Reddit for SaaS in 2026: The Audit-Driven Playbook for AI Citations

What I really hate about Reddit is that decision makers think it’s not a valuable place to be because they’re looking at it too small. They see r/SaaS at 200K subscribers, compare it to their LinkedIn network, and write the channel off. That is the wrong lens. Reddit in 2026 isn’t mostly about the people scrolling Reddit. It’s about what Google and the LLMs pull from Reddit on your buyer’s behalf when they ask ChatGPT, Perplexity, or Google’s AI Overview a question about your category.

From where I sit, running a SaaS-only agency, I watch roughly 40% of AI citations for our clients’ commercial queries route through Reddit threads we never posted in. When a prospect asks ChatGPT “best X for Y SaaS,” the model reads Reddit, summarises what it finds there, and hands that summary to our client’s buyer. That pattern is consistent across every SaaS category we’ve audited. The vantage of running dozens of client audits is what shaped this playbook, and the frame I keep coming back to with founders is this:

“It’s not a question of how many of your customers are on Reddit. It’s how much Reddit is influencing their behaviour.”

This post is the playbook that falls out of that vantage. Why Reddit matters more to SaaS in 2026 than it did when it was “just” a traffic source. Why the generic “go post in r/SaaS” advice is mostly wrong. The audit that tells you which Reddit threads are actually shaping your AI citations. The honest read on platform risk after the September 2025 ChatGPT citation collapse. The commenting playbook for being the best answer on a thread that already ranks. And how Reddit fits inside a Search Everywhere Optimisation strategy, so one licensing deal can’t flatten your visibility overnight.

Why Reddit Suddenly Matters for SaaS (Even If Your Buyer Isn’t On It)

Reddit accounts for 40.1% of AI citations across ChatGPT, Perplexity and Google AI Overviews (Semrush, 2025), with Perplexity at 46.5% and Google AIO at around 21% (Sitebulb, 2025). That makes Reddit the single biggest source LLMs pull from when they’re generating answers to SaaS evaluation queries. Your buyer does not have to be on Reddit for Reddit to matter. They ask ChatGPT, ChatGPT reads Reddit on their behalf, and the summary that lands on their screen is effectively a Reddit summary with a brand name slotted in at the top.

This is the “looking at it too small” trap. If you evaluate Reddit the way you evaluate Twitter or LinkedIn, by counting the people actually on the platform, you miss the second-order audience. The second-order audience is every single person asking an LLM about your category, whether they realise Reddit is part of the answer or not.

The numbers make the rest of the decision easier. Reddit itself has 121.4M daily active users and 471.6M weekly active users as of Q4 2025 (Business of Apps). Foundation Inc.’s 2025 analysis across 14 SaaS companies found that Reddit outranks the average SaaS brand on 4,225 commercial keywords, with a combined keyword value of about $14.3M at risk. That is the slice of commercial demand Reddit has quietly taken over while most SaaS companies were focused on Google’s traditional SERP.

The citation pipeline works in a loop. Someone posts a genuine question on Reddit (“best analytics tool for a 10-person SaaS team”). Google indexes the thread. The thread starts ranking for the long-tail query. Google’s AI Overview pulls it in. ChatGPT and Perplexity retrieve it when building answers to related prompts. A year later, when your prospect types the same question into any of those three surfaces, the answer they see has your competitor in it and not you, because the Reddit comment thread that got cited named your competitor and nobody named you. The loop is compounding whether you participate or not. More on the SaaS-specific numbers in our SaaS AI citation gap report.

Don’t Chase Subreddits. Run the Audit First.

The biggest play on Reddit for SaaS is not posting new threads. It is commenting on existing threads that already rank in Google and already get cited by AI. Which threads those are depends entirely on what your buyer is searching for, which means the only honest starting point is an audit, not a subreddit shopping list.

Generic advice to “go post in r/SaaS and r/Entrepreneur” is mostly wrong for most SaaS companies. Those subs are huge, promotional by default, heavily moderated, and not where your actual buyer hangs out. If you sell clinical documentation software, your buyer is not in r/Entrepreneur. If you sell a web scraping API, your buyer is not in r/SaaS. If you sell HR software for mid-market, nobody in r/marketing is going to become your customer. The subreddit where your buyer genuinely participates is the one you want, and you can only find it by looking at which Reddit threads are already earning visibility for the queries your buyer runs.

