Somebody just posted "does anyone have a good tool for [your category]?" They have a problem, they have decided to solve it, they are asking strangers for vendors, and they will pick one within days. This is inbound. It just happens to be sitting on someone else's platform instead of your contact form.
Short answer: monitor recommendation phrasing across LinkedIn, X, Reddit and Slack communities; answer within the first hour; and give a genuinely useful answer that names alternatives, not a pitch.
Key Takeaways
| Platform | Volume | Speed needed | Tone required |
|---|---|---|---|
| LinkedIn posts | High | Same day | Professional, name yourself |
| X / Twitter | High | Under 1 hour | Short, casual |
| Medium | Under 2 hours | Disclosed, helpful, or you are dead | |
| Slack / Discord communities | Medium | Same day | Peer-to-peer, never salesy |
| Facebook groups | Lower | Same day | Informal |
The Phrases to Monitor
Recommendation requests are formulaic, which is what makes them easy to catch. Build a keyword group from these patterns, substituting your category:
- "anyone recommend" / "any recommendations for"
- "what are you using for" / "what do you use for"
- "looking for a tool that" / "looking for something that"
- "best tool for" / "best [category] tool"
- "alternatives to [competitor]"
- "we're evaluating" / "shortlisting"
- "[competitor] vs" — comparison questions are late-stage requests
- "is there anything better than [competitor]"
The alternatives to [competitor] pattern deserves special attention: that person has an incumbent, has decided it is not working, and is actively shopping. It is the highest-intent phrase in the list.
Run these the same way as any other keyword monitoring, but with a tighter check cadence, because these decay in hours rather than days.
Where They Appear
LinkedIn. Requests here get the most vendor replies, so differentiation matters more than speed. A generic "we do that, DM me" comment among fifteen identical ones is invisible.
X / Twitter. Fastest decay. A recommendation tweet gets its replies within the first hour and then the author has already picked. If you are not monitoring continuously, you will not catch these. Tooling comparison in best Twitter monitoring and listening tools.
Reddit. The richest source and the most dangerous one. Subreddits like r/sales, r/SaaS, r/marketing and industry-specific communities carry constant recommendation threads, and the answers rank in Google for years. Reddit will punish undisclosed promotion severely — the rules are in how to find B2B leads on Reddit.
Slack and Discord communities. Peer-to-peer trust is highest here and vendor tolerance is lowest. Covered in finding leads in Slack and community groups.
The One-Hour Rule
Recommendation threads follow a predictable arc. In the first hour, replies get read carefully. By hour three, there are twenty answers and the author has stopped reading. By day two, they have shortlisted.
Being first is worth more than being best-written. Practically, that means this signal is only workable if something is watching continuously — a daily check catches maybe a third of these, and always the least fresh third.
How to Answer Without Getting Ignored
The instinct is to name your product. The instinct is wrong, or at least incomplete.
Answer the actual question first. Their post usually contains a constraint — team size, budget, an integration requirement, a specific workflow. Address it.
Name more than one option, including a competitor. Counterintuitive and highly effective. A reply that says "for your case, X is probably the simplest, Y is better if you need Z, and we do the Z part" is read as advice. A reply naming only your product is read as an ad. You still get the click, and you get credibility as a bonus.
Disclose that you work there. Every time, on every platform. "Full disclosure, I work on [product]" costs one line and removes the only real objection to your reply.
Take the detail to DM, not the pitch. Public reply is short and useful; the DM continues it.
A working public reply:
Depends on your team size — under 20 people [common tool] usually covers it and it is cheaper. The place it falls over is [specific scenario], which is what we built [product] for (disclosure: I work there). Happy to point you at either.
And the follow-up DM:
Hi [Name] — replied on your post about [topic]. If [specific constraint they mentioned] is the hard part, here is a 3-minute walkthrough of just that: [link]. If you go with [other tool] instead, that is a fine outcome too.
More structures by trigger in signal-based outreach templates.
The Long Tail Nobody Works
Recommendation threads keep earning long after they are posted. A Reddit thread titled "best [category] tool 2026" ranks for years and gets read by hundreds of buyers who never post anything themselves. A well-written, disclosed, genuinely helpful answer in that thread is a permanent inbound source.
That reframes the work: you are not only answering one person, you are writing an ad that lives in Google's index and is read as peer advice. Which is also why a spammy answer with fifteen downvotes is a lasting liability.
Making It Continuous
Nobody catches these reliably by hand. They appear at unpredictable times across five platforms, they decay in hours, and the phrase variants are wide enough that manual searching misses most of them.
Updately monitors recommendation phrasing across LinkedIn, X and Reddit in real time, filters out the vendor chatter and the already-answered threads, enriches the poster into a profile so you know whether they are ICP, and drafts a reply that answers the specific question asked. Category overview in best social listening tools 2026.
Frequently Asked Questions
Basics
Why are recommendation posts higher intent than other signals? Because the buyer has already passed the "do we need this" stage and moved to "which one". They are shopping, publicly, with a stated deadline implied by the fact that they bothered to ask.
How many of these exist in a typical B2B category? More than most teams expect — commonly dozens a week across platforms once you monitor phrase variants rather than just your category name.
Execution
Should I comment publicly or DM? Both, in that order. The public comment is seen by everyone else with the same question; the DM continues the conversation with the one person who asked.
Do I have to disclose that I work for the vendor? Yes. It is required on Reddit and most communities, it is good practice everywhere, and undisclosed promotion that gets noticed costs far more than the disclosure ever would.
Risk
Will recommending competitors lose me deals? Rarely. Buyers already know competitors exist. Naming them signals confidence, and it puts you in the conversation as an advisor rather than a bidder.