Companies that use ChatGPT

Source: Analysis of Linkedin bios of 40,642 companies that use ChatGPT

I noticed that ChatGPT users span an incredibly diverse range of operations, but they share a common thread: they're in the business of serving others. These aren't purely product companies. They're school districts educating thousands of students, professional services firms consulting for clients, retail operations serving communities, healthcare providers treating patients, and agencies managing campaigns. What they build or sell is less tangible than physical products. They deliver services, experiences, education, expertise, and solutions to complex problems.

These are overwhelmingly established, operational organizations rather than early-stage startups. The employee counts tell the story: school districts with 1,000+ staff, retailers with thousands of employees, and service firms with decades of history. Most list no funding stages or mention being privately held or family-owned. When funding does appear, it's often Series A or later, or private equity involvement. The phrase "founded in" followed by dates from the 1960s through early 2000s appears repeatedly.

A salesperson should understand that ChatGPT's typical customer is an operational organization managing complexity at scale. They're dealing with people, processes, and communication challenges daily. They value efficiency and quality but are fundamentally relationship-driven, serving clients, students, patients, or communities. They're not building the next disruptive app. They're trying to do their existing work better.

Source: Analysis of 100 job postings that mention ChatGPT

I analyzed 70 job postings mentioning ChatGPT and found that marketing directors (17%), sales and business development directors (13%), and product/design directors (11%) lead the charge in purchasing decisions. These leaders are hiring to build AI-enabled growth engines, with strategic priorities centered on scaling performance marketing, accelerating enterprise sales cycles, and modernizing product experiences. Marketing roles emphasize being "AI-enabled and up to speed on the latest in martech" while sales leadership focuses on using AI to "enhance productivity" and "streamline communication."

Day-to-day users span a remarkably wide range, from individual contributors in content creation and SEO who "leverage AI tools to automate processes" to software engineers building "AI-powered creative workflows" and data scientists developing commercial analytics. Social media managers, SDRs, operations specialists, and even junior roles are expected to be proficient with ChatGPT for tasks like drafting copy, generating insights, optimizing campaigns, and accelerating research. The common thread is using AI to move faster without sacrificing quality.

The pain points reveal companies racing to stay competitive in an AI-first era. They want teams that "leverage AI to amplify our impact" and candidates who are "ready to learn quickly and think critically" with these tools. Multiple postings emphasize needing people who can "blend analytical rigor with creative thinking" and "use AI responsibly to enhance workflow while ensuring human empathy remains at the core." Companies aren't looking for AI experts but rather adaptable professionals who can integrate these capabilities into existing workflows to drive measurable business outcomes.

Source: Analysis of tech stacks from 40,642 companies that use ChatGPT

I noticed that companies using ChatGPT are distinctly modern, digital-first organizations that prioritize remote collaboration and operational efficiency. The presence of tools like Zoom Business, Miro, and Cursor suggests these are distributed teams working on knowledge-intensive projects, likely in tech or professional services. They're investing in cutting-edge productivity tools across their entire organization, not just experimenting with AI in isolated pockets.

The pairing of Cursor with ChatGPT is particularly telling. Cursor is an AI-powered code editor, which means these companies have engineering teams actively building products and likely view AI as a core competency rather than a novelty. The combination of Claude for Work alongside ChatGPT reveals something even more interesting: these organizations aren't married to a single AI vendor. They're sophisticated enough to use multiple AI tools for different purposes, suggesting a mature approach to AI adoption. The presence of Docusign Intelligent Agreement Management and HubSpot Marketing Hub together points to companies running significant B2B sales operations with complex deal cycles that require both marketing automation and contract management.

My analysis shows these are likely growth-stage B2B companies with sales-led or hybrid go-to-market motions. They're past the earliest startup phase, evident from their investment in enterprise collaboration and sales tools, but they're still operationally nimble enough to adopt new technology quickly. The Miro presence suggests strong emphasis on cross-functional collaboration, probably between product, engineering, and go-to-market teams.

A salesperson approaching ChatGPT customers should understand they're dealing with tech-savvy buyers who value efficiency and are willing to pay for tools that provide clear productivity gains. These companies likely have dedicated operations or IT teams evaluating new software, and they're already comfortable with SaaS purchasing decisions. They're not afraid of new technology but they'll want to see concrete ROI and smooth integration with their existing stack.