STAT Search Analytics

Feeling stuck on what to create next? Let SERPs, customers, and competitors do the heavy lifting. This quick guide shows how to turn raw data into real content inspiration 👇

AI search is changing how visibility works, and traditional measurement strategies are being left behind. Here’s the shift: ➡️ Brand mentions > clicks 📈 Expand your tracking to include prompts 💭 Rethink your core metrics If you want to start measuring your AI brand visibility, here’s where to get started: https://bit.ly/3Ofsl7A

Search intent is central to SEO… and a bit of a mystery. You’ll never truly know what a searcher was thinking when they type their query into Google, but here’s the thing: Google probably does 🤯 After all, it’s seen trillions of searches, and its entire business depends on delivering the “right” results. So when the SERP speaks, it’s worth listening. By analyzing how Google chooses to structure the page (organic results, snippets, shopping, maps, etc.), we get powerful clues about what kind of content searchers want, and this is where things get interesting. Real search intent is a blend of what people search and how Google responds. That means a smart SEO strategy doesn’t just chase keywords, it interprets them 💡 We’ve broken down a flexible framework for classifying search intent. So if you’re looking to rank and resonate, this one’s for you: https://bit.ly/4l8k9AS

SERP features now dominate search, but which ones are set to win in 2026? We analyzed 200,000 SERPs across the US and UK markets to see which features rule position one, how AI Mode is reshaping results, and where the real opportunities lie for organic growth. If SERP features are part of your SEO strategy, this is a must-read: https://bit.ly/4bndNeU

The truth is that AI search is only going to become more and more relevant, so now is the time to start measuring and set a baseline. This will help you understand the risks and opportunities compared to your peers. To get you on your way, we’ve identified the four key challenges in measuring AI visibility: 1. Adapting to tracking visibility and brands over traffic and domains 2. Determining what counts as “ranking” 3. Researching prompts to target and track 4. Analyzing variable responses and selecting sample sizes If you’re ready to measure your AI brand visibility, get all the details right here: https://bit.ly/3Ofsl7A

We studied 200,000 SERPs to understand how SERP features have evolved since 2024, and which ones now control the most visibility on desktop and mobile. The takeaway? SEO strategy in 2026 looks very different… Download the full white paper to find out why: https://bit.ly/4bndNeU

With traditional SEO, you primarily care about your own site showing up on the SERP and, hopefully, getting the click. With GEO — and perhaps also with top-of-funnel SEO going forward — a click in the generated response is very unlikely, so you are playing primarily for brand exposure. In other words, you care about the mention, rather than about the explicit linked citation. This means that in the grounding searches that underpin LLM responses, it’s less about who ranks, and more about whether your brand is mentioned in a meaningful way.

Here’s what you’ll learn from our most recent whitepaper: ✅ The most common SERP features ✅ Emerging opportunities to capitalize on ✅ What AI Mode means for the future of the SERP ✅ And many more SERP insights Get your copy today: https://bit.ly/4bndNeU

The thought of having to communicate how algorithm updates affect your bottom line making you queasy? We’ve got just the thing 🧪 Armed with tips from our emergency response guide, you’ll be primed and ready for when those inevitable updates hit. Check it out: https://bit.ly/46KlPtR

GEO is all about showing up in AI search, and to do this, you need to update your traditional SEO tactics. Based on our research, here’s where to start 👀