Get in front of AI shopping.
Get your products found and recommended by AI. SoldByAI is the agent commerce platform for brands.
- Products in AI recommendations
- Purchase paths, tested gate by gate
- Clear sources for AI orders
Recommendations
- ChatGPTshortlisted
- Perplexityshortlisted
- Doubaonot yet
weekly sweep · major engines
Source fixes
- gtin · 12 SKUs
- shipping answer
fix at the source · your approval
Purchase test
- find
- compare
- select
- route
gate 3 flagged → fix queued
Order attribution
- ChatGPT9
- Perplexity5
orders · by referring engine
Outcomes
Get recommended. Get bought. Know where orders came from.
Recommendations, purchase paths, and order sources, each one tested.
Product information AI can read
Price, specs, availability, and policies are checked item by item. Every gap is tied to a specific product.
Product information · Priority gaps See why a product missed the recommendation
Real answers from the leading AI engines are tested every week. Who was recommended, where the gap is, and the original answer are all on record.
Original answers · Fix queue After the recommendation, a purchase path that works
Four gates between recommendation and purchase are tested one by one. The gate that fails is fixed first.
Find · Compare · Select · Route live Know how many orders AI brought
Visits and orders are recorded by engine, so the contribution of the AI channel is clear.
Visit source · Order source
Where shopping starts is changing again
Product discovery, comparison, and buying are moving into AI conversations.
Offline shelves
Products got found by location, storefront, and channel.
Online platforms
Products get found by search rank, reviews, and platform traffic.
Agent recommendations
A shopper states a need. An AI agent returns a small set of products.
Search rankings still matter. Brands now compete for a place on the agent shortlist.
Find me a portable pour-over coffee kit for camping.
- Portable Pour-Over Kit V2$49
- Mini Hand Grinder Pro$39
- Folding Drip Kettle$29
AI answers with specific products, prices, and a way to buy.
Current behavior
20%
During Cyber Week 2025, AI and agents influenced 20% of purchases worldwide.
Beyond the top categories
75%
In Q2 2026, 75% of AI-attributed purchases on Shopify came from outside its top 100 product categories.
Long-range forecast
$3–5T
McKinsey projects a $3–5 trillion global agent commerce opportunity by 2030.
Content volume alone does not earn a place on the shortlist.
Trusted sources and accurate, consistent product facts increasingly shape what agents recommend.
Brands that reach the shortlist first take the orders first.
Product data supply chain
One product data foundation, adapted for each entry point
Brand facts, test history, and previous fixes carry into the next cycle. Your dedicated optimization agent understands your brand better with every run.
Connect your product data once. A new cycle runs every week.
Source
Brand product data
- Identity
- Specs
- Price
- Availability
- Policies
- Purchase URL
Destinations
- Owned storefront
- Platform listings
- Catalogs and feeds
- Protocols and APIs
Observed results
- Shortlists
- Original answers
- Data gaps
Commerce results
- Purchase path
- Referral source
Return path
- Test results
- Proposed fixes
- Your approval
- Source correction
Dedicated context
Brand product data · Test history · Previous fixes
Unify product data
Product identity, specifications, price, availability, policies, and purchase URLs are managed in one product data foundation the brand controls.
Adapt and test
The same product data is organized for each entry point. Actual answers, data gaps, and path results are logged every week.
Approve and carry forward
Approved fixes return to the source. The next test starts with the brand facts, test results, and unresolved issues already on record.
Every major agent commerce entry point included · no per-engine upcharge
Every step between discovery and purchase is tested.
Recommendation results
Review the original answers and shortlisted products.
Product-level issues
Every error and gap is tied to a specific product.
Fix progress
Track the proposal, priority, and status of each fix.
Purchase and source
See where the path failed and which engine referred the order.
Raw product data
- title
- nike pegasus
- brand
- —
- gtin
- null
After correction
- title
- Nike Air Zoom Pegasus 41
- brand
- Nike
- gtin
Control stays with your brand
Your storefront stays exactly as it is
Your site, URLs, design, and checkout remain unchanged.
You approve every change
Every proposed fix comes to you for review. You decide what goes live.
Your data, your call
Your product data, run history, and accumulated fixes stay with your brand.
Paid reach ends the day the campaign stops. What builds here is an asset: every test and fix on record, thicker with each cycle, and it stays with your brand.
SoldByAI Research
The Great Entry Migration: agent commerce infrastructure takes shape
A living timeline tracks how protocols, shopping surfaces, and checkout paths are evolving. Measurements, forecasts, and counterevidence define the channel's current stage and the work brands can begin now.
Updated 2026-09-10 · 29 min readRead the research
See how AI reads your store
The free audit covers four areas: public access, page discovery, brand identity, and product information. The report lists the gaps to address first.
Free · no credit card · report generated after sign-up