Chapter 01

Knowing what is being said before a customer does.

Reddit monitoring isn't a brand-name keyword search. It's a watchlist of threads that influence buying decisions in your category, mapped to the subreddits your ICP actually reads.

The reason most B2B brands have a bad Reddit problem before they realise they have one is that nobody on the team is actually watching. Marketing watches mentions on Twitter, support watches the inbox, and sales watches the CRM. Reddit sits in the gap. By the time a thread ranking for your brand name hits the first page of Google, it has usually been there for weeks. Sometimes months.

What you actually want to track

Brand-name monitoring is the floor, not the ceiling. The floor is obvious. You set up an alert for your company name, your founder's name, your top two products, and your domain. You'll catch most direct mentions and most reviews. That's table stakes.

The work is everything above the floor. Three other watchlists are usually missing.

The first is your category prompts. These are the questions a buyer types when they're deciding which vendor to shortlist. "Best CRM for B2B SaaS." "Alternative to HubSpot." "Is Vendor X actually worth it." For each prompt, you want to know which Reddit threads rank on Google's first page and which threads get cited inside ChatGPT or Perplexity when a user asks the same thing. Those threads are not optional reading. They are the buyer's research material whether you participate in them or not.

The second is your competitors. Brands underweight this and it costs them. If a competitor is being recommended by name in r/devops or r/SaaS or r/ExperiencedDevs five times a month and you are not, the gap compounds. The recommendations get cited by AI, the citations train the next generation of recommendations, and you end up with a slow, structural disadvantage that no ad budget will fix.

The third is your problem space. The category prompts are commercial. The problem space is earlier. Someone in r/sysadmin asking "what do you use for X" is a buyer who hasn't yet decided what to type into Google. If you're only watching commercial prompts, you've already lost the front of the funnel.

What we'd actually do

Build the watchlist as a flat document, not a dashboard. One column for the prompt, one for the subreddits where it shows up, one for the threads currently ranking, one for the date you last reviewed it. Fancy tools come later. The discipline of a person reading the threads every Monday is what produces the work.

The tools, in order

For brand-name and product-name alerts, native Google Alerts plus a Reddit-native search operator (site:reddit.com "your brand") will get you to ninety percent of what you need. Set them daily, not weekly.

For category prompts, the single most useful thing you can do is paste your top ten prompts into ChatGPT and Perplexity once a week and read what comes back. Note which Reddit threads get cited. That citation list is your true target list, regardless of what the keyword tool says about search volume. The query fan-out behaviour of these models means a Reddit thread cited once is often cited again in adjacent prompts, so each thread is doing more work than it looks.

For depth, paid tools like Brand24, Mention, and Reddit-specific scrapers are useful but easy to over-rely on. They produce volume metrics that look like answers and aren't. The signal is what the thread says and who is reading it, not the count.

Mention count is the wrong unit. The unit is whether a thread that gets read by your buyers ends with your brand looking like the right call.

How to read a thread you didn't write

A thread is doing damage when three things are true. The query that surfaces it is commercial, the thread ranks on the first page of Google for that query, and the top comment positions a competitor or a substitute. If only two are true, you have a watch item. If all three are true, it's already costing you money. Chapter 06 covers what to do next. Chapter 04 covers how to keep getting into threads like this in the first place.

Where this fails

Marketing teams treat monitoring as a passive activity. They set the alerts, the alerts fire, the alerts go to a Slack channel, nobody reads the channel. Build the review into a thirty-minute Monday slot for one named person. If nobody has the slot, the work won't happen.

What you should not track

Sentiment scores from off-the-shelf NLP. They are usually wrong on Reddit. Reddit communicates in irony, qualified praise, and inside jokes. A thread that calls your product "actually fine" is positive. A thread that opens with "love this thing" and pivots to a bug report is negative. A model trained on Twitter sentiment will get this backwards. Read the threads.

Vanity metrics. Karma, total mentions, subreddit member counts. They tell you the size of a place, not whether the place decides anything. A 30,000-member subreddit where your ICP spends two hours a day matters more than a 3,000,000-member subreddit where they don't.

Next chapter →02 · Sentiment