Those threads rank on page one of Google and feed every AI assistant. Get into them properly and one unit of work pays you four ways.
Then the bonus. ChatGPT, Gemini, Perplexity and Google's AI build their answers from those same threads, so they start naming you. You did the work once.
Inside: the exact threads in your category, what to write in each one with templates, a score for what the assistants say about you today, and a 90-day plan you can start Monday.
68 pages, instant PDF · 3 real audit case files · Swipe file · Free 20-min audit
First edition
2026 · 17 chapters
3.1%
of all LLM citations come from Reddit. Next platform: LinkedIn at 0.3%.
10.24%
of Google's top-three organic slots are Reddit, up from 8.56% two updates earlier.
$60M
a year, the reported Google content-licensing deal for Reddit data. OpenAI signed its own in May 2024.
514.6M
weekly active users, and roughly 1.8 billion visits a month.
This isn't a theory about where search is heading. It is observable today, in results you can pull up yourself in thirty seconds. Below are two captured from live REDD audits, reproduced in the book with the full read of what happened and why.
If the AI's answer is assembled from Reddit, then the lever that moves the answer is Reddit.
You cannot edit ChatGPT's training data. You cannot call Google and ask it to rewrite an AI Overview. But you can change what the Reddit conversations in your category say, genuinely, over time. Change those and you change the raw material every one of these machines reads before it answers.
Figure 1 · who the AI quotes
Share of all large-language-model citations, by source platform. When the machine reaches for what real people think, it reaches for Reddit, by a wide margin.
Source: LLM citation tracking, 2026. Reproduced from Figure 1 of the book.
The method is the same either way. What changes is the pressure you're under and what you need out of it, so the book gives you both: a scoreboard you can defend upward, and a plan you can run yourself.
Head of marketing · demand gen · growth · content lead
Your CEO is about to ask a question you can't answer yet: what is our plan for when customers ask ChatGPT what to buy? Nobody on your team owns AI search, because nobody has a method for it or a way to measure it.
What you get out of it
Then bring us in for the free audit and let us make the case with you.
Founder · co-founder · CEO · owner
You don't need a bigger ad budget. You need to be the answer. Your buyers are deciding in public, on Reddit, on page one, and inside whatever ChatGPT tells them, and right now you're paying to interrupt them somewhere else.
What you get out of it
Or skip ahead and book the free audit if you'd rather we ran it.
Each part moves you closer to the same goal: being the brand the machine names. Open any part to see the chapters.
1. Your customer stopped Googling. They're asking the AI.
2. The AI's answer is built from Reddit. Proved three ways: the signed deals, the citation data, and live results.
3. Defining the win. What "becoming the answer" actually means, as three checkable outcomes.
4. How LLMs and AI search choose which brands to name.
5. Reddit's unique role: trained on, cited, and ranking. Three payoffs from one unit of effort.
6. Why Reddit rejects marketers, and why that hostility is exactly why the AI trusts it.
7. CRAWL. Get into the threads the AI already reads. Fastest, least control.
8. WALK. Create the threads the AI will cite. You author the source it quotes.
9. RUN. Build the community the AI treats as the category authority. Slowest, most powerful.
10. Research: the repeatable system for finding the threads and questions that matter, and the two-column Crawl / Walk map it produces.
11. Writing that the community upvotes and the AI quotes. This is where most attempts die.
12. The full tactical spectrum: white, grey and black hat. Documented so you can recognise what competitors and vendors are doing, not so you run it.
13. Measuring the win: your AI-visibility score, and the attribution halo your analytics dashboard will hide from you.
14. Paid plus organic: using Reddit's ad platform to amplify your way into the answer.
15. High-value special plays: three applications that come up constantly and carry outsized value.
16. Turning it into growth, or into a service you sell.
17. Your first 90 days, sequenced.
Appendices. Three annotated case files from live audits, the swipe file (comment and post skeletons, subreddit launch checklist, the AI-visibility tracker, the don't-list), and a glossary.
Most Reddit programs get killed from the outside. Somebody checks last-click sessions, sees a small number, and concludes it isn't working, while the thing you were actually buying is climbing. So the book gives you a KPI that measures the thing you're buying.
