Leezy.ai now connects natively to Shopify. That means your AI agent can answer product and order questions using live data from your store, not a stale export, helping shoppers make a decision and taking the most repetitive work off your team.
You can bolt a generic chatbot onto any store. The difference with a native Shopify connection is that the agent works from your real store data rather than a snapshot you have to keep uploading. Products, variants, and order information come from Shopify itself, so the answers reflect what is actually true right now.
That distinction is the whole game in ecommerce. A shopper asking whether something is available, or a customer asking where their order is, needs a current answer. An agent guessing from month-old information is worse than useless, because a confidently wrong answer erodes trust at exactly the moment you are trying to earn a sale. Grounding the agent in live store data is what makes it safe to let it answer these questions at all.
With the store connected, the agent becomes a knowledgeable shop assistant that is available on every page, at every hour:
The result is a store where a shopper's question gets answered in the moment, on the product page, rather than turning into an abandoned cart or a support email.
More completed purchases. Many carts are abandoned over a single unanswered question. An assistant that resolves that question on the spot removes a real and common reason people leave without buying.
Fewer repetitive tickets. The where-is-my-order and does-this-come-in questions that fill a support inbox get handled automatically, which frees your team for the issues that genuinely need a person.
Support that scales with traffic, not headcount. During a launch or a sale, question volume spikes exactly when your team is most stretched. An agent absorbs that spike without you hiring for it.
A better experience at the moment of decision. Answering a shopper's question instantly, where they are, is simply a better experience than making them hunt through a FAQ or wait on an email. Better experiences convert better.
An agent selling on your behalf has to be accurate, because a wrong answer here does not just annoy a customer, it can cost you the sale and the trust. Two things keep it grounded. It answers product and order questions from live Shopify data, so it reflects your real catalog and real orders. And for everything else, it answers from the content you train it on, with a clear path to a human when a situation calls for one. It is built to help a shopper decide, not to promise things your store cannot deliver.
If ecommerce is your world, the ecommerce and retail page goes deeper on how the agent fits a store's specific workflows, and the sales agent explains how answering, qualifying, and converting work together.
Connecting Shopify is done from the dashboard. You authorize the store, and the agent gains access to the product and order data it needs to answer accurately. From there you train it on your policies and content so it speaks for your store the way you would. The integrations page lists Shopify among the native connections, and the documentation walks through the setup.
Is this a real Shopify integration or a generic chatbot? It is a native connection to Shopify, so the agent answers product and order questions from your live store data rather than a manual export.
Can it tell customers where their order is? Yes. A customer can ask about order status and get an answer in the conversation, instead of opening a support ticket.
Will it give wrong answers about my products? Product and order answers come from live Shopify data, and everything else is grounded in the content you train it on, which is what keeps answers accurate. When a situation needs a person, it hands off.
Do I need to keep uploading my catalog? No. Because the connection is native, product and order data come from Shopify directly, so you are not maintaining a separate copy.
If your store answers the same handful of questions hundreds of times a week, a native AI sales agent turns that work into instant answers and, often, into completed sales. You can start free, no credit card required, connect your store, and let the agent handle the questions that stand between a shopper and checkout.
]]>Booking a meeting is one of the three jobs the Leezy.ai agent is built to do, alongside answering questions and qualifying leads. The agent can now book meetings directly into your connected Google or Outlook calendar. When someone is ready to talk, the agent finds a time that works, confirms it, and puts it on the calendar, inside the same conversation.
Most businesses handle scheduling as a relay. The visitor asks to talk, someone replies to suggest times, the visitor picks one, someone sends an invite. Every step is a chance for the thread to stall, and every hour of delay lets the visitor's attention move on.
Even a dedicated scheduling link, which is better than a form, still asks the visitor to leave the conversation, open a new page, and figure out the tool. Each extra step sheds a few people. The visitors you lose this way are not the uninterested ones. They are the ones who were interested enough to ask and then hit friction.
Letting the agent book the meeting inside the conversation removes that friction entirely. The person never leaves the chat. They say they want to talk, the agent handles the scheduling, and it is done.
When a conversation reaches the point where a meeting makes sense, the agent can:
It works with the calendar your team already runs on. You are not adding a scheduling product to your stack or asking anyone to change how they manage their day. The meetings simply appear where your team already looks.
More conversations become meetings. The tighter the path from interest to booked time, the more of your interested visitors actually make it onto the calendar. Removing steps is the most reliable way to lift conversion at this stage.
Meetings booked around the clock. A visitor at 10pm can book a meeting for next week without waiting for your office to open. You capture intent whenever it appears, not only during business hours.
