Bluefish secured $20 million in Series A funding, bringing total funding to $24 million, in a round led by NEA and Salesforce Ventures. The company focuses on generative engine optimization (GEO) for large enterprises and serves mostly Fortune 500 clients, including Adidas and Tishman Speyer. Bluefish provides tools to track brand performance across AI systems, optimize content by generating and rearranging assets, and measure the impact of those optimizations on AI model outputs. The funding will support product expansion and hiring for client-facing and engineering teams. Bluefish emphasizes quality content over high volumes of low-quality output.
On Wednesday, Bluefish, an AI marketing platform that helps advertisers understand and refine how they're showing up in AI queries, announced $20 million in series A funding. The round, which brings Bluefish's total funding to $24 million, was led by NEA and Salesforce Ventures. It's worth pointing out that the word "bluefish" is also the name of a real fish, which poses an obvious challenge for anyone trying to Google the company. Good thing Bluefish (capital "B") is focusing on generative engine optimization (GEO), not SEO. Nice and niche A lot of AI marketing platforms are trying to be everything for everyone, the company's CEO Alex Sherman told AdExchanger. But that isn't Bluefish's goal.
Bluefish was developed "exclusively to support the Fortune 500," said Sherman, who was CEO and co-founder of the now-defunct retail media platform PromoteIQ, which he sold to Microsoft in 2019. Today, 80% of Bluefish's customers are Fortune 500 brands, including Adidas and Tishman Speyer. The new funding will go toward expanding Bluefish's product suite and hiring, with a focus on its client-facing and engineering teams.
Bluefish helps marketers in three major areas, according to Sherman: tracking their performance across leading AI systems like ChatGPT, optimizing performance by generating and rearranging content and measuring the impact of optimizations. The company's measurement tool analyzes how often and how favorably a brand shows up in an LLM's search results and how effective a brand's own content is at influencing the way that AI models describe it. Reaching an audience effectively isn't just about flooding the web with content, Sherman said, although many brands are inclined to do just that. An excess of low-quality content is "wildly unacceptable," he said, but tempting because it's easy to produce.
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