What Happens When Your Customers Start Shopping With AI?

Summary

Online shopping is changing from searching for products to asking for recommendations.

Instead of opening Google, browsing multiple websites, comparing reviews and switching between tabs, customers can now ask AI:

“Find me a premium loose-leaf tea under ?1,500 for gifting.”

Or:

“Which skincare product is better for sensitive skin?”

Or even:

“Compare the best options and help me choose.”

The AI can research products, compare prices, analyse reviews, check availability and increasingly help complete the purchase.

This shift is often described as AI-assisted shopping or agentic commerce.

For businesses, the implications are significant.

Your future customer may not visit your homepage first. They may not browse your category pages. They may not even search for your brand.

Instead, an AI system may become the first layer between your product and the customer.

The new question for eCommerce brands is no longer just:

“Can customers find our website?”

It is becoming:

“Can AI understand our product well enough to recommend it?”

Shopify reported that in Q1 2026, AI-driven traffic to Shopify stores grew eight times year over year, while orders from AI-powered searches increased nearly 13 times. Shopify also reported that new buyers from AI channels converted at nearly twice the rate of buyers from other channels.

This doesn't mean traditional eCommerce is disappearing.

But it does mean the customer journey is gaining a powerful new participant: the AI shopping assistant.

How Is AI Changing the Way People Shop?

Traditional online shopping usually follows a familiar pattern:

Need   Search   Browse  Compare   Buy

AI changes that journey.

A customer can now describe what they need in natural language:

“I need a birthday gift for someone who loves tea, preferably something premium and under ?2,000.”

The AI can interpret multiple requirements at once:

• Product category

• Budget

• Occasion

• Customer preferences

• Reviews

• Product features

• Availability

Then it can narrow the choices.

This creates a different journey:

Need  Ask AI   Get recommendations   Compare   Buy

And increasingly:

Need   Ask AI   AI researches   AI recommends   Checkout

OpenAI has expanded shopping experiences in ChatGPT to support conversational product discovery, comparisons and up-to-date product information, reducing the need for customers to manually move between multiple websites.

What Is Agentic Commerce?

Agentic commerce refers to AI systems that can assist - or eventually act more autonomously - through the shopping process.

This can include:

• Searching for products

• Comparing alternatives

• Filtering options

• Monitoring prices

• Checking inventory

• Reviewing product details

• Making recommendations

• Assisting with checkout

For example, instead of searching:

“Best running shoes”

A customer might tell an AI:

“Find me comfortable running shoes for a beginner training for a half marathon. My budget is ?10,000 and I prefer cushioning over speed.”

That is a much richer request.

The customer isn't looking for a webpage.

They're looking for a decision.

Shopify describes agentic shopping as AI agents acting on a buyer's behalf to research, compare and potentially purchase products according to customer preferences and constraints.

Why Does This Matter for Brands?

Because AI changes where product discovery happens.

Historically, an eCommerce brand focused heavily on winning visibility through:

• Google rankings

• Meta ads

• Influencer marketing

• Marketplaces

• Social media

• Email

Those channels remain important.

But AI platforms are becoming another discovery layer.

Imagine two tea brands.

Brand A

Has:

• A beautiful website

• Attractive packaging

• Premium photography

But its product information is vague:

“A luxurious experience for tea lovers.”

Brand B

Has clearly structured information:

• Tea origin

• Harvest season

• Flavour profile

• Brewing instructions

• Customer reviews

• Price

• Gift suitability

• Caffeine information

• Delivery details

Which product is easier for an AI system to understand and compare?

Brand B.

The quality of the product may be identical.

But the quality of information isn't.

Will Customers Still Visit Your Website?

Yes.

But not always at the beginning of the journey.

This is one of the biggest changes businesses need to understand.

Your traditional funnel might look like this:

Google   Website   Product Page   Checkout

An AI-driven journey could look more like:

ChatGPT   Product Recommendation   Comparison   Checkout

Or:

Gemini   Product Research   Brand Verification   Purchase

Or:

Social Media   AI Comparison   Product Recommendation  Website

Google is also moving shopping towards more conversational experiences. Its AI Mode uses Gemini capabilities and the Shopping Graph to help customers research, compare and narrow down products based on more complex requirements.

Your website remains important.

