The New SEO Nobody Talks About in Your Monday Stand-Up
Your buyers aren't just Googling anymore.
They're typing questions into ChatGPT. They're running searches in Perplexity. They're asking AI assistants to recommend tools, compare platforms, and shortlist vendors — before a single sales call happens.
And where are those AI systems pulling their answers from? Mostly Reddit.
According to a Semrush analysis of over 150,000 LLM citations, Reddit accounts for 40.1% of all AI citations — more than Wikipedia, YouTube, and Google combined. Perplexity in particular leans heavily on Reddit, with Reddit being its single most-cited domain at 6.3% of all citations, according to Profound's analysis of over 1 billion AI citations.
What this means practically: the comments your competitors are leaving in r/SaaS today could be the answers ChatGPT gives your prospects tomorrow.
This post is about how to make sure it's your brand in those answers, not theirs.
Why Comments Matter More Than Posts
Most guides focus on Reddit posts — the threads you start, the questions you ask, the content you publish. Posts matter, but comments are where the real citation opportunity lives for SaaS brands.
Here's why.
When a potential buyer asks an AI tool "what's the best project management software for remote engineering teams," the AI isn't usually citing a Reddit post title. It's extracting a specific answer from within a thread — often a comment that directly addresses the question with enough detail to be useful.
Comments are also lower-friction to produce than full posts. You can leave ten well-crafted comments in the time it takes to write one original thread. And because they're nested inside existing conversations that already have traction, they inherit the thread's authority and indexing.
The catch is that most brand comments on Reddit are useless for AI citation purposes. Vague, promotional, or too short to contain real information. The strategy here is about writing comments that AI systems actually want to cite.
What Makes a Reddit Comment Citable by AI
This is where most guides get vague. Let's be specific.
Semrush's study of 248,000 Reddit posts cited by AI found something that surprises most people: 80% of cited posts had fewer than 20 upvotes, and 70% had fewer than 20 comments. The median cited post was around 80 words and roughly 900 days old.
Virality isn't the signal. Topical alignment and clarity are.
What AI systems are actually looking for in a citable comment:
A direct answer in the opening sentence
AI retrieval systems — particularly the retrieval-augmented generation (RAG) architecture that Perplexity and ChatGPT with browsing use — extract content at the passage level. They're looking for a chunk of text that directly answers a query.
If your comment opens with five sentences of context before getting to the point, the AI will often skip it. Lead with the answer. The context can follow.
Specific details, numbers, and named entities
Vague comments don't get cited. A comment that says "we switched to a different tool and it worked well" gives an AI nothing to work with. A comment that says "we moved from HubSpot to [Product] six months ago, cut our onboarding time from 3 weeks to 4 days, and the Salesforce integration actually worked out of the box" — that's a citable unit of information.
LLMs rely on entity linking. Named tools, specific outcomes, concrete timeframes — these are the signals that make a comment extractable and trustworthy.
First-person experience framing
AI models specifically seek out experience-based content because it provides information that can't be scraped from a marketing page.
"We tried X at our company and here's what happened" carries more citation weight than "X is generally considered to be good at Y." One sounds like a person. The other sounds like a brochure. AI systems have learned the difference.
The question-response format
Reddit's threaded structure — someone asks a specific problem, multiple people answer, the community votes up the most helpful — mirrors exactly how AI systems want to present information. Comments that directly respond to the original question in the thread are more likely to get cited than tangential replies.
"AI models don't want to cite your product page that says 'we're the best CRM for fintech.' They want to cite the thread where 15 fintech operators debated the question and upvoted the most useful answer." — a pattern documented consistently in AI citation research
The Comment Framework: How to Write for Citations
Here's a practical template for comments designed to earn AI citations. It has four parts.
1. Lead with a direct answer. One to two sentences that answer the question as plainly as possible. No throat-clearing.
2. Add first-person context. What's your relevant experience? How long, at what scale, in what kind of company? This is your credibility signal.
3. Include specific details. Numbers, tool names, outcomes, timeframes. This is what makes the comment extractable.
4. Acknowledge limitations or tradeoffs. This is important. AI systems actually favor balanced content over purely positive takes. Research from Profound shows that citation rates for positive and negative brand sentiment are nearly identical — about 5% and 6.1% respectively. Honest comments outperform promotional ones.
A real-world example of a citable comment vs a non-citable one:
Non-citable: "We use [Product] and it's been great for our team. Highly recommend checking it out!"
