Fix agent commerce problems at the source
Once your catalog is connected, SoldByAI tests the leading AI engines every week. It turns errors and gaps into proposed fixes, runs a live test of each purchase path, and attributes agent commerce orders to their engines.
- Product catalogStorefront Direct Read
- Engine answersCross-Engine Sweep Network
- Source fixesFix-at-Source Engine
- Purchase pathPurchase-Path Live Test
- Source recordsEngine-Level Attribution
Storefront Direct Read
Build a machine-readable catalog from your existing product sources.
Start with a storefront URL, a platform connection, or a file. SoldByAI structures product identifiers, specifications, price, availability, and source details in a consistent catalog. Your site, URLs, and checkout stay unchanged.
Existing storefront and product sources
Identifiers · Specifications · Price · Availability · Source
Take your machine-readable catalog with you at any time.
Cross-Engine Sweep Network
Every engine, its own recommendation patterns.
One approach wins on ChatGPT and fails on Doubao. Every week, SoldByAI tests the same real shopping questions across the leading AI engines, recording each result as a mention, citation, recommendation, or absence. What each engine rewards becomes your per-engine optimization list.
Every major AI shopping entry point included · no per-engine upcharge
- ChatGPT
- Gemini
- Copilot
- Perplexity
- Claude
- Doubao
- Qwen
- Kimi
- DeepSeek
Original answers and test times stay on file. Every classification remains traceable to the evidence.
Fix-at-Source Engine
One wrong fact, and the order goes elsewhere.
Each proposed fix is tied to a specific product, the original evidence, and an action path. With your approval, SoldByAI applies what it can directly, and storefront-side changes come with exact steps. The next measurement cycle checks the result.
- Original evidence
- Proposed fix
- Action path
- Approval status
- Retest status
Every change requires your approval.
- Original evidence
- Proposed fix
- Action path
- Approval status
- Retest status
We fix more than fields. We fix how AI sees your brand.
Brand facts, sweep history, and fix records carry into the next cycle. Your dedicated optimization agent gets to know your brand with every cycle. Every cycle builds on the last, making each proposed fix more specific to your brand.
Purchase-Path Live Test
A recommendation is not a sale.
After the recommendation, an order still has to pass compare, select, and checkout, and a failure at any gate is a lost sale. The Purchase-Path Live Test runs an agent through find, compare, and select, verifies the purchase route is live, and pinpoints the failed gate. Each failure comes with a fix.
The day agents start placing orders, you're already ready.
- Find
- Compare
- Select
- Route live
Find · compare · select · route live
Engine-Level Attribution
Each order, attributed to its engine.
Product links from four supported outputs carry source parameters into your storefront, and your existing analytics can identify the output and product behind each visit. AI orders stop hiding in direct traffic. When an agent checks out through your SoldByAI endpoints, the query is attributed with the sale.
Source output
Check your catalog for machine-readable product data
Enter your store URL. The audit checks product identifiers, structured data, and other key signals.