Top Platforms for Creating Chatbots: A Comprehensive Guide

Developed with the aim of making companies' routines easier and improving customer service, the creation of chatbots is a revolutionary technology that already offers a lot to digital marketing.

In order for them to be done correctly, with full capacity to perform their function with quality, there is what we call a chatbot creation platform. Don't know any? That's okay, this article is designed to present the best options and clear up any doubts about their functionality.

To delve deeper into the subject, check out this exclusive content designed to help you in the process of creating and implementing bots on your website and communication networks!

Chatbot creation platforms in practice

A chatbot creation platform is the environment where you plan, build and deploy bots for channels such as websites, WhatsApp and social networks, without necessarily needing to know how to code. With it, companies organize support flows, capture leads, integrate journeys with CRM and run tests, surveys and complete processes, such as enrollment and document submission. By choosing the right solution, the chatbot becomes a strategic ally to scale support, keep customer experience consistent and follow the institution’s growth.

• • Automate support in digital channels and reduce repetitive tasks for the team.

  • Turn visitors into leads and route contacts to specific teams.

  • Integrate the bot with channels such as WhatsApp, social networks, apps and websites.

  • Run tests, exams, satisfaction surveys and collect documents in a structured way.

  • Use AI, NLP and LLMs to make the chatbot smarter and more contextual.

What you will see in today’s content

• The role of chatbots in optimizing processes and customer service.

  • Main bot functions, such as lead capture, routing and document collection.

• Criteria to choose the best chatbot creation platform for your business.

  • Overview of Landbot, Dialogflow and Manychat platforms and their differentiators.

• Strategies to make your chatbot smarter with AI, NLP, surveys and LLMs.

• How chatbots support more qualified service and bring companies closer to customers.

Enjoy your reading!

Functions and facilities with the implementation of bots

Chatbots were created to optimize processes and help with tasks that previously required the labor and effort of an entire team. However, with the rise of this type of technology, it is possible to find increasingly capable bots with a variety of functions, such as:

• Customer service;
• Converting visitors into leads
• Targeting specific teams
• Applying tests and exams
• Receiving documentation;
• among others.

What are the best platforms for creating chatbots?

For the creation, development and application of these intelligent robots, there are a number of platforms that enable this whole process in a variety of ways, from the most intuitive to the most complex.

Today, we're going to present 4 different pieces of software that can help you in the implementation process, whether it's a chatbot for WhatsApp, other networks or even websites.

Before picking a tool, it’s crucial to remember there is no single “best” option for every business. The right choice depends on your use case: contact volume, main channels (WhatsApp, website, social), CRM integrations, and the team that will manage your chatbot day-to-day.

When comparing no-code chatbot platforms with more technical solutions, look at ease of use, language support, AI features, analytics, security, and data-privacy compliance. Clear criteria like these reduce rework during implementation and help your chatbot scale with the organization.

Check them out and learn how to get the best out of your chatbot platform!

Landbot

Designed to be easy to access, the Landbot was developed so that users can create their creations even without implementing navigation codes.

Interactive, this system is highly rated mainly because it is easy to access and has an intuitive system. Created to capture leads, bots can be exploited on platforms.

Dialogflow

DialogFlow is a platform for creating and managing bots, where it is possible to make the robot capable of understanding natural language, in other words, to make it capable of understanding the most varied types of dialog. All this to offer a more complete and intelligent service, reducing the distance between the customer and their virtual attendant.

With it, you can make integrations such as creating a chatbot for whatsapp, for the hubspot chatbot, chatbot for facebook, apps and website.

See also:

• Customer service chatbot: which is the best channel to use
• What are the types of chatbot? Choose the best one for your business
• How to make a chatbot intelligent? The 5 best tips

Manychat

Manychat is focused on digital businesses that sell and support customers through social and messaging channels. It lets you build automated conversations for Instagram, WhatsApp, Facebook Messenger, TikTok, SMS, and email, acting as a central chat marketing hub for lead generation, customer support, and follow-up campaigns.