But it may increasingly become a verification and conversion destination rather than the first discovery point.

What Will Customers Ask AI Before Buying?

This is where the biggest strategic change happens.

Traditional SEO often focused on keywords.

AI shopping is more conversational.

Compare:

Customers can now provide context that traditional keyword searches often lacked.

That means brands need to think beyond:

“What keywords do we rank for?”

And start asking:

“What questions should our products be relevant to?”

What Happens When AI Becomes the Product Researcher?

AI can reduce one of the biggest problems in eCommerce:

Decision fatigue.

Customers often face:

• Hundreds of products

• Multiple marketplaces

• Conflicting reviews

• Technical specifications

• Different prices

• Promotional offers

AI can act as a filter.

Instead of giving customers more options, it can help them eliminate unsuitable ones.

For example:

“I want a premium tea for evenings. Nothing too strong, preferably floral, and suitable as a gift.”

The AI can theoretically filter products based on those preferences.

This changes competition.

Your product is no longer only competing against the products displayed next to it on a category page.

It could be competing against every relevant product available to the AI system.

Will AI Compare Products for Customers?

Increasingly, yes.

This is particularly important.

Customers already compare products manually.

AI simply makes that process easier.

OpenAI's shopping experiences now support product comparison with current information, while Google's AI shopping experiences can surface comparisons based on factors including prices, reviews, product details and availability.

Imagine a customer asks:

“Compare these three premium teas and tell me which one is best for gifting.”

What information would AI need?

Potentially:

• Price

• Packaging

• Reviews

• Product description

• Brand reputation

• Ingredients

• Origin

• Availability

If your product information is incomplete, unclear or inconsistent, you may lose the comparison before the customer ever reaches your website.

Does This Mean Product Data Is Becoming More Important?

Absolutely.

For years, brands have treated product descriptions as a basic eCommerce requirement.

A title.

A few paragraphs.

Some specifications.

Done.

That approach may become increasingly limiting.

AI shopping systems need to interpret products accurately.

That makes structured, complete and useful product information increasingly valuable.

A Product Should Answer Questions Like:

• What exactly is this?

• Who is it for?

• What problem does it solve?

• What makes it different?

• How does it compare?

• What does it cost?

• What options are available?

• Is it currently in stock?

• What do customers think?

Google's Shopping Graph contains product information at enormous scale and relies on frequently updated data such as prices, availability, reviews and product attributes to support shopping experiences.

The principle is simple:

If your product information is difficult to understand, it is difficult to recommend accurately.

What Will AI Look For When Recommending Products?

There is no universal public formula that guarantees a product recommendation across every AI platform.

Businesses should be sceptical of anyone claiming to know the exact “ChatGPT ranking algorithm.”

However, product discovery systems generally benefit from information that is:

• Accurate

• Current

• Specific

• Structured

• Relevant

• Consistent

For customers, the most useful information often includes:

The future product page may need to serve two audiences equally well:

The human deciding whether to buy.

And:

The systems helping that human make the decision.

Will Brand Loyalty Matter Less?

Not necessarily.

In fact, it may become more important.

Here is why.

If AI makes product discovery easier, customers can compare more options than ever before.

That creates a paradox.

AI makes finding products easier.

But:

AI may also make brands easier to replace.

If two products appear similar based on:

• Price

• Features

• Reviews

• Delivery

…why should a customer choose one over another?

This is where brand becomes important.

AI may help customers discover products.

But brand preference can influence which products customers trust and request.

The strongest brands won't rely only on being technically discoverable.

They will create reasons to be specifically wanted.

Could AI Make Price Comparison More Aggressive?

Potentially, yes.

AI can make it easier to compare:

• Prices

• Discounts

• Delivery times

• Features

• Reviews

This creates a risk for brands that compete only on price.

If your entire value proposition is:

“We are cheaper.”

AI can potentially find another cheaper alternative tomorrow.

Brands need stronger reasons to be selected.

For example:

Weak differentiation

Premium tea at an affordable price.

Stronger differentiation

Single-origin teas sourced directly from specific growing regions, with detailed harvest and flavour information for customers who want to understand what they're drinking.

The second gives customers - and AI systems - more meaningful information about differentiation.

What Happens to Traditional Product Pages?

They don't disappear.

But their role evolves.

