Research-Backed Approach to Reddit Marketing for AI Visibility

Your buyers are researching your category right now but they are not visiting your website. They're asking ChatGPT, Perplexity, and Google AI Overviews. And those systems are increasingly pulling their answers from Reddit.

Which means if your brand isn't showing up in the right Reddit threads, it isn't showing up in AI answers either.

The solution is Reddit Community Seeding: systematically contributing experience-based answers to targeted subreddits so AI systems cite them. I ran this as a real test, not a theory, and built the system based on what actually worked.

This article gives you a research-backed approach to building that system from scratch. You'll learn:

• How to set up an account that won't get shadowbanned.
• Identify the exact threads worth commenting on.
• Track which comments are driving your brand into AI-generated answers.

How to Set Up a Reddit Account That Won't Get Banned

Everything starts here. A poorly set up account gets shadowbanned before it ever reaches a target subreddit, and Reddit won't tell you when it happens. The decisions you make in the first hour of account creation determine whether this strategy survives or collapses in week one.

Choose the Right Account Type Before You Create Anything

A personal account built around your professional role outperforms a branded company account in almost every B2B subreddit. Reddit users trust practitioners, not vendors.

Build one persona per functional audience. The persona should reflect the practitioner your buyer is, not the vendor you are. A DevOps tool company doesn't build a marketing manager persona. It builds a sysadmin at a 300-person company.

Three account types and when each works:

• Personal practitioner account: The strongest performer across B2B subreddits. Lowest spam signal, highest community trust, best upvote velocity.
• Founder account: Works when the founder is genuinely active and discloses their role transparently. Authenticity is the only thing that makes this viable.
• Branded company account: The hardest to run without triggering spam filters. Higher downvote rates, lower citation potential, mod scrutiny from day one.

One rule that applies to all three: the username should never include the company name.

Use a Clean Email, Home Internet, and Complete Your Profile Before Posting Anything

Reddit links accounts across four signals before a single comment is posted: email age, IP address, browser fingerprint, and creation timing. One wrong input flags the account before it ever reaches a target subreddit.

Three rules with no exceptions:

• Email age: Use an address at least one year old. Fresh emails are a spam signal.
• Internet connection: Create the account on home internet only. No VPN, no coffee shop Wi-Fi, no mobile hotspot.
• Profile completion: Add a profile picture, a bio with your professional role, and one link before any activity. An incomplete profile is a spam signal before you've written a single word.

Configure Privacy Settings to Reduce Pattern Detection by Moderators

Once the profile is complete, go directly to privacy settings before any activity begins.

One setting matters most: navigate to "Content and Activity" under the "Profile" tab, and select "Hide all". This prevents moderators from scanning your full comment history across subreddits in one view. A new account visibly active across multiple B2B subreddits in week one is a pattern moderators flag immediately.

Reddit's Contributor Quality Score (CQS) scores behavioral patterns beyond just age and karma: post timing, subreddit diversity, comment-to-post ratios, and downvote engagement. A dormant account that suddenly starts dropping product mentions in niche B2B subreddits gets flagged faster than a new account with consistent organic behavior.

An incomplete profile with default privacy settings is a spam signal. Complete both before the first comment goes live.

Run the Incognito Test Weekly and Appeal Within 28 Days If Shadowbanned

Reddit does not notify you of a shadowban. Your comments look live to you and invisible to everyone else. The only way to know is to check yourself, and I recommend doing this every week without exception.

Here's what I tell people to do: open an incognito browser window and type your Reddit profile URL into the address bar (reddit.com/u/yourusername). You're now viewing your profile the way everyone else sees it, with no login. If your posts and comments are visible, you're fine. If the page looks empty or recent activity is missing, you're shadowbanned.

To confirm, go to r/ShadowBan and post your username. The subreddit's bot automatically checks the account status and replies with the result within minutes.

If you are shadowbanned, go to Reddit Help (reddit.com/appeal) and submit an appeal explaining that you believe your account was flagged incorrectly. Do this within 28 days of the ban for the highest chance of recovery. Appeals submitted after 28 days have a significantly lower success rate.

Four patterns that predictably trigger shadowbans:

• Brand mentions before Day 60: The account hasn't built enough credibility to survive promotional signals.
• Burst activity followed by silence: Posting 20 comments in two days then going quiet looks automated.
• Link-heavy comments: Outbound links in early comments are the fastest shadowban trigger.
• Posting across unrelated subreddits: No topical focus reads as a spam account to Reddit's detection system.