Fix a set of 15 to 30 prompts your customers really ask. Run them monthly across ChatGPT, Perplexity, Gemini and Google's AI Overview. For each, record whether you're named and whether the mention is positive, neutral or negative. Score it, total it, chart it. Here is the worked example from the book, for one prompt across four engines.
| Engine | Month 0 | Month 3 | Month 6 |
|---|---|---|---|
| Google AI Overview | Absent · 0 | Neutral · +1 | Positive · +2 |
| Perplexity | Absent · 0 | Positive · +2 | Positive · +2 |
| Gemini | Absent · 0 | Neutral · +1 | Positive · +2 |
| ChatGPT (default) | Absent · 0 | Absent · 0 | Neutral · +1 |
| Score | 0 / 8 | 4 / 8 | 7 / 8 |
Note the order. The retrieval-connected engines move first because they read what currently ranks. Default ChatGPT comes last, because trained-in knowledge updates slowly. That lag is the machine working as designed, and knowing it is what stops you quitting in month two.
Capability without a starting sequence stalls. This is the order the book puts things in, and you can start step one the day you finish reading.
Days 1 to 15
Build your prompt-and-keyword universe. Run it through all four engines and record exactly where you're named, ignored or spoken of badly, and which Reddit sources drive each answer. Build the two-column Crawl / Walk map. Start seasoning accounts, because that part is slow. You finish knowing precisely what the machine says about you today.
Days 16 to 45
Reputation first: any negative thread that could become the AI's verdict on your name gets a real, human, factual presence. Then into the discovery threads, contributing genuine value with the brand appearing naturally. A handful of quality disclosed contributions a week, plus your first seeded posts.
Days 46 to 90
Widen the Crawl work and lean into Walk: author the ranking posts across your open questions, especially the under-served cluster you can own outright. Then re-run the prompt set against your day-one baseline and read the movement, engine by engine.
If you read it, run the day 1 to 15 baseline, and it tells you nothing you didn't already know, email us within 30 days and we'll refund it.
About the author
Founder, REDD
REDD is a Reddit-only agency. That narrowness is the whole point: the failure modes on this platform are specific, and you learn them by running accounts every day, not by adding Reddit as a line item to a social retainer.
The track record behind the method: a client subreddit grown to 20,000 members in under four months and a second to 10,000, a travel client at 40 or more leads a month at roughly $250 a lead, and zero account bans to date. The book documents what we do, including the parts we refuse to do.
Follow on X north_eastA 68-page PDF, delivered by email immediately. Seventeen chapters across five parts, four appendices including the swipe file and a glossary, real annotated Google and AI Overview screenshots from live audits, the AI-visibility scoring method, and a 90-day starting plan.
No. The subject is which brands the assistants name when a customer asks them what to buy, and the one lever that moves that answer. Google rankings do appear, because Reddit threads that rank are the threads the retrieval-based engines read and cite. Ranking is a mechanism here, not the goal.
No. It is written to be run in house, and it needs one person who can read the target communities weekly and write like a human. If you would rather have it run for you, we run the same program as a service, and every buyer gets a free AI-visibility audit call either way.
The book is honest about the sequence rather than promising a date. Retrieval-connected engines such as Google's AI Overview and Perplexity move first, because they read what currently ranks. Default ChatGPT lags, because trained-in knowledge updates slowly. The 90-day plan gives you a measured baseline in the first two weeks and a re-measured score at day 90, so you can see movement rather than guess at it.
The method taught is disclosed, genuine participation. Chapter 12 documents the full spectrum including grey and black hat tactics, explicitly so you can recognise what competitors and vendors may be doing to you, not so you run them. There is a "don't-list" in the appendix for exactly this reason. We have had zero client account bans to date.
Sometimes the answer is no, and the research chapter is deliberately built to give you an honest go/no-go read early rather than six months in. The case files in the book cover curtains, eczema skincare and personal injury law, so "boring" is not usually the disqualifier people expect.
Yes. Use a work email at checkout and you get a receipt you can file. At $47 it sits under most discretionary limits, which is part of why the internal case chapter exists.
In most categories it is being claimed by accident, by whichever brand the community happened to like. You can leave that to chance, or you can go and be the answer on purpose.
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