We detected 238 customers using chatbot.com, 93 companies that churned or ended their trial, and 6 customers with estimated renewals in the next 3 months. The most common industry is Retail (12%) and the most common company size is 51-200 employees (29%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
About chatbot.com
chatbot.com provides AI-powered chatbot software that instantly responds to customer inquiries on websites, LiveChat, Messenger, or Slack, enabling 24/7 automated support. Users can train the chatbot on their business data and customize conversation flows using a drag-and-drop builder without coding.
🔧 What other technologies do chatbot.com customers also use?
Source: Analysis of tech stacks from 238 companies that use chatbot.com
Commonly Paired Technologies
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Shows how much more likely chatbot.com customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that chatbot.com users are primarily marketing-driven companies focused on optimizing their digital presence and customer acquisition. The combination of tools reveals businesses that care deeply about website performance, visitor engagement, and converting traffic into actionable leads. These aren't just companies deploying chatbots as an afterthought. They're running sophisticated digital operations where every visitor interaction matters.
The pairing of LiveChat with chatbot.com makes perfect sense and shows up 145 times more often than expected. These companies want multiple channels for real-time customer engagement, likely routing simpler queries to automated chatbots while escalating complex issues to human agents. The strong presence of Microsoft Clarity alongside Google Analytics tells me they're serious about understanding user behavior, using session recordings and heatmaps to optimize conversion paths. Meanwhile, TheTradeDesk appearing 73 times more frequently suggests they're running paid advertising campaigns and need tools to qualify and engage the traffic they're paying to acquire.
My analysis shows these are marketing-led organizations, probably in growth stage rather than early startup phase. The investment in Yoast for SEO optimization combined with Google Search Console indicates they're working multiple acquisition channels simultaneously, both paid and organic. They have enough traffic and budget to justify tools like Microsoft Clarity for conversion optimization, but they're still focused on efficient growth rather than enterprise-scale operations.
👥 What types of companies is most likely to use chatbot.com?
Source: Analysis of Linkedin bios of 238 companies that use chatbot.com
Company Characteristics
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Shows how much more likely chatbot.com customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Company Size: 51-200
4.2x
Country: US
2.1x
Company Size: 11-50
1.5x
I noticed that chatbot.com users span an incredibly diverse range of industries, but they share a common thread: they're customer-facing businesses that need to communicate at scale. These companies sell everything from standing desks and mattresses to medical services and financial products. Many operate physical locations like hotels, fitness clubs, hospitals, and retail stores, while others provide B2B services like software, consulting, or equipment financing. What unites them is direct customer interaction, whether that's answering product questions, booking appointments, or providing support.
These are predominantly established, mature businesses rather than early-stage startups. The signals are clear: most employ between 50 and 500 people, many mention decades of operation (20+ years is common), and several describe extensive physical footprints with multiple locations. While a handful show seed or Series A funding, the majority appear to be profitable, operationally complex businesses. They're not experimenting with unproven business models but rather optimizing established operations.
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