AI search is sending me clients now, and it's mostly because of Reddit

How are you finding Reddit groups that allow you to mention your product?

This makes a lot of sense. I think the biggest mistake is treating Reddit as a volume game instead of figuring out which discussions actually influence the answers people see. A few genuinely useful comments in the right threads can be far more valuable than hundreds of generic posts scattered across unrelated subreddits. The part about tracking competitor mentions is especially interesting, because it gives you a much clearer idea of what the models are actually picking up. I’d definitely recommend checking the data and about how this works before spending time posting blindly.

The thread-level targeting makes sense, identifying the pages AI engines already cite is much more useful than blindly posting across entire subreddits.

I’m curious about the attribution, though. When the compliance brands saw increased traffic after two weeks, how did you separate traffic caused by Reddit/AI mentions from other SEO or marketing activity?

Also, do you find that participating in already-cited threads works better than creating a stronger new post targeting the same query? I’m currently testing this for SongTrailer, so that distinction would be useful.

Really enjoyed this, thanks for writing it up. I hadn't thought about AI answers pulling from just a handful of Reddit threads instead of Reddit as a whole, that reframes things a lot. The point about comments needing to hold up even with the brand name stripped out is a good one. Feels like a useful gut-check for genuine vs. promotional, not just for Reddit but anywhere you're trying to be helpful online.

Thanks for sharing what's working, posts like this are genuinely useful for the rest of us still figuring this stuff out. Did you stumble onto this pattern by accident, or were you specifically looking for it?

You're right about the scarcity, and it's the part most people miss — the model pulls from two or three threads per query, so posting everywhere is dead on arrival. A tool that surfaces the exact URLs getting cited for your prompts is genuinely useful intel.

The done-for-you persona campaigns are where it eats itself, though. Those threads only get cited because they read as real human consensus. Once there's an industry quietly seeding brand mentions through aged accounts, that's exactly the signal the models start discounting — you're strip-mining the thing that makes the channel work, until it doesn't. And "comments that stand on their own with the brand stripped out" describes a genuine comment. If it's that good, it doesn't need the aged persona. That layer only exists because the mention is the actual point, not the contribution.

This is really interesting. Am I understanding it correctly that we could ask AI the questions we care about, look at the Reddit threads it references, and then contribute genuinely to those discussions? I’m curious how AEORank makes that process more reliable or scalable.

I think the biggest takeaway here isn't just Reddit; it's understanding where AI gets its answers from. A lot of people assume publishing more content automatically increases visibility, but if AI is citing a small set of trusted discussions, then contributing meaningfully to those discussions becomes much more valuable than posting everywhere. It'll be interesting to see how this evolves as AI search continues to mature.

The insight about AI pulling from a handful of threads is right, and it matches what I see with SocialPost.ai showing up in AI answers. The part I'd push back on is the aged-accounts-with-personas play: you're renting a moat that disappears the moment Reddit or the model providers get better at detecting it. Real customers arguing for you in those threads is slower, but it's the only version that compounds.

The "small handful of threads" insight is the key thing most people miss. I've been watching this pattern with CalculatePilot (free calculator site I just launched) — our llms.txt and structured data are solid, but the AI citation game is really about being in the right specific thread when the model was trained or when it's pulling live results.

The AEORank angle of showing exact cited URLs rather than just "post on Reddit" is genuinely more useful than the generic advice. Curious whether you're seeing different citation patterns between ChatGPT (which pulls from training data mostly) vs Perplexity (which does live web retrieval) — because the strategy for getting cited by each seems meaningfully different.

For a tool-heavy site like mine the bet has been on structured data + llms.txt to get cited directly rather than via Reddit, but I'm watching whether that holds as AI search matures. Have you seen calculator/tool sites show up in your citation data, or is it mostly content/advice pages?

Interesting approach. As AI search evolves, visibility will depend less on publishing more content and more on being cited in trusted discussions. Companies like GeekyAnts, Thoughtworks, and EPAM seem well-positioned because of their strong technical content footprint.

the 'five threads, not all of Reddit' framing makes a lot of sense, explains why people post everywhere and see nothing. curious how you handle threads that get buried after a week or two, does citation stick once a model picks them up or does it drift back out if the thread goes quiet?

