What is Embage?
Embage is an AI receptionist and customer support agent builder. Businesses use it to add chat or voice-to-voice agents to a website for support, lead generation, feedback collection, bookings, and workflow automation.
Create a chat or voice-to-voice AI customer support agent, paste a small embed code on your site, and let it answer questions, collect feedback, book requests, qualify leads, and update your tools.
Website chatbot · Voice-to-voice agent · Secure by design
Website agent preview
Embage support agent
Voice + chat widget
Visitor
Do you have the black trail backpack in stock, and can it arrive before Friday?Embage
Yes. I found it in Shopify, checked the shipping policy from your knowledge base, and it can arrive by Thursday with express shipping.Visitor
Great. Send me the link and ask sales to follow up about a team order.Embage
Done. I saved the lead, drafted a Gmail follow-up, and tagged the request as high-intent in the CRM datastore.Build an AI receptionist, chatbot for your website, lead generation agent, feedback collector, booking assistant, and voice-to-voice agent from one no-code platform.
Upload docs, PDFs, pages, and policies so your AI customer support agent answers from verified business content instead of guessing.
Create structured tables for support tickets, inbound leads, customer feedback, bookings, and custom records your agent can write to.
Give each workflow a focused subagent: search knowledge, create a record, call Gmail, look up Shopify products, or route a qualified lead.
Add Embage to any site with a small embed snippet. The same widget can run customer support, lead generation, feedback collection, and bookings.
Let visitors speak naturally with a low-latency voice agent that can search knowledge, summarize the call, and trigger the same subagent actions.
Use the model/provider that fits each job. Smaller models can handle fast routing while stronger models can handle complex customer support.
Connect Gmail, Shopify, HubSpot, calendars, Slack, Notion, and more so agents can draft follow-ups, find products, and sync structured data.
Keep conversations, datastore records, and knowledge separate per organization with permissioned agent access and secure website embeds.
After chat or voice conversations, create summaries, save outcomes, draft email follow-ups, notify teams, or trigger CRM and booking workflows.
Create the site agent, connect its knowledge and tools, then paste the embed code into your website.

Set up your AI agent in minutes using our visual builder. Choose your LLM provider, configure personality, and define how it interacts with your customers.

Upload documents, PDFs, and website content. Your agent learns from verified data to answer user queries accurately.

Create CRM, ticket, and feedback stores for leads, issues, reviews, and suggestions. Your agent collects and organizes data from every conversation.

Create specialized sub-agents that handle specific tasks — search knowledge, add datastore records, run workflows, and connect 3rd party SaaS.

Set up post-conversation workflows to automate simple tasks — update datastores, send emails, trigger integrations after each session.

Get your embed code and add the voice or chat agent to your website. Monitor conversations, review insights, and let your agent self-improve.
Give your AI agent safe tools for the work behind each conversation: draft Gmail follow-ups, look up Shopify products, save HubSpot leads, notify teams, and run calendar workflows.
And many more via Composio-powered integrations
Request an IntegrationAdd one widget to your site and let it handle customer support, lead generation, feedback collection, bookings, and product lookup with connected tools.
Answer product, billing, and policy questions from your knowledgebase, then create a structured ticket only when a human is needed.
Visitor
My subscription renewed twice. Can someone fix it?
Embage agent
I found the billing policy, collected the invoice IDs, and created a high-priority ticket with a clean summary.
Capability
Knowledgebase + datastore
Outcome
Ticket created
Qualify visitors through conversation, capture buying intent, and write complete lead records into your CRM datastore.
Visitor
We need an AI support agent for 8,000 monthly chats.
Embage agent
Got it. I captured team size, volume, timeline, and use case, then saved the lead for sales follow-up.
Capability
CRM datastore
Outcome
Lead saved
Look up products, answer catalog questions, and turn high-intent shopping conversations into saved leads or support records.
Visitor
Do you have waterproof running shoes under $120?
Embage agent
I found three Shopify products, explained the differences, and saved your email for the size 9 restock alert.
Capability
Shopify integration
Outcome
Product found
Collect feedback, capture booking requests, summarize voice calls, and route the next step to the right team or workflow.
Visitor
Can I book a demo next week and share feedback from my trial?
Embage agent
I captured the booking request, stored the feedback, and drafted a Gmail follow-up for your team.
Capability
Calendar + Gmail workflow
Outcome
Follow-up drafted
We're in private beta. Request early access and we'll get you set up personally.
Limited slots available · No credit card required
Read about AI receptionists, customer support automation, website chatbots, voice-to-voice agents, Gmail workflows, Shopify support, and raw usage pricing.
How Embage agents draft Gmail follow-ups, summarize website conversations, and route support or sales next steps.
Why Embage avoids flat per-session chat fees and keeps AI agent pricing closer to raw model usage and completed actions.
How Embage helps Shopify stores answer product questions, capture buyer intent, and route support requests from website chat.
Embage does not charge every chat as the same flat session. Your plan includes clear monthly action caps and a model-provider budget, so tiny chats stay cheap and complex workflows are visible.
BYO key
For testing a first website AI agent with your own model key.
$10 model budget
For small businesses adding support, leads, and feedback to a site.
$50 model budget
For growing teams using Embage as a daily AI receptionist.
$200 model budget
For high-volume support, sales, and voice-to-voice operations.
Why this is cheaper than per-session chat pricing
A two-message FAQ chat and a long support investigation should not cost the same. Per-session pricing averages those together and makes small sessions expensive. Embage keeps chat cost tied to model budget and only meters completed actions like knowledgebase searches, datastore writes, and integration calls.
Talk to SalesPricing example
Tiny FAQ chat
2 messages: What are your hours?
Per-session
A flat session fee can overcharge this.
Embage
Only model budget is touched unless an action runs.
Real support workflow
20 messages + KB search + ticket write + Gmail follow-up
Per-session
Flat pricing hides real work and often forces higher averages.
Embage
You see the raw work: model budget, KB query, datastore write, integration call.
Clear answers for offices and merchants evaluating secure AI receptionists.
Embage is an AI receptionist and customer support agent builder. Businesses use it to add chat or voice-to-voice agents to a website for support, lead generation, feedback collection, bookings, and workflow automation.
Embage keeps organization data isolated and permissioned. Knowledgebase content, datastore records, conversation outcomes, and tool access are scoped to the organization so agents only use the data they are allowed to use.
Yes. Create an agent, configure its knowledgebase and tools, then paste a small embed snippet onto your site to run support, lead capture, feedback, booking, and voice-to-voice workflows.
Embage does not charge every chat as the same flat session. Paid plans include capped monthly action quotas and a model-provider budget, so small chats stay cheap while completed actions like knowledgebase searches, datastore writes, and integration calls are clearly metered.
Yes. Embage can connect agents to business tools through integrations, so a conversation can draft Gmail follow-ups, look up Shopify products, save leads, update structured datastores, or trigger team workflows.
Yes. Embage supports website chat and voice-to-voice agents. Voice usage is governed by the voice-minute allotment on each plan, while tool actions inside a voice conversation still use the same knowledgebase, datastore, and integration caps.
Embage is in private beta. Fill out the form and we'll reach out to set you up personally. Expect a response within 24 hours.