My co-founder Suryansh (product marketing expert) and I were burning way too many nights debugging why our startup's conversion rates were tanking. I'd spent years building adtech and martech software, but we were still juggling between Google Analytics, Google Ads, YouTube Analytics, and SEO tools – each with their own dashboard that felt like archaeological expeditions. After burning 6+ hours weekly just to connect the dots between platforms, we realized we needed something fundamentally different.

So we built Zyler – an AI agent that connects to all your marketing channels (Google Analytics, Ads, SEO, YouTube) and generates unified insights through natural language, without the hallucination problem that plagues most AI analytics tools.

The core problem: Marketing teams are drowning in fragmented data across multiple platforms right as Google deprecates cookies in 2025. You need one dashboard for GA, another for Google Ads, a third for SEO metrics, YouTube analytics somewhere else – and none of them talk to each other. Most AI solutions hallucinate when trying to connect these dots.

What makes this technically interesting:

Zero-hallucination architecture: We've focused heavily on accuracy over creativity – the AI only makes claims it can back up with your actual data across platforms

Natural language to analytics translation: No more switching between 4+ dashboards to understand campaign performance

Mobile-first analytics: First mobile-compatible multi-platform analytics AI agent

Real-time processing: Instant insights from large datasets across GA, Ads, SEO, and YouTube without the usual loading screens

Cross-platform insights: Ask "Why did my YouTube ads perform better than Google Ads last month?" and get unified analysis across all your channels

The drag-and-drop interface makes anyone a "marketing data expert" in about 5 minutes. We're seeing customers reduce reporting time by 80% while getting unified insights across all their marketing channels.

Early traction: Hit Product Hunt top 10, users across 6 continents, and some customers seeing 300% ROI increases. All organic growth so far – no funding raised yet, just Suryansh and me bootstrapping this.

Pricing: $50/month (down from our original $99 pricing) vs the $1000+/month enterprise alternatives, which makes unified marketing analytics accessible for startups and small teams.

It's still rough around the edges, and we're working on expanding to Meta Ads and LinkedIn next.

I'd love feedback, especially on: What other marketing platforms should we integrate next? (Meta, LinkedIn, TikTok?) How do you currently handle cross-platform marketing attribution? Any interest in an API for custom integrations?

Try it out at https://www.zyler.ai – there's a free tier to test with your marketing data.

Happy to answer any technical questions about the AI architecture or product direction – Suryansh can speak to the marketing side and I can dive deep on the engineering!