Bots built with Manychat behave like virtual assistants inside each channel, providing instant replies, qualifying prospects, and handing off to human agents when needed. This keeps the user in their preferred channel while maintaining a consistent brand experience across the entire journey.

Current Manychat pricing plans include a Free tier with limited features and contacts, and a Pro plan with advanced capabilities priced in local currency and scaled by the size of your contact list. This makes it easier to align chatbot investment with your team’s resources, traffic volume, and revenue goals.

Image: Illustration of an AI chatbot used to automate customer support and assist in building bots for companies.

4 ways to make a chatbot smarter

To make the most of the services your chatbot can offer, you can make this system (even) smarter by using some tools and applications that can add value and usefulness to everything that is built.

From the simplest item to the most complex application, there are different investments that lead to the same goal, but with different results that correspond to the depth and application in the bot.

With that in mind, here's a selected list of the three best ways to optimize your chatbot and make the service provided ever better for the customer and, consequently, for your company!

1. artificial intelligence

With the implementation of Artificial Intelligence, the possibilities and functionalities are considerably expanded. This is because, based on a flow inserted into the system's memory, the bot itself begins a feeding process, where it becomes capable of learning and perfecting the service based on what it sees in everyday practice.

This also brings benefits for data organization, as it becomes more effective and orderly according to its programming. For example, it is possible to carry out the entire enrollment process from registration, through the online test and on to sending the student's documentation, all using the versatility of the chatbot combined with Artificial Intelligence.

2. If done with NPL: daily training

When your bot uses natural language processing (NLP), it can better understand how people actually write and speak, including typos, slang, and informal phrasing. The logic is similar to teaching a child: the more good conversation examples the model receives, the smarter and more accurate its answers become.

That’s why NLP-based chatbots should be trained and reviewed on a daily basis. Updating intents, examples, and responses helps close understanding gaps, expand coverage of new topics, and keep the bot aligned with changes in your offers, processes, and customer expectations.

3. Application of surveys

Last but not least: there is the possibility of applying satisfaction surveys that can help to improve and apply the chatbot. This is already a thermometer used extensively by thousands of marketing teams around the world. Since it is so efficient for understanding behavior and measuring the effectiveness of the action, with a survey it is possible to find out how customers perceive the service.

Based on the data collected through the chatbot itself, the management team can start thinking about solutions and implementations according to the needs presented. The bot is then able to provide information for its own use, optimizing the service provided.

4. Using large language models (LLMs)

A key trend is connecting chatbots to large language models (LLMs) that can generate more natural, contextual responses. These generative models, which power today’s leading AI assistants, help bots handle open-ended questions, complex knowledge bases, and dynamic content with much greater flexibility.

When you bring LLMs into your stack, you should clearly define scope, allowed data sources, and business rules, while also complying with data-protection laws and user-rights requirements. This way, you get the upside of generative AI without losing control over governance, security, or user trust.

A chatbot is the right investment for you!

A chatbot created on the ideal platform, with resources to its advantage and the implementation of services to optimize it, is the recipe for success for companies that want to get closer to their customers and offer an increasingly qualified service.

In addition to what we've explained in this text, there are bots with defined functions, such as systems developed for the customer service sector. Want to know more about this? Check out our post "Customer service chatbot: which is the best channel to use?" and find out which one best suits your needs and market reality!

Don't miss out on this rich content that will help you better define your bot creation process.

Frequently asked questions about chatbot creation platforms

What is a chatbot creation platform?

A chatbot creation platform is an environment that allows you to develop, manage and deploy bots across channels such as websites, WhatsApp, social networks, apps and other systems. In this platform, you design conversation flows, define support rules, integrate with tools like CRM and configure artificial intelligence features. Depending on the chosen solution, this work can be done in an intuitive, no-code way or with more technical resources. The goal is to ensure the bot performs its role with quality, making companies’ routines easier and bringing customer service closer to what people expect.

What is a chatbot used for in customer service and digital marketing?

