The AI commerce layer that sells on your site and gets found in AI search.
Querytail
AI-Powered
The AI commerce layer that sells on your site and gets recommended by AI.
Querytail is a conversational AI sales assistant that understands your catalog, guides your customers and converts them — on-site and off-site.
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The AI commerce layer that sells on your site and gets found in AI search.
Your customers deserve more than a search bar. Give them an expert.
On-site: An AI Client Advisor that multiplies add-to-carts and protects your margins.
Off-site: Infrastructure that makes your catalog visible across AI search.
100% Sovereign. Zero hallucinations.
E-commerce faces a double fracture.
On-site: Solitude kills conversion.
In-store, a human listens, diagnoses, and converts 15% of your visitors. Online, facing a wall of mute filters, 98% of your traffic abandons. When the customer doubts, they don't buy.
Off-site: AI is making you invisible.
Search is changing. A growing share of queries now end without a click because AI answers directly. If LLMs can't read your catalog, you vanish from the results.
Querytail Experience vs Generic AI Bot.
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Your AI commerce stack, reinvented.
Proactive Sales: Your digital salesperson. Optimized cost center.
Replace your search bar with a client advisor. It diagnoses complex needs, suggests complete routines, and protects your margins. Get the first recommendation right | fewer returns, higher AOV.
Our engine converts your product sheets into Agent Cards. You instantly become readable and recommendable by ChatGPT, Perplexity, and every AI agent your customers use.
Zero Friction: From prompt to payment.
Collect payments directly in the conversation. Stripe, Adyen, Apple Pay, Google Pay, all connected out of the box.
Absolute Security: You remain the master of your data.
Zero hallucinations by design, enforced by our Semantic Firewall. Every response is verified against your catalog before it reaches your customer. You set the guardrails. You stay Merchant-of-Record.
A system that learns from every intent.
Every interaction makes your catalog smarter. The more the Advisor sells, the better it understands what your customers actually want.
Captures Complex Intents
Every user query is captured as a structured intent signal | product category, budget, constraint, urgency. These signals feed your Agent Cards in real time.
Understands Customer Needs
The Query Lake stores every intent and enriches embeddings. It computes semantic similarity across your full catalog. No data leaves your infrastructure.
Identifies Perfect Match
Your catalog is continuously restructured with the language of your customers | rich attributes, cross-sells, and margin-optimised rankings that evolve without manual effort.
Maximizes Revenue Per Order
The Advisor delivers hyper-personalised recommendations that match intent to inventory. Zero hallucinations | converting browsers into buyers directly in the chat.
Technical excellence. Without the IT roadmap.
One-Click Ingestion
Connect your PIM, ERP, or Shopify/Salesforce feed. We handle the rest, zero mapping effort on your side.
GTM Tag Deployment
The Advisor installs on your front-end with a single line of JavaScript. Instant deployment without disrupting your development sprints.
Native A/B Test
Don't take our word for it. We automatically run a control group on 10% of your traffic. You only pay on proven incremental revenue.
Heard from the field.
What you're building, this is the Holy Grail of e-commerce!
In an ideal world, agents would change everything, if only they could do what a store client advisor does: understanding the customer, and helping them understand the product.
The day you hand everything over to LLMs, if they know the customers that bought from you, they will know exactly how to push them toward your competitors.
Our website is our online store, opened 24 hours a day, 7 days a week. So I need someone working 24/7 too. But that person doesn't exist in the real world.
LLMs just mirror how you talk to them. If someone says 'Hey girl, what's up?', it answers that way. That's completely at odds with how we speak about our brand.
Good questions.
How is Querytail different from a regular chatbot?
Most chatbots answer questions. The Client Advisor builds the sale: it understands context, qualifies intent, matches the right product(s), and guides the customer from discovery to checkout. Think less FAQ bot, more digital Client Advisor, with a revenue target.
Will our Client Advisor sound like us?
Yes. You control tone of voice, vocabulary, restricted topics, and communication style. Unlike generic LLMs, your Client Advisor doesn't mirror how the customer speaks, it speaks your brand, consistently.
What if the Client Advisor doesn't know the answer?
It says so, and it learns. When the Client Advisor can't answer with certainty, it tells the customer honestly and redirects the conversation. But behind the scenes, the question is flagged to the merchant through the Merchant Console. Once the merchant provides an answer, it's fed back into the system, so the Client Advisor never has to ask twice. Every gap becomes a permanent improvement. No hallucinated prices, no made-up claims, no brand risk.
Who owns our customer data?
You do. Always. Querytail never acts as merchant of record. All transactions go through your PSP, all customer data stays yours. We never share or exploit it for any other purpose.
Does Querytail replace our customer service team?
No. The Client Advisor handles pre-purchase guidance, helping customers find and buy the right product. It complements your support team, it doesn't replace it.
How does Querytail improve over time?
Every interaction feeds the loop, from three sources. Conversational data reveals what customers really want. Transactional data sharpens cross-sell and upsell recommendations. And when a question goes unanswered, the merchant's response is fed back permanently, as described above. All of this enriches your catalog with deeper context, improving both the on-site Client Advisor and your visibility across major LLMs. Three sources, one engine: sharper sales, stronger AI presence, better conversion, automatically.
Can I see what my customers are asking?
Yes. The Merchant Console gives you full visibility into customer conversations, unanswered questions, and catalog gaps, so you always know what your customers need and where your product information falls short.
How does Querytail handle product catalog updates?
Your catalog syncs automatically. When you update a product, a price, or availability in your system, the change is reflected across both the on-site Client Advisor and the catalog distributed to LLMs. No manual action required.
What kind of results can we expect?
Our partners typically see a meaningful lift in conversion rate and average order value within the first weeks of deployment. Better pre-purchase information also means customers find the right product the first time, which drives down return rates. And because your Client Advisor learns from every interaction, performance compounds over time.
What does it cost to get started?
Querytail runs on a two-part model. A lean monthly platform fee covers the full infrastructure: catalog ingestion, transformation into Agent Cards, enrichment, and distribution to major LLMs, so your products are discoverable across ChatGPT, Gemini, Perplexity, and beyond. A success fee then applies on the GMV generated directly through the Client Advisor. So, we only win when you win.
How long does it take to deploy?
For most platforms, deployment takes days, not months. We ingest your existing product catalog, scan the web (reviews, videos) to instantly enrich your data on Day 0, configure your brand settings, and go live, with no heavy development required on your side.
Which platforms does Querytail support?
Querytail is natively compatible with Shopify and integrates with enterprise platforms including Salesforce Commerce Cloud. If you're unsure, reach out, we'll assess your setup in one call.
Can our Client Advisor handle multiple languages and markets?
Yes. Querytail supports multilingual catalogs and can be configured per market, adapting language, local product availability, and currency.