Built for answer optimization
Tally turns raw product feeds into a structured catalog with a stable identity for every product, enriched, kept current, and packaged so AI systems can reliably use it.
Bring product data in from feeds & stores
Organize your data for AI & LLMs
Improve how products attributes and signals
Connect your product feeds & store
We ingest product data directly from your existing product feeds and catalogs.
Connect your data source
Product data is collected directly from your existing product feeds and kept in sync as they change.
Connect multiple data sources
Combine multiple product feeds into a single pipeline without manual reconciliation.
Normalize incoming data
Incoming fields are normalized into a consistent structure so products start clean and usable.
A single, consistent foundation
We resolve duplicate, conflicting, or incomplete details into clean, aligned product records.
Create a single product identity
Each product is assigned a stable identity that links entries across feeds.
Track products consistently
Products can be tracked reliably across updates using a single reference point.
Fix inconsistencies
Conflicting information is detected and corrected automatically.
Structured for AI
Your product data is enriched and organized the way AI systems actually interpret it.
Enrich missing attributes
Missing product attributes and context are automatically added to improve answer readiness.
Structure product data
Product attributes are structured into consistent, AI-ready formats.
Improve answer readiness
Richer, more complete product data enables accurate answers from AI systems.
Packaged for LLMs
Your product catalog is prepared for reuse by AI systems, so the same product information can be referenced consistently wherever it’s needed.
LLM-ready product output
Products are packaged in formats LLMs can reliably consume, including structured Markdown.
Consistent reference across tools
The same product records can be reused across LLM-powered tools without reformatting or duplication.
Reliable over time
As products change, the catalog remains a stable reference point teams and AI systems can rely on.
Real results
How better product data changes real outcomes.
David Torres
Director, Sports Retail Co
Priya Sharma
Marketing strategist, Wellness Plus
Robert Chen
Ecommerce director, Kitchen Essentials
Amanda Foster
Product manager, Fashion Forward
Michael Reeves
VP commerce, Home Decor Group
Make your data LLM-ready
Turn product feeds into structured catalog data LLMs can reliably reuse.