A chatbot is used to optimize processes and support activities that previously required an entire team’s effort. It can handle customer service, turn visitors into leads, route contacts to specific teams, apply tests and exams, receive documents and run satisfaction surveys. In channels such as WhatsApp, social networks and websites, the bot acts as a virtual assistant that provides immediate responses, qualifies leads and forwards them to the human team when needed. This contributes to faster, more organized service that is aligned with digital marketing strategies and the company’s communication channels.

Which criteria should I consider when choosing the best chatbot platform?

Choosing the best chatbot creation platform depends on your operation’s characteristics. It is important to assess the volume of interactions, priority channels (WhatsApp, website, social networks), CRM integrations and the teams that will operate the bot on a daily basis. You should also compare no-code platforms and more technical solutions regarding ease of use, Portuguese-language support, AI features, reporting and security. Another key factor is compliance with data protection regulations such as LGPD, ensuring proper handling of user data. These criteria help avoid rework and allow the bot to keep up with the institution’s growth in the medium and long term.

What are some of the main chatbot platforms mentioned in this content?

This content presents three main platforms for creating chatbots: Landbot, Dialogflow and Manychat. Landbot stands out for its ease of use, allowing users to build bots without coding, with a focus on lead capture. Dialogflow is centered on natural language understanding, enabling the bot to interpret different types of dialogue and integrate with channels such as WhatsApp, Facebook, apps, websites and tools like Hubspot. Manychat, in turn, is focused on digital businesses that serve customers through social networks and messaging, acting as a chat marketing hub across multiple channels.

How does Landbot work in chatbot creation?

Landbot was built as an easy-to-access platform, enabling users to create chatbots even without programming knowledge. The tool offers an intuitive interface where you can visually assemble conversation flows. Its main focus is lead capture, and the bots can be used in different platforms according to the company’s strategy. In this way, Landbot helps structure service and interactions in a simple way, lowering technical barriers for teams that want to start or scale chatbot usage in their daily operations.

What is Dialogflow’s focus in bot building?

Dialogflow is a bot creation and management platform focused on natural language understanding. This means the bot can better interpret different ways of writing and speaking, offering more complete and intelligent service. This capability narrows the gap between customers and the virtual agent, as the bot understands intents and variations in questions. Additionally, Dialogflow allows integrations with several channels, such as chatbot for WhatsApp, Hubspot chatbot, Facebook chatbot, apps and websites, centralizing the user experience across different touchpoints.

How does Manychat support digital businesses in social media service?

Manychat is designed for digital businesses that mainly serve customers through social networks and messaging. It enables conversation automation in channels such as Instagram, WhatsApp, Facebook Messenger, TikTok, SMS and e-mail, working as a chat marketing hub. With Manychat, you can centralize support flows, lead capture and transactional messages in one place. The bots act as virtual assistants inside the brand’s own channels, providing instant responses, qualifying leads and handing over to the human team when needed. The platform offers a free plan for up to 1,000 contacts and a Pro plan charged in Brazilian reais, with advanced features and pricing that scales according to the number of contacts.

In which ways can I make my chatbot smarter?

You can make your chatbot smarter by combining several strategies. The first is to integrate artificial intelligence resources, allowing the bot to learn from practice and improve its service based on configured flows and real interactions. If the chatbot is built with natural language processing (NLP), it is essential to maintain daily training, reviewing intents, sample questions and answers. Running satisfaction surveys also helps you understand customer perception and guide improvements. Finally, using large language models (LLMs) expands the bot’s ability to handle open questions and more complex content, always with clear business rules, well-defined data sources and compliance with data protection requirements.

Why is a chatbot a sound investment for companies that want to improve service?

A chatbot is a solid investment for companies that want to get closer to customers and provide more qualified service. When built on the right platform, with features aligned to the operation and optimized with AI, NLP, surveys and LLMs, the bot becomes a central piece in the relationship strategy. It helps organize support queues, quickly answer frequent questions, run complete processes such as enrollment and document submission, and support human teams in their routines. As a result, companies gain efficiency and consistency, while customers experience faster, more available service tailored to the channels they already use every day.