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Bluefish: The AI Marketing Platform for the Agentic Era

by Ann Bordetsky and Mason MurrayAug 20, 2025

Since the arrival of the open web and online commerce, search engines, marketplaces and social feeds defined information and product discovery for consumers. Entire ecosystems of marketing and advertising infrastructure emerged to help brands and companies participate in new distribution channels. Now, brands and businesses need to adapt to an unprecedented shift in consumer behavior and the rise of the AI agent as a new customer. 

Marketing in the Agent Attention Economy 

In 2025, a trend that was quietly brewing since the launch of ChatGPT, Perplexity and other AI applications suddenly hit critical mass. Consumers are now relying on AI assistants as their first–and potentially only–stop for answers, product recommendations, and purchase decisions. What took years to unfold in the e-commerce, mobile and social eras, has happened overnight with AI applications and brands need to adapt quickly or risk losing relevance. 

Consumers are now defaulting to AI applications for discovery and information 

Over the past two years, AI search has inflected in scale and consumer trust. AI-driven traffic to U.S. retail sites surged 12x over an eight month period.1 And it’s not just an uptick in volume, the traffic is higher intent. More than 40% of consumers now prefer AI recommendations to paid results.2 Visitors referred by AI assistants stay longer (+41%), view more pages (+12%), and bounce less (-23%) than those from traditional channels.1 Yet even as AI lifts engagement quality, marketers are seeing overall site traffic decline 15-25% as more queries are resolved directly within AI search interfaces.3 

AI agents are increasingly the new trusted travel agent, personal shopper, financial advisor, product comparison co-pilot and wellness coach. Today, nearly 1/3rd of consumers turn to AI assistants for travel and finance recommendations.1 This shift places unprecedented influence in the hands of AI platforms.

AI discovery upends the traditional marketing funnel and tech stack 

Where the traditional marketing funnel zigs between customer touchpoints across organic search, social, paid advertising, and email, AI answer engines and agents collapse the customer journey behind a single touchpoint. Consumers are placing their trust in AI to sift through information, weigh trade-offs, and surface the best option. Now, a customer can go from initial discovery, through research, product comparison, and purchase within a single prompt. 

The strategies marketers spent two decades perfecting on Google (SEO + SEM) and social don’t translate to AI channels. At the same time, Google’s longstanding dominance in search is slipping as consumer behavior fragments across answer engines and AI agents. Marketers now need to deploy AI optimization and generative engine optimization (GEO) strategies for more than half a dozen platforms and get ready to manage AI interaction at scale. 

As consumers rely on personalized AI to navigate their daily lives and AI agents become the intermediary for online activity, companies and global brands are no longer just competing in the human attention economy. They must command the attention of AI agents. This new paradigm requires an entirely new marketing infrastructure designed for the AI age. 

Bluefish is the Enterprise–First AI Marketing Platform 

The Bluefish platform is purpose built for the needs of enterprises and global brands to navigate the consumer AI shift. Bluefish provides granular visibility into brand performance across AI assistants at the product, audience, and even AI model level. The platform is designed for the most sophisticated marketing organizations, offering data transparency, granular controls and deploying KPI-driven strategies that tune brand content for specific requirements. Bluefish is designed for scale and global operations, arming Fortune 500 CMOs with we believe the deepest AI coverage in the category, turning insights into action. 

Today, we’re excited to announce our Series A investment in Bluefish. Over the past six months, Bluefish has grown revenue 10x and has seen overwhelming customer demand. Brands like Adidas and Omnicom are choosing Bluefish for their marketing teams. With more than 80% of its customers coming from the Fortune 500, Bluefish is working with category leaders across financial services, auto, CPG and beauty brands.

Our conviction in this category began more than two years ago with our investment in Perplexity, where we saw how AI answer engines would fundamentally rewrite how we use the internet. Bluefish represents the next chapter of this story: enabling brands to actively participate in the agentic era alongside consumers.

The Bluefish team has spent decades building category-creating companies for the world’s largest brands – and building together. CEO Alex Sherman previously co-founded PromoteIQ,  a major retail media platform acquired by Microsoft. CTO Andrei Dunca previously co-founded LiveRail, a leading video advertising platform acquired by Meta. COO Jing Feng held senior leadership roles at Microsoft, PromoteIQ, and LiveRail. They bring exceptional depth, focus and customer obsession to the category, and they clearly thrive on working together. 

It’s a privilege to partner with Alex Sherman, Jing Feng, and Andrei Dunca and to support the team in building the marketing platform for the agentic internet. 

Bluefish is growing rapidly in New York, San Francisco, and Berlin. Check out opportunities to join team here: bluefishai.com/Careers

About the Authors

Ann Bordetsky

Ann is a partner at NEA focused on early-stage investing in AI category creators, consumer and prosumer applications that shape our daily lives and user-centric business software. She loves working with visionary, technical founders who want to build iconic products and generational companies. Ann's experience prior to NEA spans 5 pioneering tech companies, including 2 startup exits and business leadership roles at Uber and Twitter during their hyper-growth phase. She holds an MBA from Stanford and a B.S. from UC Berkeley.
Ann is a partner at NEA focused on early-stage investing in AI category creators, consumer and prosumer applications that shape our daily lives and user-centric business software. She loves working with visionary, technical founders who want to build iconic products and generational companies. Ann's experience prior to NEA spans 5 pioneering tech companies, including 2 startup exits and business leadership roles at Uber and Twitter during their hyper-growth phase. She holds an MBA from Stanford and a B.S. from UC Berkeley.

Mason Murray

Mason joined NEA in 2022 and is currently a Senior Associate on the Technology team, where he focuses on investments in consumer and enterprise companies. Prior to joining NEA, Mason worked on M&A, equity, and debt transactions with Bank of America’s Technology, Media & Telecom investment banking group. Mason graduated from Columbia University with BA degrees in business management and art history.
Mason joined NEA in 2022 and is currently a Senior Associate on the Technology team, where he focuses on investments in consumer and enterprise companies. Prior to joining NEA, Mason worked on M&A, equity, and debt transactions with Bank of America’s Technology, Media & Telecom investment banking group. Mason graduated from Columbia University with BA degrees in business management and art history.