We built a tool that checks whether a keyword is still worth writing content for, or if Google's AI Overview already answers it, before you brief a writer on it. If your clients are asking "why isn't this content performing" or "should we still be writing about X" this gives a fast way to answer that with real data (search volume, trend, CPC, AI Overview presence and cited sources) instead of a guess or manual check. You keep the client relationship - we handle the data. Open to a revenue share to start, and open to building out white-label for the right ongoing partnership. Also looking at expanding into keyword discovery down the line, not just diagnosis on a list you already have. If useful for your clients, let's chat.

Recent clickstream and GA4 multi-site benchmark data reveals a distinct shift in search user behavior. While SparkToro’s research shows U.S. zero-click Google searches rising to 68%, analytics across nearly 100 ecommerce stores show that traffic arriving directly from ChatGPT converts at 1.81% compared to 1.39% for non-branded Google organic search a 31% higher conversion rate. Because users use conversational AI tools to research and filter options prior to clicking out, traffic arriving via AI referrals carries noticeably higher purchase intent. However, the main operational reality check for SEO growth is sheer traffic volume. Even with AI referral traffic expanding rapidly year-over-year, non-branded Google organic search volume remains roughly 47 times larger than ChatGPT traffic. Furthermore, BrightEdge tracking shows that AI Overview citations overlap with top 10 organic Google rankings only about half the time, meaning page-one rankings on Google no longer automatically guarantee placement inside AI summaries. This leaves practitioners with a clear strategic balancing act: structuring content for entity extraction yields higher-converting visitors, but standard Google organic remains the main engine for raw site volume. For those managing SEO budgets and client retainers right now, are you treating Generative Engine Optimization as an add-on to standard technical and on-page work, or actively reallocating dedicated resources specifically toward LLM visibility?