The conversation starts from the bot, not the visitor.
A scripted welcome forces every person through the same options before addressing the question they already have.
Start from the visitor’s intent and page context.
Give visitors one clean WebChat experience for product discovery, grounded support, and lead or order intent—without making every conversation follow the same script.

Find your everyday carry
A better bag for the way you actually move.
Explore products, compare sizes, or get support without leaving the storefront.
Store guide
WebChat · grounded
I need a compact everyday bag under $80.
The Mini Crossbody is the closest match: $74, with a zip closure and an adjustable strap for everyday carry.
01
Discover
Product intent
02
Resolve
Support intent
03
Capture
Commercial intent
Guide visitors to the right product
Answer support from real sources
Collect intent after useful value
Route actions and human help
The generic widget problem
A buyer wants guidance, an existing customer wants a resolution, and a high-intent visitor may want a human. The chatbot needs to recognize the job before pushing a flow.
A scripted welcome forces every person through the same options before addressing the question they already have.
Start from the visitor’s intent and page context.
Marketing pages explain the offer broadly, but product details, FAQs, files, and policies often hold the decision-making answer.
Connect the source set behind each website job.
A support resolution, product match, and qualified lead require different next steps and different amounts of captured detail.
Route the outcome that follows from the conversation.
One WebChat, multiple visitor jobs
The website AI chatbot understands the immediate intent, retrieves the right source context, and chooses a next step that fits the outcome.
Recognize
Distinguish product discovery, support, policy, lead, and order intent from the natural question and page context.
The operating layer behind the widget
BoundBot separates the WebChat appearance from the bot, knowledge, rules, actions, and inbox operations that determine what actually happens.
Website chatbot stack
Sources the team can maintain
WebChat experience
Brand, launcher, and conversation UI
Intent knowledge
Pages, FAQs, files, and products
Actions and rules
Lead, order, and support routing
Shared inbox
Human continuation with context
A website assistant with range
The difference from a support-only bot is broader intent coverage—while every answer still depends on maintained sources and clear control.
Use catalog context to narrow options, explain tradeoffs, and guide visitors toward a relevant product.
Answer product, policy, onboarding, and support questions from the maintained source layer.
Capture the correct next-step detail and route the conversation without discarding what the visitor already shared.
Launch around one visitor decision
Choose one high-value page and one visitor job, then connect the answer, next step, and human boundary end to end.
Start on a product, pricing, help, or high-traffic landing page with a clear visitor question to solve.
Add the website, FAQ, file, and product context needed for that intent—not the entire business by default.
Define whether the best next step is a product, answer, lead, order request, workflow, or human continuation.
Use live visitor language to improve the source material, opening experience, and routing rules.
The website AI chatbot page covers broader discovery, sales, support, and action intent. The support page stays focused on repeatable customer support resolution and handoff.
Yes. BoundBot includes WebChat customization so the launcher and chat experience can fit the website brand and placement.
Yes. Connect the relevant product, FAQ, website, and file sources, then use explicit routing so each intent receives the appropriate next step.
Yes. Automated replies can pause and a teammate can continue the same conversation from the shared inbox with context intact.
Continue exploring
Add a support-focused website bot that handles FAQs, product questions, and lead capture from one web chat workflow.
Handle pre-sales questions, product discovery, and lead capture with a grounded chatbot that can still escalate to a human.
Build a FAQ chatbot that responds from structured knowledge instead of vague model memory.
Make the site conversational
Start with one page, one intent, and a next step that feels native to the customer journey.