Stephen Honight

@fieldsofprofit Complex systems fail when they're not connected to what actually sells. YouTube seller wins because they're testing products, not optimizing processes. Systems follow revenue, not the other way.

One Amazon seller spent days building out complex AI systems for managing their business & setting up all their bookkeeping The other seller watched a YouTube video and simply started buying stuff It's pretty obvious which is going to win the race to actually making money

perplexity's Comet agent lets users ask for products on Amazon adn buy inside the bot. The merchant no longer controls teh shelf. AI agents do. Brand visibility and presentation now happen in a place you dont own.

@AICommerceGuy_ The real problem is deeper. Brands can't see agent decision trees either. You dont know if your product lost on price, relevance, or because the agent never surfaced it. That's the visibility gap that matters.

Two unsolved problems in agentic commerce. and what you can actually do about them today. Problem 1: how does a mid-market brand know if an AI agent even considered them before recommending a competitor? there's no "impression" metric. no "we showed your product but the user didn't click." the brand just doesn't exist in the conversation and never finds out. the sale goes elsewhere and your dashboard shows nothing. Problem 2: when an agent misrepresents your product, who do you contact? there's no support ticket. no takedown request. no correction flow. the AI just says the wrong thing about you to thousands of buyers and you have no recourse. no flagging system. no merchant portal. nothing. Google built UCP with Walmart, Target, Best Buy, and Home Depot at the table. openai launched ACP with Glossier, SKIMS, and Vuori. only 30 Shopify merchants made it onto Instant Checkout before the pivot. the protocols were designed with the biggest brands in the room. the mid-market wasn't invited. but here's the thing. you don't need a seat at the protocol table to start fixing what's in your control right now. Fix 1: make your product data machine-readable.JSON-LD schema on every product page. name, price, availability, brand, GTIN, shipping, returns, reviews. every empty field is a reason the agent picks someone else. stores with near-complete attribute coverage see 3-4x higher AI visibility. this is the single highest-impact fix. Fix 2: make your policies extractable.return windows, shipping timelines, warranty terms, compatibility info. if these live in a PDF or behind a JavaScript tab, agents can't read them. structure them as machine-readable fields. agents skip offers when delivery or return terms are unclear. the customer never knows you were dropped. Fix 3: sync your data across every surface.your site, Amazon, Google Merchant Center, review platforms. if the price is $49.99 in one place and $52 in another, the agent loses confidence. mismatches don't confuse AI. they disqualify you. Fix 4: check if AI crawlers can even access your site.go to your robots.txt right now. if you're blocking GPTBot, ClaudeBot, or PerplexityBot, your products are invisible to those engines. 63% of ChatGPT agent visits bounce immediately because of HTTP errors, redirects, CAPTCHAs, or bot blocking. you might be paying to be invisible. Fix 5: build your review engine. AI agents weigh social proof heavily. volume, recency, and sentiment all count. automate post-purchase review requests 7-14 days after delivery. products with 200+ recent reviews get recommended at significantly higher rates than those with under 50. Fix 6: enroll in merchant programs. Google UCP waitlist is open. OpenAI ACP is onboarding Shopify merchants. Microsoft Copilot uses the same ACP protocol. if you're on Shopify, most of this is being built natively into your admin. you don't need to be Walmart to get started. Fix 7: run a weekly AI visibility check. ask ChatGPT, Perplexity, and Gemini to recommend products in your category. log who shows up. log who doesn't. ask constraint questions: "which [category] ships in 3 days with free returns?" if you're not in the answer, now you know where to start. the infrastructure gap between enterprise and mid-market is real. the monitoring tools don't exist yet. the dispute flows don't exist yet. the feedback loops don't exist yet. but the product data fixes? those are in your hands today. and they determine whether AI agents can find you, trust you, and recommend you. the brands doing this boring work right now will be the defaults when the infrastructure catches up. the ones waiting for someone to build the perfect tool will wonder where their traffic went.

ChatGPT's Instant Checkout means shopping agents now convert inside the chat. Brands invisible in ChatGPT Shopping aren't just missing discovery. They're missing closed loops.

4% of ecommerce searches now show Google AI Overviews. Thats up form 29% when they first launched. The coverage gap is real and its widening by category.

we're seeing brands track ai visibility but skip the setup. most dont know where they show or dont show across chatgpt perplexity rufus. thats the first problem to solve.

Your listings are optimized for keyword match. Rufus is having conversations. Your product copy either answers the question or it doesn't get recommended.

share of voice is teh new rank position. you cant see it on a results page but your competitors are visible everywhere else. monitoring it matters now.

AI Overviews hit 70% of B2B tech queries. For ecommerce brands selling into that space, invisibility in Google's summary is invisibility to buyers.

rufus is now handling 15-20% of amazon shopper queries. thats not a test phase anymore. its the discovery layer.

most ecommerce brands dont know where theyre invisible in AI search. We'll show you exactly where and why. 30 min clarity call. lmo7.com/?utm_source=x&…

We're seeing brands win in AI search fall into one pattern: structured product content plus authoritative third-party citations. Generic listings and press releases lose immediately.

@connected2evry1 The harder part: zero-click doesn't just steal clicks. It changes what "searchable" means. Your content has to work for AI extraction, not just human reading. Totally different optimization.

The issue usually isn’t your site—it’s zero-click search. 👇👇👇👇👇👇👇👇👇👇👇👇 Local packs, AI Overviews, and featured snippets can answer the question on Google’s results page… and the searcher moves on before anyone visits.

“Nearly 60% of Google searches now end without a click.”

reddit is writing your brand story across ChatGPT and Perplexity right now. Your analytics dashboard doesnt see it. 97% of DTC brands have no visibility into whats being said.

When the top brand in an AI category captures 62% of visibility, being second means you're fighting for scraps. Most ecommerce brands still optimize for Google. Wrong game now.

Amazon Rufus now handling 15-20% of shopper queries. 300 million users showing 60% higher purchase rates. Thats not a feature anymore. Its teh primary discovery layer.

@stanventures The shift from rankings to pre-click visibility changes what success looks like. You can rank #1 and still lose to an AI Overview that answers the question on the results page.

Most brands are still chasing rankings. The smartest ones are chasing visibility before the click. Zero-click search is not a trend anymore. It is the new normal. People are getting answers from AI, Reddit threads, and summaries without ever visiting your website. That means your SEO strategy is no longer just about ranking. It is about being trusted across platforms. In this episode, we unpack what is actually changing: • Why ranking #1 does not guarantee traffic anymore • How AI search is influencing decisions before users click • Why brand clarity is now a competitive advantage • The shift from SEO to full ecosystem visibility If you work in SEO, marketing, or brand strategy, this is worth your time. Because today, the real win is not traffic. It is being chosen early. Watch the full episode. Link in comments.

we're seeing brands win AI shelf space when they stop treating product data as a spreadsheet problem and start treating it as a visibility infrastructure. most dont.

Your listings are optimized for keywords. Rufus reads for meaning. Your product data is incomplete or inconsistent. Your competitors are already fixing this.

schema markup pages are 3.2x more likely to appear in Google AI Overviews. your product data isnt just for humans anymore. its the unit of competition.