It\u2019s true to say that <\/span>AI<\/span><\/a> is inherently changing how people shop and how sites perform.\u00a0<\/span>\u00a0<\/span><\/p>\n Buyers ask questions in chat and get one comprehensive answer, not just a list of links.\u00a0<\/span>\u00a0<\/span><\/p>\n Agents can compare products, start a checkout, or set a reorder. Inside your stack, new AI tools can scan sessions, flag issues, and suggest fixes.\u00a0<\/span>\u00a0<\/span><\/p>\n The upside is real, but so are the risks around visibility, trust, and data quality.<\/span>\u00a0<\/span><\/p>\n This year\u2019s CommerceNow hosted three experts who showed what works today and what to prepare for next:<\/span>\u00a0<\/span><\/p>\n If you are working to grow revenue, lower risk, and keep customers moving through checkout, read on for the key takeaways from the webinar and the steps to put them in place.<\/span>\u00a0<\/span><\/p>\n \u00a0<\/p>\n As mentioned earlier, search is not just a list of links anymore.\u00a0<\/span>\u00a0<\/span><\/p>\n Shoppers ask a question and get one answer. Google shows AI Overviews, and AI Mode becomes the default view for more users.\u00a0<\/span>\u00a0<\/span><\/p>\n ChatGPT<\/span><\/a>, Perplexity, and Copilot do the same kind of work. Each system decides which brands to name based on the data it can trust.<\/span>\u00a0<\/span><\/p>\n Garett Sussman <\/span><\/b>\u2013 \u00a0<\/span>Director of Marketing<\/span><\/b> at <\/span>iPullRank<\/span><\/b> \u2013<\/span> explains that visibility is now about being <\/span>recommended<\/span><\/i>, not just ranked. These tools expand a query into many related ones, then combine the results into a single answer. <\/span>\u00a0<\/span><\/p>\n They break a question into many smaller ones and look for simple, specific facts they can trust. And that makes your job simple: give them clean data, proof, and structure so they pick your product.<\/span>\u00a0<\/span><\/p>\n Garett also notes that answers change, partly because the systems use memory and context. Two users can ask the same thing but see different brands, based on history and signals in their accounts.\u00a0<\/span>\u00a0<\/span><\/p>\n That\u2019s why it\u2019s important to aim for a steady, ongoing presence, rather than one fixed position.<\/span>\u00a0<\/span><\/p>\n \u00a0<\/p>\n Platforms have their own patterns, and people do too. That\u2019s because users trust names they know and the first brand they see.\u00a0<\/span>\u00a0<\/span><\/p>\n The good news is that you can absolutely work with this. Build strong reviews, expert quotes, and social proof. Make your product pages complete. Clear details and real proof help both the model and the shopper choose you.<\/span>\u00a0<\/span><\/p>\n \u00a0<\/p>\n Product answers draw on Google\u2019s Shopping Graph, Merchant Center, and trusted source pages.\u00a0<\/span>\u00a0<\/span><\/p>\n Complete, current details such as price, variants, images, specs, availability, reviews, retailer data, and <\/span>YouTube<\/span><\/a> signals all raise your chances to appear. However, when this data is incomplete or stale, your brand is less likely to be included.<\/span>\u00a0<\/span><\/p>\n \u00a0<\/p>\n Sussman shares a simple playbook you can run in a week:<\/span>\u00a0<\/span><\/p>\n Search your own brand and key products in AI Overviews, AI Mode, ChatGPT, Perplexity, and Copilot. Note how your business is described, which pages are cited, and what is missing.<\/span>\u00a0<\/span><\/p>\n \u00a0<\/p>\n Fill every field. Keep price, images, variants, and availability current. Encourage reviews with real detail.<\/span>\u00a0<\/span><\/p>\n \u00a0<\/p>\n Add schema and fix errors. Tools like WordLift can help.<\/span>\u00a0<\/span><\/p>\n \u00a0<\/p>\n Use short, clear sections on each product or content page. State facts with numbers and specifics. Make relationships clear with simple statements like \u201cX is Y.\u201d\u00a0<\/span>\u00a0<\/span><\/p>\n Keep the key details together on that page, rather than scattered across different links.<\/span>\u00a0<\/span><\/p>\n \u00a0<\/p>\n Get your products and guides mentioned on the pages these LLM models <\/span>already<\/span><\/i> cite.\u00a0<\/span>\u00a0<\/span><\/p>\n Remember: mentions on those sources increase your chance of inclusion, even without a backlink. Use <\/span>SparkToro<\/span><\/a> to see where your audience pays attention, then place your product pages, guides, and mentions on those sources.<\/span>\u00a0<\/span><\/p>\n \u00a0<\/p>\n Garett recommends using tools like <\/span>Profound<\/span><\/a>, <\/span>Peak<\/span><\/a>, <\/span>XFunnel<\/span><\/a>, or <\/span>Scrunch<\/span><\/a> to check where your brand appears in AI results.\u00a0<\/span>\u00a0<\/span><\/p>\n Look for how often you are named, how you are described, and which pages are cited. Open Hewphoria to see the related queries that AI Mode expands to. Add clear answers for those queries to your site.\u00a0<\/span>\u00a0<\/span><\/p>\n Don\u2019t forget to review these checks each week and update weak spots.<\/span>\u00a0<\/span><\/p>\n And lastly, focus on the real opportunity. Garett points out that the biggest gains come from specific product searches, not broad information queries. Ensure to meet those shoppers with exact details, credible proof, and a clear path to buy.<\/span>\u00a0<\/span><\/p>\n \u00a0<\/p>\n Make sure to watch Garret\u2019s <\/span><\/b>full CommerceNow\u201925 session<\/b><\/span><\/a> to learn more about how biases in conversational search influence eCommerce decisions. <\/span><\/b>\u00a0<\/span><\/p>\n \u00a0<\/p>\n\n
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Are You Visible in Conversational Search?<\/span>\u00a0<\/span><\/h2>\n
What Drives Bias in AI Results<\/span>\u00a0<\/span><\/h3>\n
Where These Answers Come From<\/span>\u00a0<\/span><\/h3>\n
How You Earn AI Recommendations<\/span>\u00a0<\/span><\/h3>\n
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