OGS Media

Everything We Do: Reddit Marketing, the User Journey, and AI Visibility

The whole playbook, published. How we think about Reddit, how people actually buy, and how brands get cited inside AI answers.

Most agencies keep their playbook locked in a drawer. We’d rather publish ours. If you’re reading this, you’ll find the whole thing: how we think about Reddit, how we map the way people actually buy, how we get brands cited inside AI answers, and every service we deliver along the way. Client examples are referenced by industry rather than name.

Who We Are

OGS Media is a Reddit marketing and GEO agency. We help brands show up, honestly and usefully, in the place where people go to validate a decision, and we turn that presence into visibility inside Google and AI answers.

The two founders split the work cleanly. Brent is the founder, a Redditor of about 20 years, an official Reddit advisor and partner, and the owner of an industry publication. He owns PR, story, and positioning. Bart owns the technical and GEO side. On a multi-vendor deal, OGS leads discovery, audience work, and Reddit strategy while a partner vendor leads technical SEO. We sell that as one offer with two teams, never a hand-off.

The team is distributed. The people who work best on employee accounts have real expertise in a subject and would naturally enjoy being on Reddit anyway. We need two or three of them, not twenty.

Our standing with Reddit is unusual. OGS operates as Reddit’s unofficial agency of record for organic work, alpha-tests Reddit’s brand tools, and works under NDA with Reddit.

We’re selective. We’re careful about who we take on. We give away free strategy to prospects who can’t afford us, and we’d rather tell someone no several times so that when we say yes, they know it’s true. The house style is anti-marketing: connection first, service over the megaphone, "the most anti-marketing marketer you’ll ever meet."

What We Believe

Reddit is where people validate a decision, and increasingly where they discover options too. For a long time the rule was simple: people don’t find a brand on Reddit first, they arrive already aware of it, looking for honest opinions before they commit. That’s still often true, but it’s shifting. More people now start their research on Reddit, and Reddit Answers, its own AI search, is growing fast, so Reddit is becoming a discovery surface as well as a validation one. Either way, the work centers on what a person is trying to figure out at that moment, not on broadcasting a message.

People filter logically and decide emotionally. The classic funnel serves Discover and Filter. Almost nothing serves Validate, the moment after someone has narrowed to two or three finalists, when the specs can’t separate them and they leave the brand’s own site to hear from a real human who made the same choice. That’s the moment Reddit owns, for four structural reasons: anonymity, peer-to-peer trust, upvotes surfacing consensus, and no promoted-content algorithm in the way. The core need there isn’t more information, it’s confidence.

Why Reddit earns that trust. Marketers spent 20 years working out everything that makes a person feel good about a decision, so reviews got bought, comparison content became marketing, and blog comments got switched off. Reddit kept the anonymous, real-experience layer, so it became the place people trust and the place they append to a search when they can’t find a straight answer. In an otherwise AI world, the human voice is worth more than it’s ever been.

Reddit, Google, and AI are one system. One well-built Reddit presence feeds Google rankings, shapes AI answers, and reaches people directly. We’re not doing the 21st year of SEO, we’re doing year one of what comes next.

We influence, we don’t push. We sell on the specific value that matters to a person at the phase they’re in, and let them arrive at the product on their own terms. If someone’s choosing between a pickup and an SUV, we talk about throwing a bike in the bed without a mount. The person starts weighing that, moves down the funnel on their own, and reaches the product honestly.

What We Offer

The core of the work is Reddit community management. We add GEO (content built to get cited in AI answers) when it’s genuinely the right fit for the brand, not as an automatic bundle. Engagements run as a monthly retainer with a minimum initial term, then month to month. We position it as reputation insurance, not marketing spend.

Here’s the full catalog, grouped the way clients actually buy it.

Reddit community management - Build and run a branded, owned subreddit, or take over and rehabilitate an existing one. - A per-client account program: one brand account plus one to three disclosed employee or advocate accounts, with karma and authority building and account-health monitoring. - AutoMod and moderation setup, ongoing content and engagement, community management. - Reputation and PR-crisis management: honest crisis response, sentiment recovery, Trust and Safety liaison, subreddit recovery, and moderator relations. - AMAs run as quarterly special events with a credible host. - Influencer partnerships and Reddit ads support, including the newer AI-assisted ad formats built on community conversation. - Programmatic Reddit: migrating a brand’s support and FAQ library onto a subreddit at scale, reformatted conversationally, for mass search and LLM indexing.

GEO and AI visibility - On-site credentialed content the models can cite, AI-citation tracking, and monthly AI-response audits. - Per-engine AEO on your own site: ChatGPT, Perplexity, and Google AI Mode source differently, so we treat each as its own target rather than one "AI" bucket. - AI shopping optimization: structured product data plus the community validation that feeds it, so a brand gets recommended inside AI shopping results. - AI misinformation cleanup: when the models repeat something wrong about a brand, we find the source conversations and fix the record. Cleaning up wrong information has real downstream impact; for one client it measurably improved a separate marketplace program and dropped complaints, because we changed the process by removing the misinformation. - The same method applied beyond Reddit: YouTube and LinkedIn both earn real citation share in AI answers, and the "be in the community, become the cited source" play works on every surface where your buyers validate. - Demand and new-search content, usually run jointly with a technical-SEO partner.

