Amazon Marketing Cloud has always held the data that explains why your ads are actually working or not. Attribution across DSP and Sponsored Ads. New-to-brand rates. Frequency curves. Full path to purchase. The problem was always access. You needed SQL expertise and hours of query development to get any of it. That barrier is gone.

In this episode, I cover what AMC via Amazon's MCP server actually unlocks for your advertising decisions now that it's in open beta. You can ask plain English questions inside Claude and get answers back directly from your AMC instance. Which campaigns drive first-touch engagement for new-to-brand customers. How many touchpoints happen before conversion. Which DSP campaigns are influencing purchases that Seller Central credits to something else entirely.

I also walk through audience building without a data team. Cart abandoners who added in the last 14 days versus three months ago are completely different targeting propositions, and AMC lets you slice that properly through natural language instead of SQL. Plus the strategic questions most brands have never thought to ask: the overlap between your paid audiences and organic shoppers, the correlation between ad spend and BSR movement, and where you're double-serving the same customer across channels.

I'm also direct about what this doesn't do. It removes the execution barrier. It doesn't replace the judgment that determines what to execute. The insight gap is still on you.

The data has been sitting there for years. Now you can actually use it.

#AmazonAds #AMC #AmazonMarketingCloud #AmazonDSP #AmazonPPC #AmazonAdvertising #AmazonMCP #AmazonFBA #AmazonSeller #PPCStrategy #DSPAdvertising #AmazonAttribution #EcommerceStrategy #AmazonData #DigitalAdvertising

Over three weeks, 11 different AI systems crawled our website 10,932 times. Google Analytics reported essentially none of it. This isn't a GA4 bug. It's architecture. AI bots don't execute JavaScript. They never trigger the tracking script. Every crawl from ChatGPT, ClaudeBot, Meta AI, Amazon Q is completely invisible to standard analytics.

In this episode, I walk through our actual BotSight report from February 24 to March 16, 2026. Real data from our own site. You'll see which AI systems are crawling, how often they return, which pages they're targeting, and what that tells you about where AI search is heading.

The numbers were surprising. 47 AI visits for every human click. ClaudeBot up 107%. Meta AI now the second most active crawler. SearchGPT up 833% in a single week. And the conversion data changes everything: AI referral traffic converts at 4 to 15 times the rate of organic search because those visitors arrive already convinced. They've been prequalified by the AI answer before they ever hit your site.

I also cover the difference between being crawled and being cited, why recall frequency matters more than raw hit count, and what your top crawled pages are really telling you about your AI content strategy.

This is server-side tracking, not GA4. A fundamentally different layer of data. Once you understand what you've been missing, you can't unsee it.

#AISearch #AIVisibility #GoogleAnalytics #GA4 #AIBots #ChatGPT #ClaudeBot #MetaAI #SearchGPT #ServerSideTracking #EcommerceMarketing #DigitalMarketing #AITraffic #BotSight #SEO

Google's Universal Commerce Protocol is live. But there's one product-level attribute that decides whether your products get a Buy button in AI Mode, and most brands have never heard of it.

In this episode, I break down exactly what the native_commerce attribute is, how the AI mode checkout flow works, and what happens when the attribute is missing from your product data. I walk through the fix using a supplemental feed, why you must not edit your primary feed to do this, and how to start with your top 20% of products to test safely.

I also cover the hidden dependency beyond Google that most sellers miss entirely. Your payment provider might be quietly blocking you from UCP checkout through something called the Agent Payment Protocol. There are three layers in the chain that all need to be connected before AI can complete a purchase for your product.

This matters now because 83% of ChatGPT shopping results come from Google's product data. OpenAI's native checkout failed after five months. The commerce layer that survived runs through Google. If you're selling on Google and you haven't set this up yet, your competitors who have are getting Buy buttons in AI answers and you're not.

Three action items by the end of the week. This episode gives you all three.

#GoogleAds #UCP #AICommerce #GoogleShopping #MerchantCenter #AISearch #EcommerceStrategy #GoogleAI #AIMode #DigitalMarketing #Ecommerce #ProductData #ShoppingAds #ClearAds #AICheckout