How to Warm Up the Account Before Posting in a Targeted Subreddit

A new account that jumps straight into target subreddits gets flagged. Reddit watches new accounts closely for the first 14 to 30 days. I treat the warmup phase as non-negotiable, and in my experience, how long you run it determines how much risk you carry into the strategy.

Choose Your Warmup Strategy Based on How Much Time You Have

Three approaches exist depending on urgency:

Conservative (6 to 8 weeks, lowest risk)

The safest path. Builds genuine account credibility before any brand signal appears. Recommended for teams treating this as a long-term citation channel.

• Weeks 1 to 2: Upvoting only, no comments
• Weeks 3 to 4: Commenting in target subreddits
• Weeks 5 to 6: First text posts
• Weeks 7 to 8: Soft brand mentions

Faster (3 to 4 weeks, medium risk)

Viable for teams with some urgency. Higher shadowban risk than conservative, but manageable with consistent daily activity and no promotional signals in week one.

• Week 1: Comment 5 to 10 times daily
• Week 2: First posts in target subreddits
• Week 3: Soft brand mentions begin

Quick (1 to 2 weeks, highest risk)

Only worth attempting if the account already has some history. A brand new account running this approach risks getting flagged before it produces a single citation.

• Day 1: Frequent comments on rising posts
• Day 4: Non-promotional posts
• Day 8: Careful promotional mentions

Conservative approach builds compounding equity. For most B2B SaaS teams running this as a long-term channel, it is the only approach worth choosing.

Post Daily in High-Velocity General Subreddits to Build Karma Before Target Subreddit Access

During warmup, niche subreddits are slow karma surfaces. A single detailed answer in r/AskReddit can earn more karma than a week of commenting in r/dataengineering.

Post 3 to 5 substantive comments daily across high-velocity general subreddits:

• r/AskReddit: Highest karma velocity on the platform. Answer specific, experience-based questions rather than broad opinion threads.
• r/NoStupidQuestions: Lower competition, easier to get upvoted, good for building early comment history.
• r/CasualConversation: Builds a natural, human comment pattern that reduces spam signals during moderation checks.

Save the target subreddits for after the karma threshold is met. Showing up in r/analytics or r/dataengineering before the account has credibility wastes the opportunity and risks the account.

Hit the Karma Thresholds That Unlock Subreddit Access and Avoid Farming Subs

Most B2B subreddits require 50+ karma before a post goes live. Here is the threshold map to work toward:

• 50+ karma: Minimum to post in most moderated B2B subreddits
• 200+ karma by Day 30: Full account credibility, reduced mod scrutiny
• 1,000+ karma: Recognized community member status

In our research, the median karma of OPs whose threads got cited by AI was 709. The median commenter inside those same cited threads had 1,920 karma. These are not overnight numbers. Whether you are starting threads or contributing to them, the accounts getting cited have months of consistent activity behind them. The 200+ by Day 30 threshold gets you in the door. The 700 to 2,000 range is what you are building toward over the first six months.

One shortcut that destroys the strategy before it starts: karma farming subreddits like r/FreeKarma4U. Accounts sourced from farming subs get banned on sight in moderated communities. Reddit's detection systems flag these subreddits specifically, and any account with farming activity in its history carries that signal permanently.

Build karma through substantive comments in general subreddits. It takes longer. It's the only approach that survives moderation.

Never Mention Your Brand, Drop Links, or Post in Bursts During the Warmup Window

The warmup phase has one rule: do nothing that looks promotional or automated.

• No brand mentions
• No outbound links
• No copy-paste comments across threads
• No burst activity followed by silence

Reddit's detection system favors steady cadence. Irregular patterns are the fastest route to a shadowban during this phase, and recovering from one during warmup means starting over entirely.

This isn't theoretical. According to Maria Dykstra's Algorithmic Authority Guide (2026), running a Reddit authority program across 22 subreddits, the shadowban wall hit at month two. The cause was posting too fast, too consistently, too obviously coordinated. The fix was a slower cadence and a longer warmup before any brand mention appeared.

Steady daily activity beats coordinated bursts every time. The account that lasts 90 days produces citations. The one that gets banned in week three produces nothing.

