SE Ranking

What happens when you ask a marketer to choose between intuition and data? A very good episode of Let’s Chunk 🔥 This time, Mordy Oberstein puts Miruna Dragomir, CMO at Planable, in the hot seat for a quick chat about instinct, audience obsession, and why marketers still keep trying to prove the unprovable.

New competitor dashboard in SE Visible 🔥 We added a new way to compare competitor visibility in our AI Search add-on. What’s new: 📌 Add and manage competitors 📌 Set up brand aliases 📌 Compare visibility scores side by side 📌 Analyze visibility across all or selected AI engines It’s designed to make competitor analysis in AI search more practical. You can compare visibility from individual prompts to broader categories, making it easier to see which engines and prompts to prioritize and where you’re already leading so you can strengthen those positions. Try it out for free: https://lnkd.in/dykPTgih

Google’s branded vs. non-branded query filter is one of those small updates that can actually change how you report on SEO. And if you tested it once and moved on, here's why you should bring it back:

We’re all trying to keep up with LLM research. Reading more. Saving more. Sharing more. But maybe the real skill right now is knowing what to ignore?

AI is making everything faster, more scalable, more automated. And at the same time, “human” is becoming a competitive advantage again. That tension shows up clearly in this week’s updates 👇

AI search has produced a lot of takes. Not all of them deserve the confidence they’re delivered with 😉 So we put a few hypotheses to the test to better understand what AI search is actually doing to web traffic. At brightonSEO UK, I’ll be sharing what turned out to be a dead end — and which signals ended up mattering far more than expected. I also have a few free tickets to share, so leave a comment if you’d like one.

It feels like there’s a new LLM study every other day. One says AI traffic converts worse than search. Another says it converts better. A third tells you Reddit is everywhere — but it’s not always clear what to do with that insight. The hard part is figuring out which of these findings actually matter for your case. So we asked experts: ⚡ With so many data studies on LLMs out there, how do you make any of them truly useful? Big thanks to Tory Gray, Nat Miletic, Marie Haynes, Jo Juliana Turnbull, Andy Crestodina, Nicola Agius, Vivian Hoang, Elena Demianenko, and Andrew Zarudnyi for sharing how they filter signal from noise 🔥

The March core update rollout is complete. Now comes the more interesting part — understanding what actually changed. This and more in this week’s digest 👇

This episode starts with peanut butter discourse… …and somehow ends with: your website is useless to AI agents. Just another normal episode of Let’s Chunk with Mordy Oberstein featuring Crystal Carter from Wix 🔥 And of course, we had to ask what Crystal thinks about llms.txt 😉 Watch the episode to find out 👇

AI Results Tracker is now in SE Ranking's Project API 🔥 The moment a client asks about AI visibility, manual workflows start to fall apart. You need to pull data across dozens of projects, structure it around each client’s markets and prompt sets, and bring it into your own reporting environment. With API access, you can turn AI visibility into something you can monitor, segment, compare, and report on at scale. Some examples: → building white-label dashboards for clients → combining AI visibility with rankings and traffic in BI tools → tracking each client’s presence by LLM, market, language, and prompt set → automating recurring reports and alerts across accounts 📌 Learn more: https://lnkd.in/dbPH5Wwi