Imagine a customer opening ChatGPT and asking, “What’s the best carry-on suitcase for frequent European travel under $300?”
Instead of scrolling through pages of Google results, the customer receives a curated list of products, compares features and prices, and decides which brand best meets their needs.
Your brand might be a perfect fit. But if your products aren’t discoverable, your product information is incomplete, or your business isn’t connected to the right AI shopping channels, you may never make the shortlist.
Welcome to the next evolution of e-commerce.
In 2026, brands must think beyond traditional search engine optimization. Consumers are increasingly using AI assistants to research products, compare alternatives, evaluate brands, and make purchasing decisions. Meanwhile, platforms such as ChatGPT, Google Gemini, and Microsoft Copilot are developing new ways for businesses to present products and facilitate purchases directly within AI-powered experiences.
For B2C brands, the opportunity is significant. But success requires more than adding the words “AI optimized” to your marketing strategy.
Your goal is to make your brand easy for AI to find, understand, recommend, and ultimately help customers buy.
What Is Agentic Search, and Why Should Your Brand Care?
Traditional search generally starts with a keyword. A shopper searches for “women’s hiking boots,” reviews results, visits websites, and compares products.
AI-powered discovery changes the process. A shopper can describe what they need in natural language, including their budget, preferences, intended use, and specific requirements.
For example:
- “Find me a durable garden tool set made in the USA for someone who loves gardening.”
- “Which skincare products are best for sensitive skin without fragrance?”
- “Recommend a stylish travel bag that fits under an airline seat and costs less than $150.”
AI systems can use these details to identify relevant products, compare options, and explain their recommendations.
Agentic commerce takes this further. Depending on the platform and available integrations, AI can help shoppers move from product discovery toward checkout, and some experiences support purchasing without leaving the AI interface.
This creates several opportunities for consumer brands:
- Discovery: Appear when shoppers ask AI for recommendations.
- Consideration: Supply the product information AI needs to explain why your offering fits.
- Conversion: Reduce friction between finding a product and purchasing it.
These stages are connected, but they are not identical. Being mentioned in an AI answer does not automatically mean your product is available through an AI shopping catalog, and neither guarantees a sale.
That distinction matters when deciding where to invest.
1. ChatGPT Ads: A New Opportunity for Consumer Brands
One of the most important developments in 2026 is the expansion of advertising within ChatGPT.
OpenAI has introduced new advertising capabilities, including AI-assisted campaign creation and management, and is testing Sponsored Agents that allow users to start a conversation with a business-sponsored agent after clicking an ad. OpenAI also announced integrations with Shopify and HubSpot to help businesses manage advertising within tools they already use.
Availability and features depend on the market and rollout stage. Brands can check current eligibility through OpenAI’s advertising platform.
What makes this interesting for B2C marketers is the potential to connect advertising with a more conversational shopping experience.
Consider a home furnishings brand advertising a dining table. A shopper might want to know whether it fits a small apartment, seats six people, or requires special maintenance. A sponsored business agent could help answer product questions and guide the shopper toward the company’s website.
That is a different experience from a conventional banner ad.
However, there is an important distinction: paid placement and organic AI recommendations are separate channels. Buying an ad does not guarantee that ChatGPT will recommend your brand in its independent answers.
What brands should do now
Prepare for this channel before increasing your advertising budget.
- Develop product-focused landing pages that answer real buying questions.
- Create clear, specific messaging around product benefits and differentiators.
- Identify the questions shoppers ask before purchasing and make sure your website answers them.
- Track campaign performance against qualified traffic, product engagement, and actual sales—not impressions alone.
Brands should also consider whether conversational advertising makes sense for their products. A complex purchase that benefits from education and comparison may be a stronger fit than an inexpensive impulse purchase.
2. Shopify’s Agentic Storefronts: Get Your Products Into AI Shopping
For Shopify merchants, one of the most practical developments is Shopify’s Agentic Storefronts.