Research and insights - Audience and buyer-journey mapping, deep-intent question mining, Reddit conversation analysis, and technical review, sold as a discovery phase or standalone. - Validation-phase research reports: how your buyers actually decide, proven with real Reddit threads, for teams who want the insight before (or without) the execution. - Community-intelligence subscriptions: a recurring research feed on what your communities are saying, what’s shifting, and what’s coming. Clients consistently name this insight work as the most valuable thing they get. - Competitive intelligence from support forums and review sites. - Reporting and attribution as a standalone deliverable.

Audits and diagnostics - AI-visibility audits: a fixed-scope read on where your brand stands inside AI answers, and the plan to change it. - CQS account diagnostics: a teardown of Reddit’s hidden trust score on your accounts, with a prioritized action plan. - Per-query ranking analysis: tell us the question you want to own, and we’ll tell you exactly what it takes to rank for it, or build the content that does. - Subreddit hardening: AutoMod configuration delivered copy-paste ready, with a requirements doc, expanded phrase library, plain-language explanation, production code, and a validation report.

Training and enablement - Multi-session training and workshops, including a compliance workshop that puts medical, legal, and regulatory people in the room early instead of redlining documents for months. - "Run Reddit Yourself": the full handoff as a training program, for brands that want to own the work in-house. - Executive enablement: the person on the call often isn’t the person who approves the budget, so we arm your internal champion with the deck, the ROI examples, and the objection answers, and we’ll join the internal calls and get grilled by your executives. - Landing-page and conversion consulting alongside Reddit, so the traffic we send actually converts.

Software and tools - Our internal platform stack (brand monitoring, AI-answer tracking, moderation tooling) is available to license or white-label for agencies and in-house teams. - A moderation app for communities, combining AI-detection, ban-evasion detection, and spam handling, installable per subreddit.

Partnerships and programs - Agency white-label and certified-partner delivery: we run the Reddit and GEO work under your agency’s brand, or train your team to run it. - A regulated-industries program for finance, insurance, and health: the compliance workshop, SAFE/MIXED/AVOID topic mapping, pre-approved response templates with legal, and positioning built for scrutiny. - International and non-English Reddit + GEO: thinner native-language AI corpora mean each good local-language thread carries more weight, and we run programs there too. - Named programs like "Reddit Reputation Rebuild" (take control of your brand perception across Reddit, Google, and LLMs) and "Don’t Get Banned" for compliance-nervous brands. - A referral program.

And when a client leaves, we off-board properly: we train, document, and hand everything off so they can run it themselves, then purge their data. We never want to own anything that’s theirs. That’s not a line item, it’s just how we operate.

What We Do on Reddit

The asks we hear first

Most brands arrive using the same vocabulary: "buy upvotes," "farm karma," "bury the negative thread," "delete the post," "get rid of the hostile mods," "set up some accounts that don’t look like us." That language is worth taking seriously, not because we do any of it, but because it describes the outcomes people actually want: visibility, momentum, a fair shot at the narrative, and safety from a community that can turn on you. Every tactic on that list either doesn’t exist, gets detected, or makes the original problem worse. The rest of this section is the version that works: the same outcomes, earned in ways the platform and the community reward.

Comment first, always

Commenting is the single most repeated principle. It builds credibility and drives search and LLM presence, and comment karma is a truer signal of membership than post karma. You only post in your own subreddit until you’re trusted, and you post in third-party communities last. Comments rank independently in Google and can even make a post you don’t own start ranking.

Three account types, never a fake persona

Employee account ("I happen to work here"), the most freedom, works across the category.
Brand advocate ("I’m ___ at ___, here on behalf of the brand"), the middle.
Official brand account, the least freedom, lives in the owned subreddit and handles AMAs and official responses.

The litmus test: at a networking event, do you say "Hi, I’m [Brand]" or "Hi, I’m [name]?" Reddit’s Trust and Safety prefers transparent affiliation over a hidden one. A single brand account is a liability, not a strategy: it can work maybe 5% of relevant conversations, its own subreddit and AMAs. The other 95%, the category and industry subs, get worked by two or three real employee accounts led by genuine expertise, not by sales. Off the brand’s own subreddit an account doesn’t need to lead with its employer in every comment, but it never hides the affiliation when it’s relevant or asked, and it can never play dumb about something it obviously knows.

Karma and authority

Karma is one input into a broader authority system, and the thresholds keep rising. The old play of farming karma and pivoting to the brand is now a penalty, not a warm-up. Build real authority instead of hacking the system. One useful habit: watch rising threads and be an early, genuinely useful comment while the conversation is still small.

CQS (Contributor Quality Score)

CQS is Reddit’s hidden, site-wide trust classification in five tiers, from Lowest to Highest, separate from karma. It gates whether content is even seen, because it drives AutoMod filtering, feed ranking, DM limits, and suspension risk. It’s basically your real karma. The specifics below are what we’ve observed and reverse-engineered, not published platform rules.

