👀 YOUR PRODUCT CONTENT is FAILING the BOT TEST

There's a good chance your products are invisible to ChatGPT, Perplexity, and other AI search engines, even if you think you've "optimized for SEO."

The problem? These AI engines don't read product pages like Google does. They're creating product cards and matching (or "canonicalizing") your offers against a master catalog.

Get your product title even slightly wrong, and you're either showing the wrong product at the wrong price, or you're completely invisible.

Here's what you need to do this weekend to fix it.

Audit Your Basic Product Content (The Foundation)

Before AI engines will even consider showing your products, you need the fundamentals in place. Check every product for these:

✓ Essential fields that AI engines require:

• Hero image + full product gallery

• Product title AND subtitle

• Current price (with any discounts clearly marked)

• Special offers (BOGO, promo codes, free shipping thresholds)

• Shipping timeframes

• Short description (3-4 sentences max)

• Long description (detailed specs, use cases, materials)

Action item: Create a spreadsheet. List your top 20 SKUs. Mark which ones are missing any of these fields. Fix the gaps by Monday.

Add Maximum Context (AI Engines Are Hungry)

Unlike your website where you worry about overwhelming customers, AI search engines want everything. ChatGPT's Instant Checkout specs show you can send massive amounts of data, so use it all.

What to add to your product feeds:

• Full technical specifications (dimensions, weight, materials, compatibility)

• Use cases and applications

• Care instructions

• Warranty information

• Country of origin

• Certifications (organic, fair trade, etc.)

• Size charts and fit information

Action item: Pick 5 hero products. Write out every possible detail about them, even things you'd never put on your PDP. Add this to your product feed or structured data.

Master Canonicalization (This Is Where You're Losing Money)

This is the killer. AI engines try to match your product to a "master" version using your title. Get it wrong, and you either:

1. Don't show up at all

2. Show up on the wrong product card with the wrong specs

The reverse-engineering method:

1. Search your product on ChatGPT and Perplexity exactly as a customer would

2. Look at the product card title they've created

3. Compare it to YOUR product title in your feed

4. Identify the differences (extra words? Missing spaces? Different word order?)

Real example:

• Your title: "Selkirk SLK Omega Hybrid Max Pickleball Paddle"

• ChatGPT's card: "Selkirk SLK Omega HybridMax"

• You're invisible because "Hybrid Max" (two words) ≠ "HybridMax" (one word)

Action item: Test your top 10 products on ChatGPT and Perplexity today. Document every title mismatch. Create a prioritized fix list.

Build Platform-Specific Feeds

Here's the uncomfortable truth: You can't have one universal product feed anymore. Each AI engine canonicalizes differently.

For ChatGPT:

• Match their exact title format (even if it means removing words like "Pickleball Paddle")

• Strip extra descriptors that aren't in their catalog

• Test: Does your feed title exactly match their product card?

For Perplexity:

• They're often more lenient with spacing and extra words

• Keep fuller titles with category descriptors

• Test: Are you showing up with complete information?

Action item: Create separate feed files in your Shopify or WordPress setup:

• feed-chatgpt.xml

• feed-perplexity.xml

• feed-default.xml

Use feed customization apps like AdNabu, GoDataFeed, or custom scripts to create these variants.

AI search optimization isn't SEO 2.0. It's a completely different game. These engines don't care about your keyword density or meta descriptions. They care about:

• Structured, complete data

• Exact title matching for canonicalization

• Maximum context in your feeds

The sellers who figure this out now will own the AI search traffic for the next 2-3 years. The ones who treat it like traditional SEO will wonder why they're invisible.

Start this week. Test your products. Fix your titles. Build your feeds.

The bots are shopping. Make sure they can find you.

🔭 YOU GOTTA SEE THIS

Only 1% of Brands Are Ready for AI Search ...

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🚢  99.7% of E-COMMERCE SELLERS are MISSING THIS

Here's a statistic that should make every e-commerce seller sit up and take notice: only 0.03% of websites have implemented speakable schema markup.

That's right, less than one in three thousand sites are optimized for what's rapidly becoming one the major drivers of online shopping.