Today's product page often tries to do everything:

1. Introduce the product

2. Explain it

3. Build trust

4. Compare alternatives

5. Answer questions

6. Close the sale

AI may increasingly handle some of the early research.

That means when customers arrive on your website, they may already know:

• What the product is

• How it compares

• What alternatives exist

The website's role becomes even more important in answering:

“Why should I buy from you?”

Your product page still needs to deliver:

• Confidence

• Trust

• Brand experience

• Accurate information

• Clear purchase options

AI may bring the customer closer to the decision.

Your website still has to complete it.

Will Customers Buy Directly Inside AI Platforms?

This is already beginning to happen.

OpenAI states that eligible products and merchants can support shopping experiences and, in some cases, Instant Checkout directly within ChatGPT.

Shopify is also building infrastructure for merchants to sell through AI channels, including ChatGPT, Google AI experiences and Microsoft Copilot.

Google has announced agentic shopping capabilities that can assist customers with shopping decisions and purchasing workflows.

This introduces a major possibility:

The traditional website checkout may not always be the final destination.

Commerce could increasingly happen wherever the customer is already having the conversation.

Does This Mean Websites Will Become Less Important?

No.

But “having a website” will no longer be enough.

Your digital infrastructure still needs to support:

• Product information

• Inventory

• Pricing

• Brand storytelling

• Customer trust

• Checkout

• Fulfilment

• Returns

• Customer service

Think of your website less as an isolated destination and more as part of a larger commerce ecosystem.

Your product information may need to travel across:

• Google

• AI assistants

• Marketplaces

• Social platforms

• Shopping feeds

• Affiliate platforms

• Brand websites

The brands best prepared for this shift will maintain consistent and reliable information across the ecosystem.

What Is the Biggest Risk for eCommerce Brands?

The biggest risk isn't that AI will destroy online shopping.

It's that businesses continue optimising for an old customer journey.

For example:

Old assumption

Customers search   Find our website   Browse   Buy.

Emerging reality

Customers discover   Ask AI   Compare   Validate   Buy.

Those are very different journeys.

A business focused exclusively on website traffic could miss what happens before the click.

What Should Brands Start Doing Now?

You don't need to rebuild your entire eCommerce business around AI tomorrow.

But there are practical steps worth taking.

1. Audit Your Product Information

Review your best-selling products.

Can someone clearly understand:

• What it is?

• Who it's for?

• Why it matters?

• How it's different?

If not, start there.

2. Test AI Shopping Questions

Ask AI platforms questions your customers might ask.

Don't search only for your brand.

Try:

“What are the best premium teas for gifting?”

“Which brands sell authentic Darjeeling tea?”

“Recommend a digital marketing agency for an eCommerce brand.”

Then observe:

• Who appears?

• Which brands dominate?

• What information is used?

• Are competitors mentioned?

• Is your brand absent?

3. Improve Product Attributes

Make sure important information is complete and current.

Pay attention to:

• Titles

• Descriptions

• Product categories

• Specifications

• Prices

• Availability

• Images

• Reviews

AI cannot accurately compare information that doesn't exist.

4. Build Content Around Customer Decisions

Don't only create content around your products.

Create content around questions customers ask before purchasing.

For example:

Instead of:

Our Premium Darjeeling Tea Collection

Create useful supporting content such as:

How to Choose Darjeeling Tea Based on Flavour Preference

Or:

First Flush vs Second Flush Darjeeling: What's the Difference?

This helps customers understand the category - not just your catalogue.

5. Strengthen Trust Outside Your Website

Customers and AI systems increasingly encounter information across multiple sources.

Build genuine credibility through:

• Customer reviews

• Expert content

• Case studies

• Media coverage

• Educational resources

• Authentic third-party discussions

A brand's digital reputation extends beyond its homepage.

How Should Brands Measure AI Shopping Visibility?

Traditional analytics may not tell the complete story.

Start monitoring:

Discovery

• AI referral traffic

• Brand mentions

• Product mentions

Consideration

• AI comparison appearances

• Recommendation frequency

• Competitor visibility

Conversion

• AI-referred sales

• Conversion rates by referral source

• Average order value

• New vs returning customers

Shopify's reported growth in AI-driven traffic and orders suggests that AI referral traffic is becoming measurable enough for merchants to treat it as an emerging acquisition channel rather than a theoretical trend.

