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Dialogflow Review (2024): Pricing, Pros & Cons

Dialogflow is a cloud-based artificial intelligence platform that enables developers to build natural and rich conversational experiences for websites, mobile applications, popular messaging platforms, and IoT devices by integrating voice and text-based conversational interfaces.

Ease of Use
Value For Money
Customer Support

What is Dialogflow?

Dialogflow is a comprehensive platform developed by Google for building chatbots, voice bots, and virtual agents that leverage natural language understanding and artificial intelligence (AI). This platform facilitates the development of chat agents that can understand and engage in human-like dialogue, making Dialogflow an excellent tool for coding chatbots. Available in two editions, Dialogflow CX (advanced) and Dialogflow ES (standard), it incorporates Google’s AI capabilities, including those available in Vertex AI Agent Builder. Dialogflow is part of the extensive suite of more than 100 AI and machine learning products available on the Google Cloud Platform. 

What is Dialogflow Good For?

Dialogflow is particularly effective at building conversational interfaces for websites, mobile applications, and messaging platforms. It excels at interpreting user intent through natural language understanding, enabling the development of sophisticated and intuitive chatbots and virtual agents. These agents can be integrated across multiple channels, including web and mobile apps, to deliver personalized and engaging experiences to users. Dialogflow’s robust AI and machine learning capabilities make it ideal for building chat solutions that require minimal manual intervention and can learn and adapt over time.

Who Should Use Dialogflow?

Dialogflow is intended for developers, businesses, and organizations that want to improve user interactions through advanced conversational AI. It is suitable for a wide range of industries, including but not limited to customer service, e-commerce, and hospitality. Developers can use Dialogflow to rapidly deploy intelligent chatbots and voice bots, while enterprises can use it to improve engagement, automate customer support, and streamline interactions. Dialogflow’s flexibility and powerful AI integration make it a valuable tool for anyone looking to add sophisticated chat agents to their services or platforms.

Dialogflow Company Details

Google, the company behind Dialogflow, was founded in 1998 by Larry Page and Sergey Brin while they were graduate students at Stanford University in California. Since then, Google has grown into a multinational technology company specializing in Internet-related services and products, including online advertising technologies, a search engine, cloud computing, software, and hardware. Google is considered one of the “Big Five” companies in the U.S. information technology industry, along with Amazon, Apple, Meta, and Microsoft. Google’s parent company, Alphabet Inc. was created by a corporate restructuring of Google on October 2, 2015. This move made Alphabet Inc. the parent company of Google as well as several former Google subsidiaries. Google has more than 150,000 employees worldwide and billions of dollars in annual revenue, demonstrating its immense size and influence in the global technology landscape.

Company Name: Google

CEO Name: Sundar Pichai

Est Year: 2017

Employees: 10,001+ employees

HQ Location: Mountain View, California

Sundar Pinchai Google CEO
Sundar Pichai

Dialogflow Demo & Media

Dialogflow Top Features

Generative AI Agent

Users can create agents in a few clicks using Dialogflow and Vertex AI Agent Builder. These allow them to connect web pages or documents to Dialogflow's CX agent and use basic models to generate responses from the content, right out of the box.

Visual Flow Builder

The Visual Flow Builder enables users to reduce development time with interactive flow visualizations that allow builders to quickly see, understand, edit, and share their work. It also enables easy collaboration across teams.

Omnichannel Implementation

With Dialogflow, users can build once and deploy anywhere, including contact centers and digital channels. This enables seamless integration of agents across platforms, including web, mobile, and messenger, and with telephony partners such as Avaya, Cisco, Genesys, and NICE.

State-Based Data Models

Dialogflow allows users to reuse intents, intuitively define transitions and data conditions, and handle supplemental questions - allowing customers to deviate from the main topic and then gracefully return to the main flow.

End-To-End Management

The platform helps address all agent management needs, including CI/CD, analytics, experimentation, and bot evaluation, without the need for additional custom software.

Supplemental Questions

Dialogflow handles conversational drift, then gracefully returns to the main flow

Native IVR Settings

Dialogflow provides the ability to optimize for contact center AI deployments


With Dialogflow, builders can evaluate the quality of their agents to find bugs and prevent regressions.