How to Identify and Prioritize the Exact Threads Worth Commenting On

Finding the right subreddits is step one. Finding the right threads within those subreddits is where the leverage actually lives. Not every thread produces citations. This block covers how to identify the ones that already do, and how to structure daily activity across two distinct commenting layers.

Snipe the Threads AI Engines Are Already Citing Before You Write Anything

The highest-leverage threads are the ones AI is already citing. Commenting on them doesn't require convincing an AI system that the thread is credible. That decision has already been made.

Run the Reddit Opportunity Workflow daily to surface AI-cited threads in your category. Filter for Brand Radar prompts where Reddit threads appear in ChatGPT, Perplexity, Gemini, or Google AI Overviews responses. When a thread shows up in an AI-generated answer, it has already passed that platform's credibility filter.

Getting your brand into that thread puts you inside a citation the AI is already pulling from. That is the shortest path from comment to citation.

The reasons each platform pulls from Reddit at different rates, and where to focus first, are covered in our article - Why AI Engines Cite Reddit and How Each Platform Does It Differently.

Run a Holistic Sweep Across Relevant Threads Beyond the Cited Ones

Cited threads are the highest-leverage entry points. They are not the only ones worth commenting on though.

AI systems build category consensus from the full body of relevant discussions, not just the threads they visibly cite. A brand appearing only in cited threads has a narrow footprint. A brand appearing consistently across the full conversation graph of a category builds distributed signals that compound into entity association over time.

After sniping cited threads, sweep relevant threads across target subreddits more broadly: comparison threads, implementation questions, competitor mentions, tool recommendation requests. These comments build the consensus layer AI uses to understand your category even when no visible citation appears.

Run Two Commenting Layers Simultaneously: Queue and Organic

The strategy runs on two parallel tracks at all times.

• The Queue (brand-relevant threads): This is where brand mentions happen. One to two out of every ten comments reference the brand. These are the highest-leverage citation opportunities: threads where your product is the direct answer to the question being asked.
• Organic commenting: Everything outside the queue. Threads encountered naturally while browsing, category news, competitor discussions. No brand mention. Ever. This layer builds karma, mod relationships, and recognized-voice status across the subreddit.

Without the organic layer, the account looks like a promotional bot. Without the queue layer, you miss the threads most likely to produce citations. Both tracks run simultaneously, every day.

Hit the Right Daily Comment Volume Across Both Layers

The ratio matters as much as the volume.

• Queue comments: 2 to 4 per day, with brand mention
• Organic comments: 5 to 10 per day, no brand mention
• Net brand-mention rate: 10 to 15% of total activity

80 to 90% of daily output is expertise-only. That ratio is what keeps Reddit's spam detection from flagging the account while maintaining consistent citation presence. Drop below it and the account starts looking promotional. Exceed the queue volume without the organic base and the pattern looks automated.

Check Subreddit Rules Before Posting

Every subreddit has its own rules, and violating them on a new account is a fast path to a ban that no appeal process fixes.

Before commenting in any target subreddit, check three things:

• Self-promotion policy: Many B2B subreddits explicitly ban brand mentions or require vendor flair before any product reference.
• Minimum karma requirements: Some subreddits auto-remove posts from accounts below a karma threshold, even if the account isn't flagged.
• Disclosure requirements: r/SaaS, r/Entrepreneur, and r/marketing require explicit disclosure of any vested interest. Non-disclosure is a ban-worthy offense in moderated communities.

Know Exactly When to Mention Your Brand and When to Skip

Most brand mention mistakes come from mentioning too often, not too rarely. The default should always be to skip unless one of these conditions is met.

Mention when:

• The thread directly asks for a tool recommendation and your product is the genuine answer.
• A competitor is being discussed and your perspective adds an honest, specific counterpoint.

Skip when:

• The thread is about general expertise and a brand mention would feel forced.
• The brand has been mentioned in the same subreddit within the last week.
• The comment stands on its own without it.

If you have to ask whether a brand mention is appropriate, skip it.

How to Find the Subreddits AI Is Already Citing in Your Category

Not all subreddits produce AI citations. This block covers how to find exactly which ones AI is already pulling from before you spend a single comment on the wrong community.

