{"id":348753,"date":"2026-06-10T19:59:52","date_gmt":"2026-06-10T14:29:52","guid":{"rendered":"https:\/\/ebiztoday.news\/?p=348753"},"modified":"2026-06-10T19:59:53","modified_gmt":"2026-06-10T14:29:53","slug":"how-commerce-changes-when-ai-becomes-the-buyer","status":"publish","type":"post","link":"https:\/\/ebiztoday.news\/index.php\/2026\/06\/10\/how-commerce-changes-when-ai-becomes-the-buyer\/","title":{"rendered":"How Commerce Changes When AI Becomes the Buyer"},"content":{"rendered":"<p><\/p>\n<div>\n<p>AI agents are moving beyond assisting with purchases to creating them, raising recent questions on trust, marketing, procurement, and customer experience in each B2C and B2B commerce.<\/p>\n<p>As AI takes a more lively role in purchasing decisions, company leaders must answer vital questions on how they need to rethink generative engine optimization (GEO) strategies and what their marketing teams should prioritize when creating content that resonates with AI buyers.<\/p>\n<p>The shift toward autonomous AI buyers requires businesses to rethink how the standard marketing funnel functions when the decision-maker is an algorithm moderately than a human.<\/p>\n<p>Matt McGinnis, VP of product, industry, and solution marketing at <a href=\"https:\/\/www.five9.com\" target=\"_blank\" rel=\"noopener\">Five9<\/a>, an AI-powered customer experience (CX) solutions platform, is worried concerning the broader implications of AI taking up the role of the client and what it means for businesses moving forward.<\/p>\n<p>Over time, Five9 expects enterprises to deploy negotiation-aware AI agents that represent the vendor\u2019s interests when interacting with autonomous buyer-side AI agents. As AI begins participating directly in procurement, firms will need intelligent systems that may dynamically protect margins, implement policy guardrails, preserve brand positioning, and optimize business outcomes in real time.<\/p>\n<p>Nonetheless, McGinnis cautioned that the long-term opportunity extends beyond AI negotiating against AI. The market is moving toward trusted orchestration frameworks where enterprises balance automation with governance, transparency, and business intent.<\/p>\n<p>Five9\u2019s broader agentic CX vision is AI systems that may reason, adapt, and take motion while still operating inside enterprise-defined trust and governance controls. In that world, successful firms is not going to just deploy aggressive optimization agents.<\/p>\n<p>\u201cThey&#8217;ll deploy AI systems that understand customer context, business objectives, compliance requirements, escalation thresholds, and relationship value while enabling intelligent automation without reducing every interaction to a price cutting war,\u201d he told the E-Commerce Times.<\/p>\n<h3>Trust Stays a Barrier to Full Buying Autonomy<\/h3>\n<p>McGinnis says no. In his view, giving AI agents that much purchasing power comes all the way down to one word: trust. Businesses and consumers must understand what that involves. In practical terms, meaning the AI agent follows provided directions, performs the correct evaluation inside its parameters, and selects the suitable services or products at the suitable price, delivered on time.<\/p>\n<p>\u201cPurchasing is a posh series of information points and decisions that lead to taking an motion involving real dollars. That real dollar impact is the clearest measure of whether AI successfully performed the pre-purchase evaluation,\u201d he said.<\/p>\n<div class=\"text-center mb-3\">\n                    <!--ps: 39 crid: 11453:a-nice-q226-970x250-opexhbr cc:vn,th,id,iq s_c:11470,11463,11455,11453,11220 px:0--><\/p>\n<div class=\"cls-1781101791\">\n<div class=\"wa-ad-display-wrap wa-ads-39\" style=\"display: inline-block;\" data-adposition=\"39\" data-adname=\"ECT-STORY-1\" data-crid=\"11453\"><a href=\"\" onclick=\"ENN_ad_wo(11453,'17811017911756','29f2218c75'); return false; \"><\/a> <\/div>\n<\/p><\/div>\n<p> <!--\/ps: 39 crid: 11453:a-nice-q226-970x250-opexhbr cc:vn,th,id,iq --><\/div>\n<p>Effective automation requires that AI prompts, rules, and decision parameters be tested and refined over time. The important thing query is whether or not a selected purchase scenario is predictable enough to automate while reducing repetitive tasks for humans, he added.<\/p>\n<p>McGinnis offered this instance: In wholesale, AI may help trigger restocking when inventory is low, and buy velocity is rising, stopping stockouts inside defined parameters. But for a diamond supplier with inconsistent customer needs, automation could also be too dangerous, especially if purchasing mistakes leave costly inventory sitting idle for a while.<\/p>\n<p>\u201cUltimately, AI automation is circumstantial as trust is built to beat the danger of errors,\u201d he said.<\/p>\n<h3>Optimizing Commerce for AI Decision-Making<\/h3>\n<p>When AI agents act as buyers, the standard awareness-consideration-conversion funnel persists, but it is going to evolve to accommodate AI-driven purchasing behavior, in keeping with McGinnis. The funnel now requires optimization to support rapid data ingestion, evaluation, and decision-making by AI agents acting on buyers\u2019 behalf.<\/p>\n<p>He also sees the potential need for platform developers to standardize methods for selection and buying, comparable to a reinvented AI-native shopping cart process, to enable widespread adoption at scale.<\/p>\n<p>\u201cSEO has at all times required balancing content written for humans with content structured for machines. With GEO, the identical dynamic continues, but now content must even be optimized for AI systems to find, ingest, and act upon,\u201d he said.