feat and the Shift From Traffic Metrics to Recommendation Metrics

Marketing has long been judged by traffic: visits, pageviews, and click-through rates. Those metrics made sense when discovery meant "user searches, clicks a link, lands on your site." In an AI-driven world, discovery often happens without a click—users get answers and recommendations inside AI interfaces, newsletters, and community discussions. Traffic-based metrics miss that entirely. You can have declining traffic and rising demand if your brand is being recommended in the right places.

feat aligns with recommendation metrics: where your brand is mentioned, how consistently, by which sources, and how that translates into AI visibility and revenue. By focusing on the signals that actually drive recommendations—trust, authority, repetition across credible channels—feat helps brands optimize for what moves growth today, not for legacy traffic numbers.

Why Recommendation Metrics Are Harder to Game

Traffic can be bought or gamed with clickbait and aggressive SEO. Recommendation presence is harder to fake: it requires earning trust from creators, media, and communities that AI and buyers actually use. feat supports the kind of sustained, credible presence that builds real recommendation equity. For why trust-based recommendations beat brand content, read Why Trust-Based Recommendations Beat Brand Content. For how influence turns into revenue, see How Featured Marketing™ Turns Influence Into Revenue.

Closing the Loop to Revenue

feat doesn't stop at "you're being mentioned." It connects visibility to outcomes—how AI demand flows, how channels activate, and how that turns into sales. For how feat shows where AI sends demand, read How feat Shows Where AI Sends Demand. For the framework, What Is Featured Marketing™?.