[ BDSN ] 📋 Inside: 365 Amazon Hacks Master List

👀 THE AI REVOLUTION IN SEARCH ENGINE OPTIMIZATION

For years, the fundamentals of search engine optimization (SEO) remained relatively stable: keyword optimization, link building, structured data, and user experience.

But the rapid integration of artificial intelligence (AI) is now disrupting these norms, reshaping how search engines operate and how businesses—especially e-commerce brands—must adapt to stay competitive.

The AI-Powered Shift in Search

The introduction of AI-powered search assistants is fundamentally altering how users interact with search platforms. Google is currently testing a feature called “Get help from Google’s Sales Assistant,” a chat-based AI tool that refines product search results in real-time based on user queries.

This AI-driven assistant personalizes recommendations and provides contextual responses, leveraging free product listing data.

This marks a significant shift from traditional search behavior. Instead of relying on static search results, AI chatbots curate and refine results dynamically, providing a more intuitive shopping experience.

As a result, businesses must rethink their approach to SEO—static content is no longer enough; real-time, data-driven personalization is the new frontier.

The Hidden Pitfalls of AI Search Engines

With AI taking over search, businesses must also adapt their technical SEO strategies. A recent investigation uncovered a critical issue: AI crawlers struggle to interpret JavaScript-injected structured data.

Unlike traditional search crawlers like Googlebot—which can execute JavaScript—AI crawlers like GPTBot, ClaudeBot, and PerplexityBot only read raw HTML.

This means that websites relying on tools like Google Tag Manager (GTM) to insert JSON-LD structured data dynamically are invisible to AI-driven search engines.

Without structured data in the initial HTML, AI-powered search engines fail to recognize product details, reviews, and other key ranking factors.

How to Adapt

• Use Server-Side Rendering (SSR): Ensure that structured data is included in the HTML before it’s served to AI crawlers.

• Prerendering: Generate static versions of dynamic pages to make content fully accessible.

• Static Schema Markup: Directly embed structured data in the HTML instead of relying on JavaScript-based injections.

AI’s Disruption in E-Commerce SEO

AI is not just transforming traditional search engines—it’s also revolutionizing how marketplaces like Amazon, Walmart, and social commerce platforms operate.

The days of simple keyword stuffing are gone; AI-driven algorithms now personalize search results based on shopper behavior, purchase history, and real-time trends.

Key Changes in Marketplace SEO:

1. Personalized Search Results: AI curates product rankings based on user preferences rather than universal ranking factors. Listings must now cater to individual shopping habits, not just general keyword optimization.

2. Emergence of AI-Driven Search Platforms: Marketplaces are integrating AI-powered search tools like Rufus that process conversational queries, shifting the landscape away from keyword-based search.

3. Advanced Data Utilization: Platforms like Amazon Marketing Cloud (AMC) provide sellers with unparalleled insights into customer behavior, allowing for hyper-targeted SEO and advertising strategies.

Winning Strategies for AI-Driven Marketplace SEO

• Dynamic Content Optimization: Utilize AI-powered tools that automatically adjust product listings based on demographics and search trends.

• AI-Generated Content: Leverage AI models to generate SEO-friendly titles, bullet points, and descriptions optimized for AI-driven search engines.

• Micro-Niche Targeting: Instead of broad categories, optimize listings for underserved subcategories to rank higher in AI-personalized search results.

• AI-Powered Pricing Strategies: Implement dynamic pricing models that adjust based on competitor analysis and market demand.

• Augmented Reality (AR) & Interactive Content: AI-driven platforms favor rich media experiences, such as 3D product models and AR previews. Optimizing for these features can significantly boost engagement and conversion rates.

Preparing for the Future of AI Search

Currently 0.17% of the average website’s traffic comes from AI chatbots. The shift to AI-driven search means that brands must stay agile. Whether optimizing for traditional search engines or AI-powered marketplace algorithms, businesses must focus on making their content dynamic, structured, and personalized.

Immediate Steps to Take:

1. Audit structured data to ensure it’s accessible to AI crawlers.

2. Invest in AI-driven analytics to monitor performance trends and adjust strategies accordingly.

3. Leverage first-party data to create personalized shopping experiences.

4. Adopt AI-powered content tools to enhance product listings dynamically.

5. Monitor emerging AI search technologies to stay ahead of the competition.

AI is fundamentally changing how search works both inside and outside of marketplaces. Brands that embrace this evolution will thrive, while those clinging to outdated SEO strategies risk fading into obscurity. The future of search is AI-first—are you ready?

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• Exactly which campaigns to create and in what order based on the stage of your Amazon brand and your product type.

