Help customers choose
Build answers on use, compatibility, differences and limits, the details that decide a purchase.
For brands and specialty retailers whose customers need advice before they buy
Your products have
more to say than
your catalog reveals.
Querytail's AI Product Data Platform collects, structures and enriches your product data so AI can explain your products, answer your customers' questions and help them choose.
Request a demoThe question behind the purchase
Will this bag fit my laptop in its sleeve?
The listed capacity doesn't answer that.
You need to know the usable space, the size of the opening and how much room the laptop takes up inside its sleeve.
Querytail finds those details so AI can answer the question your customer is actually asking.
Why it matters
Better answers, less duplicate work.
Reuse your experts' knowledge
Build product information once and reuse it across your AI tools, instead of starting over in each one.
You have the final say
Start from your catalog and decide which information each AI tool can use.
Shared knowledge
One set of approved product information, three ways to use it.
Advise customers on your site, help AI assistants like ChatGPT describe your products accurately, and bring the same answers to your teams in their AI assistants.
From product page to answer
Brand Agent answers customer questions on your site, using information your team approved.
Brand Agent- Approved product knowledge
- Approved, Directions for use: Morning: no, evening use only
- Approved, Directions for use: Evening: yes, before night cream
- Approved, Customer reviews: Light texture, layers well under night cream
- AI Shopping Assistant
- Customer question: Can I use this retinol serum in the morning, before my sunscreen?
- No. According to its directions, this serum is for evening use only.
- In the evening, apply it before your night cream. Customers say its light texture layers well.
- Approved alternative for mornings: Vitamin C serum
How the platform works
See how the pieces work together.
Sourcing Agent gathers the information, Product Engine turns it into suggested enrichments, and your team approves, edits or rejects each one in Merchant Console.
Explore the AI Product Data PlatformHow does product knowledge flow?
- Data sources, internal and external
- AI Product Data Platform
- Sourcing Agent: Collects, Raw information
- Product Engine: Structures and prepares, Sourced suggestion
- Merchant Console: Approved suggestion
- Brand Agent: Advises customers on your site
- Brand Discovery: Helps LLMs understand your products
- Brand Copilot: Answers your teams' questions
See it in context
From one customer question to a confident choice.
See how one customer question exposes a gap in your product data, how Querytail fills it, and how the approved answer then helps customers and your teams.
Silent animation.
Next step
Help your customers choose with confidence.
Share your website and we'll tailor the conversation to your products and the questions your customers ask.