A Reddit alert on your brand name tells you when a post names you. For most B2B software companies that almost never happens, and the alert is looking in the wrong place. Buyers name brands in the comments under posts that name nobody, and AI engines quote those threads when someone asks them which tool to buy.
Empact Partners is a go-to-market consultancy whose consultants sit inside B2B software companies’ marketing teams. Getting our partners’ products named in those threads is part of our Generative Engine Optimization work: what users say about a product in public and where independent sources mention it decide whether ChatGPT or Google AI Mode recommends it.
In October 2026 we built our own software to watch Reddit for every partner we run Reddit for, because the alerts we could buy found mentions and left the rest of the job to us. Each decision it makes has a version you can run this afternoon with the people you already have.
Most Reddit Mentions Worth Answering Are Comments
Between 5 and 28 October 2026 our software read 345 organic mentions of the partners it watches, meaning mentions written by people we have no hand in. 259 of them were comments, and so were 79 of the 101 it marked for a reply.
The shape repeats. Someone asks which tool to use for a job, the post names no vendor, and the answers do. In 205 of the 259 comments, the thread’s title never named the brand the comment did, and Reddit’s own search reads posts, not comments. A search for your name finds the posts that mention you and skips the reply recommending you to a buyer.
Split by what each mention was, the line runs through the middle of the buying cycle. News about a partner and direct questions about it mostly arrive as posts. Comparisons, reviews and requests for a recommendation arrive as replies, almost without exception.
Reddit carries more comments than posts anyway, so the split says less about buyers than about what a post search misses: three in four mentions, and the buying ones most. One partner with a large user base accounts for 257 of the 345. Without it the split barely moves, with 60 of the other 88 in comments.
You can start reading comments today without us. F5Bot reads new posts and comments in every subreddit for the names you give it and emails you a match, free on its first tier. Reddit Pro, Reddit’s own free suite for businesses, tracks a keyword through its Trends tool.
Put your brand, your product names and your three biggest competitors on either one. It will find more than a post search does, and for a B2B brand that few people talk about yet, still very little with its own name in it.
Watch The Category, Because Your Name Is Rarely In It
Seven of the twelve partners in that count had no organic mention our software could confirm in those three weeks. Some of that is matching, since a name that is also an ordinary phrase only counts with context around it, and nobody has measured what a matcher misses.
People rarely bring up a B2B product unprompted. They bring up the problem it solves. The honest case against any tool is that early on you barely get mentioned, so a few saved searches and a handful of subreddits checked by hand will do.
That holds for a founder checking five subreddits. It stops holding when the five become the eighty or six hundred where a category is discussed and the AI engines look, and when somebody has to count what the competitors get that you do not.
How our software chooses the subreddits
For each partner the watch list starts from the subreddits ChatGPT, Google AI Mode and Claude cite when we ask them that partner’s category questions, which our Empact Panel measures every week. It adds where buyers ask, where the partner and its competitors were discussed in the past year, and where our own team posts.
Weak candidates pass a relevance check first, and a subreddit where the sitewide search finds the partner joins by itself. The list held 3,520 subreddits at build, 82 to 638 per partner. The strongest are read every 15 minutes and the rest hourly, every new post and comment, with competitors’ names matched in the same stream.
A sitewide search for each partner’s unambiguous names runs every 30 minutes on top. What none of it can see is a comment naming the partner in a subreddit outside the list, under a post that does not name the partner, because Reddit offers no search that reaches it. That is why the list is wide.
Your version takes an afternoon
Run these in order:
A wide list with competitor names in it produces matches by the hundred. Most of them are not mentions anybody should act on, and some of them are you.
Write Down What Is Not A Mention Before You Count One
A match is a name in some text. A mention is a person talking about the company. The gap between the two is where a monthly count stops meaning anything, so our software settles it before anything is counted:
In the three weeks those rules, and the read after them, closed 61 matches as not about the partner, kept 89 of our own comments out of the organic count and set aside 52 in partners’ own subreddits.
Leave your own accounts in and the month flatters itself with your own work. Leave the built-on rule out and a platform company’s report fills up with portfolios.
Your version is a short note at the top of the sheet: the spellings that mean you, the phrases that look like you and are not, and the accounts that are yours. What is left after it is a real mention, and it still does not say what anyone should do.
Read Each Mention For What Happened And Who Should Answer
The usual read of a mention is its sentiment, and sentiment is the least useful thing to know about it. A negative mention can be a bug report the partner’s support team should answer today, a churn warning, or someone criticizing a competitor in a thread that names the partner in passing. Each needs a different person.
So we have a model read each mention and write a card, which the consultant reads in this order:
Across the 345 mentions, 101 cards proposed a reply from us and 50 a flag to the partner’s own team, 41 of them complaints only the partner can fix. 145 were marked to watch and 49 to leave alone, so 244 of 345 needed no reply from anyone.