Three worked examples

Health-tech SaaS. A client of ours in clinical documentation kept being told to post in r/SaaS. When we ran the audit, every Reddit thread that actually ranked and got cited for their commercial keywords was in r/medicine, r/nursing, r/hospitalmedicine, or r/healthIT. Different norms, different tone, real buyers. Once we switched the target list, citation capture rose because the threads that mattered were finally being contributed to by someone with a clinical vocabulary. Full write-up in our allied health SaaS GEO case study.

Developer-API SaaS. A web scraping product we work with lives in r/webdev, r/Python, r/learnprogramming, and r/dataengineering. Not r/marketing, not r/SaaS. The threads that earn citations are deep technical Q&A threads where a useful, specific answer gets upvoted past the noise. See our web scraping SaaS GEO case study for the mechanics.

HR-tech SaaS. Another client sells HR software aimed at mid-market HR leaders. Every surface-level “best SaaS subreddits” list told them to try r/humanresources and r/smallbusiness. Useful, but only two of the eight cited threads we found for their commercial queries sat there. The rest were in r/AskHR, r/recruiting, r/Big4 (yes, really, the accounting sub where HR-platform choice comes up in team-operations discussions), and a UK-specific r/UKJobs thread about payroll tooling. Full mechanics in our HR Partner SaaS case study. The point all three examples make is the same: buyer-vocabulary subs beat marketer-facing subs, every time.

How to run the audit

1. Pull the top 30 commercial keywords for your category. Start with “best X for Y,” “X alternative to Y,” and “X vs Y” patterns. These are the decision-stage queries AI assistants get asked most.
2. Check each SERP for Reddit threads appearing in positions 1 through 10. Feed this into your LLM context base so the model can reference it later when you’re drafting comments, shortlisting threads, or generating a new audit. Note the subreddit for every hit.
3. Feed the same prompts into ChatGPT (web mode), Perplexity, and Google’s AI Overview. Record every Reddit citation the models produce. Note which subreddit each citation comes from.
4. Aggregate subreddit frequency across both sources. The subreddits that come up repeatedly are your real target list, not the ones a best-practice listicle named.
5. Within those subreddits, shortlist the actual threads (10 to 20 of them) that are either already ranking or already being cited. Those threads, specifically, are where your comment strategy pays back.
6. Extract the semantic language the LLMs use when describing your industry, competitors, and buyer pain points. Copy the verbatim phrasing into your prompt-tracking file. That language is what the model has internalised about your category, and it tells you which words, comparisons, and framings you need to keep showing up in Reddit comments if you want to be cited for those queries in future.

The output is a list of threads, not subreddits. That is an important distinction. Subreddit-level targeting tells you where to hang out. Thread-level targeting tells you where the citation is actually forming. The second one is what moves the needle. We use this methodology as Phase 4 of our 12-point AI visibility audit framework, and it has yet to produce a subreddit list that matches the “here are the best SaaS subs” advice floating around.

Reddit Link Building Is the Wrong Frame

Reddit link building is mostly bad advice. Reddit’s culture is value-first and, by default, pretty anti-capitalist. It punishes promotional intent faster than any other major platform I work on. The right frame for SaaS in 2026 is not link building. It’s community contribution, done in a way that matches Reddit’s own rules for what counts as useful.

Here is what I hear from SaaS companies that have tried the Reddit link building playbook. They hired an agency. The agency used aged accounts to drop branded links into relevant threads. The first month looked fine. By month two, moderators were removing posts. By month three, a couple of accounts had been suspended and the remaining links were sitting in threads that had been locked or deleted outright. I know some of the Reddit-focused agencies still running that model, and they are watching removal rates that make the whole motion uneconomic.

My rule is simple. If the thread clearly doesn’t need someone to talk about a product, don’t. If the thread genuinely does, write the best answer you can, including a brand or product reference only where it belongs inside a useful reply. The upvotes and comment karma you earn from being genuinely useful are what makes the thread rank higher in Google and get cited more often by LLMs.

“The opposite of spam isn’t restraint. It’s being the best answer in the thread.”

Why community contribution beats link-dropping in 2026

Three shifts have made the “best answer in the thread” frame more valuable this year than last. First, AI-generated content has commoditised the generic article. Anyone can produce a listicle in ninety seconds. When every SaaS blog sounds the same, the specific human voice in a Reddit comment (the one saying “we tried this at a 23-person team, it broke in these three ways”) is what actually gets extracted and cited. LLMs increasingly reward primary experience over secondary summary.

