Your next customer is asking ChatGPT where to shop.
Show up when AI does the shopping.
AI agents can only recommend what they can read. LayerTen makes your products readable, tracks where you rank each week, and shows you exactly why you win or lose. Built for DTC brands.
Free · No credit card · Results in about 10 minutes
Works across
ChatGPT
Gemini
Perplexity
Claude
CopilotIntegrates with
Built alongside a small group of early e-commerce partners.
Why agents skip stores
Agents don't browse your store. They compare structured data.
An agent answering a shopper's question needs specific fields it can read in one pass. Anything it can't read, it treats as missing, and a store with missing fields loses to one that has them.
A shopper asks
They describe what they want in plain language, with constraints: budget, features, delivery, returns.
Agents compare merchants
The agent reads structured product data from every store it can, then ranks them. Fields it cannot parse count as missing.
LayerTen makes you comparable
We structure your catalog, measure how agents see it, and optimize the offer so your products can be found, compared, and bought.
This is rarely a product problem. It is almost always a data problem, and it is fixable.
Shopper query
“best espresso machine under $400, low noise, free returns”
What the agent finds today
After LayerTen structures it
0 of 6 fields readable
Nothing to compare. The agent moves on.
6 of 6 fields readable
Ready to compare, rank, and recommend.
Illustrative example. Your audit reports the actual fields found on your store.
What our audits find
Being findable is free. Being chosen is the work.
Findable · free
Your platform already makes you findable.
Shopify ships the standard AI discovery files by default, and they are identical on every store that has them. They are worth having. They are also the same file your competitor published. If an agency sold you AI readiness, this is usually what you bought.
Example: llms.txt
Chosen · the work
Being chosen is a different job.
Agents do not pick a store because it published a file. They compare products on data: complete attributes, prices that match, and identifiers that let them match your product to the one the shopper asked about. None of that arrives with the platform.
This is the part almost nobody has done.
0/12
Of the twelve stores we audited in August 2026, none published the product identifier agents use to match products.
Without it, an agent cannot confirm your product is the one the shopper asked for, so it recommends a store that can.
One store, as the agent actually saw it
A real audit of one consumer brand.
These are that brand's own numbers, not an average across our audits. Its flagship product page looked complete in a browser.
brand.com/products/flagship-item
Bright: what agents can read. Dimmed: what they cannot.
Its barcode was stored in the SKU field.
The identifier was present the whole time, in a field no agent reads for matching.
The result: agents quoted a stale price and routed buyers to marketplaces instead of the brand's own store.
Your platform makes agents able to buy from you. LayerTen makes agents want to recommend you.
How LayerTen works
Three steps from invisible to recommended.
Connect your catalog
Connect Shopify, commercetools, BigCommerce, or WooCommerce. LayerTen syncs products, pricing, inventory, and fulfillment data. One integration, every agent platform.
Structure and enrich
We fill the gaps agents need: structured attributes, standardized taxonomy, machine-readable delivery and return terms, so your products are readable in one pass.
Optimize the offer
Every agent query carries context. LayerTen computes the right offer for each one inside guardrails you set: margin floors, inventory limits, MAP rules, with every decision logged.
See how smart pricing worksThe weekly loop
Rank tells you where you stand. LayerTen tells you why, and what it costs.
Every week, LayerTen re-runs the questions your buyers actually ask across ChatGPT, Gemini, Perplexity, and Claude, then turns the answers into three things you can act on.
See where you stand.
Prompt-level rank tracking with movement arrows, a competitor watchlist, and your share of shelf: the percent of buyer questions where you appear at all. One number to follow week over week.
Know why you win or lose.
For every question you lose, a structured reason: an attribute the winner published and you didn't, a price the agent saw that your page doesn't show, a citation you're missing. Every reason comes with evidence and a fix.
Fix it and verify.
Ship the fix, and LayerTen confirms when the agent's answer actually changes after the next re-crawl. Alerts land in email or Slack the moment a rank moves or a competitor undercuts you.
Early commerce partners
Built alongside early e-commerce partners.
We work with a small group of merchants preparing for agent commerce, and the product is shaped by what their catalogs actually need.
How do you stack up against competitors in AI agent visibility?
Enter your store URL. We'll analyze how AI shopping agents rank you across ChatGPT, Gemini, Perplexity, and Google AI Overviews.
Free · No credit card · Results in about 10 minutes
Working with a small group of early commerce partners.
Your data is never shared. See our privacy policy.
One honest note: agent answers update on re-crawl cycles. Expect your first measurable movement in weeks, not days.