Use the Google Forums Filter and Perplexity Citations to Build Your Exact Citation Map

Before targeting any subreddit, find out which ones AI is already pulling from. Three steps:

Step 1: Google Forums Filter

Search your primary category query and click the Forums filter tab. The threads appearing there are the ones most likely entering AI Overview responses. Document the subreddit, thread age, and question being answered.

Step 2: Perplexity Citation Check

Run the same query in Perplexity. If Reddit appears in citations, click through and document the same three things: subreddit, thread age, and question being answered.

Step 3: Map of Reddit

Use the Map of Reddit tool to find subreddits clustering around your category. Subreddits in the same cluster share frequent cross-commenter overlap, which signals ICP proximity.

The subreddits appearing across all three sources are your Tier 1 targets.

Start With the Subreddit Map That Matches Your B2B Function and Buyer Role

Based on Tinuiti Q1 2026 data, here is the subreddit map by B2B function:

• Marketing: r/marketing, r/digital_marketing, r/SEO
• Sales: r/sales, r/b2bsales
• Revenue and Growth: r/Entrepreneur, r/startups, r/SaaS
• Technology and IT: r/sysadmin, r/MSP, r/devops Highest expertise density across the map. Most cited subreddits for technical evaluation queries across all major AI platforms.
• Product: r/ProductManagement, r/SaaS
• HR and People: r/humanresources, r/recruiting Tool recommendation threads here tend to include specific company-size context, which AI systems treat as a high-confidence signal.

Start with the function that matches your primary buyer role.

Set a Posting Cadence You Can Sustain Across Your Target Subreddits

One to two substantive comments per subreddit per week is the sustainable ceiling. Posting faster triggers rate limits even on strong-karma accounts. Here’s what to do:

In our research, 52% of cited threads were over a year old, with a median thread age of 381 days, which means that comments you write today will still be generating citations 12 months from now. That is why a sustainable cadence beats an aggressive one. You are not optimizing for this week. You are building a citation asset that compounds over time.

Consistency beats volume every time on this channel. A cadence you can maintain for 90 days, compounds.

Target Subreddit Wikis for Long-Term Citation Equity Most Brands Never Touch

Most brands focus entirely on comment threads. I almost never see anyone targeting subreddit Wikis, and that's a missed opportunity.

Many subreddits maintain Wikis and "Best Of" sidebars curated by moderators. AI crawlers treat these as gold-standard data. They are more stable than individual threads, repeatedly indexed, and updated by trusted community members rather than anonymous commenters.

In my experience, a brand mention in a subreddit Wiki carries more long-term citation equity than any individual comment thread. The path to getting there is the same as everything else in this strategy: build recognized-voice status in the community first. Moderators add brands to Wikis when they trust the source, and that trust is earned through months of expertise-only participation, not by asking.

Own a Narrow Problem Category Before Expanding Into Broader Communities

AI rewards specificity. Own "SOC2 evidence collection for startups" before "compliance software." Own "cold email deliverability for outbound SDR teams" before "email marketing."

Your Reddit footprint should repeatedly connect the same chain across multiple threads: problem → workflow → your brand. That repetition is what builds entity association in AI systems. Broad community presence without a specific problem anchor doesn't compound the same way.

Own the narrow problem first. Expand once the entity association is established.

How to Write Comments That AI Actually Cites

Comment structure determines whether AI extracts your answer or skips it. Brand mention ratio determines whether Reddit keeps your account active long enough to compound. This block covers both.

Lead With the Direct Answer, Back It With Specific Evidence, and Close With Category Language

Comment structure follows three layers:

Layer 1: Direct answer in the first 40 to 60 words

No setup. No hedging. No "great question." The answer goes first. If the AI reranker doesn't find a clear fact in the opening, it moves on.

Layer 2: Specific evidence in the middle

Named competitor, company size, timeline, or failure mode. Vague claims don't extract. Specific ones do.

Layer 3: Category language in the close

Match the language buyers use when asking AI systems about your category. This is what connects your comment to the query being answered. Keep the whole comment between 50 and 150 words.

The Post Types AI Cites Most: Comparison Tables, Postmortems, and Stack Breakdowns

Not all comment formats produce citations equally. Three post types consistently outperform everything else:

• Comparison posts

Multi-tool roundup threads accounted for 43% of all cited threads in our research, the highest of any discussion type. When a thread names multiple tools and your brand is one of them, AI has everything it needs to form a comparison answer. Use Markdown tables when comparing products. AI scrapers ingest structured tables faster than prose comparisons.