Signals weighed: verified email, account age, karma quality, removal and ban history, spam and duplicate-IP flags, VPN detection, subreddit diversity, authentic versus generic engagement, and moderation history. Age and total karma do not protect a bad post.
New accounts start at Moderate. The score is volatile and recency-weighted: a strong week moves it fast, a bad week undoes progress.
Raises it: comment-heavy engagement, thoughtful comments that spark reply threads, being active across five to ten communities, steady organic karma over viral spikes, email and phone verification, a clean residential IP.
Lowers it: a link in the bio (drops a new account to Lowest), an NSFW flag on a new account, no email verification, VPN or shared or datacenter IP, several accounts on one network, moderator-removed content, self-promotion over about 30% of activity.
Score against the account’s type, not a universal scale. Check a tier by posting in the CQS bot subreddit, which returns only the tier name.

Account safety

This is protection for disclosed, legitimate accounts, not concealment. Reddit’s enforcement can’t tell a careless brand team from a bot farm, so we make sure ours never looks like one. A dedicated IP per account, a unique non-branded email per account, ideally a unique device. Never multiple accounts on one IP, never shared credentials, and team members must never upvote, comment on, or even view each other’s brand content. A shared office IP or cross-voting triggers Reddit’s enforcement and mass bans with no warning. More legitimate accounts die from shared infrastructure than from bad content.

Two hard rules learned the hard way: two owned accounts must never touch the same thread (that reads as gaming and triggers mass bans, and the fix for a missed point is to edit the same comment, never add a second account), and an account plus a subreddit created on the same day is an automatic ban in seconds, because Reddit reads it as an SEO pattern. Age a user account for about four weeks first, then launch the subreddit from it.

And the meta-rule: if you can write it in a guide, Reddit can detect it as a pattern. Any repeatable checklist becomes a detectable signature, so we prioritize authenticity over repeatability and reframe from "what should I do?" to "what should I never do?"

Entering a community

Read the rules, sort Top for the last month and year, study the top posts and the comments, research the moderators, search the brand and competitors in-sub, and learn the unwritten rules. Start with short agreement comments, build depth, and only post once you have credibility. A phased 30-day entry: week one is research only, week two builds karma in genuine hobby subs, weeks three and four are commenting in target subs and engaging moderators, and month two brings the first non-brand posts. Impatience is the top cause of bans. Subscriber count is meaningless without engagement, so small, deeply engaged niche subs beat large passive ones, and moderators are allies you build a relationship with before you need anything.

Content that ranks

Structure is problem, backstory, question, answer, written conversationally with no headers, bullets, or links, like a LinkedIn post without the headers. Short and direct beats long-form. Pull in real Redditor quotes and help the reader reach a conclusion. What drives upvotes is the funniest, most human, most relatable take, not the most expert one. Imperfection reads as real, and posting only on a weekday nine-to-five in the same structure every time is itself a signal. We never write posts with AI (researching with AI is fine, creating with it is not), and we audit client content for AI tells.

Building and owning a subreddit

Seed 15 to 25 posts before inviting anyone, because you don’t open the store with empty racks, then add rules and AutoMod, use employee accounts for early engagement, and run monthly campaigns. An owned subreddit is the one place you control the rules and AutoMod, and it should feel like a real support and conversation space, complaint threads included, not a press-release feed. Over time it compounds into an asset that can outrank the brand’s own site. You can also become a moderator of an inactive but relevant subreddit by engaging for months and then requesting it.

Set the standard slowly, and be in the room

Taking over a toxic community is a deliberate transition over months, not an overnight flip, because people adhere to the standard of the room they’re in. You re-set the standard rather than announce it. Rules are only the egregious things bad enough to put a sign up. A bartender keeps the creepy guy out even though he broke no written rule, and that’s how you moderate. And just being present changes the narrative, even when the room is hostile. People are more reserved about attacking you to your face.

Own the negative instead of fighting it

If people search "is [brand] a scam," create that thread with that exact title and answer the concerns with facts, transparency, and real user stories, so your response ranks right alongside the complaints. In regulated industries you don’t rebut directly. You find the injection point where the damaging term first appears and provide clear "here’s what it actually is" guidance.

Reputation and crisis

Don’t feed trolls. Brands come asking to "bury the negatives," and burial doesn’t exist. What works is building enough genuine positive presence that one thread stops defining the brand, and answering the source thread openly rather than fighting it. For an individual negative, the HALT sequence: Halt, Acknowledge the impact (not the intention), Listen, Take action. Only about 5% of unhappy people complain and 95% just want to be heard, and each public resolution speaks to roughly 20 silent complaints. Never delete, threaten, or astroturf. Deleting amplifies, legal threats become their own story, and fake positives get caught. You actually need some genuine negativity present for the positives to be believable, because a perfect profile is a red flag. We’ll even reward honest negative feedback with a Reddit award.