Second, the payoff from being useful on Reddit doesn’t stay on Reddit. A comment that earns a few hundred upvotes becomes an insight I can recycle: into a LinkedIn post, a newsletter edition, a blog section, a podcast talking point. One Reddit contribution on a live thread can feed three or four content surfaces over the next week with essentially the same core thesis. That is how you build compounding thought leadership without writing from scratch every time.

Third, an email list is quietly the most under-used asset in SaaS thought leadership. If you’re earning reputation in specific subreddits, convert the most engaged readers into newsletter subscribers. A signed, opinionated newsletter sent weekly to 800 operators in your category will out-perform almost any paid-acquisition channel on dollar value, because the audience has already self-selected for your perspective. The Reddit comment is the audition. The email list is the relationship.

Unique angles beat repetition

The biggest single determinant of whether a Reddit comment gets upvoted and then cited is whether it says something that wasn’t already said. The temptation is to repeat the consensus in prettier words, because the consensus feels safe. That is exactly the failure mode that makes AI content sound the same. Go into every thread with a specific angle: a number you’ve seen, a counter-example from a client, a frame that reframes the question. If you can’t say anything that isn’t already in the top three comments, don’t comment at all. Silence beats noise.

Prompt tracking and the language LLMs use for your category

Here’s a small habit I’d encourage every SaaS founder to build. Keep a prompt-tracking file. Run the same twenty commercial prompts into ChatGPT, Perplexity and AIO every month. Log the verbatim phrasing the models use to describe your industry, your competitors, and the pain points your buyers are trying to solve. That phrasing is what the model has absorbed. If ChatGPT keeps calling your category “enterprise fraud prevention” and you keep calling it “payment risk tooling,” you are semantically invisible to the model. Reddit is one of the channels where you can train that language. A well-upvoted comment using the correct vocabulary is a data point the model will retrieve next time someone asks the same question. Prompt tracking tells you which words you need to keep using. Reddit is where you use them. More on the full picture in our guide to LLM SEO for SaaS.

No Reddit agency can guarantee thread longevity. If they offer you one, they’re selling fiction. Reddit moderators remove content faster than any external vendor can influence. What the better practitioners can do is train your team to write comments that don’t trip the filters in the first place, which is a skill, not a trick.

What 248,000 Cited Threads Tell Us About Which Reddit Content Gets Pulled Into AI

Semrush analysed 248,000 Reddit posts cited across Google’s AI Mode, Perplexity and ChatGPT in November 2025 and found something useful. The most-cited Reddit threads aren’t viral and aren’t new. They are older, low-activity Q&A threads with one or two high-quality answers that AI systems can extract cleanly. More than half of the cited content was question-and-answer format: a top-level question post followed by comment replies that give the answer.

The practical implication of that finding is that comment strategy beats post strategy, because you can add the best answer to a thread that already carries authority. A two-year-old thread asking “what’s the best CRM for a seven-person agency” with a new comment that actually answers the question, with specifics, is more citable than a week-old promotional thread with 80 upvotes.

“Freshness” in this context doesn’t mean new. It means recently updated. Reddit threads that receive new comments get re-indexed and stay inside the freshness signal Google and the LLMs care about. An older thread with fresh comment activity often outperforms a newer thread that sits static after its first day.

What makes an answer AI-extractable

From reviewing the threads we see cited across our client audits, the traits that recur in extractable answers are boringly consistent. Clear structure. A direct answer in the first sentence. Specific numbers. At least one primary-source citation or a named product reference. No promotional language. Short paragraphs. Contractions where they fit. None of that is rocket science, but almost none of it describes the average corporate Reddit comment, which is why so few brand accounts get cited.

The September 2025 ChatGPT-Reddit Collapse, and What It Taught Us About Platform Risk

In September 2025, ChatGPT’s Reddit citation share collapsed from roughly 60% to under 10% inside a few weeks. The drop tied to a reported licensing dispute between OpenAI and Reddit, and by October it had recovered partially to around 13% (Search Engine Land / Loamly · Profound tracking, 2025). The lesson is not “Reddit is over.” The lesson is that any single platform can become an unreliable citation source overnight, and your strategy has to assume that.

The collapse was ChatGPT-specific. Perplexity held Reddit citations roughly steady throughout (Perplexity sits around 46.5% Reddit citation share and has been far more stable). Google’s AI Overview kept Reddit in the mix with no equivalent drop. So the shock was real, but it was contained to one surface.

