Companies that published a GPT in GPT Store

Analyzed and validated by Henley Wing Chiu
All b2b app and integration marketplace OpenAI GPT Store

OpenAI GPT Store We detected 1,697 companies using OpenAI GPT Store. The most common industry is Technology, Information and Internet (20%) and the most common company size is 2-10 employees (86%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists. Note: This data tracks companies that published a GPT in the ChatGPT GPT Store. This excludes individuals and private GPTs. We also track all companies that use ChatGPT here.

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Company Employees Industry Region YoY Headcount Growth Usage Start Date
eney.ai 2–10 N/A N/A N/A
AI Web Tools 2–10 N/A US N/A
n8n.community 2–10 N/A N/A N/A
aimenchenomi.com 2–10 N/A N/A N/A
Adzviser 2–10 Technology, Information and Internet US N/A
Glibatree 2–10 N/A N/A N/A
cureai.co.uk 2–10 N/A GB N/A
webjeje.com 2–10 N/A N/A N/A
organizational.ai 2–10 N/A N/A N/A
botlance.ai 2–10 N/A N/A N/A
AskYourPDF 2–10 Software Development GB N/A
analogchat.com 2–10 N/A N/A N/A
ai-gen.co 2–10 N/A CO N/A
gptmegastore.com 2–10 N/A N/A N/A
myexperts.solutions 2–10 N/A N/A N/A
learnitect-ai.com 2–10 N/A N/A N/A
tylanmiller.tech 2–10 N/A N/A N/A
Yepa Research srl 2–10 Research Services IT N/A
the1ai.com 2–10 N/A N/A N/A
responxe.com 2–10 N/A N/A N/A
Showing 1-50 of 2,769

Market Insights

🏢 Top Industries

Technology, Information and Internet 99 (20%)
Software Development 78 (15%)
IT Services and IT Consulting 33 (7%)
Marketing Services 27 (5%)
Business Consulting and Services 24 (5%)

📏 Company Size Distribution

2-10 employees 1467 (86%)
11-50 employees 127 (7%)
1 employee employees 56 (3%)
51-200 employees 31 (2%)
201-500 employees 7 (0%)

👥 What types of companies are companies that published a GPT in GPT Store?

Source: Analysis of Linkedin bios of 1,697 companies that use OpenAI GPT Store

Company Characteristics
i
Trait
Likelihood
Industry: E-Learning Providers
8.1x
Industry: Technology, Information and Media
7.7x
Funding Stage: Pre seed
7.6x
Industry: Technology, Information and Internet
6.2x
Funding Stage: Seed
3.5x
Company Size: 1 employee
2.0x
I noticed these companies fall into three distinct categories: AI-native toolmakers building productivity solutions (like AskYourPDF, Writesonic, and HIX.AI), traditional SaaS companies extending their platforms with GPT capabilities (like Tactiq, Descript, and Wix), and service providers packaging their expertise into GPT form (like educational writing services, marketing agencies, and consulting firms). The through-line is democratization – they're taking specialized knowledge or complex workflows and making them accessible through conversational interfaces.

The majority are micro-businesses and small startups. Of the companies, roughly 70% report fewer than 50 employees, and many show the "2-10" employee range with an actual count of 1-4 people. Only about 15 companies have raised formal funding, with most seed rounds under $5M. Yet I see some established players too, like MathWorks with 7,800+ employees and Wix post-IPO. The GPT Store appears to be an easy distribution channel for solo founders and small teams to test ideas without significant capital.

🔧 What other technologies do companies that published a GPT in GPT Store also use?

Source: Analysis of tech stacks from 1,697 companies that use OpenAI GPT Store

Commonly Paired Technologies
i
Technology
Likelihood
108.8x
80.4x
42.6x
32.0x
28.1x
26.2x
I noticed these companies are AI-first builders who treat their own products as platforms for partnership growth. The combination of ChatGPT Teams, multiple partner management tools like Rewardful and Partnerstack, and advanced AI development tools tells me these aren't casual GPT experimenters. They're companies building AI products commercially and using partner networks to distribute them.

The pairing of ChatGPT Teams with Rewardful and Partnerstack is particularly revealing. These companies are building on OpenAI's platform while simultaneously running affiliate and partner programs, which suggests they've created products valuable enough to warrant referral economies. The presence of Claude Code and AI coding agents alongside ChatGPT Teams shows they're multi-platform developers who hedge their bets across different AI providers rather than committing to just one ecosystem.

What strikes me most is the MCP correlation. This is a newer, more technical protocol that signals these companies are building sophisticated integrations, not just simple chatbot wrappers. Combined with the coding agents, I see engineering-heavy teams automating their own development workflows while building for others. This stack suggests product-led growth companies in early to mid-stage, likely post-product-market-fit. They've proven their GPT has value and are now scaling distribution through partners rather than traditional sales teams.

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