AMAs

Plan at least two weeks out, match the host’s authority to the vertical, prep the hostile questions, bring a verification photo, use no AI answers, and monitor follow-ups for about a day. Quality of lead beats volume of impressions. One founder AMA in a sensitive vertical ran over a week and answered well over a hundred questions, opening with vulnerability and a handwritten proof photo, converting skeptics in public.

Monitoring

We watch Reddit’s native search filtered to comments and a saved site:reddit.com search on the brand with a 24-hour filter, opened daily. Two things worth knowing: a shadowban lets you keep posting while getting no votes or replies (check by logging out), and a whole-domain spam filter is a separate, severe failure mode. Ban evasion is permanent across IPs, emails, and domains.

The User Journey

We start from the person’s problem, not the brand. We don’t assume they’ve picked the client. We start at "I need a TV with these dimensions" and trace the path that naturally leads to the product, until we can honestly say "if I valued the things this customer values, I’d buy the same product." That’s the empathy check that says we finally understand the buyer.

The seven phases run Pre-Awareness (friction with no name for it), Problem Recognition (they name it in their own words), Solution Discovery, Evaluation and Comparison, Validation (the peer-confirmation moment Reddit owns), Decision and Purchase, and Post-Purchase. For each phase we write ten to twenty messy, real questions a person types at 11pm, in their language, not industry terms.

Dimensions and emergent dimensions are the backbone. We start with the buckets we expect to matter (price and value, features, trust, ease of use, support, integration, emotional and social), then map which dominate which phase. The real discovery move is the emergent dimension: something people keep raising that wasn’t on our list. Once an unexpected topic shows up three or more times across different threads, it’s a real dimension, not noise. The classic example: researching over-glasses headphones, "cord length" keeps surfacing. The biggest opportunities hide here, because they’re things customers care about that the client isn’t addressing and competitors aren’t owning.

LLM clustering as a research tool. We ask ChatGPT, Perplexity, and Google "what should I consider when buying [product]?" and note how each groups its answer. Then we cross-check every cluster against Reddit: is Reddit discussing it, does Reddit reframe it, does Reddit add sub-dimensions, is there a cluster Reddit cares about that the model omits? The gaps between LLM output and Reddit reality are where strategy lives, and content on those gaps disproportionately shapes future AI output, because the models train on Reddit. Today’s Reddit thread is tomorrow’s ChatGPT answer.

Proof is mandatory. Every phase needs two to four real Reddit posts or comments with direct quotes, thread URL, subreddit, upvotes, comment count, and an emotional-state tag. A journey map without Reddit proof is a hypothesis. Each map also includes one protagonist’s story traced through all seven phases from real threads, because people remember a story better than a model.

The empathy engine. People on Reddit aren’t looking for information, they’re looking for emotional comfort, someone who’s been where they are. Content that solves a problem and makes someone feel less alone wins. Content that pushes features loses. We tag findings by emotional state, each with what the person needs: Panic wants immediate reassurance, Confusion wants no jargon, Distrust wants social proof and transparency, Frustration wants the struggle acknowledged first, and so on.

Reddit only matters at some phases. Part of the work is identifying which stages Reddit is impactful for a given client and concentrating there.

The execution gap is the named failure mode: the research gets done, then daily content drifts from the strategy. So every week, before anything publishes, we check that a piece maps to a journey phase, a challenge, and a dimension, and matches the community’s tone, or it doesn’t ship.

A few sharper techniques sit inside this work: - Second-search intent. The first search is "what X should I use," the second is "which is best if [my situation]." The refined second search is often where a brand can actually win, so we segment recommendations by use case. - The walk-back technique. For a product that already exists, read the third-party reviews (not the brand’s own site) to reconstruct the real buying dimensions in reverse. - People Also Ask. Google injects follow-up questions as you open them, so controlling the follow-ups steers people toward a solution you own. You don’t need them hungry, you need them to turn where only you are. - Luxury is a mindset, not a price. On Reddit, luxury shows up as passion, discussed through features and how-to, never status language, which Redditors reject. - Pillars and clusters, not personas. Personas are hermetic, and that isn’t how Reddit works. We tag by topic clusters, so one piece can touch many pillars, and each pillar carries the deep problem, the audience’s own words, the trigger events, the buyer types, who is not the buyer, the competitors, and the prompts to track. - Don’t auto-generate tracked prompts. Generated prompt lists often have no real search behind them. We derive real intents from actual Reddit conversations and track a small, focused set.

GEO / AI Visibility

The shift we’re built around. Over the last three to six months, large language models started pulling the brand itself into their answers, not just third-party reviews and roundups. When someone asks about a product, the models increasingly want to source the company directly, and that pull gets stronger as ChatGPT and the others build out product and shopping features. They need a credible source to point at. We position a brand to be that source.

The demand side is not subtle. In a 2026 survey of 250+ enterprise CMOs, 94% planned to increase their AI-answer-optimization investment (Conductor), and about 31% of the US population is expected to use generative AI search in 2026 (eMarketer). ChatGPT’s shopping research now returns organic recommendations pulled from live product data and community sources (OpenAI).