The hardest part isn't posting on Reddit. It's finding the threads AI actually keeps citing. That's a much smaller target than most people think.

The interesting part here is that once you turn something like this into a done-for-you service, the bottleneck probably shifts from finding the opportunity to executing consistently across clients.

Curious, what part of running these campaigns takes the most manual effort right now finding opportunities, creating the content, reporting, or managing client communication?

The core observation is genuinely sharp — the model

isn't reading all of Reddit, it's pulling from a tiny

handful of threads per query, so blanket posting

everywhere is wasted effort. Knowing *which specific

threads* an engine cites for your space is a real

insight most people miss. That's a legitimately useful

reframe.

The part I'd be careful about — and this is just my

honest read — is the aged-accounts/personas angle.

Reddit's whole trajectory right now is cracking down

on exactly that, and even when comments "stand on

their own," the account pattern is what gets flagged.

I've been growing in these communities the slow,

genuine way (real account, real participation)

specifically, because the manufactured version feels

one policy changes away from getting torched.

Genuinely curious though — for the targeting part, once

someone knows the specific threads being cited, do you

find it works just as well with genuine first-person

participation as with the done-for-you personas? Because

the "know where to show up" half seems durable in a way

the "manufacture who shows up" half might not be.

I love the idea. A small amount of targeted effort beats "spray and pray" any day.

Looks good, will take a look and let you know about my feedback

This matches what I've seen too — the "post everywhere and hope" approach to Reddit/AEO almost never works because the model is only pulling from a handful of threads per query, not the whole subreddit. The harder part in my experience is that those winning threads shift over time as new discussions get indexed, so it's not a one-time audit, it needs ongoing monitoring. Curious how often you re-run the thread discovery for a given client — weekly, monthly?

This is the part most people miss. It is not about “being on Reddit” in general, it is about showing up in the exact threads that actually shape the answer. If your comment would not still sound useful with the brand name removed, it probably will not move anything.

I actually tried your tool, landing page is solid and clearly communicates the idea, but the dashboard needs improvement in terms of clarity and usability. Also, the pricing feels a bit heavy upfront, especially with no real free way to properly test the core value. Right now it’s hard to judge if the tool is worth it without being able to experience the main feature in action first.

the insight about AI engines pulling from a handful of threads rather than all of Reddit is the key framing here. most people still think of it as "post more = more visibility" when the actual mechanism is citation-specific.

we're seeing something similar with how people approach AI skill-building. everyone thinks volume (more courses, more tools) equals proficiency, when really it's about being in the right conversations and having the right depth on specific topics. precision beats volume in both SEO and skill development.

Reddit is one of the most indexed sites on the internet, which is why its extremely underrated(but risky) to promote your saas on there

Interesting perspective. AI search visibility is becoming a new part of SEO. I think the biggest challenge is not just getting mentioned, but actually creating useful discussions and resources that AI systems consider valuable.

The point about focusing on the specific conversations that influence AI answers instead of randomly posting everywhere makes a lot of sense.

The diagnostic half of this is the real business: showing founders the exact five threads an answer gets built from is worth paying for on its own. The done-for-you persona side is where I'd be careful as a buyer. The account farm is a rented asset, and the brand takes the downside if it burns.

Congrats on the launch! The design looks super clean and straightforward. Building in public is definitely the best way to get early feedback. Wishing you the best of luck with traction and users!

The “AI cites a tiny slice of Reddit” framing matches what I’ve been seeing too. Blind posting everywhere is mostly noise if you’re not in the threads models already trust.

Useful angle: showing which URLs get cited for a prompt, not just “be on Reddit.” For a compliance tool case, was the lift mostly branded queries, or problem-space prompts (“how do I…”) where the Reddit thread was the answer body?

