Make your product data AI-ready

Turn incomplete, inconsistent product feeds into structured catalog data AI systems can reliably use.

Trusted by leading brands

What breaks product discovery

Incomplete product data

Missing attributes and specs prevent AI systems from confidently referencing your products.

Conflicting product information

Multiple versions of the same product create ambiguity for search and AI systems.

Unstructured data

Free-text descriptions and inconsistent formatting limit how products can be understood and reused.

Collect

Start with your product feeds & store

We ingest product data from your site and uploads, creating a foundation for structured, reliable product records.

Unify

One product, one reference

Each product is assigned a stable identity so all attributes, updates, and enrichments map back to the same record.

Optimize

Structured for AI

Product records are cleaned, standardized, and enriched so AI systems can interpret them correctly.

Distribute

Packaged for LLMs

Product records are packaged in LLM-ready formats so the same product information can be consistently reused.

Real results

What changes with better product data

Our product data went from scattered across systems to unified and verified in weeks, and our search rankings followed.
Sarah Chen
Ecommerce manager, Outdoor Gear Co
We cut our data maintenance time in half and finally have one source of truth for all our product information.
Marcus Rodriguez
Merchandiser, Fashion Direct
AI assistants now surface our products correctly because our data is clean and complete across every channel.
Elena Vasquez
Marketing director, Home Essentials

Make your catalog AI-ready

Explore how structured product data changes what AI can do with your products.

Questions

Answers to common questions about improving product visibility

What is Tally?

Tally builds an answer-ready product catalog from your product feeds so AI systems can reliably reference your products.

Why does product data matter for AI?

AI systems rely on structured, consistent data to answer questions accurately.

When product data is incomplete or fragmented, AI responses are often wrong, missing, or inconsistent.

Tally helps fix that at the data layer.

How is Tally different from a PIM or feed tool?

PIMs manage product data internally. Feed tools push data to channels.

Tally focuses on preparing product data for AI, building a structured catalog with stable product identity, enrichment, and LLM-ready outputs.

What does “answer-ready” mean?

Answer-ready means a product has enough structured, consistent data for AI systems to confidently answer questions about it.

Tally measures this with your Answer Readiness Score, so teams can track progress over time.

How does Tally work with AI tools?

Tally packages product records in LLM-ready formats, including structured Markdown, making it easier for AI systems to reference the correct product information.

Who is Tally for?

Tally is built for commerce, growth, and product teams responsible for making product data usable across modern AI systems.

No AI expertise required.

How does Tally handle product identity?

Each product is assigned a stable identity that links entries across feeds.

This prevents duplication and creates a consistent reference for enrichment and reuse.

What happens when our product data changes?

When your product feeds update, those changes are reflected in the catalog so AI systems can reference the latest product data.

Do we need to change our existing product data or workflows?

No. Tally works alongside your existing systems by ingesting your product feeds as they are. You don’t need to replace your PIM, CMS, or commerce platform to get started.

Teams can improve answer readiness without disrupting current workflows.

How quickly can we get started?

Most teams can connect product feeds and see their initial catalog quickly.

From there, answer readiness and enrichment improve continuously over time.

Get started with Tally

Connect a product data source and view your answer readiness in minutes.