Reddit is the doorway. The site anchors it. Two things have to line up: what people say in community, and what the brand says on its own site. When those match, the odds of getting cited and landing in the recommendation go way up. When they don’t, the brand mostly isn’t in the answer at all. Reddit is where validation happens off-site, in a voice people trust. The website is where we put the controllable, credentialed version of the same story so the models have a direct source to cite. When GEO is the right fit for a brand, we run it together with Reddit instead of treating them as two separate channels.

The trinity. Reddit, Google, and AI are one connected system, not three channels. One well-built Reddit presence feeds Google rankings, shapes AI answers, and reaches people directly. Much of that influence is invisible: Reddit occupies a large share of what the models pull from in the background while showing up as only a sliver of visible citations, so the AI narrative about a brand is being shaped by threads nobody sees. Reddit is the top-cited domain across most major LLMs, and Reddit’s licensing deals with the major AI players are expanding, not shrinking.

Every engine is its own game. Analysis of a large citation set found only about 11% domain overlap between ChatGPT and Perplexity (Profound), which is why we treat each engine as its own target rather than optimizing for "AI" as one bucket.

Ranking is problem resolution, not keyword matching. One post that genuinely solves a problem ranks for hundreds of related queries, because we’re answering the intent, not chasing a keyword string. If a post doesn’t rank, it didn’t meet the intent. Old SEO metrics (domain rating, keyword counts, backlinks) don’t mean much here. We only need two or three great ranking posts to keep a client winning for a long time.

What it takes to rank: solve the actual problem, meet the search intent (how Google understands the query, not the literal words), be a little better and fresher than the post ranking now, use the client’s own subreddit for the easiest wins, and add the raw-experience layer the polished web lacks. Where nothing good ranks yet, a strong post can take the top slot within hours.

The title is the single biggest on-page factor for Google. Exact-match target phrase up front, one clear entity with no internal conflict, "versus" for comparisons, and a first paragraph that doesn’t disprove the title. We’ve watched a strong post with a natural title sit invisible, then jump near the top and hold once it was reposted with the exact-match title. The title keyword is for Google. The models read the whole post, so the body phrasing stays flexible and human.

The body reads like Reddit, not an article. First line restates the problem and answers it, which becomes the meta description. Answer on top, detail below, scannable, conversational, no headers or internal links or SEO scaffolding. Nearly every Reddit thread that ranks is not an article. Write for a simple question, because the models are literal. A "TLDR for my people" can serve the native Reddit reader while the intro serves Google.

Required components most "well-written" posts miss: a clear one-line answer an AI Overview can highlight and a model can quote, the three to six decision dimensions the ranking threads already cover, the trade-offs, real Redditor quotes (ideally the exact comments a model already cites, never fabricated), experience-based bullets so you become the source, the unasked real-intent question, the competitor named (you can’t rank for a comparison without naming the other product), something honest and negative about yourself for trust, and an invitation to engage.

The three-phase citation plan. First, use Reddit to get the brand into the answer and onto the source list. Second, once you’re a source, edit the wording so it matches what the model wants to quote, and do the same on the client’s blog. Third, add GEO content on the client’s own site on the same topic to land a second citation. Citation hinges on the wording match, and because tools like Perplexity refetch in near real time, editing a live Reddit post (openly, to make the answer better, never to sneak something past a community) can shift an AI answer within hours.

Citation gap coverage (people search it as "citation hijacking"). When an AI answer cites only some of the factors in a topic, we create content for the factors it isn’t citing. If only the "con" side is cited, we write the "pro" version to occupy it.

Reddit Answers is its own surface. Reddit’s own AI search clusters differently from ChatGPT, so we track it separately, and covering every related-question category can let a brand own the entire Reddit Answers result for a topic.

Programmatic and wiki fuel. Migrating support and FAQ content onto a subreddit creates thousands of indexed pages, and a subreddit wiki is unusually powerful, sometimes cited as the single source in a model’s answer for a brand. One community moved most of its support to Reddit and reached over a million indexed pages that self-market and self-support.

We measure the context of visibility tied to revenue, not vanity citations. Being framed as the right answer for a specific need beats being one line in a list. You can show up as a source and still lose, which is where most brands are. Taking over all the citations for a prompt can actually reduce the citation count while increasing visibility. The scoreboard is influence, not inclusion. Worth knowing: AI answers send under 1% of referral traffic, but those visitors convert at far higher rates, so judging this work on clicks misses where it actually pays.

A note on the diagnosis. If the only sources a model pulls for a brand are its own site plus one review platform, the third-party validation pipe is blocked and you’re working with a fraction of the data. The fix is third-party UGC.

The window is a land grab. The current GEO opportunity is the short-domain-and-links moment of 20 years ago. Waiting is the mistake. This isn’t the 21st year of SEO, it’s year one of what comes next.

