Companies whose websites link to ChatGPT with prefilled prompts

Source: Analysis of Linkedin bios of 2,534 companies that use ChatGPT Prompt Links

I analyzed these companies and found they're predominantly B2B software and service providers building AI-powered automation tools. They're not just AI companies theoretically, they're companies embedding AI agents into specific workflows: sales automation, customer support, document processing, fraud detection, meeting notes, scheduling, code security, and vertical SaaS platforms. Many sell to other businesses that need to automate repetitive tasks or scale operations without proportionally scaling headcount. A significant portion are agencies and service providers (marketing, design, consulting, staffing) using AI to enhance their delivery.

These companies skew heavily toward early to growth stage. I counted significant seed and Series A/B funding across the dataset, with funding rounds typically between $2M and $20M. Employee counts cluster in the 11-50 and 51-200 ranges. Many explicitly mention being founded in 2021-2024. However, there's a meaningful mix of more established players with 200-500+ employees and no recent funding rounds, suggesting bootstrapped profitability or mature private companies.

Source: Analysis of tech stacks from 2,534 companies that use ChatGPT Prompt Links

I noticed that companies linking to ChatGPT with prefilled prompts are fundamentally AI-native businesses building products or services around large language models. The fact that they're also linking to Claude, Gemini, Perplexity, and Grok with similar prompt structures tells me these are companies that want users to experience AI capabilities immediately, likely offering prompt templates, AI workflow tools, or educational resources about AI.

The pattern is striking. These companies aren't just using one AI model, they're providing access to multiple competing platforms with pre-configured prompts. This suggests they're either building prompt libraries, creating AI comparison tools, or developing multi-model applications where users can test the same prompt across different LLMs. The presence of RB2B, a visitor identification tool, paired with this multi-AI approach indicates they're tracking which prospects engage with which AI models, gathering intelligence on user preferences. Vector.co appearing in the stack makes sense too, as companies dealing with multiple LLMs likely need vector database infrastructure to manage embeddings and semantic search.

The full stack reveals these are product-led companies in early to growth stages. They're letting the product experience (trying prompts directly) do the selling rather than relying on traditional sales outreach. The RB2B inclusion shows they're becoming more sophisticated about converting anonymous traffic into leads, suggesting a transition from pure product-led to a hybrid model. These companies are educating the market about AI capabilities while simultaneously capturing demand.