Let’s start with the obvious: AI isn’t just knocking at the door for eCommerce — it’s already inside and beginning to rearrange the furniture. With tools like ChatGPT Shopping rolling out and Shopify quietly building the connective tissue to support it, the industry is in the midst of a paradigm shift. Natural language is becoming the new search. Conversations, not queries, are guiding product discovery. If your store isn’t ready, it risks becoming invisible. But for brands willing to adapt, this moment presents a rare opportunity to future-proof their growth.

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Conversational Commerce: Why It Matters Now

Conversational search has been a topic banded about for a number of years now, but in 2025 we're witnessing the rise of truly conversational commerce. A world where discovery happens not through endless scrolling through ads and search result listings or comparison charts, but via AI-powered chats.

Imagine a customer asking, “What’s the best cruelty-free moisturiser for under £30?” and receiving curated, purchase-ready suggestions and shopping links — all within a conversation. That world is no longer theoretical, it's already here.

Screengrab of chatGTP query asking 'What’s the best cruelty-free moisturiser for under £30' with query results below

AI chatbots, like ChatGPT and Google’s Gemini, are already becoming shopping assistants, interpreting nuance, suggesting relevant products, and even streamlining checkout. We can see this already in store data, with most Shopify brands experiencing 1000%+ growth in ChatGPT as a referral source Year-on-Year. For brand-loyal customers, your website will remain essential. But for functional or impulse-driven buys and new-to-brand customers, these AI bots may soon handle the entire journey. If you're not optimising for this conversational layer of commerce, you're leaving discoverability — and revenue — on the table.

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What Is ChatGPT Shopping?

OpenAI’s ChatGPT Shopping feature enables users to ask natural-language product search questions and receive curated responses. The system reads context and intent — not just keywords — offering a tailored, human-like experience. Product results are returned within the chat, and soon, users may be able to complete purchases without ever leaving the interface. OpenAI are already inviting brands to sync their product catalogues with ChatGPT by integrating their product feeds directly into ChatGPT. While this functionality remains limited, it’s only a matter of time before broader adoption takes hold. This isn't just a new channel, it’s a reinvention of product discovery and will become a crucial channel consideration as part of overall marketing mix planning.

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Shopify + ChatGPT: The Integration Already Underway

Recent code leaks uncovered in May 2025 point to a deepening connection between Shopify and ChatGPT. Terms like shopify_checkout_url and product_id found in code snippets inside the ChatGPT web app suggest users may soon browse, select, and buy Shopify products entirely within ChatGPT. A logical next step? Full-scale integration.

If this becomes the default discovery path for millions of users, your brand’s AI-readiness will determine whether it’s found, or forgotten.

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How to Prepare Your Store for AI Shopping

Here’s how ambitious Shopify brands, keen to remain ahead of the curve can prepare their stores — and their teams — for the AI-driven future of commerce.

1. Elevate Your Product Data

Clear, detailed product titles and natural-language descriptions are no longer just nice-to-haves, they’re essential. ChatGPT and similar Large Language Models (LLMs) need human-readable, attribute-rich content to make accurate recommendations. Think: "Waterproof men’s trail running shoes in size 10" instead of "Men’s Running shoes".

2. Structure Your Data for AI Comprehension

Schema markup is already critical - but now even more so. Product, Offer, Review and Breadcrumb schema helps AI understand content and context at scale. Use tools like Google’s Rich Results Test to audit and refine your implementation.

3. Organise Collections Logically

Avoid vague or overly broad categories. Use naming conventions that mirror how customers talk and search for products, not how marketers label. A well-organised structure helps AI models match queries with the right products.

4. Optimise for Conversational Intent

AI queries mimic human questions. Tailor your content to match how people ask, not just what they search for. Consider adding FAQs or Q&A-style copy to pages that talk to customer considerations and use purposes.

5. Prioritise Speed and Mobile UX

Fast, clean, and mobile-optimised pages are more likely to be surfaced by AI systems — and less likely to lose customers at the final click.

6. Make Reviews Work Harder

Structured, crawlable reviews (not trapped in iframes) offer powerful trust signals for AI. Invest in platforms that prioritise visibility to both search engines and LLMs.

7. Manage Reviews Off-site Too

Consider how customers can become advocates for your products and brands. Encourage reviews from satisfied customers post-fulfilment with automated email flows and CRM.

8. Prepare Product Feeds

Clean product feeds are likely to be the backbone of AI integrations. Ensure your Google Merchant Centre, Klaviyo, or Shopify JSON feeds are rich in detail and free of inconsistencies.

9. Maintain Solid SEO Fundamentals

AI discovery may diverge from Google, but the existing pillars of good SEO — authority, trust, engagement, content depth and quality — still matter. Keep building quality content, earning links, and focusing on user experience.

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Getting Your Team AI-Ready

This isn’t just a tech shift changing how consumers search and shop — it’s a business critical change to how internal teams think, plan and operate to remain competitive. Cross-functional teams must understand the role of AI in modern commerce.

