01
Enrich the catalog
Normalize product truth and add conversation attributes grounded in approved evidence.
AI-native catalog enrichment
Send better product data to every AI answer.
Add conversation attributes, optimize every product against buyer prompts and topics, then prepare the catalog for model providers.
AI catalog pipeline
Illustrative product flow
Your catalog
Commerce platform
PIM
Product feeds
Wildcard enrichment
Conversation attributes
Mapped to buyer language
Prompt and topic coverage
Gaps scored by product
Provider taxonomy
Outputs formatted by destination
Provider-ready outputs
OpenAI
Gemini
Perplexity
Claude
1,284
products mapped
312
conversation attributes
4
provider formats
Conversation attributes
A taxonomy built for the way people ask.
Product facts describe what an item is. Conversation attributes describe when, why, and for whom it is the right answer.
Daily Fluid SPF 50
AI-ready product taxonomy
Product truth
SPF 50 · zinc oxide · 50 ml
Conversation attributes
oily skin · no white cast · under makeup
Topics and intent
daily protection · sensitive skin · skincare routine
Prompt match
“What's the best sunscreen if I have oily skin?”
Matched through product truth + conversation attributes + topic intent
One catalog workflow
Enrich. Optimize. Distribute.
02
Optimize for prompts
Score product coverage against the buyer questions, topics, and comparisons that matter.
03
Prepare provider outputs
Format the enriched catalog for each supported feed, API, structured-data, or publishing path.
FAQ
Catalog enrichment, plainly.
What are conversation attributes?
Conversation attributes describe how a product fits the way people ask questions. They connect product facts such as ingredients, dimensions, or materials to needs such as oily skin, small spaces, travel, or daily use.
How is this different from a normal product taxonomy?
A traditional taxonomy organizes products for navigation and operations. Wildcard adds an AI-search layer for buyer intent, use cases, comparisons, topics, and the prompts where each attribute matters.
Does Wildcard invent missing product claims?
No. Enriched fields stay tied to approved product facts and source evidence. Unsupported claims remain gaps instead of becoming catalog data.
How does the enriched catalog reach model providers?
Wildcard prepares provider-ready outputs and routes them through the feed, API, structured-data, or publishing path each destination supports. Availability varies by provider and your stack.