Author name: Kevin Farley

Kevin Farley is a marketing and growth executive with more than 20 years of experience leading brand, digital, analytics, and experience functions across financial services, technology, and regulated industries. Most recently, Kevin served as Vice President of Marketing at United Heritage Credit Union, where he oversaw marketing, business analytics, member experience, employee engagement, and the organization’s charitable foundation. Under his leadership, the organization strengthened brand visibility, improved engagement metrics, and advanced data-driven growth strategies across multiple business lines. Throughout his career, Kevin has built and scaled high-performing teams, modernized marketing technology stacks, and implemented analytics frameworks that connect brand investment to measurable revenue outcomes. His background includes work with enterprise brands such as Dell, Hertz, Sara Lee, 7-Eleven, TD Ameritrade, and GlaxoSmithKline, as well as deep experience within the credit union and fintech ecosystem. Kevin is also researching AI-powered Generative Engine Optimization (GEO) capabilities that helps organizations measure and improve their AI search readiness, discoverability, and digital authority. His work blends marketing strategy, data science, and practical execution to help institutions compete in an increasingly AI-driven landscape. He is passionate about building systems that drive measurable growth, strengthening community institutions, and helping organizations align brand, technology, and experience to create lasting impact.

AI & Discovery, Marketing Strategy

Your Brand’s First Impression Now Happens Without You

TL;DR The buyer’s first encounter with your brand increasingly happens inside an AI conversation, not on your website. ChatGPT, Perplexity, Gemini, and Google AI Overviews are forming opinions about your company before a prospect ever clicks a link. Most marketing teams aren’t even monitoring this layer, let alone optimizing for it. That’s a problem with

AI & Discovery, Marketing Strategy

What Marketing Leadership Actually Requires in 2026

TL;DRMarketing leadership used to mean owning the brand, managing agencies, and running campaigns. That job still exists, but it’s no longer enough. The marketing leaders who will drive results over the next three to five years are the ones who understand AI-mediated discovery, can build signal infrastructure, and know how to connect marketing activity directly

AI & Discovery

AI Isn’t Fixing Your Marketing. It’s Exposing It.

TL;DR AI isn’t fixing your marketing. It’s making the problems you’ve been papering over impossible to ignore. If your positioning is vague, AI will surface that. If your messaging is generic, AI will skip it. If your data is disconnected, AI will amplify the confusion. The teams that win in an AI-driven market aren’t the

AI & Discovery

Competitive Intelligence in the Age of AI: What’s Changed and What to Do About It

Competitive intelligence has always been about understanding what your competitors are doing, how customers perceive them, and where market opportunities exist. AI hasn’t changed the goal. It’s changed everything else. The tools, the signals, the speed, the scope, and the risk calculus have all shifted. Organizations still running traditional competitive intelligence programs — analyst reports,

AI & Discovery

The AI Readiness Gap: Why Most Marketing Teams Aren’t Ready to Compete in 2026

Most marketing organizations have started experimenting with AI. Few are actually ready for it. There’s a meaningful difference — and it’s becoming the defining competitive gap of 2026. AI readiness isn’t about having a ChatGPT subscription or running a few content experiments with generative tools. It’s about having the infrastructure, data quality, process maturity, and

Marketing Strategy

Scalable Product Marketing: From Awareness to Embedded Growth

By Kevin Farley / February 24, 2026 Product marketing is easy to confuse with messaging. At scale, it is a behavioral system. Whether the product is a payment solution, workflow tool, subscription platform, or financial service, adoption does not happen because of launches. It happens when value is clear, friction is low, and trust is

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