Matteo TittarelliB2B positioning, websites, launches & content | Duolingo streak keeper 🇯🇵

Stop Guessing! Use Data to Verify LLM Citations & Brand Visibility #shorts

13 May 2026 · 0 min

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0:25

In this short, the speaker urges brands to move beyond intuition and assume‑based channel choices. They recommend a three‑step, data‑driven approach: first, define the specific prompts or queries where the brand wants to appear; second, measure how often those prompts surface and examine which sources (citations) large language models (LLMs) draw on when generating answers; and third, let this empirical insight guide decisions about which platforms (e.g., Reddit or alternatives) to prioritize for visibility. The core message is to let measurable citation data steer brand strategy rather than relying on popular opinion.

Again, I think the— don't take my word for it. I think the thing is like, go out there, identify the prompts or the set of prompts that you want your brand to show up for, you know, start measuring them and then understand like what citations the LLMs are using as a reference point to pull back their answers from. And then use that as your guiding light versus just taking it, taking everyone's word for it that like Reddit is the channel that you need to be on. You know, maybe it is Reddit, maybe it's something else. You just need to like get the data to find out, you know.