How Comarketer.ai built an AI-driven marketing tool that personalizes campaigns at scale

As companies prepare for 2025’s marketing challenges, from budget tightening to the need for efficiency at scale, AI-driven tools are taking center stage. At Comarketer.ai, we recently collaborated with Greenplaces, a sustainability platform, to create Regulation Radar: an automated tool that could reshape how teams approach personalization in their campaigns. Here’s how we built a tool that scales tailored marketing without the traditional resource drain—and how similar AI tools could be a game-changer for marketing teams everywhere.

Why personalization at scale matters

The ability to offer clients a seamless, personalized experience has become table stakes for today’s marketing teams. However, true personalization typically requires intensive human effort across data gathering, copywriting, and design—resources that most companies can’t spare. With AI, we saw a new way forward: a scalable solution that doesn’t sacrifice quality for efficiency.

The challenge: Simplifying complex data for a diverse audience

Greenplaces came to us with a clear need: a simple, automated tool that would give clients tailored insights into Environmental, Social, and Governance (ESG) regulations. Compliance is complicated, and keeping up with ESG standards is particularly challenging for growing organizations. In response, we conceptualized Regulation Radar—a tool designed to offer customized compliance insights in minutes, all powered by AI.

A new approach to AI-driven personalization

From the start, our goal was to create a tool that wasn’t just informative but felt personalized and on-brand for every user. Regulation Radar begins by asking users a few targeted questions about their business, such as location, size, and industry.

Welcome screen for Regulation Radar's <1 minute questionnaire.

Using these inputs, the tool’s backend processes user responses through a bespoke ChatGPT model, which instantly generates a polished, branded report. The result is a unique report for each user, personalized with actionable insights and brand-specific recommendations.

But the real game-changer came after report delivery. Our tool analyzes each user’s profile to generate dynamic follow-up insights, such as additional compliance recommendations, helping Greenplaces keep users engaged and informed in a way that feels both organic and valuable.

Example report generated for Comarketer.ai. Access our report here.

AI efficiency: Building a custom tool in a fraction of the time

What might have been a 100-hour, resource-intensive project was accomplished in around 15 hours with AI, transforming what would have required a multi-disciplinary team into a lean, streamlined process. AI allowed us to tackle the complex backend processes traditionally involved in such projects without the usual time and cost.

As Comarketer.ai’s founder Basil Sadiq notes, “While anyone can send an automated email, generating a truly personalized report with links, calls to action, and unique content for each user takes it to another level. We’re showing that this level of personalization is possible—even for teams that don’t have big budgets or extensive resources.”

Scaling marketing impact with AI: Implications for marketing teams everywhere

Regulation Radar has been immensely successful for Greenplaces as a lead-generation tool, sparking interest from new clients and reinforcing value with current ones. But the implications go beyond Greenplaces. The principles behind this tool could help other companies leverage AI for tailored, scalable marketing solutions in 2025 and beyond.

Here’s how similar AI-driven tools could empower teams in various industries:

• Skill gap assessments for EdTech: An EdTech company could use an AI-powered tool to analyze workforce skill gaps and generate personalized learning paths. Companies could tailor these reports to individual users, identifying recommended courses and certifications.
  
  

• Competitive market analysis for tech startups: Tech startups could use AI-driven market analysis tools to deliver unique insights into competitor performance, market opportunities, and customer sentiment. By leveraging AI to gather and analyze public data, marketing teams could identify strengths, weaknesses, and strategic growth opportunities.
  
  

• Financial benchmarking for SMEs: AI-powered benchmarking tools could provide small and medium-sized enterprises with financial performance insights without the need for a full finance team. By comparing metrics against industry standards, SMEs could access actionable guidance for managing costs and boosting profitability.
  
  

• Cybersecurity risk assessments for IT Firms: For IT and cybersecurity companies, AI tools could deliver real-time threat assessments based on the latest intelligence. Personalized recommendations would help clients stay on top of evolving threats and adjust their strategies accordingly.

Looking ahead: AI-powered marketing for a new era

The success of Regulation Radar has inspired us to explore even more ways AI can unlock scalable, effective marketing. In a time when marketing teams are asked to do more with less, we believe personalized, AI-driven solutions will be key to maintaining impact and relevance.

Curious about how AI can help you scale marketing campaigns that resonate on a personal level? Reach out to the strategists at Comarketer.ai to discuss how we can help you transform complex challenges into streamlined, customized solutions.