A customer walks in asking for a specific joint supplement you don't carry. She didn't get the rec from her vet or a Facebook group. She asked ChatGPT, and it sent her to Chewy. You're losing the sale before the door opens.
Here's what just happened
Traffic from AI platforms to U.S. retailer websites shot up 393% year-over-year in January-March 2026, according to an Adobe Analytics study. Pet parents aren't just Googling anymore. They're asking Claude, ChatGPT, and Copilot what to buy, and those tools are delivering curated answers instead of a list of links to click through. The platforms are powered by large language models (LLMs) trained on massive amounts of text, and they synthesize that information into conversational-style responses. Picture a personal assistant who never sleeps and defaults to whoever has the cleanest product data and fastest shipping.
Why this is actually a big deal
This isn't another channel to monitor. It's the interception of purchase intent before the customer ever thinks about walking into your store. Shoppers using AI have a 12% higher engagement rate on retail sites and spend 48% more time there, compared to visitors who aren't searching with AI, the Adobe study found. That means when an AI tool recommends a retailer, the customer shows up ready to buy, not browse. If your catalog isn't machine-readable, you're not in the consideration set, and you won't know until foot traffic drops.
The shift compounds other pressures already reshaping the channel. According to a McKinsey & Co. and ICSC report, consumers prize transparency and convenience, clear pricing, friction-free transactions, dependable inventory, and conditioned by years of one-click purchases and free overnight shipping, they want it five minutes ago. Gen Zers and younger Millennials have greater spending power, and their digital fluency often leads them to prefer online shopping. AI search accelerates that preference by making online the path of least resistance.
What this means for the shelf
For the store owner: If your website isn't AI-friendly, meaning those LLM bots can't crawl and parse your product catalog, you're invisible when a pet parent asks an AI tool what to buy. The payoff for fixing this can be significant: the Adobe study found that AI-driven visitors engage more and stay longer. Start by making your business website structured and readable for AI platforms. That means clean product descriptions, consistent formatting, and metadata that an LLM can actually parse.
For the buyer: AI tools are creating demand for SKUs you'd never stock based on last year's sales data. A customer walks in asking for a long-tail supplement or a niche toy because ChatGPT told them it's the best option for their dog's specific issue. Miss that SKU and you send them to Amazon mid-aisle. The counter-move: use AI-powered inventory management to predict and stock the products AI platforms are recommending. According to market research firm Worldmetrics, 75% of pet retailers who use AI-based inventory management reduce overstock by 20% and stockouts by 15%. That's not just efficiency, it's a margin advantage.
For the brand/DTC operator: Retailers who can't surface your products in AI-driven searches won't move units, even if you're on their shelf. Your packaging copy needs to become your API. Make sure your product data, ingredients, benefits, use cases, is structured, accurate, and widely available online. If an LLM can't find it, it won't recommend it.
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How we're thinking about it
The reflex is to treat AI search like SEO 2.0, another optimization checklist to hand off to whoever runs your website. That misses the point. AI isn't just changing how customers find you. It's changing what they expect when they arrive. They show up with a specific product in mind, a use case they've already articulated to a chatbot, and zero patience for "we don't carry that." The stores that win this shift are the ones that can validate or redirect that AI-generated rec on the floor, not just show up in the search result.
We're also watching the gap open between early adopters and everyone else. The retailers using AI-powered analytics and inventory tools are stocking the long-tail SKUs that AI platforms recommend, while competitors are still buying on gut feel and last quarter's sales data. That gap compounds fast. Once a customer trusts an AI tool for pet product recs, they stop asking you.
If your catalog isn't machine-readable, you're not in the consideration set when pet parents ask AI what to buy, and you won't know until foot traffic drops.
The other piece we'd flag: AI can handle the operational heavy lifting, inventory prediction, customer support chatbots, automated email campaigns, but it can't replicate the warmth and genuine connection that the pet industry is built on. Pet parents may demand convenience, but they crave authenticity. Whether it's in store, online, or on social media, they want to see your expertise and your passion for pets shine through. That's something AI can never replicate. The stores that lean into that human advantage while using AI to handle the back-office work are the ones that turn this shift into a growth opportunity.
What to do about it
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If you're just starting to think about AI in your business... make your website AI-friendly this quarter. Clean up product descriptions, add structured metadata, and ensure LLM bots can crawl your catalog. The World Pet Association's SUPERZOO 2026 education program includes a session called Fix My Website: A Hands-On SEO Workshop to Drive More Traffic and Sales, which explores optimizing your website for LLM readability.
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If you already have an AI workflow... expand it to inventory management. Pick one AI-powered analytics or forecasting platform and use it to predict which long-tail SKUs AI tools are recommending. Stock them before your competitor does. If you're new to AI systems, focus on one area such as analytics or customer support so you're not overwhelmed.
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If you run a team of more than 10... train your staff to spot when a customer is following an AI rec and how to validate or redirect it. This is the new product knowledge. Teach your team to ask, "Where did you hear about this product?" and use the answer to either confirm the rec or offer a better alternative you actually stock.
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Create a focused mission statement if you don't already have one. What can you deliver that makes your store stand out? Maybe you carry live animals, or specialize in sustainable pet care products and services. You can also use data analytics to track your customers' preferences and tailor experiences that meet their needs. You don't have to use the same playbook to beat giant digital retailers at their own game. Focus on what you can provide that they can't: a unique in-person experience.
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Always review any AI content before it goes out to customers to ensure it meets ethical use standards and your store's values. Double-check for accuracy. AI is many things, but infallible isn't one of them. This builds your credibility, authority, and trustworthiness.
The Bottom Line
AI is intercepting purchase intent before customers reach your store, and the window to adapt is short. Make your catalog machine-readable, stock the SKUs AI tools recommend, and train your team to validate what the chatbot said.