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Zilco
Summary
Generic site search returns SKU noise; customers ask 'do you have this in blue, size M, under $50' and get a results page that makes them leave. Zilco is an AI chat assistant built specifically for catalog-heavy sites where the answer to that question lives inside product data, not a webpage.
Zilco syncs your catalog — products, inventory, variants, listings, or service entries — via API, a Node.js SDK, or native plugins for PrestaShop and WooCommerce, then exposes a chat widget that answers questions grounded in that data. Alongside product retrieval, it captures leads from the conversation and supports a 'Site Knowledge' layer for policies and FAQs, so the assistant can answer 'what's your return window' without hallucinating. Analytics surface unanswered questions, which tells you where your catalog or knowledge base has gaps. The ceiling appears when your requirements move beyond retrieval: there's no multi-step reasoning, no agent loop, no order management — it answers catalog questions, it doesn't act on them. Teams needing post-conversation workflow, CRM sync, or transactional actions wire those up externally.
Bottom line: Zilco earns its place on a WooCommerce store or vehicle dealer site where customers need fast, grounded answers from deep inventory — it breaks as a replacement for a full conversational commerce layer that needs to touch orders, bookings, or CRM records directly.
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Pros
Sign in to edit- Catalog-grounded answers rather than open-ended generation, which means customers get accurate stock, variant, and spec responses instead of plausible-sounding hallucinations about inventory you may not carry.
- Native WooCommerce and PrestaShop plugins, so stores on those platforms can sync their catalog without writing a custom integration and without touching the API directly.
- Lead capture built into the chat widget, so visitor intent and contact details are collected at the moment of highest engagement rather than lost when the session ends.
- Site Knowledge layer for policies and FAQs, so the assistant handles pre-purchase questions beyond product data without requiring a separate support tool or a second embedded widget.
- Analytics on unanswered questions, which gives content and catalog teams a concrete signal about where gaps exist rather than requiring them to audit chat logs manually.
Cons
Sign in to edit- Zilco covers retrieval and chat only — no agent loop, no order placement, no CRM write-back. Teams that need the assistant to act on discovered intent (reserve a vehicle, initiate a booking, push a lead to Salesforce) hit this wall immediately and add a separate automation layer, which means maintaining two systems from day one.
- No self-hosted option is described, which is a hard stop for retailers or dealers operating under data residency requirements or whose compliance team will not allow customer query data to leave their infrastructure — those teams move to a self-hostable alternative regardless of feature fit.
- Access is request-gated with a paid-only model and no documented free tier, so teams that want to validate catalog-grounding quality against their specific inventory before committing cannot do a self-serve proof of concept — evaluation friction is higher than with tools that offer open sandboxes.
About
- Platforms
- Web
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-09-09T02:21:40.881Z
Best For
Who it's for
- Ecommerce stores needing catalog search
- Dealers and marketplaces with inventory
- Businesses wanting grounded product recommendations
- Sites requiring lead capture from chat
- Users of PrestaShop or WooCommerce
What it does well
- Retail and ecommerce product catalogs with variants and stock
- Vehicle dealer inventory with specs and location
- Real estate property listings with pricing and availability
- Service directories with offers and booking links
- Classifieds and marketplace ads across categories
Integrations
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Sign Up to ContributeFrequently Asked Questions
- Is Zilco free?
- Zilco is a paid tool. No permanent free tier is offered.
- Is Zilco open source?
- No — Zilco is a closed-source tool. Source code is not publicly available.
- Does Zilco have an API?
- Yes. Zilco exposes a developer API. See the official documentation at https://zilco.ai for details.
- What platforms does Zilco support?
- Zilco is available on: Web.
Curated lists that include this category
Most product catalogs get bolted onto keyword search that was never designed for conversational queries. Zilco puts a chat interface in front of your catalog data: you sync inventory through the API, the Node.js SDK, or the PrestaShop and WooCommerce plugins, and the embedded widget answers visitor questions by pulling from that synchronized data rather than from general model knowledge. The core workflow is catalog-in, grounded-answers-out, with lead capture baked into the chat flow so visitor intent isn’t lost after the session.
The ‘Site Knowledge’ feature is the differentiator worth noting. Beyond product data, you can load policies, FAQs, and service details so the assistant handles the full pre-purchase conversation — pricing rules, availability, booking links, return policies — without routing those questions to a separate FAQ page or leaving the model to guess. The analytics layer flags questions the assistant couldn’t answer, giving catalog and content teams a prioritized list of gaps to close.
Zilco fits cleanly where the problem is catalog discovery and pre-sale qualification: ecommerce stores with large or variant-heavy inventories, vehicle dealers where spec queries are common, real estate listings with availability filtering, and service directories where customers need to find the right offer before booking. Where it doesn’t fit: if you need the assistant to place orders, update CRM records, trigger fulfillment, or execute any post-discovery action, Zilco has no agent loop for that — the vendor describes retrieval and chat, not task execution.
On the integration side, the vendor documents a Catalog Sync API, a Node.js SDK, a PrestaShop module, and a WooCommerce plugin — four documented paths that cover the most common catalog and CMS stacks without requiring a custom build for standard deployments. Access is request-gated, with no self-hosted option described, so data residency or air-gapped deployment requirements are a hard blocker.