This capability connects eligible products to supported AI shopping experiences, including ChatGPT, Google AI Mode, Gemini, Microsoft Copilot, and certain Meta experiences.
Merchants can manage supported channels through the Agentic section of Shopify’s administration interface. Product distribution and purchasing options vary by channel, eligibility, and integration.
For example, ChatGPT generally directs shoppers to the merchant’s website to complete a purchase, while some supported Google, Microsoft, and Meta experiences can offer Shopify-powered checkout within the AI channel when enabled.
Shopify also provides a knowledge base for information beyond the product catalog, such as shipping policies, returns, and brand values. That information can help AI systems answer questions about the business.
See Shopify’s official Agentic Storefronts documentation for current eligibility and setup instructions.
What this means for your business
If you operate a Shopify store, you may already have a relatively straightforward route into emerging AI shopping channels.
But don’t assume that connecting your catalog is the end of the job.
AI systems still need accurate, useful information to match your products with shoppers’ requests.
Review your product catalog for:
- Specific product titles and descriptions.
- Accurate pricing, inventory, and product variations.
- Complete specifications, dimensions, materials, and compatibility details.
- High-quality product images.
- Clear shipping, returns, and customer service policies.
A product listed simply as “Premium Travel Bag” gives an AI system less information to work with than a listing explaining its dimensions, weight, materials, laptop capacity, carry-on compatibility, and intended use.
The more clearly your product meets a shopper’s stated requirements, the easier it is for an AI shopping system to evaluate its relevance.
3. You Don’t Have to Use Shopify to Participate
Shopify is not the only route to AI commerce.
OpenAI supports product feeds that allow participating merchants to supply structured, up-to-date catalog information for discovery in ChatGPT. These feeds can include product details, prices, availability, images, and seller information.
Brands can review the OpenAI commerce documentation to understand the technical requirements and available integration options.
Shopify also offers an Agentic Plan intended to help eligible businesses using other commerce platforms connect their product catalogs to supported AI shopping channels without replacing their existing storefront.
For larger businesses, integrations through commerce platforms, product-feed providers, and enterprise systems may offer additional options.
The right approach depends on your existing technology, catalog size, technical resources, and target channels.
The strategic takeaway: Don’t rebuild your entire e-commerce operation just to chase an emerging channel. Start by identifying the simplest supported way to make your products discoverable.
4. Optimize for Google Gemini, AI Mode, and Microsoft Copilot
AI-powered product discovery extends beyond ChatGPT.
Google is developing shopping experiences across AI Mode and Gemini, while Microsoft is expanding commerce capabilities through Copilot. Eligible retailers can participate through supported commerce integrations and product data sources.
These experiences may help consumers discover products through conversational queries, compare options, and, where supported, complete purchases.
The underlying lesson is consistent: product information needs to be accurate, accessible, and structured well enough for the relevant systems to interpret it.
Start with the foundations:
Maintain your product feed. Keep titles, prices, availability, images, and product attributes accurate.
Improve your product pages. Explain who the product is for, what it does, what makes it different, and which requirements it meets.
Implement appropriate structured data. Product and Offer schema can help search engines interpret information such as pricing, availability, and product identifiers. Validate your markup and keep it consistent with what shoppers actually see.
Strengthen your brand information. Make shipping, return policies, warranties, contact details, and company information easy to find.
You cannot force an AI system to recommend your brand. You can, however, reduce the information gaps that make your products harder to understand and evaluate.
5. AI Visibility Is About More Than Product Feeds
A product feed helps AI systems understand what you sell. It doesn’t necessarily establish why your brand deserves to be trusted.
AI-powered discovery may draw on a wider range of publicly available and connected information, depending on the platform. That can include your website, product documentation, customer reviews, reputable publications, and other sources describing your business.
This makes your broader digital presence important.
Build a brand AI can understand
Start by ensuring your website clearly communicates:
- What your business sells and who it serves.
- What differentiates your products from competitors.
- Which materials, features, or capabilities make your products distinctive.
- What customers need to know before buying.