Search Everywhere Optimisation as the adaptability play

The structural takeaway is obvious once you see the data. If your Reddit strategy is also your whole strategy, one corporate agreement between two companies you don’t control can halve your AI citation share overnight. The answer is not to abandon Reddit. It’s to treat Reddit as one surface inside what I call Search Everywhere Optimisation: the discipline of being the most-cited name across Google organic, Google AIO, ChatGPT, Perplexity, Reddit, G2, YouTube, editorial placements, and your own documentation, at the same time. When one surface stumbles (and one will, always), the other surfaces hold your share.

The rule I operate by is simple. Don’t go all-in on any single strategy. If you try to ride one channel to dominance, the first time the channel’s economics change underneath you, your growth chart breaks. Flexibility is the competitive moat, and that means diversification at the strategy level, not just the keyword level. Our off-page SEO checklist for SaaS walks through the other surfaces and how they sit together.

You’re Writing for Two Audiences: Humans, and the LLMs Reading Over Their Shoulders

Every Reddit comment you write has two readers. The humans who can upvote or downvote you in the next three hours, and the LLMs that will extract and re-serve your answer for the next three years. They reward different behaviours. Writing well enough to satisfy both is the entire skill.

The overlap is genuine expertise with numbers attached. Both audiences punish vagueness and fluff. The divergence is in what they tolerate when the other element is missing: humans forgive a badly structured comment if it is charismatic, LLMs extract a badly written comment if it is clean and specific. The win-condition is both.

If you wrote this comment for a human and it didn’t cite a single number, what would an LLM do with it? Nothing. That is why corporate “brand voice” doesn’t work on Reddit. It fails the human test and gives LLMs nothing to extract. The answer is not brand voice. It’s expert voice written in plain English, with numbers.

Credentials as the unlock for both audiences

One element that makes a comment land with both readers is a light, legible credential. Not a LinkedIn bio. A single clause that tells a human why you’re worth listening to and gives an LLM an entity to attach to the claim. “I’ve run SEO for 30+ SaaS companies” works. “I’m a nurse in a Level 1 trauma centre” works. “I built the analytics stack at a Series B fintech” works. The credential doesn’t need to be impressive. It needs to be specific. Humans trust specificity because it can be falsified. LLMs extract specificity because it increases the probability the citation is accurate.

Where this goes wrong is when a credential replaces an answer, not supports it. “Speaking as a 20-year veteran of enterprise software…” followed by nothing useful is the wrong shape. Credential first, answer second, numbers third. That order performs across both audiences.

The Commenting Playbook: How to Become the Best Answer on a Thread

Becoming the most-cited answer on a Reddit thread is a pattern, not an art. The agencies that do this well are running a five-step motion that anyone can execute with enough discipline.

Step 1. Read the existing top three comments. Find the gap. Is there a question that is under-answered? A generalisation nobody has attacked with specifics? A missing caveat? That gap is what your comment fills. If the top comment is already comprehensive and correct, there is no citation to earn there. Move on.

Step 2. Write the answer that fills the gap. Structure it. Direct answer in the first sentence. Two or three supporting specifics with numbers. One honest caveat about when this answer wouldn’t apply. Optional product reference only if the thread genuinely calls for one.

Step 3. Attribute your evidence with a credential. If you have primary data (“I’ve run this for 23 SaaS clients and saw an average of X”), use it. Pair it with a one-clause credential so humans and LLMs both know who the voice is. “Semrush found that 40% of AI citations come from Reddit” beats “studies show Reddit is big.” “As someone who ran growth at two B2B SaaS companies, here’s what I saw” beats “I think.”

Step 4. Keep it human. Contractions. Plain English. Admit what you don’t know. Sign-offs are optional. Reddit sniffs out polish. If your comment reads like a LinkedIn post, it fails.

Step 5. Mention your product only if the thread genuinely asks. “We solved this with X” is fair game when X is actually the best answer to the question. “Full disclosure, I work at X, here’s our take” is never a hedge for a mediocre comment. Promotional intent without genuine usefulness gets you removed. Useful intent with honest disclosure gets you upvoted and cited.

