Most Common FAQs About In-Chat Commerce, ChatGPT Shopping and Agentic Commerce
As conversational AI rapidly reshapes how consumers discover and purchase products, terms like in-chat commerce, ChatGPT shopping, and Agentic Commerce are rising to the forefront of eCommerce innovation. This article brings together the most frequently asked questions across these themes to help Shopify merchants, digital strategists and brand leaders understand what’s changing, why it matters, and how to respond.
Online shopping is evolving, again. In 2025, Shopify & ChatGPT announced embedded in-chat conversational shopping, features that enabled consumers to discover and purchase products within natural language conversations. We recently published a guide for Shopify merchants to optimise their stores for ChatGPT.
In-Chat Commerce FAQs
What is in-chat commerce?
In-chat commerce refers to the ability for users to discover, browse, and purchase products directly within a chat interface, without needing to visit a separate eCommerce website. It uses conversational AI to handle requests in real time.
How does in-chat commerce differ from traditional eCommerce?
Traditional eCommerce relies on user-driven navigation and search, while in-chat commerce uses natural language conversation to deliver product results. It’s more intuitive, personalised, and seamless for users.
Is in-chat commerce secure for transactions?
Yes. Transactions are typically completed via secure checkout links hosted by established platforms like Shopify, ensuring the same level of encryption and fraud protection as traditional online stores.
What platforms support in-chat commerce right now?
Currently, ChatGPT is the leading AI platform offering embedded shopping features. Other platforms like WhatsApp, Instagram, and WeChat also offer forms of chat-based commerce, although with less AI integration. Other AI chat platforms, like Claude and Copilot, will follow with their own in-chat shopping very soon.
Can customers complete purchases directly in a chat window?
Yes. With platforms like ChatGPT, users can click on product cards that link directly to Shopify checkout pages, enabling seamless purchase journeys without visiting a traditional storefront.
What are the main benefits for merchants?
Increased exposure in high-intent conversations, shorter paths to conversion, no advertising cost, and access to new AI-native discovery channels are all key benefits for merchants adopting in-chat commerce.
How do I integrate in-chat commerce into my existing Shopify store?
For Shopify merchants, ensuring product data is properly structured with schema markup and optimised for AI discovery (titles, descriptions, tags, metafields) is the key to visibility. No plug-in is required to be picked up by ChatGPT. See the link at the top of the page for a dedicated article on this.
Does it work better for certain product types?
Yes. Products that solve specific problems or meet targeted needs tend to perform better, especially when product data includes use-case, audience, and benefits. Put simply, the more data-points available for ChatGPT, the more likely you’re products will be discovered.
How is payment handled within the chat interface?
Payment is typically processed through a secure checkout URL linked from the product card. The transaction happens on the merchant’s platform (like Shopify), not inside the chat itself.
What’s the role of conversational UX design in in-chat commerce?
Conversational UX focuses on how information is delivered in chat format. Merchants should use concise, benefit-led language and structure product data clearly so AI can represent it well within a chat experience.
ChatGPT Shopping FAQs
How does ChatGPT show shopping results?
When users type shopping-related prompts in ChatGPT, the AI uses structured product data available online, including schema markup, product feeds, and merchant APIs, to generate shoppable cards with product titles, prices, reviews, images and checkout links. In addition, Shopify merchants can use category and product metafields, plus tags.
Is ChatGPT connected directly to Shopify?
Yes. Shopify and OpenAI announced a partnership in April 2025 to bring enhanced in-chat commerce capabilities to life. ChatGPT can now access Shopify merchant product data through publicly available feeds, on-page data points and APIs.
Do I need to pay to appear in ChatGPT product recommendations?
No. Listings are currently organic and based on product relevance, structure and availability. There is no pay-to-play model for appearing in ChatGPT shopping results as of mid-2025.
How does ChatGPT decide which products to display?
ChatGPT evaluates structured product data and semantic relevance to the user’s prompt. It prioritises clarity, completeness (eg. price, reviews), availability and alignment with user intent.
How can I make sure my products appear in ChatGPT responses?
You should optimise your product data for AI discovery. This includes using descriptive titles, schema markup, rich metafields, tags, high-quality images, and up-to-date pricing. Matching natural-language queries is key.
What kind of product data does ChatGPT use?
ChatGPT primarily uses structured data: schema.org markup (Product, Offer, AggregateRating), API endpoints, and product feeds. It also uses natural language descriptions to evaluate context and relevance.
Can users buy directly from ChatGPT?
Yes, in many cases. Product results often include direct links to Shopify checkouts or product pages, allowing users to make a purchase with minimal friction after discovery in chat.
How do I test if my store appears in ChatGPT shopping queries?
Enter natural prompts into ChatGPT that describe your products (eg. “eco-friendly cycling jerseys under £50”) and see which listings appear. Adjust your product data to improve match quality over time.
Are the product results personalised for each user?
ChatGPT does not currently personalise shopping results per user unless previous context is provided in the conversation. Results are based on prompt relevance, not user profile, but this may change over time.
Does ChatGPT favour larger brands or well-known retailers?
No. Product visibility is based on structured relevance and data quality. Smaller Shopify merchants with clear, well-optimised listings can appear ahead of major brands if they better match the user’s intent.
