No-Code AI Chatbot Builders
A no-code AI chatbot builder allows users to create and deploy their own chatbots without need for any technical knowledge. +Show More
| Products | Position | Customer satisfaction | |||
|---|---|---|---|---|---|
Landbot |
Leader
|
Satisfactory
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With Landbot, users can create lead generation strategies that engage and convert along with personalized conversational chatbots.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
50-100 employees
Company's social media followers
10k-20k followers
Total funding
$10-50m
# of funding rounds
3
Latest funding date
January 20, 2021
Last funding amount
$5-10m
Company
Type of company
private
Founding year
2015
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TARS |
Leader
|
Satisfactory
|
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Use Tars to make a Conversational workflow to talk to your Ad-Click Prospects.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
10-20 case studies
Company's number of employees
30-40 employees
Company's social media followers
10k-20k followers
Company
Type of company
private
Founding year
2015
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Chatfuel |
Leader
|
Satisfactory
|
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Chatfuel is the leading bot platform for creating AI chatbots for Facebook.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
20-30 case studies
Company's number of employees
40-50 employees
Company's social media followers
30k-40k followers
Total funding
$100,000-250,000
# of funding rounds
2
Latest funding date
May 28, 2017
Company
Type of company
private
Founding year
2015
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Gupshup |
Leader
|
Satisfactory
|
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Gupshup.io is the #1 Conversational Engagement Platform for Marketing, Commerce and Support automation powered by AI chatbots, for businesses to deliver human-like conversations, that boost customer satisfaction and revenue at scale. Gupshup's platform handles over 10 billion messages per month enabling over 45,000 businesses engage conversationally with several billion users across popular messaging channels such as WhatsApp, Instagram, SMS, Voice, Mobile Web, Android RCS, Twitter, Telegram, WeChat, FB Messenger, Slack, Viber, Skype and many more. Gupshup's constant innovation enables it to offer market leading features on its platform, enabling developers to build Interactive, Programmable, Omni-channel messaging services. Our global SMS and WhatsApp Business Messaging solutions have been trusted by various domestic and global businesses across various sectors including Financial Services, E-commerce, Retail, EdTech, Hospitality, Travel, Healthcare and many more.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
5-10 case studies
Company's number of employees
1k-2k employees
Company's social media followers
30k-40k followers
Total funding
$250-500m
# of funding rounds
9
Latest funding date
May 19, 2022
Last funding amount
$100-250m
Company
Type of company
private
Founding year
2004
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Botsify |
Leader
|
Satisfactory
|
|
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Botsify is a platform where you can create your own automated chatbots online.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
1-5 case studies
Company's number of employees
10-20 employees
Company's social media followers
3k-4k followers
Total funding
$10,000-50,000
# of funding rounds
1
Latest funding date
July 31, 2017
Last funding amount
$10,000-50,000
Company
Type of company
private
Founding year
2016
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Chatbase |
Challenger
|
N/A
|
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Build customer service virtual agents faster and smarter.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
1-5 employees
Company's social media followers
400-1k followers
Company
Type of company
private
Founding year
2016
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IngestAI |
Challenger
|
N/A
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Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
5-10 employees
Company's social media followers
200-300 followers
Company
Type of company
private
Founding year
2023
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“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.
Sources
AIMultiple uses these data sources for ranking solutions and awarding badges in no-code AI chatbot builders:
No-Code AI Chatbot Building Leaders
According to the weighted combination of 4 metrics
What are no-code AI chatbot building
customer satisfaction leaders?
Taking into account the latest metrics outlined below, these are the current no-code AI chatbot building customer satisfaction leaders:
Which no-code AI chatbot building solution provides the most customer satisfaction?
AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.
While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.
- Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
- Recency is important as products are always evolving.
- Reviews older than 5 years are not taken into consideration
- older than 12 months have reduced impact in average ratings in line with their date of publishing.
What are no-code AI chatbot building
market leaders?
Taking into account the latest metrics outlined below, these are the current no-code AI chatbot building market leaders:
Which one has collected the most reviews?
AIMultiple uses multiple datapoints in identifying market leaders:
- Product line revenue (when available)
- Number of reviews
- Number of case studies
- Number and experience of employees
- Social media presence and engagement
What are the most mature no-code AI chatbot builders?
Which one has the most employees?
Which no-code AI chatbot building companies have the most employees?
34 employees work for a typical company in this solution category which is 11 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 5 companies with >10 employees are offering no-code ai chatbot builders. Top 3 products are developed by companies with a total of 1k employees. The largest company in this domain is Gupshup with more than 1000 employees. Gupshup provides the no-code AI chatbot building solution: Gupshup
Insights
What are the most common words describing no-code AI chatbot builders?
This data is collected from customer reviews for all no-code AI chatbot building companies. The most positive word describing no-code AI chatbot builders is “Easy to use” that is used in 21% of the reviews. The most negative one is “Difficult” with which is used in 2% of all the no-code AI chatbot building reviews.
What is the average customer size?
According to customer reviews, most common company size for no-code AI chatbot building customers is 1-50 Employees. Customers with 1-50 Employees make up 71% of no-code AI chatbot building customers. For an average Conversational AI solution, customers with 1-50 Employees make up 54% of total customers.
Customer Evaluation
These scores are the average scores collected from customer reviews for all no-code AI chatbot builders. No-Code AI Chatbot Builders are most positively evaluated in terms of "Overall" but falls behind in "Likelihood to Recommend".
Where are no-code AI chatbot building vendors' HQs located?
Trends
What is the level of interest in no-code AI chatbot builders?
This category was searched on average for 0 times per month on search engines in 2024. This number is still 0 in 2025. If we compare with other conversational ai solutions, a typical solution was searched 612 times in 2024 and this decreased to 0 in 2025.