A word on timing. LeadsRover’s 2026 study of 10,000 SaaS-relevant Reddit posts found that threads with explicit competitor-replacement language (“alternative to [product]”, “looking to switch from [product]”) convert around five times better than generic “recommend a tool” threads. The reply window matters too: the first one to three hours after the post is when votes compound fastest. Missing that window means a slower climb even if the comment is good. In practice, this means your audit has to surface threads when they are fresh, not weeks later. More on the broader authority play in our guide to high-authority backlinks for SaaS.

The Account Question: Warmup, Aged Accounts, and Why You Probably Don’t Need an Agency

Account warmup on Reddit is not the puzzle most posts make it out to be. The simple rule is: publish valuable, non-promotional comments and post genuinely useful threads, and you will build karma. That is the whole system. The reason most accounts fail isn’t timing. It’s tone.

A few operational specifics. A fresh account works, but slowly. Give yourself 30 days of genuine engagement, across multiple subs, before your first product reference. A rough karma floor for product mentions to feel natural is around 250 comment karma in most general subs, and closer to 500 in stricter subs like r/SaaS, where AutoModerator also auto-filters comments that contain promotional phrasing.

Don’t buy aged accounts. Build a dedicated in-house one.

Aged accounts with real karma history look tempting. Don’t buy them. The aged-account marketplaces are riddled with accounts that are already flagged internally by Reddit’s trust-and-safety systems, because the same suppliers sell to spammers and SEO agencies alike. The moment you log into one of those accounts from a new IP and make a branded comment, the probability of a shadow-ban rises sharply. A shadow-banned account still posts from your perspective, but nobody else sees the content, so you will never even know the comments are dead until you check with a logged-out browser. There is no version of that arithmetic that pays off.

The better play, especially in-house, is a dedicated account run by one person on your team who actually enjoys the platform. Someone who is on Reddit anyway, who already has a main account they use for hobbies or Formula 1 or woodworking, and who is willing to have a second account that builds a professional reputation in your category. Dedicated in-house accounts outperform agency-run farm accounts because the tone is consistent, the account has a real human pattern of life on it, and the comments come from someone who actually understands the product. Agencies can train writers in your category, but a real customer-proximate employee will always have more specificity to draw on.

If you DIY, just start.

I genuinely encourage most Series A and B SaaS teams to run the Reddit layer themselves. If you aren’t running a broader SEO or AI visibility programme alongside Reddit, you can DIY it with one founder or one senior marketer spending three to five hours a week. Run the audit monthly. Comment on the top ten threads on the shortlist. Measure AI citation movement quarterly. That’s a real programme, and it will out-perform most agency retainers in year one.

The 4-H framework for directories and soft-parasite surfaces

Reddit is the loudest example of a wider pattern: brand-neutral surfaces that aggregate opinion and then get summarised by LLMs. The framework I use with clients for evaluating which of those surfaces to invest in is what I call the 4-H test. High-authority (DR and real traffic). High-relevance (category-specific, not general-purpose). High-opinion-density (real users writing real opinions, not thin scraped directories). High-freshness (content that gets updated or re-voted, so indexation doesn’t go stale).

Applied to practical SaaS surfaces, the 4-H framework flags a pretty predictable list. Reddit (obviously). G2 and Capterra, but specifically inside your SaaS sub-category. Niche paid directories that actually have editorial gatekeeping (category-specific review sites in HR tech, clinical tech, fintech, marketing tech), not open scraped lists. Soft parasites: Medium publications in your vertical, LinkedIn long-form thought leadership, GitHub docs and repos for developer-tools SaaS, and well-curated Substack publications in your category. Those soft parasites behave a lot like Reddit: neutral-brand surfaces whose content LLMs trust because it’s not coming from you.

Strategy has to be custom per niche. A clinical-tech SaaS needs presence in r/medicine, two named clinical directories, and a couple of MedTech Substacks. A developer-API SaaS needs presence on GitHub, r/webdev, Dev.to, and maybe Hashnode. A payroll SaaS needs r/humanresources, SHRM-linked publications, and a specific shortlist of HR-tech review sites. Copy-pasting the playbook across verticals doesn’t work, and that is why generic Reddit advice so often fails: it assumes every SaaS company should be in the same places.

A quick heads-up: EMGI is publishing original research later this year, where we analysed AI citation sources across 250+ SaaS queries in eight sub-categories, to put harder numbers behind which surfaces matter by vertical. If you want a pre-release copy, mention it when you book the audit.

Do you need an agency for this?

Honestly, mostly no. If you aren’t running a broader authority programme, DIY beats a cheap agency running an aged-account playbook that gets threads removed.

