We detected 302 companies using Alli AI, 56 companies that churned, and 14 customers with upcoming renewal in the next 3 months. The most common industry is Retail (19%) and the most common company size is 2-10 employees (29%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
The count of new companies shown here may differ from the total in the table above. This is intentional. We apply a consistent baseline to ensure month-over-month comparisons are apples-to-apples rather than affected by when data was first collected.
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Market Insights
๐ข Top Industries
Retail54 (19%)
Hospitals and Health Care14 (5%)
Software Development14 (5%)
Advertising Services12 (4%)
IT Services and IT Consulting10 (4%)
๐ Company Size Distribution
2-10 employees85 (29%)
11-50 employees84 (28%)
51-200 employees78 (26%)
201-500 employees29 (10%)
501-1,000 employees14 (5%)
๐ฅ What types of companies use Alli AI?
Source: Analysis of Linkedin bios of 302 companies that use Alli AI
Company Characteristics
i
Shows how much more likely Alli 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
Industry: Hospitals and Health Care
7.1x
Industry: Real Estate
5.9x
Industry: Retail
5.6x
Country: United States
4.8x
Company Size: 51-200
4.5x
Company Size: 501-1,000
4.1x
I noticed that Alli AI's typical customers span an incredibly wide range of industries, but they share a common thread: they're local, customer-facing businesses that need to be found online. I'm seeing law firms handling personal injury cases, restaurants and hospitality venues, healthcare providers, construction companies, real estate agencies, retail stores, and professional services firms. These aren't abstract B2B SaaS companies. They're businesses where customers search Google to find "personal injury lawyer near me" or "Indian restaurant Melbourne" or "concrete contractor Lincoln Nebraska."
The majority of these companies are established, mature small to mid-sized businesses rather than startups. I'm seeing employee counts mostly in the 11-200 range, businesses that have been operating for decades (Metzger Wickersham since 1888, Graftobian since their founding), and very few venture-funded companies. When funding information appears at all, it's typically private equity or modest rounds, not typical startup funding patterns. These are profitable, operational businesses focused on steady growth, not hockey-stick scaling.
๐ง What other technologies do Alli AI customers also use?
Source: Analysis of tech stacks from 302 companies that use Alli AI
Commonly Paired Technologies
i
Shows how much more likely Alli 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 Alli AI users are running sophisticated digital marketing operations with a strong focus on paid advertising and conversion tracking. The combination of click fraud prevention tools (Fraud Blocker and ClickCease), call tracking (CallRail), and analytics (Microsoft Clarity) tells me these are companies spending serious money on ads and obsessively measuring their return on investment. They're not just dabbling in SEO, they're running multi-channel campaigns where every dollar needs to justify itself.
The pairing of Alli AI with ClickCease and Fraud Blocker is particularly revealing. These companies are protecting significant ad budgets from fraudulent clicks, which only makes sense when you're spending enough that bot traffic actually hurts. Add CallRail to the mix, and I see businesses that rely heavily on phone conversions, likely in industries like home services, legal, or healthcare where the sales process still happens over the phone. Microsoft Clarity appearing 17 times more often suggests they're constantly analyzing user behavior to optimize their landing pages and conversion paths.
The full stack reveals these are marketing-led companies in growth mode, likely small to mid-sized businesses with annual revenues between $5-50 million. They're performance-driven and metrics-obsessed, running lean operations where marketing efficiency directly impacts the bottom line. They're past the startup phase where everything is experimental and into the scale phase where they need systems and automation to manage their growth without proportionally increasing headcount.
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