Better prepared calls. Because the conversation that led to the booking travels with it, the person taking the meeting starts informed instead of cold. That makes the meeting itself more productive.
Less scheduling overhead. Nobody plays email tag to find a time. The back and forth that eats a surprising amount of a team's week simply goes away.
Automated scheduling is only trustworthy if it never double books and never offers a slot you cannot make. That is why the agent works from your real, connected calendar rather than a static list of times. Availability reflects what is actually open, and confirmed meetings are written straight to the calendar so everyone is working from the same source of truth.
This pairs naturally with lead qualification. The sales agent is designed to understand who it is talking to before it offers a meeting, so the calls that get booked are the ones worth having. Answering, qualifying, and booking are meant to work as one motion, not three disconnected features.
You connect your Google or Outlook calendar in the dashboard, tell the agent when it is allowed to book, and it takes care of the rest. There is no scheduling tool to configure separately. The documentation covers connecting a calendar and setting your booking rules, and the integrations page shows calendar booking alongside the other tools your agent works with.
Which calendars are supported? Google and Outlook calendars. The agent books directly into the calendar your team already uses.
Can it double book me? No. The agent offers availability from your connected calendar, so it only proposes times you are actually free, and writes confirmed meetings back to the same calendar.
Do I control when it can book? Yes. You set the rules for when the agent is allowed to book, so it only offers times that fit how you work.
Does the person taking the call see the conversation? The context of the conversation is captured with the meeting, so whoever takes the call can see what it is about beforehand.
If your current booking flow involves a form and a wait, the fastest win available to you is letting the agent close that gap. You can start free, no credit card required, connect your calendar, and turn interested visitors into confirmed meetings inside a single conversation.
]]>The Leezy.ai Slack integration fixes that by putting the signal where your team already is. When the agent captures a lead or a customer needs a human, a message appears in Slack, in the channel you choose, with the context attached.
Every tool that collects leads gives you somewhere to see them. The trouble is that "somewhere" is one more place to check, and people do not check tools they do not live in. A dashboard you open once a day is not where urgent things belong.
Slack, for most teams, is different. It is open all day. It is where work actually happens and where people already expect to be interrupted by things that matter. Routing your agent's most important events into Slack means they arrive in the one place your team is guaranteed to see them, without adding a habit anyone has to build.
The integration is deliberately focused on the two events that are time sensitive:
New leads. When the agent captures a lead, a message appears in your chosen channel with who they are and the conversation that produced them. Someone can pick it up and respond while the interest is fresh, rather than discovering it the next morning.
Human handoffs. When a customer explicitly asks for a person, or the agent decides a conversation needs one, that request surfaces in Slack immediately. The escalation is visible to the whole team, so it does not depend on one person watching a queue.
Both share a principle we care about: the human is always reachable, and the path to a human is never hidden. Automating the first line of support only works if the escalation path is obvious and fast. Slack makes it fast.
No missed hot leads. The window to respond to a warm lead is short. Delivering it to Slack in real time is the difference between catching that window and reading about it later.
Faster escalations. When a customer needs a person, every minute of delay costs trust. A Slack message that anyone on the team can grab shortens that delay to whatever it takes someone to read a channel.
Shared visibility. Because the events are in a channel, not a private inbox, coverage does not depend on one individual. Anyone free can respond, and the whole team can see what is happening.
Less tool switching. Your team stays in the place it already works. The agent brings the important events to them instead of asking them to go somewhere else to find them.
Slack notifications pair naturally with the rest of your setup. Many teams route a captured lead into their CRM through Zapier for the permanent record, and into Slack for the immediate nudge to act. One flow keeps the data clean, the other makes sure a person actually responds. They are not competing choices, they are two halves of a good handoff.
Connecting Slack is a short configuration step. You authorize the workspace, pick the channel where leads and handoffs should appear, and you are done. There is nothing to build and no code to write. The integrations page shows Slack alongside the other channels your agent can reach, and the documentation covers the connection in detail.
If your priority is customer support specifically, it is worth reading how the customer support agent treats escalation as a first-class, visible part of the flow rather than an afterthought. Slack is the delivery mechanism for that principle.
Which channel do notifications go to? Whichever channel you choose during setup. Many teams use a dedicated leads or support channel so the events are easy to find.
Does the whole team see the notifications? Yes, if you route them to a shared channel. That is the point: coverage should not depend on one person watching a queue.
Does it replace my CRM? No. Slack is for the immediate nudge to act. For the durable record, route leads into your CRM as well, which you can do through Zapier.