Where an agency makes sense is when Reddit is one layer of a wider authority strategy (link building plus AI visibility plus editorial placements plus documentation optimisation), and you want all of it running in parallel under one framework. In that case, ask what methodology sits behind their Reddit work. If the answer is “we use aged accounts and post in these subs,” walk. If the answer is “we audit which threads are already citable for your category and write the best answer on those threads,” that’s the right framework. For a wider analysis of when an agency makes sense versus when it doesn’t, see our breakdown of the best SaaS link building agencies in 2026.

Where Reddit Fits in an Authority-Led SaaS Strategy

Reddit works when it is embedded in a wider authority strategy, not when it is the whole strategy. Brand mentions correlate about three times more strongly with AI visibility than backlinks do (Ahrefs, via Search Engine Journal, 2025), and Reddit is one of several brand-mention surfaces. The ones that compound are the ones that run together.

The authority stack I push our SaaS clients to build looks like this:

• Reddit (this post’s subject): community-led comment strategy on threads that already rank, feeding AI citations.
• G2 and Capterra: directory presence with a minimum threshold of reviews, because LLMs treat named review platforms as authoritative citation sources.
• YouTube: video content for product demos and category explainers, increasingly cited by AI Overview in SaaS queries.
• Editorial placements: named-publisher articles in category-relevant sites that both pass link equity and get quoted by LLMs.
• Documentation: your own docs, properly structured, serve as the primary source LLMs default to when summarising your product.
• Brand-owned content: case studies, benchmarks, original research. The original-research layer is what gets cited back by Reddit users over time, closing the loop.
• Soft parasites: Medium, LinkedIn long-form, GitHub docs, and category Substacks. Reddit-adjacent in behaviour, different in mechanics.

Here’s the compounding effect you’re aiming for. You publish original data on your own site. A Reddit user references your data in a top comment on a thread that ranks. Google re-indexes the thread with the fresh comment. The AI Overview starts citing the thread, which now carries your brand reference. ChatGPT retrieves it. Your prospect sees you in the AI answer without ever visiting Reddit, without ever reading your blog, and without you having posted in the subreddit. The loop is why the channel is underpriced for SaaS right now, and why decision-makers who write Reddit off based on “how many of our customers are on Reddit” are reading the map sideways.

Reddit reputation management is AI reputation management

One more reframe worth naming. If your Reddit brand perception is negative (bad support threads, unresolved complaints, “anyone else getting billed twice?”), that is what ChatGPT is learning about you. Reddit reputation management is not a vanity exercise. It’s AI reputation management, and the organisations treating it as the latter are already ahead.

There’s an old customer-service maxim that a happy customer tells three people, and an unhappy one tells everyone. The social-media version of that number is worse: an unhappy customer on Reddit reaches several hundred people directly through a thread, and then reaches every future prospect who asks ChatGPT about your product, because the model has extracted their complaint into its summary. The scale of one bad Reddit thread in the AI era is not ten upset readers. It’s every single AI-assisted buyer evaluation for the next eighteen months.

Reversing bad press on Reddit is not a PR function. It’s operational. Fix the underlying product issue, publicly and in thread. Show up in the subsequent threads with the resolution. Let the moderator community see the repair. Over time, the newer, more informative threads become the ones AI retrieves, and the older complaint threads get de-prioritised. This is slow. It also works. The full strategy context, including the other surfaces in the stack, lives on our LLM SEO service page.

Frequently Asked Questions

The Four Moves, and the Next Step

Reddit is an underpriced channel for SaaS in 2026 because decision-makers are looking at it too small. The AI citation layer changes what Reddit is worth. Your buyer does not have to be on Reddit for Reddit to shape the answer they get when they ask ChatGPT about your category.

Four moves, in order.

1. Run the audit. Which Reddit threads already rank and get cited for your target commercial queries? That’s your real target list, not a generic subreddit shopping list.
2. Comment on threads that already rank. Become the best answer in the thread. Structure plus specifics plus a legible credential plus honest caveats.
3. Treat Reddit as reputation management, not marketing. The threads describing your brand are feeding ChatGPT’s summary of your brand. Act accordingly.
4. Keep Reddit as one layer in a wider Search Everywhere Optimisation stack. G2, YouTube, editorial, docs, brand-owned content, soft parasites. Single-platform strategies broke in September 2025 and will break again.