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Brandlight Secures $30M Series A to Enhance AI Ad Visibility for Major Brands

Brandlight raises $30 million in Series A funding to enhance its AI-driven brand visibility platform for major brands like LG and Estée Lauder.

Brandlight, a Tel Aviv-based adtech startup specializing in AI-powered brand visibility and analytics, has raised US$30 million in a Series A funding round. The round was led by Pelion Venture Partners, with participation from Cardumen Capital and G20 Ventures. This funding will support Brandlight’s efforts to enhance its platform, enabling enterprise marketing teams to monitor, analyze, and optimize their presence within AI-driven search, advertising, and commerce environments.

The investment arrives at a time when AI-driven discovery and advertising are becoming essential components of marketing for major brands. Brandlight positions itself as a key player in navigating this evolving landscape, assisting marketing leaders in anticipating and adapting to changes in how brands are perceived and evaluated in generative AI contexts.

Founded in 2025, Brandlight has rapidly established itself as a partner for many of the world’s largest brands, including Fortune 500 companies like Kimberly-Clark, LG, The Hartford, and Estée Lauder. This new funding will accelerate the development and scaling of Brandlight’s enterprise-grade platform, which is tailored to grant brands greater control over their AI visibility while facilitating a transition to AI-native advertising. Prior to this round, the company secured US$5.75 million in seed funding, bringing its total funding to US$35.75 million to date.

Brandlight’s platform equips marketing teams with the tools necessary to track, analyze, and optimize their brands’ narratives across AI-powered search and advertising platforms. By processing billions of AI-generated signals throughout the customer journey, the platform offers actionable recommendations for marketing, public relations, content, and media teams.

Among its key features, Brandlight provides real-time tracking of brand mentions across AI platforms, conducts sentiment and bias analyses, and identifies significant content sources shaping AI-generated responses. This technology allows brands to monitor and influence how generative AI systems interpret and present their narratives, ensuring a more accurate portrayal and enhanced visibility in AI-driven interactions.

In a competitive market that includes companies like Yext, BrightEdge, Similarweb, and Conductor, Brandlight focuses on delivering actionable insights and optimization specifically for enterprise Chief Marketing Officers (CMOs) and brand leaders.

The rise of AI-native advertising and visibility presents new challenges and opportunities for marketers. Many brands are now allocating dedicated budgets to manage and measure their visibility in AI-driven channels, underscoring the need for proactive brand management. Tools like Brandlight enable marketing teams to influence how their brands are represented in AI-generated content and recommendations.

Furthermore, Brandlight consolidates analytics from search, ads, and commerce, empowering marketers to make informed decisions and respond promptly to shifts in the digital landscape. As AI platforms increasingly dictate consumer access to information and recommendations, traditional strategies in search engine optimization (SEO) and advertising are undergoing significant transformations. Marketers are urged to engage with the factors influencing AI-generated brand narratives.

Brandlight’s platform is strategically positioned to assist enterprise marketers in navigating a rapidly changing environment where AI is redefining brand discovery, evaluation, and selection processes. As the focus on AI-driven strategies intensifies, brands that leverage tools like Brandlight could find themselves better equipped to thrive in this new paradigm.

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Sofía Méndez
Written By

At AIPressa, my work focuses on deciphering how artificial intelligence is transforming digital marketing in ways that seemed like science fiction just a few years ago. I've closely followed the evolution from early automation tools to today's generative AI systems that create complete campaigns. My approach: separating strategies that truly work from marketing noise, always seeking the balance between technological innovation and measurable results. When I'm not analyzing the latest AI marketing trends, I'm probably experimenting with new automation tools or building workflows that promise to revolutionize my creative process.

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