Citable: "We've been on [Product] for about eight months — 12-person growth team at a B2B SaaS company. The reporting took some getting used to but the Slack integration is genuinely the best I've seen. Our SDRs stopped missing follow-ups almost immediately after switching. If you're coming from Outreach, expect a two-week adjustment period on the workflow setup."
The second comment gives an AI something to work with. It's specific, first-person, balanced, and directly relevant to anyone researching that category.
Which Threads to Target
Not all Reddit threads are equal for AI citation purposes.
Prioritize threads in these formats because AI systems disproportionately cite them:
Comparison and recommendation threads — "What's the best X for Y use case?" threads are goldmines. When your product gets recommended in a well-upvoted comment inside one of these threads, it starts appearing in AI answers to similar questions.
Problem-solution threads — Someone describes a specific pain point, several people answer with solutions. If your product is part of that solution chain and the comment has enough detail, it enters the citation pipeline.
"Has anyone tried X?" threads — These invite first-person experience responses, which is exactly the format AI systems favor most.
Avoid purely venting or opinion threads without a clear question. They tend not to generate citable content regardless of engagement.
How to find the right threads
Run these searches to find high-value comment opportunities:
Search Google for: site:reddit.com "[your category]" "best" OR "recommend" OR "alternatives"
Search within relevant subreddits using your product category keywords, then sort by Top (past year). The threads that have aged well with ongoing engagement are exactly the ones AI systems are already indexing.
Tools like Airefs can help you identify which Reddit threads are already being cited by ChatGPT and Perplexity for your target queries — so you can prioritize commenting in the threads that matter most rather than guessing.
Building the Account Infrastructure
Before any of this works, you need an account that Reddit and AI systems take seriously.
OpenAI's training data hierarchy reportedly places "Reddit content with 3+ upvotes" at Tier 2 priority. But there's an implicit requirement underneath that: the comment needs to come from an account that looks like a real person.
A few weeks of genuine participation — answering questions outside your product category, commenting on industry news, engaging with threads that have nothing to do with your company — builds the karma and account history that makes your product-adjacent comments land rather than getting filtered or downvoted.
The 95/5 rule is worth internalizing here: roughly 95% of your Reddit activity should be pure value, with no product angle whatsoever. The other 5% is where you naturally, transparently work in your brand.
This ratio isn't just about community goodwill. It's about AI citation quality. An account that only ever talks about one product, with no other participation history, looks like a shill account to both Reddit users and to AI systems evaluating the trustworthiness of content.
Tracking Whether It's Working
Reddit attribution is messy, but not impossible.
The most direct signal is to manually query ChatGPT and Perplexity with the questions your buyers are asking — "best [your category] tool for [use case]" — and see whether your brand surfaces and whether Reddit threads are cited as sources.
Do this monthly and track it over time.
For more systematic tracking, Perplexity has a filter that lets you see social-only sources, making it easier to identify whether Reddit threads mentioning your brand are appearing in answers. You can also use Google Search Console to watch for Reddit-hosted URLs ranking for your target terms, which is a leading indicator of eventual AI citation.
AI visibility tools like Goodie, Superlines, and Airefs are building out functionality to track this more precisely — worth exploring if you want to run this at scale across multiple competitors and query types.
The Timeline to Expect
It's worth being honest about this: Reddit-driven AI citations are not a 30-day play.
The median cited Reddit post in Semrush's study was around 900 days old. Content published on Reddit can remain evergreen for years, getting cited long after the original conversation ended.
What this means in practice is that the comments you write today are building citation assets for 2026 and 2027, not next quarter. The SaaS teams seeing results from this approach right now are the ones who started 12 to 18 months ago, before it was obvious.
That's also the whole opportunity.
Most of your competitors haven't started yet. The subreddits where your buyers ask questions about your category are mostly uncontested. The threads that will get cited by AI systems for the next three years are being written right now — and there's no reason your brand shouldn't be in them.
The Bottom Line
Getting cited by ChatGPT and Perplexity isn't about hacking algorithms or finding some loophole.
It's about showing up in the conversations your buyers are already having, with enough specificity and honesty that AI systems trust your contribution enough to repeat it.
Write comments that answer real questions with real detail. Use first-person experience. Name the tools, the timelines, the tradeoffs. Build an account that looks like a person, not a press release.
Do that consistently across the subreddits that matter in your category, and over time you build a citation footprint that no amount of paid ads can replicate.