Agentic Commerce FAQs
What is Agentic Commerce?
Agentic Commerce refers to a model where AI-powered agents act on behalf of consumers to discover, compare, and even purchase products based on their preferences, behaviours, and prompts, reducing the need for manual searching and browsing.
How is Agentic Commerce different from Conversational Commerce?
Conversational Commerce facilitates dialogue-driven shopping experiences between customers and businesses. Agentic Commerce goes further by enabling autonomous AI agents to make proactive decisions and recommendations without ongoing user input.
What’s the role of AI agents in shopping?
AI agents interpret user needs through natural language and structured preferences, then act to identify suitable products, refine recommendations, and in future, initiate or finalise purchases based on learned behaviours or programmed permissions.
Will AI agents replace traditional search?
Not entirely, but AI agents are expected to replace many transactional and routine searches – this is definitely a change to how online shopping happens currently. Instead of browsing through results, users will increasingly rely on AI assistants to deliver precise, curated answers or options.
How do agentic shopping experiences affect brand loyalty?
If AI agents prioritise logic, price, and availability, emotional brand loyalty may decline. Merchants must adapt by ensuring product data includes meaningful differentiators like ingredients, values, or reviews to maintain visibility and preference.
How do AI agents decide what to recommend?
Recommendations are based on structured data, previous prompts, inferred preferences, and semantic relevance. Rich, accurate product data helps agents make confident and helpful selections.
Can agents make purchases without human input?
Not yet, but future iterations of AI assistants may offer delegated purchase authority, for example, auto-reordering household products, with user consent of course, and budget controls in place. This is effectively the combination of Amazon’s subscriptions and IoT.
How do brands optimise for AI agents?
Brands should ensure complete and well-structured data: product schema, rich metadata, accurate pricing, detailed benefits, and logical categorisation. Think like a machine: prioritise clarity, consistency and coverage.
What ethical concerns exist with agentic commerce?
Key issues include data privacy, lack of transparency in recommendations, algorithmic bias, and the potential for manipulative or overly persuasive behaviour. Regulatory and ethical frameworks will need to evolve accordingly.
Are AI agents a threat to traditional digital marketing?
Yes and no. Traditional advertising and SEO may lose influence as AI agents favour structured relevance over brand messaging. Marketers will need to pivot toward optimising for agent-friendly content and data infrastructure. However, this is an agentic commerce bias, which in itself requires basic brand strength and strong core SEO deliverables, so it’s like I said, yes and no.
Related or Emerging Questions
Is SEO still relevant in an Agentic Commerce world?
Yes, but it is evolving. Traditional keyword-based SEO is becoming less effective for discovery in AI-driven environments. Instead, structured data, semantic clarity, and intent-focused content are becoming the new pillars of optimisation. There is of course a line of thought that this has happened already, and is unrelated to conversational commerce.
What’s the difference between AEO and SEO?
The acronym SEO means Search Engine Optimisation, which is about ranking in traditional search results, on platforms like Google, Bing et al. AEO stands for Answer Engine Optimisation, and focuses on structuring content so AI tools like ChatGPT can extract and deliver answers or product recommendations directly within a chat or voice experience.
How can small Shopify brands compete with larger retailers in AI discovery?
By focusing on data quality, niche targeting, structured markup, and longtail optimisation. ChatGPT prioritises relevance and completeness, not brand size, so smaller brands and merchants with clear metadata and focused use-cases can outperform bigger players.
Should I build new Shopify Collections for AI search prompts?
Yes, definitely. Creating Shopify Collections around specific intents, like “Father’s Day gifts for men over 50, under £30” or “lightweight cotton t-shirts for running”, helps match natural language queries and increases your product discoverability in ChatGPT and similar AI platforms.
What Shopify features help most with visibility in AI platforms?
Structured category and product metafields, tags, JSON-LD schema markup, optimised product titles and descriptions, and clean checkout URLs all contribute to higher visibility and relevance for AI-driven shopping platforms and tools.
Will ChatGPT ever offer paid product placement?
It’s possible, perhaps probable. As the ecosystem matures and demand increases, OpenAI may introduce monetised listings or prioritised placements. For now, all listings remain organic and based on structured relevance.
How can I track traffic coming from ChatGPT?
Currently, it’s difficult to isolate traffic from ChatGPT in traditional analytics tools. However, merchants can use UTM parameters on checkout links and monitor uplift in branded queries and conversion rates after optimisation. The focus however should be on getting your products ready, and fully optimised.
Should I use structured data for Shopify Collections (categories), not just products?
Yes, absolutely. Structured markup on Collection pages, such as ItemList and BreadcrumbList schema, can help AI agents understand grouping, relevance, and navigation, improving inclusion in curated responses.
Will Google Bard or Microsoft Copilot compete with ChatGPT in this space?
They already are. Microsoft Copilot integrates Bing Shopping and AI chat, while Google’s Bard (now Gemini) taps into Google Shopping. However, ChatGPT currently offers the most structured and merchant-friendly experience for Shopify sellers.
What’s the best way to futureproof my eCommerce strategy?
Focus on structured, scalable data points; schema, APIs, and clean content. Invest in longtail intent optimisation, enrich your product catalogue, and stay current on AI capabilities. Early adoption will become long-term advantage.
