Companies that use AISDR

Source: Analysis of tech stacks from 79 companies that use AISDR

I noticed that AISDR users are clearly sales-led B2B companies with aggressive outbound strategies. The pattern is unmistakable: these companies are stacking multiple visitor identification tools (Leadpipe, RB2B, Apollo's tracker) alongside their AI sales development tool. They're not just doing outbound, they're building entire systems to identify and immediately act on buyer intent signals. This is the tech stack of companies that view every website visitor as a potential sales opportunity.

The Leadpipe correlation is particularly revealing. With nearly 24,000x higher usage, these companies are essentially running intent-based prospecting machines. They're identifying anonymous website visitors, enriching that data, and then using AISDR to automatically reach out. The combination with HubSpot Marketing Hub suggests they're orchestrating complex, multi-touch campaigns that blur the lines between marketing and sales. Vector.co and RB2B appearing frequently tells me these companies are obsessed with catching prospects at the exact moment they show interest, not waiting for form fills or inbound requests.

The full picture reveals early to mid-stage B2B companies that are heavily invested in sales efficiency. They're likely post-product-market-fit but pre-massive-scale, which means they need to punch above their weight. They can't afford huge SDR teams, so they're automating the top of funnel while still maintaining personalization. The presence of Readme suggests many are selling to technical buyers, which makes sense because developer-focused companies often need more aggressive outbound since developers rarely fill out forms.

Source: Analysis of Linkedin bios of 79 companies that use AISDR

I noticed that AISDR's customers are overwhelmingly B2B software and service companies selling complex, high-consideration products. These aren't consumer apps or simple tools. They're selling enterprise SaaS platforms, consulting services, IT infrastructure, specialized AI solutions, and technical services that require education, multiple stakeholders, and longer sales cycles. Many are in sectors like software development, IT services, financial services, healthcare tech, and business consulting where explaining value and building relationships is critical to closing deals.

These companies skew toward growth stage. The employee counts cluster heavily in the 11-50 and 51-200 ranges, with many showing seed or Series A funding. They're past the garage stage but not yet massive enterprises. They have enough traction to need systematic outbound sales but still operate with lean teams. The funding data shows companies that have raised capital and need to prove ROI quickly, which explains why they'd invest in sales automation tools.