We detected 165 customers using Chatling, 27 companies that churned or ended their trial, and 10 customers with estimated renewals in the next 3 months. The most common industry is IT Services and IT Consulting (11%) and the most common company size is 51-200 employees (31%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
About Chatling
Chatling provides a no-code platform for businesses to build custom AI chatbots for their websites that handle customer support, lead generation, and knowledge base search. The chatbots can be easily embedded into any website, support multiple AI models including GPT-4 and Claude, and integrate with tools like Zapier.
๐ง What other technologies do Chatling customers also use?
Source: Analysis of tech stacks from 165 companies that use Chatling
Commonly Paired Technologies
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Shows how much more likely Chatling 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 Chatling users are digital-first companies obsessed with tracking, optimization, and understanding every aspect of their web presence. The combination of analytics tools like Microsoft Clarity and Ahrefs Web Analytics alongside conversion optimization tools tells me these are sophisticated marketers who want to see exactly how visitors interact with their sites and where they're coming from.
The pairing of Apollo.io Website Visitor Tracker with Chatling is particularly revealing. These companies aren't just trying to chat with visitors randomly. They're identifying which companies are browsing their site and using that intelligence to inform their conversations. Chargebee's presence suggests many are running subscription or recurring revenue models, which means customer retention and lifetime value matter enormously. Microsoft Clarity showing up 16 times more often makes perfect sense too. If you're investing in a chatbot, you want to see session recordings to understand whether conversations are happening at the right moments and if they're actually helping or frustrating users.
My analysis shows these are marketing-led companies in growth stage, likely Series A to Series B or ambitious bootstrapped businesses. They have enough sophistication to implement a multi-tool stack but are still lean enough to care deeply about conversion optimization. The heavy emphasis on analytics and visitor tracking rather than enterprise sales tools suggests they're running more product-led or marketing-led motions where the website does significant heavy lifting in the sales process.
๐ฅ What types of companies is most likely to use Chatling?
Source: Analysis of Linkedin bios of 165 companies that use Chatling
Company Characteristics
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Shows how much more likely Chatling 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
Country: IN
13.5x
Industry: IT Services and IT Consulting
11.5x
Company Size: 51-200
5.2x
Company Size: 11-50
2.3x
Country: US
2.3x
I noticed that Chatling users span an incredibly diverse range of industries, but they share a common thread: they're in the business of direct customer interaction. These aren't backend infrastructure companies. They're manufacturers like A&E Gรผtermann selling sewing thread, retailers like Talize operating secondhand clothing stores, service providers like Prescribe Digital handling medical transcription, educational institutions like Warsaw Community Schools, and hospitality businesses like Jannah Hotels. What unites them is that they all have customers or stakeholders who need information, support, or guidance.
Looking at company maturity, I see a mix that leans toward established businesses rather than early startups. The employee counts cluster around 50-200 people, with many companies mentioning decades of experience (A&E Gรผtermann has 275 years of heritage, International Pipe was founded in 1978, Brownings the Bakers since 1945). Funding information is mostly absent or shows modest raises, suggesting these are profitable, sustainable businesses rather than venture-backed rockets. They're at the stage where they need to scale customer service without proportionally scaling headcount.
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