A Simple Example: How AI Could Change Tea Shopping

Let's imagine a customer wants to buy tea.

Traditional journey:

Google Search 

“Best Darjeeling Tea”

Read multiple articles 

Visit different websites 

Compare products 

Read reviews 

Purchase

AI-assisted journey:

Customer asks:

“I want a premium Darjeeling tea with floral notes as a gift under ?1,500. What should I buy?” 

AI identifies relevant requirements. 

AI compares suitable products. 

Customer receives shortlisted options. 

Customer checks the preferred option. 

Purchase.

Notice the difference.

The customer may never browse ten different tea websites.

The shortlist becomes the new search result.

And if your brand isn't in the shortlist, your traditional website optimisation may never get the opportunity to work.

The New Competitive Advantage: Being Easy to Understand

One of the biggest misconceptions about AI commerce is that it requires a futuristic marketing strategy.

Often, the first improvements are surprisingly basic.

Clear information.

Accurate data.

Better descriptions.

Stronger positioning.

Real customer reviews.

Consistent product details.

These aren't “AI hacks.”

They are simply signs of a well-organised business.

AI may accelerate the advantage of brands that already communicate clearly.

Frequently Asked Questions

What is AI shopping?

AI shopping refers to using artificial intelligence to help consumers discover, research, compare and potentially purchase products. It can range from conversational recommendations to AI agents completing parts of the shopping process.

What is agentic commerce?

Agentic commerce describes a model where AI agents can take actions on behalf of shoppers, such as researching products, comparing options and potentially completing transactions within defined customer preferences and permissions.

Can customers shop directly through ChatGPT?

ChatGPT offers shopping experiences that can surface products and merchant links, and OpenAI states that eligible products and merchants may support Instant Checkout in some cases. Availability can vary by product and merchant.

Will AI replace eCommerce websites?

No. Websites remain essential for brand ownership, trust, product information and commerce infrastructure. However, customers may increasingly discover products through AI before visiting a traditional website.

How can an eCommerce brand prepare for AI shopping?

Start by improving product information, maintaining accurate prices and availability, strengthening reviews and trust signals, creating useful customer-focused content and monitoring how your products appear in AI-driven discovery.

Key Takeaways

• AI is changing shopping from keyword searching to conversational decision-making.

• Customers can increasingly ask AI to research, compare and recommend products.

• AI-driven product discovery may happen before a customer visits your website.

• Clear and complete product information becomes increasingly important.

• Your products may compete against a wider range of alternatives inside AI-generated comparisons.

• Price alone becomes a weaker differentiator when comparisons become effortless.

• Brand trust and differentiation remain essential.

• Websites won't disappear, but their role in the customer journey is evolving.

• Businesses should start monitoring AI-driven referral traffic and product visibility.

• The goal isn't to “optimise for a robot.” It's to make your products genuinely easier to understand and choose.

Final Thoughts

The biggest change AI brings to shopping isn't automation.

It's delegation.

Customers are beginning to delegate part of the buying process.

Instead of spending an hour researching products, they can ask:

“What should I buy?”

That question used to send them into search engines, websites, marketplaces and review platforms.

Increasingly, it can begin with an AI conversation.

For businesses, this creates a new challenge.

You are no longer competing only for:

• Rankings

• Clicks

• Ad impressions

You may increasingly compete for something earlier in the journey:

The recommendation.

The brands that succeed won't necessarily be those using the most AI.

They'll be the brands whose products are easiest to understand, easiest to compare and easiest to trust.

Because when AI helps customers make decisions, one thing becomes critically important:

Can your product give the AI enough reasons to choose it?

Is Your eCommerce Brand Ready for AI Shopping?

AI-powered discovery is creating new opportunities - but it also raises new questions about how customers find, compare and choose products.

At Refresh Ideas, we help brands look beyond individual marketing channels and understand the complete digital customer journey.

We'll help you explore:

• How customers currently discover your products

• Whether your product information supports AI-driven discovery

• Gaps in your website and product experience

• Opportunities to improve positioning and conversion

• How to prepare your digital ecosystem for changing customer behaviour

Connect with us to build a future-ready eCommerce strategy.

Talk to Refresh Ideas