What triggers a handoff notification? Either the customer asking for a person, or the agent deciding a conversation needs one. In both cases the escalation is surfaced immediately rather than hidden.
If a single missed lead has ever cost you a deal, real-time delivery into Slack pays for itself quickly. You can start free, no credit card required, train your agent, and connect Slack so the events that matter reach your team the moment they happen.
]]>The Leezy.ai Zapier integration closes that seam. Your AI agent now connects to more than six thousand apps through Zapier, which means the leads and conversations it captures can flow automatically into the CRM, spreadsheet, inbox, or follow-up tool you already use.
"Connects to Zapier" reads like a checkbox on a features page. In practice it is the difference between an agent that generates activity and an agent that generates outcomes.
Think about what happens after a good conversation. Someone asked a buying question, the agent answered it and captured their details. That lead now needs to reach a salesperson, get logged against a company record, trigger a follow-up email, and maybe notify the right team. Doing that by hand is slow and error prone, and it is exactly the kind of work that quietly does not get done when everyone is busy.
Zapier lets you wire those steps once and forget about them. The agent captures the lead, and Zapier moves it everywhere it needs to go, in seconds, every time.
Because Zapier sits between Leezy.ai and thousands of other tools, the useful combinations are broad. A few that teams reach for first:
The value is not any single one of these. It is that you can compose them into a flow that fits how your business already works, without asking anyone to write code.
There is a second, more powerful side to this. Your agent does not only answer questions. It can take actions during a conversation, such as collecting structured contact information or creating a record. Connecting those actions through Zapier means the agent moves from talking to doing: it can gather what it needs and push it into your systems as part of the same conversation, rather than leaving a human to transcribe a chat log afterward.
That is the real shift. A chatbot that answers questions is helpful. An agent that answers questions and then reliably completes the downstream work is a member of the team.
The outcome you are buying with a Zapier connection is speed and completeness of follow-up:
No lead goes cold waiting to be entered. The gap between "customer showed interest" and "someone can act on it" collapses from hours to seconds.
No manual data entry. Nobody copies details from a chat into a CRM, which saves time and removes the transcription errors that quietly corrupt your pipeline data.
Your existing stack stays your stack. You do not migrate tools or learn a new system. The agent plugs into what you already run.
Consistency. Every lead is handled the same way, every time, even at 11pm on a Sunday. Process that depends on a person remembering is process that fails under load.
You connect Leezy.ai in Zapier the same way you connect any other app: authorize the connection, choose a trigger such as a new captured lead, and pick the action you want in your other tools. From there you can build as simple or as elaborate a flow as you need. The integrations page lists what connects natively and what routes through Zapier, and the documentation walks through the connection step by step.
If your goal is turning website conversations into qualified pipeline, it is worth pairing this with the sales agent, which is built specifically to qualify and route leads rather than only answer questions.
Do I need a developer to set this up? No. Zapier is a no-code tool. You authorize the connection and build flows by selecting triggers and actions from a menu.
Which CRMs does it work with? Anything Zapier supports, which covers the large majority of CRMs including HubSpot, Pipedrive, and Salesforce. If your CRM is in Zapier, your agent can reach it.
Can the agent do more than send leads? Yes. Beyond passing captured leads, the agent can take structured actions during a conversation, and Zapier lets those actions flow into your other systems automatically.
What if I need a native integration instead? Some tools connect directly without Zapier. Check the integrations page to see which are native and which are best routed through Zapier.
The fastest way to see the value is to capture one real lead and watch it land in your CRM without anyone touching it. You can start free, no credit card required, train your agent, and connect it to the tools your team already lives in.
]]>The free Leezy.ai WordPress plugin removes that last mile. You install it from the WordPress admin, paste your chatbot ID, and your AI agent is live on every page. There is no code to touch and no developer to wait for.
It is easy to underestimate how much friction a code snippet creates. Editing a theme file feels risky to anyone who is not a developer, because a wrong paste can break the site. So the task gets handed off, then it waits, and a project that everyone agreed on stalls on a step that should take minutes.
A plugin changes the psychology entirely. Installing from the WordPress directory is a familiar, safe, one-click action that site owners do all the time. Nobody has to open a theme file or understand where a script belongs. The person who decided to add the agent can be the same person who ships it, in the same sitting.
The plugin is deliberately simple, which is the point:
Once it is live, the agent works the way it does everywhere else. It reads your pages, answers questions grounded in your content, and replies in the customer's language, so a visitor gets a useful answer regardless of which page they landed on.
