Patel has spent years watching brands spend money at performance marketing dashboards that tell them what already happened. During a conversation with NervNow, the Hector founder makes the case that most brands are not ready for AI, and explains what readiness actually looks like.
A San Francisco founder says new Claude and Manus features disrupted her AI ad startup, highlighting how fast generative AI platforms are reshaping entire software categories.
ByNN Desk
If you are watching competitors appear in ChatGPT while you don't, you are likely confused about how this new SEO works. Traditional ranking tactics don't guarantee AI visibility. In this article, I explored multiple research studies analyzing thousands of AI responses, examined how each major platform selects brands, and investigated real cases to help you understand what actually drives LLM recommendations.
Attribution has never been a technical debate. It’s a political one. While GA4 represents a meaningful step forward from last-click thinking, it remains structurally limited, Google-centric, incrementality-blind, and constrained by short data retention windows. For organizations allocating serious budgets across Meta, LinkedIn, email, offline, and brand channels, relying on GA4 as the single source of truth risks systematic underinvestment and distorted ROI reporting. The modern measurement stack requires triangulation: GA4 for operational signals, multi-touch attribution for directional insight, and marketing mix modelling for strategic calibration. Anything less is guesswork dressed up as precision.
