Companies with a ChatGPT Plugin

Source: Analysis of Linkedin bios of 1,355 companies that use ChatGPT Plugin

I noticed these companies fall into three main clusters: automation and efficiency tools (document management, workflow software, AI platforms), marketplace and intermediary services (visa services, lending marketplaces, logistics platforms), and niche B2B software (CMMS, research management, credit distribution). They're building practical business tools, not consumer apps. Most solve operational problems by connecting systems, automating paperwork, or creating digital marketplaces where manual processes used to exist.

These are predominantly early to growth stage companies. The employee counts cluster around 11-50, with some outliers claiming 51-200 (though the parenthetical numbers suggest actual counts are lower). The funding stage and last funding fields are conspicuously empty across the board, indicating either bootstrapped operations or pre-Series A startups. The companies describe themselves ambitiously but often lack the external validation markers (customer counts, revenue figures, major client logos) that mature companies typically showcase. Many are geographically dispersed across emerging tech hubs rather than concentrated in traditional venture centers.

Source: Analysis of tech stacks from 1,355 companies that use ChatGPT Plugin

I noticed that companies with ChatGPT plugins are deeply invested in AI-first product experiences and modern developer infrastructure. The massive adoption of MCP (124 companies using it) combined with Gemini Prompt Links tells me these aren't just companies experimenting with AI on the side. They're building AI directly into their core product offering, likely positioning themselves as next-generation software tools that compete on intelligence and automation rather than traditional feature sets.

The pairing of Vercel for Backend with MCP makes perfect sense for this audience. These companies need to deploy and iterate quickly on AI features, and Vercel's serverless architecture lets them scale conversational interfaces without managing complex infrastructure. Meanwhile, PostHog Session Recording being 191 times more common suggests they're obsessively studying how users interact with their AI features. They're probably analyzing conversation flows, dropout points, and user confusion to refine their prompts and responses. The Incident.io Status Page correlation is particularly telling because AI services can fail in unpredictable ways, and these companies need transparent communication when their core functionality goes down.

The full stack reveals product-led growth companies in early to growth stage. They're betting on viral distribution through the ChatGPT plugin marketplace while using tools like Mutiny for website personalization to convert that initial interest. The emphasis on session recording and experimentation tools shows they're metrics-driven and constantly optimizing conversion funnels. These aren't enterprise sales organizations with long implementation cycles. They're building self-serve products that users can discover, try, and adopt within minutes.