The Future of Shopping

AI Shopping Analytics & Optimisation Plateform

Find out which products AI recommends to shoppers

The shift

AI is Becoming a Core
E-commerce Channel

AI now influences how people search, compare, and buy. If your products aren’t recommended, they’re invisible.AI-powered product recommendations that increase conversions

$37.7B

Projected AI in e-commerce market size by 2032

2/3

Of online shoppers already use generative AI in their purchase journey.

AI Shopping Analytics &
Optimisation plateform

Visibility Score

Track your brand's presence across all major AI models in real time and understand how AI speaks about you.

Shopping Data

Track which products appear in AI shopping recommendations. See when competitors are recommended instead of you.

Action

Create unique AI-ready content to improve product pages and influence signals.

key features

How it works?

Get started in three simple steps and win new customers

Identify shopping triggers

Discover which prompts activate product carousels versus generic answers, so you know exactly when AI enters “shopping mode.”

Analyze recommended products & retailers

We measure visibility, Merchant, frequency and sources.

Act with a dedicated content studio

Create unique AI-ready content to improve
product pages and influence signals.

Turn AI Recommendations
Into Revenue

+18%

Increased conversion

Average uplift in sales

+12%

Higher average order

Boost in revenue per order

+3x

Faster growth

Compared to industry average

Trusted by +200 leading brands and agencies

Get started

Ready to turn AI search into growth?

With GetMint, monitor your presence, capture opportunities, improve visibility, and fuel your pipeline with AI-driven growth.

FAQS

Frequently Asked Questions

Get answers to the most common questions about AI search and GetMint

Still have questions?

What is AI Shopping and why does it matter for e-commerce?

AI Shopping refers to shopping experiences powered by artificial intelligence systems such as ChatGPT or AI-enhanced search engines that recommend products directly to users. Instead of browsing traditional search results, users can now ask questions like:

“What are the best noise-cancelling headphones?”
“Best running shoes for a marathon?”
“Best laptop for video editing under $1500?”

The AI then generates product recommendations, comparisons, or product carousels, making AI interfaces a new product discovery and acquisition channel for e-commerce brands.

How does GetMint analyze AI product recommendations?

GetMint analyzes responses generated by AI systems to identify:

which products are recommended
which brands appear in AI answers
which merchants or retailers are mentioned
the frequency of recommendations
the user prompts that trigger product suggestions

This allows brands to measure their true visibility in AI-driven shopping experiences.

What is GetMint’s Shopping Analytics feature?

The Shopping Analytics feature tracks and analyzes product recommendations generated by AI systems. It provides insights such as:

which products appear in AI recommendations
which brands dominate specific product categories
which merchants are cited in AI responses
where visibility opportunities exist for your products

This helps e-commerce teams understand where their products appear within AI-driven shopping journeys.

Can GetMint analyze competitor product recommendations?

Yes. GetMint allows brands to monitor which competitor products are recommended by AI systems. The platform helps teams:

identify which competitors appear in AI shopping answers
measure share of visibility in product recommendations
understand which brands dominate specific AI shopping queries

This provides valuable competitive intelligence for AI-driven commerce.

How does GetMint help improve product visibility in AI recommendations?

GetMint helps brands increase their visibility in AI product recommendations by:

identifying products that never appear in AI answers
detecting high-intent shopping queries
analyzing signals used by AI models to select products
suggesting product content optimizations

These insights help teams adapt product pages and content to increase the chances of being recommended by AI systems.

What results can brands expect from an AI Shopping strategy?

Brands optimizing their presence in AI product recommendations can:

increase visibility in AI-driven shopping journeys
capture high-intent shopping queries
generate qualified product traffic
improve competitive positioning in AI results

AI product recommendations are quickly becoming a new performance channel for e-commerce.

Will AI Shopping change the future of e-commerce?

Yes. AI Shopping is leading toward what many experts call Agentic Commerce. In this model, AI systems will not only recommend products but will also:

compare options
guide purchase decisions
and eventually complete purchases on behalf of users

For brands, this means that being recommended by AI will become a critical factor in product discovery and sales.