Reverse-engineering AI search citations back to the specific Reddit threads ChatGPT and Perplexity pull from is brilliant. Targeting those exact high-ranking threads instead of blindly posting across subreddits is top-tier GEO (Generative Engine Optimization). Great work!

The placement half of this I buy. One lever on the other half that nobody in the thread has mentioned, and it's the highest return per minute I've found: IndexNow.

A lot of the AI answer surface reads from indexes you can push into rather than wait on — Copilot sits directly on Bing, and plenty of assistant and agentic-browser stacks query Bing or Brave search APIs underneath. Bing accepts IndexNow submissions: get a key from Bing Webmaster Tools, host it at your domain root, then POST your URLs on every publish. Pages land in hours instead of whenever a crawler wanders by. One key per domain, one script wired into the deploy step, done in an afternoon. Somebody above mentioned llms.txt and robots.txt, which is the same family of problem — but those are passive, they only pay off when a crawler eventually shows up. IndexNow is the one where you get to initiate.

Why this supports your thesis rather than competing with it: the thread is what gets you named, but there's usually a verification hop to your own site before a model will actually recommend you to someone. If your pages aren't in the index that hop comes back empty, and you can lose the citation even though the mention was sitting right there. Placement gets you into the conversation; being indexed is what lets you survive the fact-check.

Also worth knowing it's not Bing-only — the same IndexNow ping fans out to Yandex, Seznam and Naver, which matters if any of your buyers aren't in English-speaking markets.

As someone working on SEO for a font conversion tool, this is a useful perspective. AI visibility is becoming just as important as traditional search.

Interesting problem — the "which 2-5 threads is the model actually citing" framing makes sense given how retrieval-augmented answers work.Curious about the mechanism though: are you inferring the source threads from the citations/links models like Perplexity surface directly, or sampling a bunch of prompts and reverse-engineering which pages keep showing up? Those give pretty different reliability guarantees, and the second one seems like it'd drift as the underlying index/ranking changes.

Also, genuine question on the "aged accounts with real personas" part of the campaign side — isn't that pretty squarely against Reddit's ToS on inauthentic/coordinated behavior? Feels like it'd be a real risk (ban, or worse for the brands you're running it for) even if the comments themselves read as organic individually.

The useful distinction is not “Reddit matters,” but that only a small set of source pages matter for each prompt. I’d still be careful with attribution, though: a traffic increase after two weeks is promising, but the strongest proof would connect specific thread placements to citation changes across tracked prompts and models.

This is genuinely useful — most AI visibility advice stops at "post on Reddit" without explaining which threads actually matter. The idea of finding the exact URLs being cited is a smart shortcut. Curious how quickly the cited sources rotate — does AEORank track changes over time, or is it more of a snapshot? Also the point about aged accounts and standalone comments is something most people skip and then wonder why they get flagged. Good stuff.

Interesting results. I’ve also noticed that helpful discussions on community platforms can appear in AI search results. The key seems to be sharing real experience instead of posting promotional links. Did Reddit traffic also improve your Google rankings, or mainly bring direct clients?

The placement side you're describing (which threads AI actually pulls from) is one half of this. There's a technical floor underneath it that's worth checking too: a lot of sites never get crawled or parsed in the first place regardless of how good the placement is — blocked in robots.txt, no llms.txt, JS-only content a crawler can't read. Doesn't matter how many good threads mention you if the model can't read your own site when it goes to verify.

Built a free checker for that specific piece (no signup, called AI Visibility Score, findable on Product Hunt). It doesn't touch the placement/Reddit question at all, just whether a crawler can technically reach and parse what's already on your site.

The underlying insight here is solid — AI models don't index "Reddit" as one blob, they reference specific threads that become authoritative for specific queries. Knowing exactly which threads matter for your niche is genuinely useful intelligence.

The compliance angle (aged accounts, no cross-commenting, no link dumps) is the right guardrail. I've seen the alternative play out — it works for about two weeks until the community catches on and you've burned the account.

Curious about one thing: how stable are the referenced threads over time? If ChatGPT pulls from a specific Reddit thread today, does it still reference that same thread in 3–6 months, or does the model's context window shift as newer threads accumulate? That'd determine whether this is a "plant and harvest" strategy or more of a continuous presence play.

