// reWired Field Guide

The B2B Reddit Playbook for the AI Search Era

How to earn AI citations by showing up right on Reddit. A practitioner's field guide: subreddit targeting, the chunking method LLMs actually reward, posting cadence, and steal-ready templates.

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Format
PDF Field Guide
Length
12 pages
Files
1 file
Price
$0
// The Problem

Your buyer stopped scrolling ten blue links. They ask an AI and read one answer.

If your brand is not one of the sources that answer names, you are invisible in a way page two never made you. This guide has one goal, and it is not follower growth or vanity reach. The goal is citation authority: becoming the source AI systems surface when someone in your category asks a real question. On Reddit specifically, because that is where the machines look.

Reddit is the single most cited domain across AI answer engines, ahead of YouTube and Wikipedia, and it ranks first for B2B buyer-intent queries on Perplexity. Reddit's own data shows 57% of posts that mention a brand keep pulling views for more than a year. The work compounds instead of expiring.

// The Method

Eight steps, in order

Each step assumes the one before it. Skipping the early discipline is how accounts get banned from the one community that mattered.

// Tiering

Rank communities by citation value, not size

A small, active, frequently cited community beats a giant dead one every time. Organize targets into three tiers so effort goes where it compounds.

Tier 1
Primary engagement. The handful of communities where your actual buyers gather and compare notes. Build credibility first, post original content later. Most of your time lives here.
Tier 2
Cross-post and amplify. Adjacent communities where a proven Tier 1 post can travel. Always rewrite the title and intro to fit the tone. Never paste the same text twice.
Tier 3
Monitor only. Large, high citation-value general communities you watch but do not try to own. Comment only when you can add something nobody else is saying.

To find your Tier 1 list, reverse-engineer the machine. Take your ten buyer questions, ask them in ChatGPT, Perplexity, and Google AI Overviews, and note which threads and subreddits get cited. Those citations are your target list, handed to you by the exact systems you are trying to influence.

// The Edge

A model does not retrieve your post. It retrieves a paragraph.

A language model breaks your post into chunks, turns each chunk into a vector, and at answer time retrieves only the few chunks most relevant to the question asked. How you structure the post decides whether the right paragraph gets pulled or the whole thing gets ignored.

// The Appendix

Templates to steal

The back of the guide is fill-in-the-brackets: four post title and hook templates, the full five-chunk post template, a comment response template, and the plain disclosure line for your account bio. Plus a 90-day starter plan that takes an account from zero to cited.

Download the playbook Read it in the browser →