• Stack breakdowns

"Our GTM stack for a 20-person SaaS" style comments generate co-citation patterns. AI learns your brand belongs in a known tool ecosystem. Being named alongside established tools in a stack breakdown is one of the strongest entity association signals available on Reddit.

• Postmortems

"Why we switched from X to Y" comments get deeply indexed because they contain nuanced reasoning, named entities, timelines, and failure modes. Everything AI needs to form a confident, specific answer in one passage.

Maintain Entity Consistency Between Reddit and Your Website or AI Won't Connect Them

AI builds a knowledge graph of your brand across every surface it indexes. Inconsistent terminology breaks that graph.

If your website calls the product "revenue intelligence software" and your Reddit persona calls it "sales analytics," AI may not connect them as the same entity. Two disconnected signals instead of one reinforcing one.

The fix I recommend is simple: use the same technical terminology in your Reddit comments that you use in your website copy and schema markup. Same product name, same category language, same use case framing.

In my experience, consistent naming across surfaces is how Reddit presence reinforces owned content authority. Inconsistent naming means both signals end up weaker than either one could be alone.

Cap Brand Mentions at 10 to 15% of Total Activity

Of every 10 comments, 1 to 2 mention the brand. 8 to 9 are expertise-only. That ratio is not a suggestion. It is what keeps the account alive long enough to compound.

In our research, 88% of TOFU citation rows contained threads where the brand wasn't discussed at all. The majority of AI citations at the awareness stage come from threads where no brand mention exists. The organic layer isn't just account protection. It's where most of the citation volume actually lives.

The commenter profile data reinforces this. The median commenter inside cited threads had 2,032 karma and 6.0 years of account history. These are established community voices, not promotional accounts. That is the profile AI retrieval systems are pulling from.

Mention when:

• The thread directly asks for a tool recommendation and your product is the genuine answer.
• A competitor is being discussed and your perspective adds an honest counterpoint.

Skip when:

• The comment works without a brand mention.
• The brand has appeared in the same subreddit within the last week.

Andrew Shotland's controlled test makes the stakes clear. 100 brand mentions using 1,000 purchased Reddit accounts moved citation rate from 8-9% of tracked prompts to approximately 27% within two weeks. When they stopped, it dropped straight back to baseline.

Synthetic signals do not compound. Authentic ones do.

Name Competitors and Acknowledge Tradeoffs to Make Your Brand Mention Citation-Worthy

A brand mention that names competitors and acknowledges tradeoffs is more credible to both Reddit users and AI extraction systems than one that doesn't.

"Clay is more flexible, but we found Acme easier for SDR onboarding at scale" creates stronger retrieval signal than "Acme is the best." The first gives AI everything it needs: two named entities, a comparison dimension, a use case, and a specific outcome. The second gives it nothing to work with.

The pattern that works:

• Name the competitor directly
• Acknowledge what they do better
• State where your product wins and for whom
• Keep it specific to a company size, use case, or workflow

Credibility comes from honesty. An answer that admits tradeoffs gets upvoted by practitioners and cited by AI. An answer that doesn't, reads as promotional to both.

Disclose Your Role Every Time and Apply for Verified Vendor Flair on Your Top Subreddits

Reddit's spam policy requires vested-interest disclosure whenever you mention your brand. r/SaaS, r/Entrepreneur, and r/marketing ban accounts for non-disclosure. This is not a grey area.

Three disclosure framings that work:

• Direct founder disclosure: "I'm the founder of [product]. In our experience working with 50-person SaaS teams..."
• Expertise-led with brand secondary: "I work in revenue operations and built a tool for this exact problem. The approach that worked for us..."
• No brand mention: When the comment stands on its own, skip the brand entirely. No disclosure needed.

Apply for verified vendor flair on your top three target subreddits. Once done, brand mentions read as transparent expert input rather than promotional spam. Most subreddits grant flair to accounts with established karma and a history of non-promotional participation. Build that history first.

How to Track Whether Reddit Is Actually Driving Your AI Citations

Without tracking, you are running a strategy you cannot measure, scale, or defend. This block covers the exact system for knowing which subreddits, comment formats, and thread types are producing citations and which ones aren't.

