By Editorial TeamA lot of PR folks are getting it wrong on agentic commerce. This isn’t just another sales channel, it’s a whole new kind of buyer, an AI agent that executes transactions for people, and most companies are totally underestimating the challenges it brings.
Key Takeaways
- Forget brand stories. AI agents care about hard data. Your PR strategy needs to prove product quality and transparent operations with verifiable facts, not just clever messaging.
- You have to get proactive in managing how AI agents see your brand. That means talking directly to the people who build the agents and the companies that supply their data.
- Your old crisis comms playbook is useless here. AI agents spread bad news instantly across the globe, so you need reputation management systems that can react in real time.
- Brand loyalty gets a reboot. An agent’s loyalty is earned by a brand that consistently provides the best real-world value, forcing PR to prove tangible benefits instead of relying on emotional campaigns.
- How your company handles AI ethics and data privacy is now a core PR function. To maintain trust, you have to be able to prove you’re committed to fairness and privacy in how these agents work.
Myth 1: Agentic Commerce is Just Another E-commerce Channel
Thinking of agentic commerce as just an extension of your current online store is a massive mistake. Too many PR teams believe they can just tweak their existing digital strategies and assume that a product with good reviews on a site like Amazon will automatically get picked by an AI agent. That’s completely backward. The real difference is who’s making the choice. In traditional e-commerce, a person is clicking ‘buy’, swayed by your branding, your visuals, and the story you tell. With agentic commerce, the buyer is an algorithm built to optimize for hard metrics, price, delivery speed, sustainability scores, and raw user data scraped from all over the web. An AI agent buying groceries isn’t going to be impressed by your slick Instagram campaign for a new snack. It’s going to scan the nutritional information, compare the unit price, check for available delivery slots, and cross-reference everything against the household’s allergy profiles. An eMarketer report from 2025 predicted that by 2028, AI-driven agents will have a hand in over 30% of US online retail sales, with a huge chunk of that being fully automated. This means your PR job is now about presenting verifiable data. You have to make sure your product data feeds are obsessively accurate and complete, so a machine can easily parse the details, certifications, and sourcing info. Your success here won’t depend on telling a good story, but on whether your data holds up when an algorithm puts it to the test.
Myth 2: AI Agents Will Be Influenced by Traditional Advertising
You can’t buy an AI agent’s attention with a banner ad. The notion that sponsored content or influencer marketing will have any effect on these agents is just wishful thinking. Sure, those tactics might still work on the humans who set up the agents, but the agents themselves run on a different operating system. They’re built for pure efficiency, optimizing based on their user’s goals or what they’ve learned works best. They are immune to the persuasion that’s defined advertising for a century. Think about how SEO has changed. It started with just stuffing keywords everywhere, but now it’s about creating genuinely valuable content and earning authority. PR for agentic commerce is the next phase of that evolution. Instead of trying to run an ad campaign aimed at an algorithm, PR pros have to focus on building the brand’s reputation inside the data pools that agents drink from. What does that mean in practice? It means an obsession with positive sentiment in product reviews, top-tier customer service ratings on every platform, and winning out in independent product comparison reports. A recent IAB report found that by 2027, over 70% of marketers think direct data feeds and API connections to agent platforms will be more important than display ads. This is about proving your product is consistently better on the metrics that matter to a machine. It’s about earning algorithmic trust through performance.
Myth 3: Crisis Management Remains Unchanged
Thinking your old crisis comms plan will work here is a recipe for disaster. The speed at which bad news can ricochet through agentic commerce networks is something we’ve never seen before. One bad data point, a product recall, a data breach, a service outage, can get factored into millions of AI agent decisions instantly. Your standard crisis response, which involves drafting press releases and getting approvals over several hours, is hopelessly slow. By the time the C-suite signs off on your statement, AI agents may have already blacklisted your product and shifted millions of dollars in sales to your competitors. Picture a food product being flagged for a contaminated ingredient. In the old days, you’d see a slow sales dip as the news got out. Now, agents monitoring health advisories and supply chain data could instantly remove the product from every user’s shopping list and actively recommend alternatives from your competitors. The job isn’t just managing public perception anymore. It’s about managing algorithmic perception. You need real-time data monitoring and response protocols that can push corrected data or official updates directly to agent platforms at machine speed. This means building relationships with the developers of these AI systems now. The truth will still get out, but now it needs to be machine-readable and delivered instantly.