Went and checked aeorank.tech's FAQ myself. It says: "We do not run vote rings or operate fake accounts." That directly contradicts what you're describing above — "aged accounts with real personas, no cross commenting." Which is it?

Also tried to find anything on the Ticket Tailor / Reddit citation story and the "compliance software company" example — couldn't find a single thread, screenshot, or link for either. Not saying they don't exist, just asking: can you actually show them?

This is encouraging to read. I'm right at the start — just shipped a free tool

and I'm hitting the classic cold-start wall (near-zero reach on X, new-account

gates on basically every platform).

Genuine question: when Reddit started sending you clients, was it from posting,

or from commenting and being active in threads first? Trying to figure out where

the real leverage is when you're starting from zero reputation.

Interesting perspective! Being active in the right Reddit discussions definitely seems more valuable than posting everywhere. Thanks for sharing your experience.

Posting everywhere is easy but showing up where AI actually looks is a completely different strategy.

The harder part is still creating comments that people would find useful even if the brand name was removed.

That is probably what makes the difference over time.

Very good idea. It's creative.

Bekir's question is the one I'd most want answered too — and answering it actually explains why the diagnostic half of this is the strong half.

I'm in the middle of exactly this right now: warming up a real account, just being useful in threads, no product mention at all. The reframe that's working for me is that you don't "add value without being promotional" — you drop the promotion entirely and let being the most useful answer in the thread be the whole play. It lines up with what you said about comments that still stand if you strip the brand name out. On an older thread a fresh comment only earns its spot if it adds something the existing answers missed; restating them with a link bolted on is exactly the part that reads promotional and gets flagged. So mention the product only when it's literally the answer, and usually only when asked.

That's also why "here are the five threads AI is citing, go be genuinely helpful in them" is such a good use of the tool on its own — it points a real person who knows the product at the exact right rooms. That part I'd pay for. The done-for-you personas are the riskier bet Hariom flagged, and the downside isn't symmetric (a ban costs an account; a burned brand in a callout thread becomes the top result for the query you were trying to win) — but the diagnostic half doesn't need the account farm attached to be worth it.

Interesting approach. It would be more useful to find out which threads AI quotes, rather than posting everywhere without thinking.

Timing is wild — I just launched my first iOS app today and was literally sitting here trying to figure out my Reddit strategy this afternoon. Ended up learning that new accounts get filtered hard in most subreddits, so I'm doing a 3-5 day warm-up first.

The framing of "get into the specific threads that AI is already citing" is really smart framing — I hadn't thought about it that way. Most advice I read is "post in relevant subreddits" which is way too broad.

One thing I'm still unclear on: once you identify a thread the AI is citing, how do you add value without it reading as promotional? Especially on older threads where a fresh comment stands out. Any pattern you've seen work vs. get flagged?

This is a great idea. Can save hours and hours of wasted time trying to get the business into the discussion.

it is a nice approach i will try

The "it's five threads, not all of Reddit" framing is the useful bit

here, and I think it's underrated. Most people treat AI visibility as

a volume problem when it's closer to a placement problem — being in

the specific sources that get retrieved, not being everywhere.

The measurement side makes sense to me. Knowing which URLs an answer

is actually built from is a real gap, and "go participate in those

threads with something worth reading" is a reasonable conclusion to

draw from it.

The done-for-you part is where I'd want to understand more. Aged

accounts with personas is the thing Reddit moderators are actively

hunting, and the failure mode isn't just a ban — it's the client's

brand name attached to a public callout thread, which is a worse

search result than the one they were trying to fix. How are you

thinking about that downside for the client rather than for the

account?

Genuinely asking, because the diagnostic half of this seems solid

enough to stand without it.

That makes sense—Reddit can be a powerful source of AI search visibility because AI systems often surface authentic discussions and community recommendations. If your helpful Reddit contributions mention your expertise or brand naturally, they can increase trust, visibility, and potentially bring qualified clients to your website.