A decision that ships the same day. The gap between "let's add an AI agent" and "it is live" collapses from a scheduled dev task to a few minutes of self-service.
No dependency on a developer. Marketing, support, or the owner can deploy and manage the agent without a technical gatekeeper. That independence is often what determines whether a tool gets used at all.
Coverage across the whole site. Because the widget loads site-wide, a visitor gets help on a product page, a blog post, or a contact page alike, wherever their question happens to arise.
The same agent everywhere. The WordPress widget is not a lesser version. It is the same agent you can also run on WhatsApp, Slack, or a Shopify store, so a visitor gets consistent answers no matter how they reach you.
Adding anything to your site raises a fair question about data. The agent is built to be careful here: data is stored in the EU and encrypted in transit and at rest. For teams in Germany and the wider EU, where this is often the first question a stakeholder asks, being able to answer it plainly matters. We are careful to describe this accurately rather than overclaim, and you can read the current details on the WordPress page.
If you have already built your agent, adding it to WordPress is the easy part. Install Leezy – AI Chatbot from the official WordPress Plugin Directory, paste your chatbot ID, and confirm the widget appears. The WordPress guide walks through the install, and the documentation covers connecting and configuring the agent.
If you have not built the agent yet, start there. Train it on your site and content, make sure it answers your common questions well, and then install the plugin to put it in front of visitors. You can build the agent for free with no credit card, which means you can go from nothing to a live agent on your WordPress site without a purchase decision in the way.
Do I need a developer to install it? No. You install it from the WordPress admin like any other plugin, then paste your chatbot ID. There is no code to edit.
Does the widget appear on every page? Yes. Once the plugin is active, the widget loads across your whole site automatically.
Is the plugin free? Yes. The plugin is free, and you can build and run an agent on the free plan with no credit card.
Is it the same agent as on other channels? Yes. The WordPress widget runs the same agent you can deploy on other channels, so answers stay consistent wherever a customer reaches you.
Where is my data stored? Data is stored in the EU and encrypted in transit and at rest. The WordPress page has the current details.
If an AI agent has been on your list but stuck behind a developer task, the plugin is the way to unstick it. You can start free, no credit card required, build your agent, and have it live on your WordPress site the same afternoon.
]]>Today your Leezy.ai AI agent answers on WhatsApp directly. The same agent you train on your own content can now hold a full conversation on the channel your customers already use, at any hour, in their own language.
WhatsApp is not a novelty channel. For a large share of buyers it is the default way to reach a business. When someone messages you there, they expect the same thing they expect from a friend: a fast, relevant reply. A slow or generic response feels worse on WhatsApp than it does by email, because the medium itself promises immediacy.
The problem is that staffing WhatsApp like a live channel is expensive. You either pay people to watch it or you let it drift, and a drifting WhatsApp inbox trains customers to stop asking. An AI agent changes the economics. It answers the first message instantly, handles the routine questions on its own, and only pulls a human in when the conversation genuinely needs one.
The agent is grounded in your own content. You connect your website, upload your documents, and it learns how your business answers questions. On WhatsApp that means it can:
Because it runs on the WhatsApp Business platform, it works with the number your customers already know. You are not asking anyone to install anything or learn a new tool. They message you the way they always have, and someone, or something, competent answers.
The point of putting an agent on WhatsApp is not "we have AI now." It is a set of concrete outcomes:
Faster first response. The single biggest driver of a good support experience is how long the customer waits for the first useful reply. An agent answers in seconds, at 2pm and at 2am, which removes the after-hours dead zone entirely.
Fewer repetitive questions reaching your team. A predictable share of WhatsApp messages are the same handful of questions: opening hours, whether you carry a product, how returns work, where an order is. When the agent handles those, your team spends its time on the conversations that actually need judgment.
Leads you would otherwise miss. A customer who asks a buying question on WhatsApp at 9pm is a warm lead. If nobody replies until the next morning, that intent has cooled. The agent captures the lead in the moment and passes it on with the full conversation attached.
A channel you can finally staff. Many teams keep WhatsApp switched off, or buried, because they cannot commit to answering it. With an agent covering the first line, WhatsApp becomes a channel you can promote on your site with confidence.
Automating a personal channel makes people nervous, and it should. An agent that confidently invents an answer is worse than no agent at all. Two design choices matter here.
First, the agent answers from your content, not from the open internet. If your documents say returns take fourteen days, that is what it tells people. Grounding the answers in your own material is what keeps them accurate.