The reply has rules, because a reply that reads like marketing is how a brand gets banned from a community:
The consultant decides on every card. A reply in the card’s thread corrects the read or records what was done, and a person marking a mention “not about them” overrides the read wherever it is counted.
In a sheet, that is four columns beside each link: what happened, who answers, the reply if there is one, and whether it went up.
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Find Mentions In Minutes, Interrupt People Once A Day
Over the three weeks, a post or comment took a median of 17 minutes to go from Reddit to our ledger. A quarter arrived within 9 minutes. The slowest tenth took more than two hours, mostly mentions posted in the five and a half hours each day when our software leaves Reddit’s API alone.
Syften, a Reddit monitoring tool, says it aims for under a minute, which is faster than ours. We did not chase that number, and our first week told us why.
We launched with a card in the partner’s internal channel for every mention as it was found. Four days later the channels were full of them, and I changed it to one message a day per channel, every mention numbered and rendered as its card so a consultant can answer about one by its number.
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A partner whose team asked for every mention as it happens gets an email for each one instead. Detection and interruption are two settings, and a team that sets both to real time stops reading the channel.
Set detection as fast as you can get it, and decide separately who needs to hear at once: usually whoever handles support complaints, and nobody else. For the rest, one read a day works, and our cards treat a thread as worth answering for about a week.
That daily read is where the method turns into a job. Somebody has to open the digest every day, including the days nothing in it matters, approve the replies and send the flags to people in another company. A founder can do that for one brand. For a category, every day, it is someone’s job, or the alert ends up in a folder nobody opens.
Keep What You Did With The Mention, Then Report The Month
A mention with no decision recorded against it gets found, read and argued about again next month. So every mention our software cards also becomes a record on the partner’s Reddit board, in one of five states: replied, reply in progress, passed to the partner, no reply needed, or not about them.
The software re-reads each carded thread a day, three days and a week later to see whether our reply went up and what happened under it. On the 20th of each month every partner gets a report built from that record:
The first report day, 20 October, made the case for watching the category. Eight of the reports we sent covered a month, 20 September to 20 October, with no organic mention of the partner in it.
Every one of them turned to the threads where the category was discussed and the competitors those threads named instead, which tells a partner which subreddits to show up in next and who got there first.
What the report cannot say yet is what a reply was worth. The software has been live since 5 October 2026, and its report measures presence in the threads that matter, not pipeline. Your version is a monthly row in the same sheet: your mentions and each competitor’s, counted in the same subreddits.
We Have Not Found A Reddit Monitoring Tool That Does This Job Better
We have not found a Reddit monitoring tool that does this job better than the one we built. The good tools find mentions well, and some find them faster. Read on their own pages, they stop at the match, where this job starts:
| What the job needs | Ours | F5Bot, Syften | Brand24 |
|---|---|---|---|
| What gets read | Every comment in the subreddits it watches and posts sitewide, in a median of 17 minutes | Yes, sitewide; Syften aims for under a minute | Reddit among many sources |
| Where to look | Starts from the subreddits AI engines cite in the category | You choose; Syften drafts a first setup | You choose |
| Noise filtered | Matching rules, then a read of each mention | AI filter on paid tiers | Filters and tags |
| Your own accounts kept out | Automatic | Not on their pages | Not on its page |
| The read of each mention | Kind, action and who answers, on every card | Not on their pages | Sentiment and intent tags |
| A reply drafted to Reddit’s norms | Under 90 words, no links, or none at all | Not on their pages | Not on its page |
| What was done, kept with the mention | A board record, the thread re-checked for a week | Not on their pages | Tags |
| A monthly report | Organic and created mentions, replies, share of voice | Not on their pages | Share of voice and scheduled reports |
| Someone to act on it | A named consultant | Your team | Your team |
The first row goes to the tools. Syften’s target beats our median, and both alert tools read every comment on Reddit for a name, where ours reads every comment in the subreddits it watches. Brand24’s share of voice is a real report too. The rows that go to us come after the match, and those decide whether a mention gets answered.
We sell the work this software is part of, so weigh the verdict accordingly. Every cell for the other tools comes from the vendor’s own page, read on 29 October 2026, and where a page says nothing, the cell says that rather than no.
The Software Comes With The People Who Run It
We do not sell the software on its own. It is one of the agents we build so a consultant can run more of the work, which is what we mean by marketing engineering, and it runs inside a partner’s Generative Engine Optimization work, beside the Reddit program that puts the partner into those threads in the first place.
Working with us on it runs in this order:
The monitoring’s first report arrives on the first 20th. The program beside it takes quarters to show in the engines’ answers. Before this software existed, our Reddit program for KKday put 60+ explicit mentions of the brand into Japan travel threads read by US travelers in three months, threads that drew more than 3.2 million views.
If Reddit is where your buyers compare tools and nobody on your team can read it every day, book a meeting with me, and we’ll see whether we could work together.