- How your company handles shipping, returns, support, and warranties.
Then develop useful content around real purchase decisions.
For example, a skincare brand could publish a detailed guide to choosing a moisturizer for different skin types. A luggage company could explain carry-on dimensions and material durability. A gardening brand could compare tools for container gardening versus large outdoor beds.
This content helps customers make informed decisions while giving search and AI systems clearer information about your expertise and products.
Make customer reviews work harder
Reviews can provide valuable context about how products perform in the real world.
Encourage genuine reviews, respond professionally to customer concerns, and make review information accessible on relevant product pages.
Don’t manufacture testimonials or manipulate ratings. Authenticity and accuracy are essential to long-term trust.
6. Build a Practical AI Search Testing Program
One of the easiest mistakes is assuming your brand is visible simply because you have a website and publish content regularly.
Instead, test how your business appears in the places your customers use.
Start by creating a list of 10–20 realistic shopping questions.
For example:
- “What are the best gifts for someone who loves gardening under $50?”
- “Which reusable kitchen products are durable and easy to clean?”
- “What are the best travel accessories for frequent international travelers?”
- “Compare three brands offering premium products made in the USA.”
Run these questions through relevant AI platforms, including ChatGPT, Gemini, and Copilot.
Record whether your brand appears, which products are mentioned, whether the information is accurate, and which competitors are recommended.
Repeat the process periodically.
Remember that AI answers can vary by prompt, user context, and time. A single search is not a reliable measure of visibility, and no tool can guarantee placement in every answer.
The goal is to identify patterns and opportunities, not to chase one particular result.
7. Measure What Actually Matters
AI visibility is useful, but visibility alone is not a business outcome.
Your reporting should connect discovery to commercial performance.
Monitor:
- AI-referred website sessions.
- Product page engagement from AI channels.
- Add-to-cart and checkout activity.
- Sales and revenue attributed to AI sources where tracking is available.
- Conversion rates and average order value.
- The accuracy of product information displayed in AI shopping experiences.
Use your analytics platform, e-commerce reporting, and available channel attribution to establish a baseline.
Be careful when interpreting the data. Referral tracking may be incomplete, attribution models differ, and some AI-assisted purchases may occur after customers return to your website through another channel.
Compare trends over time rather than assuming every AI-influenced purchase will be fully measurable.
Your Action Plan: What to Do in the Next 30 Days
You don’t need to overhaul your entire marketing strategy to get started.
Week 1: Audit your foundations. Review product pages, catalog data, structured data, website accessibility to search crawlers, and business policies.
Week 2: Check your AI commerce options. If you’re on Shopify, review the Agentic Storefronts settings. If you’re on another platform, investigate supported product feeds and integrations for your priority channels.
Week 3: Test real shopping queries. Search for your products and category using the language customers actually use. Document visibility gaps, inaccurate details, and competitor recommendations.
Week 4: Improve and measure. Fix the highest-impact product information gaps, strengthen useful buying guides, and establish reporting for AI-referred traffic and sales.
At the end of the month, you’ll have a clearer picture of your readiness and a practical roadmap for improvement.
The Future of B2C Marketing Is Discoverability Plus Trust
AI-powered shopping is changing where consumers discover products and how they evaluate their options. Advertising, organic discovery, structured product feeds, and connected commerce systems are increasingly part of the same broader customer journey.
But the fundamentals of good marketing haven’t disappeared.
Your products still need to solve real problems. Your messaging still needs to differentiate your brand. Your website still needs to convert visitors. And your business still needs to deliver on its promises.
The brands that adapt successfully will combine these fundamentals with the new tools available for AI discovery and commerce.
At Highforge, we help businesses connect marketing strategy, search visibility, technology, and conversion optimization into a cohesive growth plan.
Want to know whether your brand is ready for AI-powered discovery? Highforge can help you evaluate your digital presence, identify opportunities to improve AI visibility, and prioritize the changes most likely to support measurable business growth.
Contact us to learn more.
