How Reddit Scout Surfaces Threads Worth Engaging With

AI models don't just cite your own blog, they cite Reddit threads too, and often a thread carries real citation weight across ChatGPT and Perplexity without your brand ever being mentioned in it.

Where do these threads actually come from? They come directly from LLM citations. When you set up a GEO cluster in Infrasity, you add target prompts (the exact queries and recommendation searches your buyers ask AI models). Infrasity runs those prompts across different LLMs (ChatGPT, Perplexity, Gemini, Claude) and captures every source URL the models cite when answering them. Whenever an LLM cites a Reddit discussion, Reddit Scout indexes it and aggregates its total citation volume across the entire cluster.

Because these threads are already ranking and being actively cited by LLMs for your cluster's prompts, you don't have to guess where to engage. You're looking at the exact forum conversations AI models already trust, which makes it far easier to comment, get picked up by the engines, and rank your brand in future AI answers.

Before you start, make sure a GEO cluster exists with prompts added and a few runs completed, so there's real citation data for Reddit Scout to check threads against.

Here's the flow.

Fetch Reddit citations for a GEO cluster, with brand mentions

Ask for the cluster by name and be explicit that you want brand mentions included, for example:

"Show me the Reddit citations for the Developer Marketing cluster for Infrasity Org with the Brand Mentions"

Claude returns the cluster-level scope first: a 180-day window, 217 threads cited across the cluster's prompt runs, 1,363 total citations, live-checked. Then a single table ranked by citation volume, with citation count, share of total cluster citations, which engines are citing it, and a direct yes/no on whether Infrasity is actually mentioned in the thread. Putting citations and mention status side by side in one table, rather than as two separate lists, makes the gaps immediately visible: ranks 3, 4, and 5 are all meaningful citation volume with a flat no.

Claude then gives the overall picture in plain numbers, including where it came from historically: 211 threads live-checked, 6 with a confirmed mention, a 2.8% mention rate, down from an early peak of roughly 40% back in March when only a handful of prompts had been evaluated, diluting toward that steady state as the evaluated prompt pool and thread count grew to 217. It calls out the single most important thread by name (the rank 1 thread alone drives nearly a third of all citations and does carry a mention, the highest-leverage thread to keep an eye on), and closes by offering to pull the full 50-thread list or check citation trends and competitor share of voice next.

Ask for takeaways

With the full ranked table already in the conversation, ask Claude to turn it into a short set of takeaways, for example:

"please give me some takeaways"

Claude returns five findings, each a distinct read on the data rather than a repeated number: citation volume is heavily concentrated in the #1 thread alone (more than ranks 2 and 3 combined); ChatGPT dominates over Perplexity across nearly every top thread, with almost no Gemini or Claude citations at all; the brand mention rate is low and thinning over time, but the mentions that do exist land in high-traffic spots, 2 of the top 6 highest-volume threads, worth 38% of all citations, do carry a mention; thread growth has plateaued since mid-August, meaning this citation surface looks essentially fully mapped for the current prompt set; and the biggest opportunity is ranks 3 through 5, roughly 8% of total citations with zero brand presence, with the rank 3 thread named directly as the best single candidate to target given how much weight ChatGPT citations carry in this cluster.

From running cluster prompts across LLMs to pulling a ranked table of cited Reddit threads and their brand mention status, this all happens inside one Claude Desktop conversation.

Head to app.infrasity.com and run Reddit Scout on your own cluster to see which of your top-cited threads already carry a mention, and which don't yet.