Second, escalation is visible, not hidden. When a conversation needs a human, the handoff is explicit and the context travels with it. The customer is never left talking to a wall, and your team is never handed a conversation with no history. Automating support should never mean hiding the way out of automation. You can read more about that principle on the customer support agent page.
Connecting WhatsApp is a configuration step, not a development project. In the dashboard you connect your WhatsApp Business account, point the agent at the chatbot you have already trained, and go live. Because the setup involves the Meta WhatsApp Business platform, we wrote a full walkthrough in the documentation so you can follow each screen without guessing.
If you have not built your agent yet, start there first. Train it on your website and documents, confirm it answers your common questions well in the playground, and only then connect WhatsApp. The channel is only as good as the agent behind it.
Do I need a separate WhatsApp number for the agent? No. The agent works with your existing WhatsApp Business number, so customers keep messaging the number they already know.
What happens when the agent cannot answer? It hands the conversation to a person and passes along the context. Escalation is treated as a normal, visible part of the flow rather than a failure to hide.
Can it answer in more than one language? Yes. The agent replies in the customer's language, which is useful on WhatsApp where you often cannot predict who will message you.
Will it make things up? The agent answers from the content you train it on. Grounding responses in your own material is the mechanism that keeps answers accurate, and clear escalation covers the cases it should not attempt.
Putting your AI agent on WhatsApp is one of the fastest ways to turn a channel you were quietly ignoring into one that answers customers instantly and captures the leads hiding in it. You can start free, no credit card required, train the agent on your own content, and connect WhatsApp when it is answering the way you want.
]]>You can now connect Notion to Leezy.ai and train your AI agent directly on that workspace. You pick the pages you want, the agent learns from them, and the knowledge your team has already written becomes answers people can get instantly.
An AI agent is only as good as what it knows. A capable model with nothing specific to draw on gives generic, hedged answers. The same model grounded in your actual documentation gives precise ones. The difference is entirely in the source material.
For most businesses, the best source material already exists and is already maintained. If your team keeps its knowledge in Notion, that is where the current, correct version of an answer lives. Training the agent on it means you are not writing anything new or maintaining a second copy. You are pointing the agent at the truth you already keep up to date.
The Notion integration is built to be selective and to stay current, because both matter for a knowledge source:
That combination, selective import plus re-sync, is what makes Notion a trustworthy source rather than a one-time dump that quietly goes stale.
Answers that match your documentation. When the agent is trained on your Notion pages, its answers reflect what your team actually wrote, not a guess. That is the whole point of grounding, and it is what makes automated answers safe to rely on.
No duplicate knowledge base to maintain. You keep editing Notion the way you already do. There is no separate content system to keep in step, which is usually where knowledge bases fall out of date.
Faster answers for customers and staff alike. The same knowledge can power customer support on your website and quick internal lookups. Instead of someone searching Notion for the right page, they ask and get the answer.
Content that improves over time. As your team refines its Notion docs, the agent gets better with a re-sync. Your documentation and your agent improve together instead of drifting apart.
A knowledge agent has one job above all: do not confidently state something that is not true. Two things here protect that. The agent answers from the pages you imported, so it is grounded in your own material rather than the open internet. And because you can re-sync, you are not stuck with a stale snapshot from the day you first connected. When your policy changes in Notion, a re-sync brings the agent in line.
This is the same grounding principle behind everything the agent does, whether it is answering on your website, qualifying a lead, or supporting your team. If you want to see how that plays out for support specifically, the customer support agent page goes deeper.
Connecting Notion happens in the dashboard, under your chatbot's sources. You authorize the workspace, choose the pages to import, and the agent trains on them. When your documentation changes, come back and re-sync. The integrations page lists Notion alongside the other sources and channels, and the documentation walks through connecting and syncing step by step.
If you have not built an agent yet, Notion is a great place to start, because it likely holds most of what you would want the agent to know on day one.
Does it import my whole Notion workspace? No. You choose exactly which pages to import, so you control what is in scope and what stays private.
What happens when I update a page in Notion? You can re-sync so the agent learns the updated version. That is what keeps its answers aligned with your current documentation.
Can I see what the agent was trained on? Yes. You can see which pages were imported and when they were last synced, so the agent's knowledge is transparent rather than a black box.
Will it answer from anything other than my content? The agent answers grounded in the pages you imported, which is what keeps its answers accurate to your business.
If your team's knowledge already lives in Notion, connecting it is the shortest path to an agent that answers correctly from day one. You can start free, no credit card required, connect your workspace, and turn the documentation you already maintain into instant answers.
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