SuperAGI
identifies anonymous website visitors and transforms them into actionable leads by revealing contact details and enriched data, then syncs this information with the CRM to enable AI-driven automated outreach based on real-time intent signals and visitor behavior.
Note: Our data specifically only tracks SuperAGI visitor identification users.
๐ฅ What types of companies is most likely to use SuperAGI?
Based on an analysis of Linkedin bios of random companies that use SuperAGI
Company Characteristics
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Shows how much more likely SuperAGI customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Country: IN
28.0x
Company Size: 51-200
8.4x
Country: US
7.2x
Company Size: 11-50
5.1x
I noticed that SuperAGI visitor identification attracts companies operating in highly technical, innovation-driven spaces. These aren't traditional service businesses. They're building AI platforms, developing blockchain infrastructure, creating VR training systems, automating marketing workflows, and solving complex security challenges. Many are software companies, but they're specifically focused on emerging tech: generative AI, automation, cybersecurity, and digital transformation. Even the non-tech companies like chemical manufacturers and food distributors emphasize their digital capabilities and data-driven approaches.
The language these companies use reveals a striking pattern. They consistently position themselves as revolutionizing or transforming their industries. I saw phrases like "redefining the game," "pioneering advanced AI adoption," "revolutionizing communication," and "transforming workplace learning" appear throughout. They emphasize speed and efficiency with specific metrics: "90 minutes," "10x faster results," "90% reduction," and "zero cost." Words like "seamless," "scalable," "cutting-edge," and "innovative" dominate nearly every bio. These companies clearly value being seen as forward-thinking disruptors rather than steady incumbents.
The funding and size data tells an interesting story. About 40% have disclosed funding, mostly at seed or Series A stages, with funding amounts typically between $2M and $20M. Employee counts cluster heavily in the 11-50 and 51-200 ranges. Very few are under 10 people or over 500. This suggests companies in active growth mode, past the garage startup phase but not yet established enterprises. They have enough traction to invest in tools but still need every advantage to scale efficiently.
A salesperson should understand that SuperAGI's customers are growth-focused companies in competitive, tech-forward markets. They're willing to adopt new tools early if those tools promise measurable efficiency gains. They speak the language of innovation and disruption, so positioning visitor identification as cutting-edge intelligence rather than basic tracking will resonate. These buyers likely evaluate multiple tools simultaneously and expect fast implementation and clear ROI metrics.
๐ง What other technologies do SuperAGI customers also use?
Based on an analysis of tech stacks from companies that use SuperAGI
Commonly Paired Technologies
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Shows how much more likely SuperAGI customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that SuperAGI users are predominantly B2B companies with sophisticated marketing operations and a strong focus on measuring and optimizing their entire funnel. The presence of LiveIntent and Apollo.io's visitor tracking tools tells me these companies are serious about identifying and engaging prospects at scale, while tools like Factors.ai suggest they're tracking multi-touch attribution across their customer journey.
The pairing of LiveIntent with Factors.ai is particularly revealing. These companies aren't just running email campaigns, they're using programmatic advertising to reach prospects across multiple channels and then measuring how those touchpoints contribute to conversions. Adding Apollo.io's visitor tracker into this mix shows they want to identify anonymous website visitors and pull them into nurture sequences. Meanwhile, Weights and Biases appearing in the stack suggests many of these companies are building or training AI models themselves, which makes perfect sense given SuperAGI's focus on autonomous agents. They're not just using AI tools, they're developing AI products.
The full stack reveals these are marketing-led B2B companies in growth stage, likely Series A through C. They've moved past basic marketing automation and are investing in sophisticated attribution and visitor identification technology. The presence of SonarQube Cloud indicates they have engineering teams focused on code quality, while Ahrefs shows they're thinking strategically about content and SEO as acquisition channels. These companies are data-driven and willing to invest in multiple tools to understand what's working.
A salesperson approaching SuperAGI customers should understand they're talking to technically sophisticated buyers who expect integration capabilities and detailed analytics. These companies already manage complex tech stacks and want tools that enhance rather than replace their existing workflows. They're comfortable with AI technology and likely evaluating how autonomous agents can scale their operations.