  • Educate across departments: From devs to merchandisers, everyone needs to know how AI changes discovery for your audiences. Run guides internal sessions to walk through what AI shopping is, how it’s changing your market, what’s on the horizon and how each function of the business can contribute to optimising for the AI customer experience.

  • Encourage experimentation: Let your team test AI tools like ChatGPT and Gemini. Ask questions as customers would. Observe what surfaces to help them build practical awareness of how your customers are actually using AI to shop.

  • Prioritise data hygiene: Clean, structured inputs are foundational to being recommended by AI platforms. Technical teams need to prioritise data hygiene and feed readiness. Marketing and content teams need to consider conversational search and intent-led content. Customer service teams need to capture common questions and inquiries.

  • Assign an AI lead: Keep an internal pulse on developments from Shopify, OpenAI and others, or work with partners who can assist you in this.

Robot illustration holding a card with the Shopify logo in front of a large screen illutrating an online shoping cart

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AI Tools Shopify Brands Can Use Now

Even before ChatGPT Shopping goes mainstream, brands can tap into a suite of AI tools:

1. Personalisation & Product Recommendations:

Help customers discover the right products based on behaviour, preferences, and purchase history.

  • Rebuy – AI-powered upsells, cross-sells, and smart cart experiences.
  • LimeSpot – Dynamic recommendations, personalised emails, and web content.
  • Nosto – End-to-end personalisation across product pages, cart, pop-ups, and more.
  • Fera.ai – Displays real-time social proof, urgency, and personalisation widgets.
  • Shopify Sidekick (native) – Assists in tailoring your store and automating suggestions.

2. Customer Service Automation:

AI chatbots and tools that offer 24/7 assistance, reduce support load, and improve satisfaction.

  • Answer AI - AI chatbot that helps convert store visitors into customers by answering product questions.
  • Gorgias – AI-enhanced helpdesk that centralises customer support across channels.
  • Tidio – Chatbot with GPT-style responses and live chat integration.
  • Zendesk for Shopify – AI ticketing, automation, and omnichannel support.
  • Heyday by Hootsuite – Conversational AI that helps customers find products and track orders.

3. Product Search & Discovery:

Improve product discoverability with smarter, faster, and more relevant on-site search.

  • Searchanise – Instant search, autocomplete, smart filtering.
  • Doofinder – AI-powered predictive search for higher conversion.
  • Klevu – NLP-powered smart search with personalisation and analytics.
  • Fast Simon – Unified search, merchandising, and recommendations engine.

4. AI Powered Marketing & Retention:

Automate and optimise email, SMS, and ads using AI insights and content generation.

  • Klaviyo – Predictive analytics, automated flows, and AI-driven segmentation.
  • RetentionX – Customer lifetime value (CLV) and behaviour prediction.
  • Octane AI – Quiz funnels, zero-party data capture, and personalised product recommendations.
  • AdScale – AI for Google & Meta ad optimisation, budget management, and creatives.
  • LoyaltyLion – AI-based loyalty program personalisation and retention flows.

5. Content & Creative Generation:

AI tools that streamline product imagery, copywriting, and creative assets.

  • Pencil – AI-generated ad creatives tested against your brand style and tone.
  • Copy.ai / Jasper – AI writing assistants for product descriptions, emails, blogs, etc.
  • Booth.ai – Turns basic product photos into high-end lifestyle visuals.
  • Descript – Create video content (e.g., unboxings, explainers) quickly with AI editing.

6. Analytics & Performance Forecasting:

Use AI to understand trends, forecast demand, and make smarter decisions.

  • Triple Whale – Attribution, LTV insights, and AI-enhanced dashboard for Shopify.
  • Lifetimely – Cohort analysis, customer retention, and predictive analytics.
  • Inventory Planner – Forecast demand and optimise stock levels using AI.
  • Daasity – Centralises and analyses data from all your tools, including Shopify.

7. CRO & UX Optimisation:

AI to improve conversion rate and overall user experience through testing and automation.

  • ConvertFlow – Personalised pop-ups and conversion funnels powered by behaviour.
  • Intelligems – A/B testing for pricing, shipping, and promotions.
  • OptiMonk – AI targeting and exit-intent popups to boost conversions.
  • Lucky Orange – Heatmaps and session recordings to analyse user behaviour.
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The Bottom Line

AI shopping isn’t coming — it’s here. The brands that succeed won’t be the ones who wait and see. They’ll be the ones who move with direction and intention in the here and now. This is your moment to build an eCommerce presence that speaks the language of tomorrow’s consumer: fluid, fast, and conversational. Get your data right, your content clearer, and your team aligned. The rules of discovery are changing — and EastsideCo is here to help you win in this new era. If you’d like an audit of your Shopify AI readiness and clear roadmap of action to provide you with direction through this AI change, contact us today.