<\/p>\n<p>McGinnis noted that GEO is each a brand new science and an art that AI-empowered businesses must embrace to reach this emerging AI buyer paradigm.<\/p>\n<h3>Preparing Content for Human and AI Buyers<\/h3>\n<p>As AI optimization takes precedence, marketers will increasingly deal with ensuring AI buyers can understand a product\u2019s exact specifications. McGinnis predicted a greater emphasis on structured, high-density data formats designed for AI systems.<\/p>\n<p>\u201cNonetheless, one of the best practice would require a balance until we reach a majority of buying by AI. Humans remain the first buyers and decision-makers, meaning that visual marketing continues to play a very important role,\u201d he noted.<\/p>\n<div class=\"text-center mb-3\">\n                    <!--ps: 39 crid: 11453:a-nice-q226-970x250-opexhbr cc:vn,th,id,iq s_c:11470,11463,11455,11453,11220 px:0--><\/p>\n<div class=\"cls-1781101791\">\n<div class=\"wa-ad-display-wrap wa-ads-39\" style=\"display: inline-block;\" data-adposition=\"39\" data-adname=\"ECT-STORY-1\" data-crid=\"11453\"><a href=\"\" onclick=\"ENN_ad_wo(11453,'17811017916496','29f2218c75'); return false; \"><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/www.ectnews.com\/wp-content\/uploads\/sites\/6\/2026\/04\/nice-q226-970x250-opexhbr.jpg\" width=\"970\" height=\"250\" alt=\"Lead the AI experience at scale\"><\/a> <\/div>\n<\/p><\/div>\n<p> <!--\/ps: 39 crid: 11453:a-nice-q226-970x250-opexhbr cc:vn,th,id,iq --><\/div>\n<p>Within the near term, the best opportunity will probably be so as to add AI-optimized content to the purchasing process. This can make it easier for AI-driven buyers and agents to find and recommend products.<\/p>\n<p>Five9 sees a future wherein AI agent buyers develop into a major economic force. Customer support organizations, including expansion into the pre-purchase buyer phase, will develop into much more vital for firms like Five9 to service.<\/p>\n<p>On this recent era of customer experience, McGinnis envisions that human-to-human, human-to-AI, AI-to-human, and AI-to-AI interactions will all need support. This evolution is redefining how businesses engage, sell, and discover value.<\/p>\n<h3>Brand Loyalty Will Remain Key to AI Buyers<\/h3>\n<p>In accordance with McGinnis, brand trust will still matter within the age of AI. A brand represents a set of expectations. Humans depend on trusted brands to simplify purchasing decisions. AI systems are more likely to use brand credibility as considered one of several key decision variables.<\/p>\n<p>For instance, an engineering company that makes widgets to very tight tolerances can maintain a repute for excellence on this category. The AI agent buyer can likely assess the extent of trust to satisfy specific tolerance standards, alongside additional purchasing criteria which will inform the choice.<\/p>\n<p>\u201cIn that sense, what a brand stands for will remain highly relevant in future purchasing models,\u201d he suggested.<\/p>\n<h3>Guardrails Remain Vital to Guard Against Hallucinations<\/h3>\n<p>As autonomous buying increases, so does the danger of errors in high-speed, automated procurement. Businesses should implement safeguards to make sure their AI buyers don&#8217;t fall into hallucinated purchasing traps.<\/p>\n<p>Through the e-commerce shift throughout the dot-com era, consumer expectations around shipping speed, cost, and convenience forced an entire rethinking of logistics. Autonomous buyers would require an analogous evolution in how they manage procurement risk, in keeping with McGinnis.<\/p>\n<p>He recalled that buying and delivery weren&#8217;t as expected, so the industry introduced processes comparable to advanced return refunds, free returns, and 24\/7 customer support. E-commerce leaders quickly addressed procurement errors and maintained customer satisfaction.<\/p>\n<p>On this recent era of buying, businesses may have to revamp policies, improve product alternative processes, and refine methods for addressing AI procurement errors.<\/p>\n<p>\u201cIn some ways, this industry is ripe for change, and I look ahead to how AI-forward organizations will embrace making it right for the AI agent buyer,\u201d McGinnis concluded.<\/p>\n<\/p><\/div>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI agents are moving beyond assisting with purchases to creating them, raising recent questions on trust, marketing, procurement, and customer experience in each B2C and B2B commerce. As AI takes a more lively role in purchasing decisions, company leaders must answer vital questions on how they need to rethink generative engine optimization (GEO) strategies and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":348754,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[1695,2653],"class_list":["post-348753","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business","tag-buyer","tag-commerce"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/posts\/348753","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/comments?post=348753"}],"version-history":[{"count":2,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/posts\/348753\/revisions"}],"predecessor-version":[{"id":348756,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/posts\/348753\/revisions\/348756"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/media\/348754"}],"wp:attachment":[{"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/media?parent=348753"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/categories?post=348753"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ebiztoday.news\/index.php\/wp-json\/wp\/v2\/tags?post=348753"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}