Reddit marketing services for AI companies

Earn the trust before you buy the click

Developers run ad blockers and have seen every inference pitch twice. They do read Reddit, and they believe it. Wafer had months of threads behind it before its first ad, and that ad brought sign-ups at $0.88 each. Run the ads first and you pay dev-tool prices.

Drops your email into the two-minute application.

AI companies we work with

  • Wafer

What AI companies get out of it

  • $0.88

    Pay cents per sign-up, not tens of dollars

    Wafer's cost per sign-up on a two-week retargeting flight to developers who had already read its threads. 1,335 sign-ups, on clicks that cost four cents.

  • 15x

    Bend the usage curve

    Wafer's daily tokens on OpenRouter, from about 5 billion to 74 billion, before the flight had even ended.

  • 0

    Scam threads left on page one

    3D AI Studio had an accusation ranking on its reviews search. Three months of open answers from real users cleared it, and our threads now hold the Reddit slot.

  • 24

    Citations per thread, in a sub you own

    AI citations per thread in a subreddit we run for a brand, against 7 for a thread nobody tends. From about 42,000 citations across 13 clients.

Developers read Reddit before they read your docs

AI buyers are mostly developers, and developers distrust launch posts and have seen every GPU-cloud pitch twice. They do read r/LocalLLaMA, r/artificial and the tool-specific subs, and they believe what they read there. That makes Reddit the cheapest place in the category to earn trust and the most expensive place to lose it. Right now the comparison threads your buyers read were written by whoever showed up first.

Wafer sells hosted inference by the token. Months of organic threads came first, then a two-week retargeting flight reached the developers who already knew the name: 1,335 sign-ups at $0.88, on four-cent clicks. 3D AI Studio had the opposite problem: a paid tool with no free trial, so the reviews search is the checkout page, and a scam accusation was ranking on it. We answered it in the open from real users' accounts, with a comparison thread that drew 37 answers and a thread that puts the scam question in its title. Three months later the accusation was off page one.

  1. 01

    Threads first, ads second

    Skepticism is the house style in AI subs. Honest threads about what the tool does and doesn't do come first, and the ads go to people who have already read them.

  2. 02

    Say what it can't do

    A thread that admits the limits gets believed about the strengths. A launch post that admits nothing gets torn apart in the comments.

  3. 03

    Answer the hard thread yourself

    The scam question, the pricing complaint, the benchmark that went badly. Put it in a title, answer it with receipts, and it stops being someone else's thread.

  4. 04

    Retarget the readers

    Once the threads exist, Reddit ads point at the people who read them. That is the difference between four-cent clicks and dev-tool prices.

The subreddits we have mapped for AI companies

Every one has a guide: who posts there, what gets removed and why, the karma gates and the AutoModerator rules. The right-hand columns compare what happens to an average post with what happened to ours.

15.3M
members
12
subreddits
30%
of posts removed on average
<1%
of ours removed
SubredditMembersPosts a dayPosts removedOurs removed
r/ChatGPT11.7M1932%Not yet
r/LocalLLaMA840k7914%0%
r/ChatGPTPro617k2937%Not yet
r/AI_Agents455k10739%<1%
r/ClaudeCode434k18721%2%
r/vibecoding370k19278%0%
r/LocalLLM237k13716%0%
r/automation236k1541%1%
r/LLMDevs174k4728%2%
r/AgentsOfAI128k2246%0%
r/LangChain109k1220%<1%
r/AiAutomations81k4724%0%

Removal rates are measured on a sample of recent posts in each subreddit, from Reddit's public archive. Our own figure counts our posts and comments there, outcomes only, and is left blank under ten items.

All subreddit guides

Get started in three steps

  1. Step 1: Apply in two minutes

    Tell us the company, who buys from you and what you want Reddit to do for it.

  2. Step 2: Talk it through

    On the call we look at where your buyers already talk and the searches worth owning, and tell you straight if it's a fit.

  3. Step 3: Approve the first drafts

    We write, post and moderate. You sign off each week's drafts and see what ranks and what AI answers cite.

Good fit, bad fit

Reddit only works where a real conversation already exists. We can earn you a place in it. We can't invent it, so we check before taking your money.

Poor fit
Good fit
In-house or an agency already runs Reddit for you
Reddit is unowned or barely touched
Your brand sub is healthy and doesn't need help
Your brand sub is banned, banned-adjacent, or sitting empty
You need results this month
You can give it 90 days
Nobody can approve a draft or sit for an AMA
Someone signs off drafts every week
Nobody in the category discusses the problem at all
People already debate the category, even if the brand isn't mentioned
Book a call

FAQs

Does this work for dev tools?

Especially for dev tools. The buyers are on Reddit all day, and the comparison threads are where they decide. Wafer's $0.88 sign-ups came from developers who had already read its threads.

How do you avoid getting banned?

Real community, real answers, no anonymous accounts, no vote manipulation. That's the whole rulebook, and it's also why bans don't happen.

What does it cost?

The subreddit engagement starts at $5,000 a month. See the pricing page for what's included.

Earn the trust. Then buy the click.

Drops your email into the two-minute application.

Updated November 2026