AI commerce isn’t coming. It’s already here.
Here’s what every retailer should know about ChatGPT shopping, how to prepare your data and reviews, and how Lipscore is making verified feedback AI-ready.
In late September 2025, OpenAI quietly activated Instant Checkout inside ChatGPT.
For the first time, users could go from “show me options” to “buy now” — without ever leaving the chat.
Source: OpenAI
It’s available only in the U.S. for now, starting with Etsy sellers and soon Shopify merchants, but OpenAI has already confirmed plans to expand internationally in 2026.
For retailers in Europe, that means the shift to AI-powered product discovery and checkout is not a distant concept — it’s just around the corner.
At Lipscore, we believe this moment will redefine how customers find, evaluate, and trust products online. Verified reviews are about to become the most important trust signal in this new era of AI commerce.
At the end of October, OpenAI launched ChatGPT Atlas, its own AI-powered web browser — a move widely seen as a direct challenge to Google.
Atlas integrates ChatGPT directly into the browsing experience, allowing users to summarize pages, compare products, and even complete purchases inside the browser.
Analysts say this could reshape how consumers discover and buy products online — and it immediately rattled the market: Alphabet’s (Google’s) share price fell around 3% following the announcement.
This development underscores how fast the shift toward AI-mediated product discovery is happening — and why it’s vital for retailers to ensure their reviews and product data are AI-readable, verified, and trustworthy.
Until now, shopping has started with a search bar.
In the future, it will start with a question:
“What’s the best running shoe for city trails?”
“Which retailer delivers fastest to Stockholm?”
AI assistants like ChatGPT, Perplexity, and Google’s Search Generative Experience (SGE) are learning to answer those questions with product and seller recommendations.
Two competing protocols are shaping this new ecosystem:
Source: https://openai.com/
These open infrastructures will determine how AI systems interact with retailer data — from product feeds to review sources — and which brands get surfaced first.
OpenAI has signalled that the international rollout of ChatGPT shopping will begin in 2026. At the same time, the company is expected to introduce paid ads or sponsored placements for free users of ChatGPT — meaning retailers may soon compete for both organic and paid visibility inside conversational interfaces, much like how search evolved on Google.
Behind the scenes, OpenAI is investing heavily in infrastructure, with over 10 gigawatts of planned data-center capacity — signalling that the company is preparing to support global commerce at scale.
AI commerce isn’t a concept. It’s an ecosystem being built in real time — and the early movers will gain the advantage.
To succeed in AI commerce, retailers must ensure their data and feedback are both machine-readable and trustworthy.
That means structured product data, verified reviews, and consistent freshness across all feeds.
Here’s how to prepare, step by step.
Visit chatgpt.com/merchants and apply to join OpenAI’s merchant program.
AI systems like ChatGPT read your product feed, not your website text.
Make sure it’s complete, consistent, and clean:
| Field | Example | Why it matters |
| Product ID | TSHIRT001 | Must be unique and stable |
| Title | Organic Cotton T-Shirt, Navy | Use clear, descriptive names |
| Description | Soft 100% organic cotton tee with relaxed fit | Provide real details, not keywords |
| Price | 399 NOK | Include currency |
| Stock Status | in_stock | Keeps availability accurate |
| Image URL | https://yourstore.com/images/tshirt001.jpg | Test that all links work |
| Shipping Info | NO:SE:Standard:49 NOK | Include cost and region |
| Return Policy | 30 days free returns | Link to your terms page |
A clean feed ensures your products appear in AI-driven recommendations and remain eligible for checkout.
AI doesn’t just display products — it recommends the ones it trusts. That’s why verified reviews are becoming one of the most important ranking factors.
If possible, add these fields to your product feed:
| Field | Example | Description |
| average_rating | 4.6 | Average verified star rating |
| rating_count | 124 | Total number of verified ratings |
| review_count | 38 | Ratings with written reviews |
| verified_purchase | True | Confirmed by Lipscore |
| verified_ratio | 1.0 | 100% verified reviews |
Add a short summary line such as:
“Based on 124 verified ratings (38 with reviews).”
This helps AI understand both the quality and authenticity of your review data.
If reviews are hidden behind scripts or external widgets, they may not be visible to AI crawlers — which means your products could lose valuable trust signals.
That’s why we’re investing in AI-readable reviews — ensuring verified buyer feedback from Lipscore can be recognized by both Google and conversational systems like ChatGPT.
Learn more below about how Lipscore is helping retailers stay AI-ready.
At Lipscore, we’re making sure your verified reviews count — not only for people, but also for the AI systems that influence which products and retailers get recommended.
Every review collected through Lipscore is tied to a real transaction, ensuring authenticity, compliance, and trust.
In the period ahead, we’ll roll out updates that make your verified reviews even more visible, structured, and trusted — across Google, ChatGPT, and other AI-powered shopping experiences.
Here’s how we’re preparing your brand to stay visible and credible as AI shopping becomes the new standard:
Because every review on Lipscore comes from a verified buyer, our clients collect more real feedback — reviews that build trust, increase conversions, and strengthen visibility in an AI-driven world.
AI commerce is here — and moving faster than anyone expected.
The good news is that retailers don’t need to reinvent their strategy. They simply need to ensure that:
At Lipscore, our mission is to make every review count — not only for customers but also for the algorithms that decide which brands appear in the next generation of product discovery.
AI can read every review — but it can only trust the verified ones.
Discover how Lipscore helps you:
Get more verified customer feedback than you ever thought possible.
Book a demo to see how - no commitments, just valuable insights.
