ChatGPT Prompts for Non-Spammy Reddit Replies
A prompt library and step-by-step workflow to make ChatGPT write helpful, context-aware Reddit replies that don't feel like marketing.

Reddit rewards the opposite of what most marketing copy is optimized for. People are there to get a straight answer, compare real experiences, and pressure-test options. When your reply reads like a landing page, it gets ignored (or downvoted) even if your product is genuinely a fit.
The fix is not “be less promotional” in the abstract. The fix is to give ChatGPT better constraints so it produces useful, specific, human-sounding Reddit replies that happen to create demand.
Below is a prompt library you can copy, plus a simple workflow to turn any thread into a non-spammy reply in minutes.
What “non-spammy” looks like on Reddit (in practice)
A reply can mention your brand and still feel non-spammy if it does most of these things:
Matches the thread’s intent (advice, troubleshooting, comparison, recommendations, “what would you do?”)
Uses the thread’s details (budget, stack, location, constraints, what they already tried)
Offers a concrete next step the reader can do without you
Keeps claims modest (no hype, no vague “game-changer” language)
Uses a low-friction CTA (often a question, a checklist, or “happy to share how we do it”)
Spammy replies usually fail because they:
Lead with the product name or a link
Skip the context and drop a generic pitch
Sound like copywriting (superlatives, urgency, “DM me,” “limited time”)
Don’t add value unless the user clicks out
The prompts below are designed to force ChatGPT into the first category.
The 6 inputs that make ChatGPT write better Reddit replies
Before you paste a prompt, collect (or estimate) these six fields. You can keep them in a snippet tool.
| Input | What to include | Example |
|---|---|---|
| Thread goal | What the OP wants (choose one) | “Find a tool”, “Fix an issue”, “Compare options” |
| Situation | Constraints and details from the post | “B2B SaaS, $200/mo, needs HubSpot, small team” |
| Audience | Who is reading | “Founders”, “IT admins”, “Freelancers” |
| Your angle | Your real experience or POV | “We tried X and it broke because…” |
| Offer (optional) | Only if relevant, and keep it light | “We built a tool that monitors relevant threads” |
| Boundaries | Style constraints to avoid spam | “No link, no hype, 120-180 words, 1 question” |
If you do nothing else, adding boundaries (length, link policy, tone rules, CTA rules) will improve output dramatically.
A simple workflow: classify intent, draft, then “de-spam”
Most people prompt once and post. Better results come from a tiny prompt chain:
Prompt 1: Identify what the OP actually wants, and what a helpful reply would contain.
Prompt 2: Draft a value-first comment with no brand mention.
Prompt 3: If relevant, add a minimal brand mention (or keep it brand-free).
Prompt 4: Run a spam-risk rewrite pass.
That is it. The rest of this article is plug-and-play prompts for each step.
Prompt 1: Intent classifier (so you stop answering the wrong question)
Use this when you find a thread and want ChatGPT to tell you what kind of reply will land.
Prompt 2: Value-first reply (no product mention, no link)
This is your default. If you can’t be helpful without mentioning your brand, you probably shouldn’t reply.
Prompt 3A: Soft brand mention (one sentence, optional)
Use this only when your product is a clear fit. The goal is “contextual disclosure,” not a pitch.
Prompt 3B: Link-aware version (only if the thread clearly invites resources)
Some threads explicitly ask for tools, docs, or tutorials. If you do share a link, make the comment useful without it.
Prompt 4: The “de-spam” rewrite (spam-risk score + fixes)
This is the prompt that turns “sounds like a marketer” into “sounds like a peer.”
Prompt: Match the subreddit’s tone (without trying too hard)
If you reply in r/startups the same way you reply in r/sysadmin, people notice.
Prompt: The clarifying-question reply (when it’s too early to recommend anything)
A very non-spammy move is to ask 2 good questions and give a small starting point.
Prompt: Comparison reply (when OP asks “X vs Y?”)
Comparison threads are where brands often face-plant by being defensive. This prompt forces balance.
Prompt: “I tried this” experience reply (without faking experience)
If you have real experience, use it. If you don’t, do not pretend you do. This prompt keeps you honest.
Prompt: Objection handler (when someone calls out promotion)
Sometimes someone replies “nice ad” even if you were helpful. Don’t argue. De-escalate and re-center on value.
Prompt: The “reply that earns a DM” (without asking for one)
If you want leads, the least spammy path is often to be helpful enough that people ask.
Prompt: Turn a long answer into a tight Reddit comment
ChatGPT often over-explains. This prompt compresses without losing the substance.
Common “sounds like marketing” phrases to ban (and what to ask ChatGPT for instead)
If your drafts keep coming out salesy, add a banned-phrases line to any prompt.
| If the draft uses… | Ask for… |
|---|---|
| “We’re the best / leading / #1” | A tradeoff, limitation, or “best for X, not for Y” |
| “Try it now” | A low-pressure question or a resource offer |
| “Revolutionary / cutting-edge” | A plain-English explanation of what it does |
| “Guaranteed results” | What to measure, what to expect to learn |
| “DM me” | “If you share details here, I can suggest…” |
A simple line that works in almost any prompt: “Write it like a helpful peer, not a marketer.”
How to operationalize these prompts (without living in your inbox)
If you are replying manually, the bottleneck is not writing. It’s finding the right threads early, consistently.
A lightweight system that works:
Save 3-5 prompt variants (value-first, comparison, clarifying questions, de-spam rewrite)
Keep a swipe file of your best-performing replies (so you can reuse structure, not text)
Track which thread types convert for you (recommendation threads, alternatives threads, troubleshooting threads)
If you want to scale beyond occasional comments, you need monitoring that surfaces relevant conversations continuously.
Redditor AI is built for that workflow: it uses AI-driven Reddit monitoring to find relevant conversations and can automatically promote your brand in context, so you can turn high-intent Reddit conversations into customers with far less manual effort. You can learn more at Redditor AI.
Use this “one prompt” as your default (copy/paste)
If you only take one thing from this article, use this.
Once you have a few strong replies, run them through the de-spam rewrite prompt, save the final versions, and you’ll have a repeatable engine for non-spammy Reddit replies that still drive pipeline.

Thomas Sobrecases is the Co-Founder of Redditor AI. He's spent the last 1.5 years mastering Reddit as a growth channel, helping brands scale to six figures through strategic community engagement.