We detected 37 customers using Rank AI, 21 companies that churned or ended their trial, and 1 customers with estimated renewals in the next 3 months. The most common industry is Software Development (31%) and the most common company size is 11-50 employees (57%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
👥 What types of companies is most likely to use Rank AI?
Source: Analysis of Linkedin bios of 37 companies that use Rank AI
Company Characteristics
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Shows how much more likely Rank AI 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
Company Size: 11-50
5.0x
Country: US
4.9x
I noticed that Rank AI's customers span a remarkably diverse set of industries, but they share a common thread: they're building technology-forward solutions to modernize traditional spaces. These aren't pure tech companies selling to other tech companies. Instead, I see AI phone agents for healthcare, property title search engines for real estate, no-code builders for non-technical users, ticketing platforms for event creators, and even cryopreservation services. They're taking established markets like restaurants, home security, convenience stores, and education and injecting software and AI to transform how these industries operate.
Looking at their stage, these are overwhelmingly early to growth-stage companies. The employee counts cluster between 2-50, with most in the 11-50 range. Funding stages span pre-seed through Series A, with deal sizes typically between $2M-$10M. Many carry Y Combinator or similar accelerator badges. These aren't Fortune 500s, they're companies still finding product-market fit or beginning to scale.
A salesperson should understand that Rank AI's customers are builders and insurgents who move fast and value tools that help them compete against larger, slower incumbents. They're likely resource-constrained, prioritizing solutions that deliver immediate impact. They speak the language of transformation, efficiency, and empowerment, not incremental improvement.
🔧 What other technologies do Rank AI customers also use?
Source: Analysis of tech stacks from 37 companies that use Rank AI
Commonly Paired Technologies
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Shows how much more likely Rank AI 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 Rank AI users are typically early-stage AI or data-driven startups with a strong product-led growth strategy. The combination of Webflow, PostHog, and Intercom Widget tells me these companies prioritize rapid iteration, self-service user experiences, and direct customer engagement without heavy infrastructure overhead. They're building in public, moving fast, and keeping their tech stack lean but sophisticated.
The pairing of HuggingFace with Rank AI is particularly revealing. These companies are clearly working with AI models and likely building ML-powered products themselves, which means they understand the technical challenges Rank AI solves firsthand. The presence of Apollo.io Website Visitor Tracker alongside Intercom Widget suggests a hybrid approach where they're identifying high-intent visitors through tracking while simultaneously offering immediate self-service engagement through chat. PostHog appearing 463 times more frequently shows an obsession with understanding user behavior through event tracking and experimentation, which is exactly what you'd expect from teams that make data-driven product decisions.
The full stack reveals a product-led growth motion with sales assist capabilities. These companies let users discover and try their products independently (Webflow for fast landing pages, HotJar for conversion optimization, Intercom for instant support), but they're also building outbound pipelines with Apollo.io to accelerate growth. They're likely Series A or earlier, with technical founders who choose best-in-class point solutions over enterprise suites. The emphasis on analytics tools (PostHog, HotJar) over traditional marketing automation suggests they're optimizing conversion funnels and product engagement rather than running large-scale demand generation campaigns.
A salesperson approaching Rank AI should expect to talk with technical buyers who value speed, experimentation, and self-service capabilities. These customers likely have sophisticated data needs despite being relatively small, and they'll want to see product value quickly rather than sitting through lengthy enterprise sales cycles.