How We Run an Engagement

Discovery and the first conversation

We open with "how did we get here?", run the brand’s own Reddit search live on the first call and let the room go quiet, then push past the surface goal to the real one. We ask the expectations question, "what do people genuinely expect from your brand on Reddit?", challenge assumptions, and deliver a simplified opportunity report: current presence, sentiment, the immediate opportunity, audience size, and the Google and LLM impact with a couple of quick wins. We never validate the "Reddit ROI is impossible" fear, we flip it to confidence and list the ways we track it. The single most effective closing move is to deliver a real result before the call, a live ranking example beats any pitch.

Onboarding cadence

A phased onboarding over three to four months. Month one is foundation: the brand-discovery package, communications, legal, and account and subreddit setup. Month two is karma building and commenting only, plus testing and moderator outreach. Month three introduces the brand and starts posting. Month four and beyond is full execution, ranking and LLM-targeted content. Meaningful results land by month four to six, and a badly damaged brand takes closer to nine months. The brand-discovery package means learning the business like a new employee: support docs and common complaints, legal sensitivities, tone of voice and words to avoid, mission, upcoming launches, and FAQs.

The team model

The delivery philosophy is outcomes over tasks. Exactly one person owns a report or an engagement end to end, because when responsibility is shared, nobody’s accountable. We try to decouple approval from ownership, since heavy approval only exists when there isn’t trust in the process, so the fix is a simpler process or higher skills, not more sign-offs. We break work into the smallest useful tasks and route each to the most efficient capable resource, human or AI. We run a fast ROI track (research, engagement, quick wins) in parallel with a slow logistics track (accounts, subreddit, email, approvals), so value isn’t stuck behind setup.

Comment approval is tiered to protect karma speed: pre-approved thank-yous, templated FAQ replies, reviewed escalations, and full approval only on crisis responses. Requiring sign-off on every karma comment defeats the purpose.

KPIs and measurement

Two views stack together. The 60/30/10 view: 60% Reddit platform health (community growth, engagement depth, sentiment, content performance, account health, AMA performance), 30% search impact (rankings for brand queries, the share of page one that’s Reddit, AI Overview citations, trends), and 10% LLM impact (monthly AI-response audit, citation tracking, prompt coverage, competitive positioning), with the LLM weight rising over time. Underneath that, every KPI is tagged to a journey phase and sorted into three layers: Activity (controllable, like threads posted and moderator touches), Reach (partly controllable, like front-page hits and page-one rankings and LLM citations), and Impact (the outcomes, like sentiment shift, brand appearance in "alternatives to X" answers, and conversions attributable through UTMs and promo codes).

We capture a baseline before anything goes live: a sentiment snapshot of the top threads per topic, an LLM-visibility snapshot of the target queries across the models with screenshots, a Google SERP snapshot, and brand mention volume. We treat attribution as existential and build it from day one: UTMs, dedicated landing pages, "how did you hear about us?" at intake, CRM tagging, and training sales to dig past "found you on Google."

Escalation, crisis readiness, and off-boarding

An escalation protocol with real response windows: a negative thread gaining traction is flagged within hours, drafted within a day, and client-approved within a day. A moderator action pauses posting and triggers outreach. A visible incident convenes a client-and-agency war room within a couple of hours. We also run tabletop crisis dry-runs where every function, legal included, drafts an anonymized reply to real posts and the team roasts each other’s drafts, so compliance mistakes get caught by PR before launch. And when a client leaves, we off-board properly: a final workshop, handover of the subreddit, the AutoMod code and version history, and the accounts, then we purge their data. It’s just how we operate.

Mental Models and Analogies

The Four Legs of Reddit Strategy. Pick the two that fit, don’t run all four: Crisis and Reputation Management, Search Reputation, High-Validation Product and LLM Visibility, and Top-of-Funnel Community Building. Established and negative leans on the first two, established and positive on the middle two, unknown or long-cycle B2B on the last two.

Three Levels of Narrative Control. Level one is direct control (recover the subreddit, remove hostile mods, rewrite rules and AutoMod, address the negative head-on). Level two is creating competing positive content in communities you don’t control. Level three is accepting that some negatives are permanent and building enough genuine positive material that they stop being the whole story. Be honest about which level your authority and resources actually support.

The 100-50-75 sentiment recovery model. Move from all negative to a 50/50 split (the hardest step), then to 75/25 momentum, then to sustained maintenance. Jumping straight to 75 looks desperate.

HALT for individual negatives: Halt, Acknowledge the impact not the intention, Listen, Take action.

The analogies we teach with, because they carry the strategy faster than a model: - Reddit is a conference and your subreddit is your booth. You don’t walk in and grab the mic on stage, you go to the networking event and have conversations. - Reddit is a thousand separate conferences, or WordPress, independent communities, not one platform. Treating five subreddits as one category is the biggest brand mistake. - The bartender keeps the creepy guy out even though he broke no written rule. - Benadryl is for allergies and just happens to make you sleep. The information is the antihistamine, the validation is the sleep people are really there for. - Optimizing for ChatGPT is like optimizing for a librarian: you can’t control the recommendation, but you can make sure your book is the best one on the shelf. - Buying a car, people decide emotionally and justify logically. - "Reddit is left": people go right logically and left emotionally, and Reddit is left. - Water and pipes: strategy is watching where energy flows and rerouting it so it becomes valuable. - Don’t think about the polar bears: never fight a negative by repeating it, imprint a positive story instead. - The tour guide: there should never be an end to a tour guide, always show the next place you’ll take them. That’s how retention works. - The diamond thief: clients don’t care how you steal the diamond, they want it placed in their hand with its value intact, so over-explaining your craft removes the value.

