AI shopping agents could reshape how pet parents choose products
Bottom line
Version 1
AI agents are moving from product discovery into the purchase path for pet products, and that shift could change how pet parents find, compare, and eventually buy items online. In a recent Pet Age commentary, Glenn Polyn frames the issue through the “Ellsberg Paradox,” arguing that consumers may prefer familiar risks over unfamiliar ones even when both carry downsides, a useful lens for understanding why AI-assisted shopping may advance faster than trust in it. Broader retail research supports that tension: consumers are increasingly using AI for product research, but confidence drops when the technology gets closer to making or completing the purchase itself. Gartner said consumers find AI summaries more useful early in shopping than at the final purchase stage, while Forrester reported that only 24% of U.S. online adults in March 2025 trusted AI agents to make routine purchases on their behalf. (gartner.com)
Why it matters: For veterinary professionals, this is less about retail novelty and more about who shapes pet parent decisions before a clinic conversation ever starts. If AI agents become a common front door for nutrition, supplements, preventive products, and wellness recommendations, brands with clearer data, better digital content, and stronger trust signals may gain visibility first. That could affect how pet parents arrive at appointments, what claims they’ve already seen, and how much education veterinary teams need to do to correct incomplete, biased, or commercially steered recommendations. Pet industry coverage already points to conversational, hyper-personalized search replacing traditional keyword discovery, and Consumer Reports has flagged “agentic commerce” as a growing trust challenge as AI tools move from research into decision-making and transactions. (petfoodindustry.com)
What to watch: Watch for pet brands, retailers, and platforms to invest less in traditional search tactics and more in structured product information, trust signals, and AI-readable content as agent-mediated shopping matures. (bain.com)
Version 2
AI is starting to influence not just how pet parents discover products, but how they evaluate and potentially buy them. That’s the premise behind Glenn Polyn’s recent Pet Age commentary, which uses the Ellsberg Paradox, the well-known idea that people often prefer known risks over unknown ones, to describe a pet marketplace where AI agents are increasingly guiding purchase decisions. In practice, the argument lands at a moment when retail broadly is shifting toward “agentic commerce,” with AI tools helping consumers research, compare, and in some cases move toward checkout. (innovation.consumerreports.org)
The backdrop is a larger change in digital shopping behavior. Bain reported in late 2025 that 30% to 45% of U.S. consumers were already using generative AI for product research and comparison, while NRF’s 2026 consumer research found 41% using AI assistants to research products, 33% to look for reviews, and 31% to search for deals. At the same time, the trust gap remains significant. Forrester found only 24% of U.S. online adults trusted AI agents to make routine purchases on their behalf, and Gartner reported that perceived usefulness of AI-generated shopping help declines as consumers move from exploration to final purchase decisions. (bain.com)
That tension matters in the pet sector because the category already depends heavily on trust, repeat purchasing, and high-information decisions. Pet industry reporting over the past year has shown companies experimenting with AI in marketing, audience segmentation, personalized messaging, packaging, and conversational product support, but generally with a cautious posture. Petfood Industry reported in September 2025 that many pet food marketers were still in planning phases rather than full deployment, and more recent coverage described conversational, hyper-personalized search as an emerging filter that could determine which brands are even seen by consumers in the first place. (petfoodindustry.com)
There’s also a practical reason the Pet Age thesis resonates: AI may become a gatekeeper before a pet parent ever reaches a veterinarian, retailer, or brand representative. If an AI assistant summarizes ingredients, compares claims, recommends formats, or prioritizes products based on available digital signals, then product pages, reviews, feeding guidance, and evidence claims all become part of a machine-mediated decision environment. Research on agentic e-commerce suggests sellers may even adapt listings specifically to appeal to AI “buyers,” raising questions about whether visibility will favor the most clinically sound products, the most digitally optimized ones, or the ones with the strongest commercial ecosystems. (arxiv.org)
Industry and consumer research suggests the next battle is trust, not just capability. Consumer Reports has said it is actively working on trust signals, payment protocols, and research collaborations around agentic commerce, reflecting concern about whether AI tools will reliably act in consumers’ interests. Gartner’s 2025 survey found that 53% of consumers distrusted AI-powered search results, and Clutch reported in January 2026 that while 65% of consumers use AI to research products, only 17% generally trust AI recommendations without verification. Those findings line up closely with Polyn’s framing: familiarity with a system doesn’t necessarily make it benign, but unfamiliarity still shapes how people judge risk. (innovation.consumerreports.org)
Why it matters: For veterinary professionals, the bigger issue is influence upstream of care. Pet parents may increasingly arrive with AI-shaped beliefs about diets, supplements, dermatology products, dental chews, behavior aids, or preventive care tools. That could create new counseling burdens, especially when AI systems flatten nuance, over-weight marketing claims, or miss patient-specific factors such as comorbidities, life stage, breed risks, or drug interactions. It also raises a competitive and ethical question for veterinary-adjacent companies: whether they are building transparent, evidence-based information ecosystems that AI can interpret accurately, or simply optimizing for machine visibility. In a category where trust and health claims intersect, that distinction matters. (petfoodprocessing.net)
The likely near-term outcome isn’t fully autonomous pet product purchasing, but a hybrid model in which AI handles more of the discovery and comparison work while humans retain final authority. Bain said consumers currently trust retailers’ on-site agents more than third-party agents, suggesting that where the AI interaction happens may matter almost as much as what it recommends. For veterinary teams, that means monitoring not only the products pet parents ask about, but the channels and AI tools shaping those questions. (bain.com)
What to watch: Expect more pet brands and retailers to rework product data, reviews, educational content, and recommendation systems for AI-mediated discovery, while trust, transparency, and evidence quality become the main points of differentiation. (petfoodindustry.com)