Build a Comment Log and Run Weekly Citation Checks Across ChatGPT, Perplexity, and Google

The tracking system has two components: a comment log and a weekly citation check.

The Comment Log:

Log every comment posted with these fields:

• Subreddit
• Date posted
• Thread type (comparison, tool recommendation, postmortem, general)
• Word count
• Brand mention: yes or no

Weekly Citation Check:

Run your primary category queries across ChatGPT, Perplexity, and Google AI Overviews every week. When your brand appears, trace back to the source thread. That trace is what tells you which subreddit, thread type, and comment format produced the citation.

Set a Baseline First:

Before any Reddit activity begins, run your 10 highest-intent queries across all three platforms and document every citation. Run the same queries at 30, 60, and 90 days. The delta between baseline and each checkpoint is your proof of progress.

Use the Right Tools to Track Reddit-Driven AI Citations at Scale

A spreadsheet works fine when you're posting 20 to 30 comments. Once you're across 5+ subreddits with 100+ comments, manual tracking breaks down.

That's where VisibilityStack comes in. It tracks which Reddit comments are getting cited by AI platforms, shows you which subreddits are driving the most citations, and connects those citations to actual pipeline movement.

For a free leading indicator, check the Google Forums tab weekly. Threads ranking there for your target queries are likely to appear in AI citations within 4 to 8 weeks.

Plan for 30 to 90 Days Before First Citations Appear and Do Not Abandon the Channel Early

Most teams quit too early. Here is the actual timeline:

According to Maria Dykstra's Algorithmic Authority Guide (2026), month three is when the strategy starts producing visible results.

Brands expecting 30-day results abandon the channel before it compounds. The ones that don't are the ones showing up in AI answers six months from now.

Distribute Across All Four AI Platforms to Hedge Against Single Platform Dependency

In October 2025, Perplexity was sued by Reddit over unauthorized data scraping. Citation share dropped significantly before partial recovery began. Brands that had built their entire strategy around Perplexity felt it immediately.

The hedge is simple: track presence across all five platforms simultaneously. Google AI Overviews, Gemini, ChatGPT, Claude, and Perplexity each ingest Reddit differently and on different timelines. A disruption to one pipeline doesn't take down the others.

No single platform dependency. Ever.

Measure Branded AI Mentions and Citation Frequency, Not Karma or Referral Traffic

Karma is not the goal. Referral traffic is not the goal. AI citations are.

Run these two searches weekly across ChatGPT and Perplexity:

• "Best tools for X"
• "Alternatives to Y"

Track whether your brand appears consistently across both platforms and query types. Four metrics that actually capture Reddit's contribution:

• Citation presence: How often does your brand appear in Reddit threads that AI cites?
• Thread type: Do evaluation and comparison threads carry the highest citation value for your brand?
• Thread recency: Are newer threads being cited, or are older, negative threads still dominating?
• Competitor share: How often does your closest competitor appear in AI-cited Reddit threads versus you?

Tinuiti and Conductor data show Reddit citations in B2B commercial categories growing significantly. If your brand isn't appearing in that growth, that gap is the only metric worth fixing.

A 14-upvote answer in the right subreddit beats a 400-upvote answer in a general one. Karma is the wrong scoreboard entirely.

When Manual Tracking Hits Its Limit, Move to Automated Citation Tracking

The spreadsheet works until volume kills it. At 100+ comments across 5+ subreddits, weekly manual checks across ChatGPT, Perplexity, and Google AI Overviews become unsustainable. When tracking stops, the system stops compounding.

VisibilityStack's Trust Signal Engine automates this layer. It tracks AI citation rate across platforms, maps each citation back to the source Reddit thread, and surfaces sentiment shifts as they happen. The Inbound Conversion Score goes one step further, connecting those citations to pipeline. This way, you're not just counting mentions, you're seeing which Reddit-driven citations are actually moving buyers toward a decision.

When the volume outgrows the spreadsheet, this is where the strategy scales.

The System Works Because It Compounds

Every phase in this system feeds the next. Account credibility unlocks subreddit access. Subreddit access enables comment deployment. Comment quality earns citations. Citations build entity associations. Skip any phase and the one after it collapses.

The brands winning AI citations in 2026 are not the ones with the best website content. They are the ones showing up consistently in the conversations AI uses to form its answers.

Reddit is where those conversations happen. The system outlined here is how you get into them. Start with the account. Everything else follows.