Speaker ID

Dialogflow provides biometric voice identification technology that can be used to identify and verify users.

Flow-Based Modules

The platform's infrastructure makes it easy to manage individual agents and work on independent streams simultaneously.

Pros of Dialogflow

  • Building agents provide a great user experience
  • Beginner-friendly bot development documentation
  • Seamless interactions
  • Multiple response types
  • Extensive feature set
  • Multiple programming languages
  • Ability to develop no-code natural language processing models
  • Scalability
  • Multilingual support

Cons of Dialogflow

  • Limited Webhooks
  • Somewhat rigid
  • Some features are still in beta
  • Requires a good amount of technical expertise

Dialogflow Pricing

As one of the 100+ products offered by Google Cloud, Dialogflow is priced similarly to many other products in the App Suite. As such, Dialogflow is priced on a monthly basis based on the edition and number of requests made during the month. The platform offers new customers a $600 credit for a $0 trial of Dialogflow CX. This credit is automatically activated upon first use of Dialogflow CX and expires after 12 months. This is a Dialogflow-specific extension of the Google Cloud $0 trial. Additionally, the platform is priced monthly based on the edition and requests made during the month. For example, text feature requests, which includes all DetectIntent, StreamingDetectIntent, and FulfillIntent requests that do not include audio, are priced at $0.007 per request.

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What Kind of Support Dialogflow Offers?

Dialogflow maintains a comprehensive support documentation portal to help customers resolve any issues they may encounter while using the product. Documentation includes answers to some of the most frequently asked questions by other customers, guides to common troubleshooting issues, and answers to common billing questions. In addition, customers with a paid Google Cloud support plan who also use a paid Dialogflow edition can always open support cases through the Google Cloud Support Console. The console includes a Dialogflow CX component for users whose cases are about the Dialogflow CX edition and a Dialogflow Essentials component for those whose cases are about the Dialogflow Essentials edition. The Google Cloud Support team offers different support packages to meet different needs, such as 24/7 coverage, phone support, and access to a technical support manager.
Email Support
Live Chat
Forum & Ticket
Phone Support
Premium Support
Tutorial Video & Help Documentation

Dialogflow FAQs

Yes, it is a legitimate platform for building chatbots, voice bots, and virtual agents using the advanced capabilities of Google AI. It is developed and maintained by Google, a leader in technology and artificial intelligence.
The service is considered worth paying for due to its comprehensive features, which include natural language processing and the ability to create communication agents powered by Google AI. With its two editions, Dialogflow CX (advanced) and Dialogflow ES (standard), it offers flexible options for different needs and budgets, making it even more useful as a chatbot builder. 
It offers built-in integrations for Google AI capabilities in Vertex AI Agent Builder, among others. It is designed to easily integrate with many software and services, including Telegram and Google Assistant, increasing its versatility and utility in building interactive AI solutions. 
Users may face common issues or challenges with the platform, such as the complexity of understanding and implementing its advanced features and integrating it with existing systems. However, these challenges can be mitigated with the appropriate learning and support resources provided by Google. 
The platform is designed to be accessible to beginners, while offering advanced features to meet the needs of more experienced developers. There are two editions to accommodate different skill levels and project complexity.
Many users have reported significant improvements in their chatbot performance after implementing Dialogflow, citing its advanced natural language processing capabilities and integration options as key factors.
No, it is not available as open source software. It is a proprietary platform offered by Google as part of its cloud services.
Yes, it works as an API, allowing developers to seamlessly integrate its interactive AI capabilities into applications and services, including Telegram bots.
Yes, many companies use Dialogflow to build voice bots and voice-based applications, leveraging its natural language technology for effective voice interactions.
It leverages Google AI to enhance its natural language understanding capabilities, enabling the creation of more sophisticated and human-like conversational agents.
Many Dialogflow reviews reflect the fact that the service incorporates Google’s strict privacy policies and security measures to protect user data and ensure compliance with relevant privacy regulations.

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