We detected 168 customers using Writesonic, 48 companies that churned or ended their trial, and 30 customers with estimated renewals in the next 3 months. The most common industry is Software Development (14%) and the most common company size is 11-50 employees (37%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
About Writesonic
Writesonic tracks AI visibility across ChatGPT and 10+ AI platforms, monitors mentions, fixes citation gaps, creates and refreshes content, and targets Reddit and user-generated content forums. The platform provides a complete GEO solution from tracking to action to results.
🔧 What other technologies do Writesonic customers also use?
Source: Analysis of tech stacks from 168 companies that use Writesonic
Commonly Paired Technologies
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Shows how much more likely Writesonic 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 Writesonic users are primarily B2B companies running aggressive outbound sales and marketing operations. The concentration of visitor identification tools like Apollo.io, RB2B, Factors.ai, and Instantly.ai tells me these companies are laser-focused on understanding who's visiting their website and converting that traffic into sales opportunities. They're generating content with Writesonic to fuel demand generation campaigns, then immediately trying to identify and engage those prospects.
The pairing of Writesonic with Apollo.io's visitor tracker makes perfect sense. These companies are likely creating blog posts, landing pages, and ad copy with Writesonic, then using Apollo to unmask the companies viewing that content and feed them directly into outbound sequences. The high presence of LinkedIn Ads alongside these tools suggests a coordinated strategy: run LinkedIn campaigns with Writesonic-generated ad copy, drive traffic to content-rich landing pages, identify visitors, and pursue them with personalized outreach. Zoho Pagesense adds another layer, letting them optimize those landing pages through testing while tracking visitor behavior.
The full stack reveals sales-led organizations in early to mid-growth stages. These aren't product-led companies waiting for users to discover them organically. They're actively hunting for customers through multi-channel outreach. The emphasis on visitor identification tools over product analytics platforms tells me they're more concerned with filling their pipeline than optimizing user onboarding. They're likely startups or scale-ups with aggressive growth targets who need to produce content quickly and convert traffic efficiently.
👥 What types of companies is most likely to use Writesonic?
Source: Analysis of Linkedin bios of 168 companies that use Writesonic
Company Characteristics
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Shows how much more likely Writesonic 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: 51-200
3.6x
Country: US
2.5x
Company Size: 11-50
2.2x
Company Size: 2-10
1.1x
I noticed that Writesonic's typical customers are service providers and technology enablers rather than pure product companies. These are predominantly IT services firms, software development agencies, digital marketing consultancies, and business services companies. They're the implementers, the partners, the agencies that help other businesses transform. Companies like Technosip offering "tailored tech solutions," ScaleupAlly providing "AI-first technology partner" services, or nomtek building "mobile and XR applications in a short time-to-market setup." Even the non-tech companies here, like Soundlines HR Consultancy or Quality Austria Central Asia, are service delivery organizations.
These companies span a wide range of maturity stages, but most sit in that challenging middle ground. I see some seed and Series A startups like Hunters or Graneet, plenty of bootstrapped agencies with 11-50 employees, and established firms with 200+ employees but still privately held. Very few are truly early-stage or Fortune 500 enterprises. The employee counts cluster around 11-50 and 51-200, suggesting growing companies that need to produce substantial content but lack dedicated content teams.
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