AI Commerce
Get your products into AI shopping results
See where your brand shows up in AI shopping results, and which competitors are ahead. Optimize your catalog to get picked by AI, and grow your share at every retailer.
Trusted by Global CMOs & Fortune 500 Brands
AI Commerce Visibility
See where your products stand in AI answers
Track SKU-level visibility
Measure which of your SKUs AI recommends, for which prompts and which use cases. Open any query and read the answer as it was served, engine by engine.
Outrank your competitors
See who's winning AI shopping today. Sort by how often a product appears, where and when it lands, and what it's rated. Grouped by brand or by retailer.
Catch private label outranking you
Add a retailer's own label to the competitive set and it counts as both a brand and the retailer, so you see exactly how often the store brand wins the pick.
Get the catalog optimization done for you
Optimize your catalog for AI
Rewrite the attributes, claims and packaging language on each product so the engines can tell your SKUs apart. That's what decides which of your products gets pulled for which question.
Find and act on visibility gaps
Take the losing products to our analysts and get back the traits every winning listing shares so you can act on visibility gaps for each engine.
Measure which SKUs moved
Push the enriched pages back through syndication, then measure the same products against the same queries so you can see which SKU moved and why.
Retailer strategy
Grow your AI visibility share inside retailers
Score retailer performance
Rewrite the attributes, claims and packaging language on each product so the engines can tell your SKUs apart. That's what decides which of your products gets pulled for which question.
Build a playbook per retailer
Take the losing products to our analysts and get back the traits every winning listing shares so you can act on visibility gaps for each engine.
Get the retailer meeting deck
Walk in with that retailer's own AI performance and a plan attached. Your strategist builds it before the meeting, so you open on evidence they don't have on themselves.
How it works
Full process built to win AI shopping results
- The platform
Track
Monitoring runs across the real buyers' shopping prompts.
- The crew
Analyze
Attributes behind the winning listings get read, engine by engine
- The crew
Optimize
The catalog gets enriched at scale inside your guardrails
- Your team
Approve
Every line gets reviewed and signed off
- Your team
Update
Enriched PDPs go back through syndication
- The platform
Re-check
The same products get measured against the same queries
What marketing leaders love about Brandlight
With Brandlight, we gain full clarity into our AI visibility - transforming insights into measurable growth, smarter positioning, and stronger customer reach.
The Brandlight platform has been essential in providing the visibility we needed and we're highly impressed with the ongoing development of new capabilities and modules within the platform.
With Brandlight, we can finally measure and improve our AI-driven visibility - turning discovery into revenue, competitive edge, and expansion.
Win AI Visibility together
Join the world’s leading enterprises working with Brandlight. Get an actionable platform, proven playbooks, and a dedicated AEO team working with you to turn insights into measurable results.
Loved by the teams using Brandlight
4.9/5 · 240 reviews
Frequently Asked Questions
Why isn't Amazon in here, and what do you cover?
Amazon isn't a retailer here. To appear at all, a retailer connects a product feed to the engine, and Amazon has chosen to keep shopping on its own site. We don't see inside Rufus, and Walmart Sparky and Alexa aren't covered either. What we do cover is ChatGPT, Google AI Overview and Google AI Mode, and every retailer that has opted in, Walmart and Target among them.
How much of my prompt set actually triggers shopping?
A subset, and it varies by category. Product-led categories trigger listings far more often than solution-led ones, because people don't ask for oregano, they ask how to make the pasta. The first thing we run is an analysis of your prompt universe, so you see the real figure for your categories before you choose a single brand.
Does this replace our digital-shelf tools?
No. Your digital-shelf tools measure what happens inside a retailer's site: your PDP, your search rank, your content on Walmart.com. This measures what happens before that, when an AI answer decides which product and which retailer to send a shopper to. Teams run both.
Where does the optimization actually happen, and do you ingest our catalog?
Off the platform, and no. You export the catalog from your PIM, we analyse and enrich the attributes against your rules, and your team pushes the enriched PDPs back through syndication. The platform is the monitoring surface, so it informs the optimization without ever holding your catalog.
How is claims language governed, and what if a retailer won't take what we send?
Your brand book and legal guidelines go in as guardrails before anything is written, and a validation layer checks every output against that rule set. Nothing is syndicated without your sign-off. Where a retailer takes a different field set, we build that retailer's variant rather than sending one feed everywhere and hoping it lands.
Can you tie this to sales?
Not today. Retailer click data comes back aggregated and anonymised, so no listing traces to a specific purchase. You get the opportunity side: which queries trigger listings, which products get picked, which retailers carry them, and how all of that moves after you enrich. Closing the loop to revenue is the next frontier, and we'd rather say so now than at renewal.
How much lands on my team, and how long before we see anything?
The first audit is the heavy lift. After that the platform runs weekly on its own, the crew handles the decode and the bulk enrichment, and your team reviews and approves. Broader reviews run roughly quarterly, so this is not a weekly workstream for you. On timing, it depends on when each retailer ingests your feed, which sits outside our control. The re-measure gives you a clean before and after on the same queries whenever it lands.
How ready is this, who's using it, and do you work outside the US?
It's available in the product and in use at Fortune 500 companies across several categories. Any English-speaking market works today, and other languages add a layer. The shopping surfaces are still changing every few months, so the module changes with them.
Ready to Compete in the AI Economy?