Two more borrowed ideas we use often: things spread based on how sharing makes the sharer feel, because sharing a recommendation means sharing responsibility for the decision, and you can’t overcome a person’s resistance by piling on more examples, you embrace the "no," get curious, and let them find their own "yes." That’s why we invite the internal skeptic into every workshop.

Tools and Systems

Autopilot, our internal Reddit brand-management and planning dashboard. It handles brand-health monitoring, priority mentions, a master engagement inbox, account and subreddit activity, insights, and a Brand Shield for negative-mention alerts and crisis detection, with each thread AI-scored against that brand’s goals and per-brand data isolation.

An LLM-visibility tracker (Bart’s platform) that maps where brand conversations happen across Reddit and search, shows which questions and threads rank and trigger AI answers, and tracks per-keyword and competitor visibility across the models, used to show clients the before-and-after impact of Reddit work.

Account-health tooling: an internal diagnostic workflow that parses an account’s activity, builds a profile, researches the target subreddits, and scores engagement dimensions, used to keep client accounts healthy.

The AutoMod stack: a structured eight-phase build with a hard human approval gate before any code is written, with local regex validation against the same engine Reddit uses and a test suite that generates match, variation, near-miss, and evasion cases. Every included and excluded term is traceable in a phrase library, and rules are heavily commented. A private moderation app, built on Reddit’s developer platform and installable across client subreddits, doubles as an added-value moderation layer for every client community.

A multi-agent content pipeline that turns a source (a webinar, a podcast, notes) into ready-to-publish pieces across short video, LinkedIn, articles, graphics, and email, with a source-tier protocol where every claim traces to a tiered source, mechanical quality checks, and an anti-sameness system that rotates post structures so no two consecutive pieces share a skeleton.

AI runs throughout the operation, as a multi-role team and as a per-client research overlay that assists but never writes. Isolated browser profiles with static residential IPs handle account safety. Call transcription feeds recaps and research. And we build proposals, decks, and case studies through automated pipelines that run parallel research, capture screenshots, and assemble branded outputs.

On the broader tool question, most third-party LLM trackers do roughly the same thing, and a social-listening suite can manage a brand’s own subreddit but can’t see threaded context or reach other subreddits, so we treat tools as a lead to go look at the real thread, not a substitute for being in the community.

How We Build Proposals and Case Studies

The proposal is a story, not a brochure. A password-protected single-page web presentation, structured as four acts (Opportunity, Customer, Strategy, Investment) with the price always last so it doesn’t stop the value story. A proposal that doesn’t walk the client through a change of mind is a brochure.

Evidence is a four-channel screenshot system: Google, Google’s AI Overview, an LLM like ChatGPT or Perplexity, and Reddit Answers, each proving Reddit surfaces organically or gets cited. Queries mirror how real people actually search, so "reddit" never goes in the query; if Reddit surfaces, it surfaced on its own. And if a channel yields no Reddit citation, that’s a real finding shown as the gap, not faked.

Two rounds of QA, once as the client (does it address their stated goals, is it tailored, are the competitor claims accurate) and once as the designer (rendering, links, typography). The gate hard-fails any asset that isn’t verified client-specific, any named individual in client-facing copy, and any fabricated or unsourced evidence.

Case studies hold the same bar. Every result stat carries a baseline, a timeframe, and a source. One wrong figure kills a whole case-study page, so exact numbers only.

The principles that run through all of it: - Value, not vehicle. Copy sells the client’s outcome, never describes the document. - The proof hierarchy: a named human beats live checkable evidence, which beats a real dated screenshot, which beats a raw metric. A metric only becomes proof with a baseline, a timeframe, and a source. - Translate activity into outcomes. Upvotes become share of voice, impressions become AI and search visibility, sentiment becomes reputation risk removed, rankings become presence in the consideration set, everything ties to pipeline and time-to-impact. Raw upvotes read as fluff to a CEO. - Frame competitors by what Reddit says about them, not by market share, because community sentiment is trusted more than an agency’s comparison. - Deck discipline: build the narrative first, never build the deck the day of, about two words per point. A three-minute presentation on two or three stories beats an hour of data.

On positioning: buyers want to feel that Reddit is safe, that it won’t blow up and won’t create a mountain of work for their team. The recurring question is "what is my team on the hook for?" That’s why the champion-enablement work exists, and why everything we deliver is built to be defensible in the room where we aren’t.

