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 -11.1%
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 1-20 of 1,697

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 128 (8%)
1 employee employees 56 (3%)
51-200 employees 30 (2%)
201-500 employees 7 (0%)

👥 What types of companies use OpenAI GPT Store?

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

I noticed the typical OpenAI GPT Store user operates in one of three lanes: they're either building AI-enhanced tools and platforms themselves, offering consulting or agency services to help other businesses adopt AI, or running traditional businesses (jewelry, real estate, finance) that are layering AI capabilities on top of their existing operations. Many are creating productivity tools, chatbots, content generation platforms, or specialized assistants for niche industries like legal, mental health, language learning, and investment analysis.

These are overwhelmingly small, early-stage operations. My analysis shows most companies have between 2 and 50 employees, with many listing just 1 to 10. Very few mention funding rounds, and when they do, it's typically pre-seed or seed stage in the low single-digit millions. The combination of small team sizes, minimal funding disclosure, and relatively recent founding dates (many post-2020) signals these are companies still finding product-market fit rather than scaling proven businesses.

🔧 What other technologies do OpenAI GPT Store customers also use?

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

Commonly Paired Technologies
i
Technology
Likelihood
234.2x
224.6x
119.7x
45.8x
43.0x
30.1x
I noticed that companies using OpenAI GPT Store are building product-led growth businesses centered around AI integration. The extreme correlation with ChatGPT for Teams makes sense, but what really caught my attention were Rewardful and Partnerstack appearing over 200 times more frequently than normal. These are affiliate and partnership management platforms, which tells me these companies are using partner networks to drive customer acquisition rather than traditional sales teams.

The combination of Intercom Fin and Intercom Help Center with OpenAI GPT Store is particularly revealing. These companies are clearly automating customer support at scale using AI, suggesting they have self-service products with lots of users asking similar questions. Meanwhile, the partnership tools indicate they're paying others to bring in customers rather than hiring big sales teams. This is classic product-led growth: let the product sell itself, support customers efficiently with AI, and scale distribution through partnerships. The presence of MCP (likely a payments or subscription tool) reinforces that these are SaaS businesses with recurring revenue models.

My analysis shows these are typically early to mid-stage startups that have found product-market fit and are now scaling distribution. They're definitely product-led rather than sales-led. They're investing heavily in AI infrastructure both as a product feature and as operational leverage. The heavy emphasis on partnership programs suggests they're optimizing for capital-efficient growth, paying commissions instead of salaries.

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