Myth 4: Brand Loyalty Will Remain a Human-Centric Concept
We in PR love to talk about brand loyalty as an emotional bond built over time through great experiences and consistent messaging. While that’s still a factor in human-to-brand relationships, agentic commerce introduces a new, colder-hearted version: agent loyalty. An AI agent is programmed to get the best deal for its user, so it will develop “loyalty” only to brands that consistently provide the best performance on its objective criteria. This has nothing to do with emotion. It’s loyalty based on pure performance. The second a competitor can prove a better price-to-quality ratio, faster shipping, or more sustainable sourcing, the agent will switch brands without a moment’s hesitation or human input. This forces PR to change its focus from building emotional narratives to demonstrating measurable, consistent value. Your work will involve publicizing operational wins, like hitting a 99.9% on-time delivery rate for three straight quarters or cutting carbon emissions by 15% last year, complete with third-party verification. A Nielsen report on consumer behavior predicted that by 2026, over 40% of consumers will be comfortable letting AI agents make purchase decisions based on these kinds of objective performance metrics alone. That means PR has to get good at communicating tangible results that an algorithm can understand and rank.
Myth 5: Ethical AI is a Developer’s Problem, Not PR’s
Leaving AI ethics to the engineers and lawyers is a massive blind spot for PR. The public’s perception of your brand is now tied to the ethical implications of the AI agents interacting with it, from data privacy concerns to algorithmic bias. If an agent is found to be recommending products in a biased way or is caught misusing customer data, any brand it promotes can be found guilty by association. Your reputation gets dragged through the mud right along with it. PR teams have to become advocates for ethical AI, both inside their own companies and with partners. You need to ask hard questions. What data sources are these agents using? Have the algorithms been audited for potential bias? How transparent are the agent’s recommendations? Brands that can give clear answers, show strong data governance, and join the public conversation about AI ethics will build a deep foundation of trust. This isn’t about avoiding a bad headline. It’s about earning the right to operate in an automated market. A brand’s position on AI ethics is becoming a key point of differentiation, and PR is responsible for communicating that position clearly and authentically.
What is agentic commerce?
It’s a system where AI-powered software agents automatically make purchasing decisions and complete transactions for consumers. They operate based on the user’s preferences, real-time data, and what they learn over time, often without any direct human involvement in each purchase.
How do AI agents make purchasing decisions?
They analyze objective data points, things like price, product specs, delivery speed, user reviews, and sustainability scores, along with personal preferences set by their human user. Their goal is to optimize for these measurable criteria, not to respond to advertising or emotional appeals.
Why is traditional PR less effective with agentic commerce?
Because traditional PR is built on storytelling and creating emotional connections with people. AI agents are immune to that. They only care about verifiable data and performance metrics, which makes a lot of conventional PR tactics useless for influencing them.
What is “agent loyalty” and how does it differ from traditional brand loyalty?
Agent loyalty is an AI’s habit of repeatedly choosing a brand that consistently offers the best objective value, quality, and service. It’s not emotional like human brand loyalty. It’s based entirely on performance, and an agent will switch to a competitor instantly if it offers a measurably better deal.
What role does ethical AI play in PR for agentic commerce?
It’s huge. Any ethical lapse from an AI agent, like biased recommendations, a data privacy breach, or a lack of transparency, can blow back on a brand’s reputation. PR’s job is to make sure the company can demonstrate a real commitment to ethical AI and data privacy to build and keep customer trust in this new world.