The Ideas That Set Us Apart

The land-grab crystal ball. The GEO window is the short-domain opportunity of 20 years ago, and we tell clients we have a crystal ball that shows where things are going. Waiting is the mistake.
Off-boarding done right. We hand everything over and teach a departing client to run it themselves, then purge their data. It builds trust, and a "succeed on Reddit yourself" owned subreddit doubles as a live case study and a lead channel.
The shared-learnings pattern. Platform-level learnings from moderating our own communities protect every client (client data never crosses engagements), and the public list of moderation bots installed on any subreddit tells you how strictly it’s automated before you ever post.
Contests as content fuel. A giveaway with a "post your worst nightmare" prompt stacks genuine comments and puts the brand account at the center of its own event. Contest Mode keeps the voting honest.
Hostile-audience turnaround by humor. One campaign flipped a failed push into good-natured engagement with the haters, even buying awards for people who insulted the account, and turned strongly negative karma positive on a tiny budget.
Content pruning as a ranking signal. Removing the bulk of a domain’s underperforming content trains Google and the models that it’s consistently high quality, an idea we test for subreddits too.
Category news. When news breaks in the category, be present and genuinely useful in the threads where people are already asking "what’s a good alternative?"
Community revival. Reddit’s own policy lets you request moderator status of a community inactive for months, so an abandoned large community can be revived through the official request process, given active moderation again, and opened to rules that reward anyone adding value, brands included.
The hackathon method to kill limiting beliefs: give the team fresh accounts and a neutral brand and one day to generate the most karma, which surfaces what actually works and ends the "you can’t post because of the rules" mindset.
The intrapreneur model. Internal initiatives are rewarded with a share of the value created, and a strong operator can grow from initiative to product owner to partner, including on regional expansion.
The self-improving voice system. A model that, after use, reviews its recent conversations and edits and rewrites its own instruction set, version-stamped, so the guidance keeps sharpening instead of going stale.
Reddit’s real advantage. It’s the only content source that can tell Google, effectively, pay us or we pull our content, which is why the human, conversational layer keeps gaining value as AI content floods the rest of the web.

In Our Own Words

On what Reddit actually is - "Reddit is not about content, it’s about conversation." - "Your only purpose on Reddit is to comment. If all you’re doing is posting, you don’t even know what Reddit’s about." - "You don’t walk into a conference and walk right on stage and grab the mic. You go to the networking event and have some conversations." - "Promotional is not just a word. It’s kind of an energy, and people can read through it." - "Rules are only the things so bad that we’ve decided to put a sign up. It doesn’t mean there aren’t a hundred other reasons we’ll kick you out." - "The worst thing you can do on Reddit is nothing."

On how it really works - "This is basically your real karma. We think you’re a low, medium, or high quality account based on everything we can see about you." - "Reddit doesn’t care how long you’ve been there. If you make a bad post, it’s a bad post." - "If you can write it in a guide, Reddit can detect it as a pattern." - "The best way to succeed on Reddit is to not fail." - "Misspelling is endearing. Perfection signals inauthenticity." - "If there’s nothing wrong with the brand, then there’s something really wrong with the brand. Perfection feels weird." - "The top comments were not the most expert ones, they were the funniest, most human ones."

On ranking and AI - "The difference between SEO and Reddit is that it’s problem resolution, not keyword queries. Solve the problem on how to replace a vacuum battery, and every query around that problem in search and LLMs pulls that thread." - "We only need two or three really good ranking posts for clients to be happy for a long time." - "The ranking content that works best is the most Reddit thing ever. No intros, straight to the point." - "We look at what everyone else wrote and we added something extra. We gave Google more depth." (Bart) - "For LLMs you have to imagine you’re explaining to a seven-year-old." (Bart) - "I can bet you a thousand bucks that if it doesn’t rank, you didn’t meet the intent." (Bart) - "Being a source is a sub-metric. You can be a source and not change the answer. It’s about impacting the answer." (Bart) - "Become an answer, not content. We have too much content." (Bart) - "Google created links because it didn’t have a way to analyze conversations. It doesn’t need links anymore." - "There’s no artificial intelligence without human intelligence, and the vast majority of that is coming from Reddit right now." - "In an otherwise AI world, the human voice is more valuable now than it’s ever been."

On the philosophy - "I’m the most anti-marketing marketer you’ll ever meet. Great customer service ends up doing more business than the product itself." - "I don’t sell them Reddit. I sell them confidence that they don’t have to be responsible for this decision." - "Leads are a byproduct. It’s like taking Benadryl to go to sleep. If you’re expecting me to deliver leads, we’re not the company for you." - "There should never be an end to a tour guide." - "Be a Redditor first, a marketer second, and a good person always." - "We’re not doing the 21st year of SEO. We’re doing year one of what comes next." - "Use AI to research, don’t use AI to write." - "Brent is the Reddit OG. I bring a little bit of that boring structure." (Bart) - "We are already outcomes over tasks. Give me the outcome and we can talk." (Bart) - "Complexity is the enemy of execution." (Bart) - "AI is the glue between technology and humanity."

If any of this sounds like the help you’ve been looking for, that’s the work we do every day. Reach out and we’ll start with the same thing we always start with: your brand’s own Reddit search, run live, and an honest read on what we find.