Agentic Shopping Has Arrived — And It’s Redefining How Consumers Buy

A quiet revolution is happening in commerce, and it’s unfolding inside the chat interfaces billions of people use every day. Tools like ChatGPT and Google Gemini are introducing a new behaviour called agentic shopping — where consumers no longer search, scroll, and compare manually. Instead, they delegate the job of shopping to an AI agent.

It’s a shift as significant as the jump from desktop to mobile.And it’s rewriting the rules for retailers, marketplaces, and physical shopping destinations.

What Exactly Is Agentic Shopping?

Agentic shopping is the moment where the AI becomes the shopper on your behalf.

Users now type prompts like:

“Find me a backpack that fits under an airplane seat, has a water bottle pocket, and costs under £20.”

Instead of returning links, the AI synthesises data across thousands of retailers — specs, reviews, availability, prices — and responds with curated recommendations, comparison tables, and even local stock options.

This is no longer “search.”This is shopping done for you.

How ChatGPT and Gemini Are Changing the Game

1. Natural-Language Product Discovery

Both platforms turn vague shopper intent into concrete purchase options.They read the entire retail universe like a structured database — and answer with context-rich product shortlists, not search results.

2. Instant / Agentic Checkout

This is where things get truly disruptive.

• ChatGPT now supports Instant Checkout through partnerships with Stripe and Shopify, allowing users to complete purchases inside the chat.

• Gemini goes a step further with agentic checkout: it can monitor price drops or inventory changes and automatically purchase an item via Google Pay (after user confirmation).

Search → comparison → paymentAll in one continuous conversational flow.

3. Automated Shopping Tasks

These AI agents can now:

• Track prices

• Check local inventory

• Reorder repeat purchases

• Monitor restocks

• Surface time-limited promotions

What was once a tedious shopper journey becomes a delegated workflow — the AI handles the boring parts.

4. Personalised Recommendations

Using contextual cues (location, past behaviour, needs), the AI tailors product suggestions like a digital personal shopper.

For consumers, this is convenience at a new altitude.For retailers, it is a radical shift in how visibility and demand are generated.

ChatGPT vs Gemini: Who Leads the Agentic Commerce Race?

Both companies approach the future from different angles:

ChatGPT

• Very strong intent-to-purchase journey

• Familiar conversational UI that users already trust

• Deep merchant integrations (Shopify, Etsy, Stripe)

• Excels in curated lists and product comparisons

Gemini

• Powered by Google’s Shopping Graph with over 50 billion products

• Real-time stock and price intelligence

• Native ecosystem integration (Maps, Google Pay, Search)

• “AI Mode” in Google Search enables conversational buying patterns directly within search results

ChatGPT brings the UI advantage. Gemini brings the data advantage.Both are steering consumers toward a world where buying is a conversation, not a task.

Where Do Shopping Centres and Retailers Fit Into This New Landscape?

Here’s the twist:AI assistants do not magically “know” what’s in your shopping centre, your stores, or your shelves.

To appear inside an AI answer — not just on a website — retailers need structured, AI-readable data.

This is exactly where Gonow Luma becomes essential.

Gonow Luma: The Visibility Layer for the Agentic Commerce Era

Physical retail is at risk of becoming invisible as consumer discovery migrates into AI assistants like ChatGPT, Gemini, and Perplexity.Shopping centres, high streets, and airports are competing not just in the real world — but now inside AI conversations. Executive Summary — Gonow Luma

Gonow Luma solves this by acting as the AI-ready index for your entire retail ecosystem:

✔ Ingest every tenant’s catalogue, offer, and service

From local boutiques to national retailers, all product and promotion data is unified.

✔ Convert everything into machine-readable formats

Schema.org, JSON-LD, AI-optimised sitemaps, and APIs make your centre fully visible to ChatGPT, Gemini, and future agentic engines. Executive Summary — Gonow Luma

✔ Make your stores “discoverable” inside AI answers

So when someone asks:

“Where can I buy running shoes today near me?”the AI can respond with your tenants, your stock, and your promotions.

✔ Optional AI concierge for your centre

A multilingual, multimodal assistant that gives shoppers real-time navigation, offers, and product discovery — including future photo-based localisation. Executive Summary — Gonow Luma

✔ Unlock new revenue streams

Premium visibility listings, flash promotions, and tenant analytics become part of the commercial ecosystem.

Gonow Luma transforms physical retail into a first-class citizen of the AI commerce world.

The Bottom Line: Agentic Shopping Is the New Default. Are You Ready?

As AI shopping becomes mainstream:

• Consumers will expect instant, personalised answers

• Retailers will need structured, AI-optimised visibility

• Shopping centres will compete for attention inside AI chat interfaces

• Footfall and sales will increasingly originate from AI recommendations

Early adopters will win disproportionate advantage — not by replacing physical retail, but by connecting it to the AI-first discovery layer that now sits above the entire consumer journey. Executive Summary — Gonow Luma

Agentic shopping isn’t a trend. It’s the new operating system for commerce.

And Gonow Luma is the infrastructure that ensures physical retail doesn’t just participate —it leads.