• Exactly how to optimize all of your campaigns without taking hours per week.

• What to do with your existing campaigns to improve your Ad performance without messing with the sales you’re already getting.

• What to bid, how to adjust bids, and how often to adjust bids.

• How to get clicks at ½ the cost you’re currently paying using creative.

• What your breakdown of ad spend should be based on your current lifecycle stage, category CTR, and buyer type.

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🎞️ CREATE HIGH CONVERTING AMAZON INFOGRAPHICS

Infographics are essential for Amazon listings as they make complex information digestible, enhance brand recognition, and boost conversions.

Here’s a streamlined guide on how to create compelling infographics for your product pages.

Benefits of Infographics for Amazon Listings

• Enhances Product Understanding: Quickly conveys product benefits and features.

• Boosts Conversion Rates: Helps potential buyers make informed purchasing decisions.

• Increases Brand Awareness: Uses consistent branding to make your product stand out.

• Improves SEO & Engagement: Well-designed infographics can increase dwell time and conversions.

Infographic Specifications for Amazon

• Resolution: 2000 x 2000 pixels minimum for high-quality display.

• Format: JPEG or PNG with a white background.

• File Size: Keep under 10MB for optimal loading.

• Readable Font Size: Ensure text remains legible on mobile and desktop screens.

• Minimal Text: Use short, direct statements and bullet points.

• Branding Elements: Consistent colors, logos, and typography to match your brand identity.

• Optimized Layout: Ensure a clear visual hierarchy with easy-to-follow sections.

• Call to Action: Encourage buyers to make a purchase, sign up, or engage further.

• Image Stack Location: Your second image is one of the best places for an infographic on Amazon

Steps to Create an Infographic for Amazon Listings

1. Define Your Goal & Target Audience

   • Who is your customer?

   • What pain points does your product solve?

2. Gather & Structure Information

   • Focus on the top 5 key benefits of your product.

   • Use reliable data to highlight product advantages (e.g., scientific studies, comparisons).

3. Sketch the Layout

   • Plan the design with a balanced mix of text, icons, and product images.

   • Use a storytelling approach to guide customers logically through the information.

4. Write Concise & Engaging Copy

   • Use short, benefit-driven statements.

   • Avoid clutter—stick to 3-5 words per line when possible.

5. Design the Infographic

   • Use high-quality visuals, icons, and branding elements.

   • Highlight key features using contrasting colors.

   • Ensure it remains mobile-friendly as 75%+ of Amazon traffic is on mobile.

6. Proof & Revise

   • Check for readability and visual clarity.

   • Ensure compliance with Amazon’s image and content policies.

7. Optimize for Load Speed

   • Compress images using tools like TinyPNG or export them in WebP format.

8. Test & Refine

   • Conduct A/B testing with variations of your infographic to see what drives higher conversions.

Infographic Design Tips for Maximum Impact

✅ Focus on One Key Idea Per Section
✅ Use a Strong Visual Hierarchy (Bold Headings & Icons)
✅ Maintain Brand Consistency (Colors, Fonts, Logo Placement)
✅ Optimize for Mobile Viewing
✅ Use White Space to Prevent Clutter

Recommended Tools for Creating Amazon Infographics

1. Canva – User-friendly with Amazon-ready templates.

2. Adobe Illustrator – Advanced vector design for detailed infographics.

3. Visme – AI-assisted design with data visualization tools.

4. Piktochart – Drag-and-drop infographic maker ideal for Amazon sellers.

5. Easel.ly – Great for quick infographic creation with pre-built templates.

6. Venngage – Over 10,000 templates with easy customization.

7. Infogram – Best for interactive infographics and clickable elements.

8. ChartBlocks – Converts spreadsheets into visually appealing charts.

9. Snappa – Quick design tool with royalty-free images and templates.

📋 MAX RELEASES HIS 365 HACKS MASTER LIST

Max Sigurdson-Scott from Selling from the Beach has made his entire 365 Hack Masterlist available to download at now charge for BDSN subscribers.

Here are 8 of his favorite hacks in the guide (in no particular order):

1. Eight Secondary Image "font" rules

2. Chinese sellers are killing us

3. Amazon business P&L benchmarks

4. Category-specific "Deadzones"

5. Never fall to 4.2 review rating

6. Do you have SnS Tire-kickers?

7. Storefront KPIs no one talks about

8. Amazon's "Super Reps" are simply awesome

✌🏼 Have a great weekend.

Holler at you again Monday.

The answer to today’s STUMP BEZOS is
Instagram gets an average organic reach of 4%