We detected 428 customers using Botpress, 20 companies that churned or ended their trial, and 26 customers with estimated renewals in the next 3 months. The most common industry is IT Services and IT Consulting (8%) and the most common company size is 11-50 employees (32%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: Our data tracks companies with Botpress deployed on their website and may not include self-hosted or internal-only implementations.
About Botpress
Botpress provides a conversational AI platform that enables users to build, deploy, and manage LLM-powered chatbots and AI agents through an intuitive visual studio with drag-and-drop functionality, extensive integrations, and custom code capabilities for automating complex customer conversations across multiple channels.
๐ Who in an organization decides to buy or use Botpress?
Source: Analysis of 100 job postings that mention Botpress
Job titles that mention Botpress
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Based on an analysis of job titles from postings that mention Botpress.
Job Title
Share
Backend Engineer
16%
Machine Learning Engineer
14%
Product Designer
8%
Director, Information Technology
5%
My analysis shows that Botpress buyers are predominantly technology leaders in digital transformation and AI innovation roles. The 5% Director of Information Technology presence, combined with Head of Digital Solutions positions, reveals that purchasing decisions come from executives focused on conversational AI strategy and automation at scale. These leaders are hiring heavily for technical execution, with Backend Engineers (16%) and Machine Learning Engineers (14%) comprising nearly a third of all roles, signaling investment in building sophisticated AI infrastructure rather than simple chatbot deployment.
The hands-on practitioners using Botpress daily are primarily engineers working across the full AI development lifecycle. I noticed strong emphasis on NLP integration, prompt engineering, and multi-platform deployment. These teams build conversational flows, integrate LLMs with backend systems, and maintain production chatbots across channels like WhatsApp, Slack, and custom web interfaces. The technical depth required suggests Botpress serves organizations moving beyond basic automation toward agentic AI and intelligent operations.
The pain points center on scalability and operational intelligence. Companies describe wanting to "transform the incertitude of risk into the best decision" and create "intelligent operations strategy" through automation. Multiple postings mention "agentic AI," "context-aware conversations," and building systems that "dynamically react to user needs." Organizations are moving from static service management to AI-powered workflows that span observability tools, ITSM platforms, and customer engagement channels, seeking solutions that enable "operational excellence" at enterprise scale.
๐ง What other technologies do Botpress customers also use?
Source: Analysis of tech stacks from 428 companies that use Botpress
Commonly Paired Technologies
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Shows how much more likely Botpress 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 Botpress users are predominantly marketing-focused companies with a strong emphasis on digital presence and conversion optimization. The combination of tools like Google Search Console, Yoast, and Facebook Ads tells me these are businesses investing heavily in inbound marketing and organic discovery. They're not just building conversational AI for the sake of it. They're using chatbots as part of a comprehensive digital marketing strategy to capture, qualify, and convert web traffic.
The pairing of Botpress with Microsoft Clarity is particularly revealing. These companies want to understand exactly how visitors interact with their websites, and then they're deploying chatbots to address friction points in real time. The extremely high correlation with Convert.com, despite the smaller sample size, reinforces this. These are companies running A/B tests and optimizing conversion rates methodically. Adding HubSpot Marketing Hub to the mix shows they're managing substantial lead volumes and need sophisticated nurturing workflows. The chatbot isn't standalone. It's feeding directly into their marketing automation.
My analysis shows these are marketing-led organizations, likely in growth stage rather than early startup phase. They have enough traffic and budget to justify tools like Convert.com and HubSpot, but they're still scrappy enough to need chatbots handling initial customer interactions rather than building out large sales teams. The SEO focus through Yoast and Search Console suggests they're playing the long game with content marketing, building sustainable acquisition channels rather than relying purely on paid ads.
๐ฅ What types of companies is most likely to use Botpress?
Source: Analysis of Linkedin bios of 428 companies that use Botpress
Company Characteristics
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Shows how much more likely Botpress 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: ES
7.6x
Company Size: 501-1,000
6.8x
Industry: IT Services and IT Consulting
6.2x
Company Size: 51-200
4.8x
Country: IN
4.5x
Company Size: 11-50
2.8x
I noticed Botpress attracts an incredibly diverse range of companies, but there's a clear thread connecting them: they're customer-facing businesses that need to communicate at scale. These aren't just tech companies. I see marketing agencies helping SMBs build their brands, immigration consultants processing visa applications, furniture retailers selling online, mortgage lenders serving thousands of borrowers, educational institutions managing student inquiries, and hospitality businesses handling guest services. What unites them is direct customer interaction, whether that's answering questions, processing applications, or guiding purchases.
These companies span the entire maturity spectrum, but most sit in the SMB to mid-market range. The employee counts tell the story: predominantly 11-50 and 51-200 employee ranges, with only a handful exceeding 500. Funding stages are mostly absent or early-stage (seed, Series A), with a few established players mixed in. I see companies that have been around for decades alongside those founded in the last five years. They're past the "garage startup" phase but haven't reached enterprise scale.
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