High-SKU ecommerce
Help shoppers narrow large catalogues by use case, size, material, category, delivery constraints, and product attributes instead of forcing them through filters alone.
AI Website Chat Agent helps teams answer product, delivery, compatibility, setup, and support questions from approved website knowledge, files, sitemaps, and supported product feeds — with no-send testing before the widget goes public.
No credit card needed to start. Paid plans upgrade by card only when approved and configured.
Generic chatbots can sound confident while missing the commercial detail customers actually need. AI Website Chat Agent is positioned for teams that need grounded answers, visible source control, and a safe launch path before automation touches real visitors.
Help shoppers narrow large catalogues by use case, size, material, category, delivery constraints, and product attributes instead of forcing them through filters alone.
Use approved product data, manuals, FAQs, and policy pages to answer careful specification questions while declining details that are not confirmed by sources.
Offer clients a reviewable AI chat rollout: source import, instruction setup, widget styling, safe test questions, missing-knowledge fixes, and go-live evidence.
The platform connects the visitor question, the approved sources used, the evidence state, the missing-knowledge action, and the safe widget test so site owners can improve weak answers before launch.
Use product rows, category context, variants, dimensions, policies, and source pages to answer buying questions more safely than a general FAQ bot.
Run realistic no-send questions, inspect source evidence, approve knowledge, and fix gaps before visitors see the widget.
Turn unanswered, weak, risky, or off-brand replies into specific knowledge, product-feed, FAQ, instruction, or handoff improvements.
The content space is ready; placeholder links point to honest empty-state pages until reviewed posts are published.
Answer recurring delivery, returns, setup, product, and service questions from reviewed sources instead of making the team repeat the same explanations.
For high-SKU and technical stores, help visitors compare options, understand attributes, and know when a human should confirm fit or compatibility.
Preview the widget, inspect source evidence, approve handoff boundaries, and keep public answers constrained to what the business is ready to support.
Create your account and connect the site the assistant should support.
Import pages, FAQs, files, sitemaps, and supported feeds through a reviewed source workflow.
Match greeting, colours, prompts, privacy text, and lead capture to your brand.
Ask realistic questions in no-send preview before go-live.
Use conversation review to find missing or weak answers and tune instructions.
The assistant is built around source approval and visible ingestion state. A service website may need pages, FAQs, files, and policy notes; an ecommerce store may also need product-feed rows, attributes, variants, delivery constraints, and category-specific buying guidance.
Use public pages, FAQs, policies, uploaded files, XML sitemaps, manual answers, and supported product feeds as approved sources for customer-facing responses.
Set assistant name, greeting, colours, prompt chips, privacy copy, lead capture, answer style, escalation rules, and when the assistant should decline or hand off.
Review transcripts, source evidence, leads, unanswered questions, risky wording, stale sources, and missing product fields as a practical improvement queue.
Plans now account for more than chat volume. Website plans suit service, brochure, docs, agency, and support sites. Commerce plans add product-feed capacity, catalogue units, feed-source limits, refresh frequency, and product-answer evidence for ecommerce or high-SKU catalogues.
Upgrade recommendations use the largest pressure point: chats, websites, knowledge pages, product rows, feed sources, refresh cadence, or catalogue units. No live charge is created until a paid card upgrade is explicitly approved and completed.
The assistant uses the website pages, files, FAQs, sitemaps, manual answers, and supported product feeds the owner has approved. Blocked, stale, or missing sources are surfaced instead of hidden.
When a product specification, delivery constraint, price, or policy is not confirmed by approved knowledge, the assistant should say so and offer the next safe action rather than guessing.
Free starts without a card. Paid upgrades, outbound customer sends, and public launch remain controlled by explicit setup and approval gates so teams can prove the experience first.
The product is designed around approved sources, product/catalogue context, safe no-send testing, and owner-visible review states. It is a website/product assistant, not a black-box bot bolted onto the footer.
Yes, when product data is connected and approved. It can use product rows, attributes, category notes, delivery/returns policies, and setup guidance; if a fact is missing, it should decline safely or route to the team.
Ecommerce stores, high-SKU catalogues, technical suppliers, trade portals, agencies, and service businesses with enough website knowledge to support useful answers.
Use our own no-send AI assistant for sales questions, onboarding guidance, help, support, testing, knowledge import, and go-live boundaries without triggering customer messages, live billing, DNS, ads, or deployments.