawsuit won't resolve quickly. Legal experts estimate 12-18 months minimum.

During that time, Comet's capabilities work without restriction.

Here's what could happen:

Scenario 1: Perplexity wins (40% probability)

  • AI agents established as legal

  • Explosion of shopping agents across platforms

  • Your advantage: 1-2 year head start

Scenario 2: Settlement (45% probability)

  • Negotiated framework with some restrictions

  • Agents continue with agreed rules

  • Your advantage: Adapt quickly, still ahead

Scenario 3: Amazon wins (15% probability)

  • Platforms can restrict agents

  • Workarounds and alternative tools emerge

  • Your advantage: Skills transfer, manual efficiency gains

Regardless of outcome, the skills you build now translate to whatever framework emerges.

And during this window, you can build advantages that compound for years.

Who Should Use This Playbook

Use Comet if:

  • You make frequent purchasing decisions (personal or business)

  • You need to research competitors or market trends

  • You source vendors or negotiate with suppliers

  • You want to find the absolute best prices across retailers

  • You need real-time information for business decisions

  • You want to automate repetitive shopping or research tasks

The reality:

If you're making purchasing decisions based on outdated information, you're leaving money on the table.

If you're researching competitors manually, you're spending 10x the time for worse results.

If you're not monitoring competitor moves in real-time, you're discovering opportunities weeks too late.

Get the Complete Playbook

I'm giving away the entire playbook—all 109 pages, 50 workflows, implementation frameworks—completely free.

Why free?

Because I believe the window matters more than monetization. The professionals who adapt now will have advantages that last years. I'd rather arm as many people as possible during this window.

What you'll get:

The complete story of why Amazon sued (and what it means for you), how Comet's real-time search technology actually works, 50 copy-paste ready workflows across consumer and business use cases, advanced techniques for chaining multiple workflows together, industry-specific applications for e-commerce, manufacturing, professional services, and more, plus implementation frameworks for individuals and teams.

Everything you need to exploit this window before potential restrictions.

The Bottom Line

Six months from now, there will be two types of professionals:

Those using AI agents, operating at higher velocity with better information, capturing opportunities others miss.

And those still doing things manually, wondering why they're falling behind.

The tools exist. The capabilities work. The lawsuit proves how powerful they are.

Amazon isn't suing because Comet doesn't work. They're suing because it works too well.

And that's exactly why you should be using it right now.

The browser wars are over. AI agents won. The only question is: will you exploit the advantage before restrictions hit?

Keep Reading

No posts found