Most SEO tools still only track classic keyword rankings, but a growing share of searches now happen inside ChatGPT, Perplexity, and Google AI Overviews, where "ranking #1" doesn't apply. Zest Metrics tracks how your brand shows up across both traditional and AI-driven search, so you're not flying blind on half the landscape. Built by the team behind Lemon Pulse, an established SEO consultancy, for agencies and in-house teams who want one clean view instead of stitched-together dashboards.
Every new AI marketing tool leads with "hyper-personalization" dynamic content, predictive recommendations, data-driven targeting. But I keep seeing the same disconnect: tools pitch this as better customer experience, while actual customers describe eerily accurate targeting as unsettling, even when it's useful.
Feels like the industry optimizes for "relevance" because it's easy to measure, while "trust", which might move the opposite direction and gets ignored.
Curious how people building or using this stuff daily see it:
A year ago, "has AI" was enough to try something. Now it feels like every tool has bolted one on, and most of them feel the same. Curious if others are noticing this shift too. What makes an AI feature feel genuinely useful vs. just checkbox-AI at this point?