Over 8.4 billion voice assistants are now active globally. That's more devices than there are people on Earth. 65% of people aged 25-49 speak to their voice-enabled devices at least once per day, and 61% say they'll use them even more in the future.

While consumers are embracing voice technology at breakneck speed, the vast majority of online sellers haven't even started preparing for this shift.

Voice Shopping Is Already a Multi-Billion Dollar Reality

If you think voice search is just about asking for weather updates and trivia, think again. Voice commerce is projected to reach $45 billion by 2028, up from $3.3 billion today. That's a 13x increase in just a few years.

The numbers tell a compelling story about consumer behavior:

Up to 43% of voice-enabled device owners use their devices to shop. This isn't a niche demographic, it spans all age groups.

51% of voice shoppers use it to research products, with 22% making purchases directly through voice and 17% using it to reorder items. The entire purchase journey, from discovery to checkout, is happening via voice.

11.5% of smart speaker owners make purchases by voice monthly, which translates to nearly 5.5 million US adults making regular voice purchases. These are your potential customers right now.

The Technical Side (Without Getting Too Technical)

So what exactly is speakable schema, and why should you care?

Speakable schema is a type of structured data markup that tells voice assistants which parts of your web pages are especially appropriate for text-to-speech conversion. Think of it as highlighting the sections of your product pages, blog posts, and other content that should be read aloud when someone asks their voice assistant a relevant question.

When you implement speakable schema, you're essentially raising your hand and saying, "Hey Google Assistant or Alexa, when someone asks about [your product or category], here's the exact information you should read to them."

The beauty is that you're already competing for traditional search and answer engine rankings. Speakable schema gives you a second channel to reach customers, one that 99.97% of your competitors haven't tapped into yet.

Steps to Optimize Your E-Commerce Brand for Voice

You don't need to be a technical wizard to start optimizing for voice search. Here are actionable steps any e-commerce seller can take:

1. Optimize Your Product Descriptions for Spoken Queries

Voice searches are longer and more conversational than typed searches. People don't say "best running shoes men," they say "what are the best running shoes for men with flat feet?" Update your product pages and blog content to answer these natural-language questions.

2. Focus on Question-Based Content

Nearly 20% of all voice search queries are triggered by just 25 keywords, most of which are question words like "how," "what," and "best." Create FAQ sections, buying guides, and "how-to" content that directly answers common customer questions about your products.

3. Implement Speakable Schema on Key Pages

Start with your most important content: product pages for bestsellers, category pages, and FAQ content. Mark the sections that provide clear, concise answers (aim for 20-30 seconds of speaking time, or about 2-3 sentences). Use tools like Google's Structured Data Markup Helper if you're not comfortable with code.

4. Mine Your Customer Service Emails

Analyze the questions customers ask when they contact your business. These real-world queries are exactly what people are asking voice assistants. Add these questions (and clear answers) to your website to improve both traditional SEO and voice search optimization.

5. Write Like You Talk

Voice search results favor content that sounds natural when read aloud. Avoid jargon, overly complex sentences, and dense blocks of text. Keep your language conversational and your key points clear.

6. Test Your Content Out Loud

Literally read your product descriptions and FAQ answers out loud. If they sound awkward or unnatural, rewrite them. Better yet, test them with an actual AI voice assistant to hear how they sound when read by AI.

The Early-Mover Advantage

Here's the thing about being in that 0.03%: you're not just implementing a technical feature. You're positioning your brand to be the answer when millions of people ask their voice assistants about your product category.

Voice shopping is already a $3.3 billion market heading toward $45 billion. Up to 43% of device owners are using voice to shop. And yet, almost no one has optimized for this reality.

In the early days of traditional SEO, the brands that moved first gained advantages that still pay dividends today. Voice search represents a similar opportunity. The technical implementation isn't particularly complex, but the timing is everything.

Your competitors will eventually figure this out. The question is: will you be capturing voice commerce sales for months or years before they do, or will you be playing catch-up?

✌🏼 Have a great weekend.

See you again on Monday.

The answer to today’s STUMP BEZOS is
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