#Content Strategy — Blog

SEO Tutorials Jul 1, 2026

How to Win the "Reddit" Searches AI Runs — Without Ever Posting on Reddit

There are two ways to influence the reddit-flavored searches that AI models run before they recommend a brand. The first is to earn genuine presence on Reddit itself — slow, community-driven, measured in quarters. The second is far less discussed: build your own pages that rank for the "[query] reddit" searches, so your content lands in the model's source set alongside the threads. This post is about the second lever — how to do it well, where the ethical line sits, and how AI brand monitoring tells you which queries to target and whether you're winning them.

#GEO #Reddit #Content Strategy

SEO Tutorials Mar 30, 2026

The Reddit Citation Ladder: From Zero Mentions to Default Source

Reddit is disproportionately cited in LLM answers. Search any BrandGEO audit's per-provider citation surface and Reddit threads appear alongside Wikipedia at the top of the retrieval list. Yet most brands approach Reddit in exactly the way that makes the platform hostile: promotional posts, shallow engagement, shadowbans within a week. This post lays out the ladder that works — the one that earns genuine citations over twelve months without tripping any of Reddit's defenses.

#For Founders #Citations #Reddit

SEO Tutorials Mar 16, 2026

Digital PR for LLMs: How to Get Quoted in AI Answers (Not Just Google News)

Digital PR was originally optimized for two audiences: human journalists looking for stories, and Google's news indexing system looking for fresh authoritative content. In 2026 a third audience has become the dominant one — language models building their summaries of your category. The craft of PR has to shift accordingly. This post lays out how the discipline is changing, what still matters from the old playbook, and what specifically you should write differently when the goal is to be quoted in AI answers.

#For CMOs #Citations #Digital PR

SEO Tutorials Mar 10, 2026

The Entity-First Content Playbook: Structuring Pages for AI Retrieval

The content playbook that served SEO for a decade was keyword-first. Pick a target phrase, cluster supporting topics around it, match search intent, earn links. That playbook still works for Google — but it leaves a significant amount of AI visibility on the table. LLMs do not ingest pages as bags of keywords. They parse them as webs of entities and relationships. Restructuring content to match how the model actually parses is the difference between being retrieved in an answer and being skipped. This is the playbook.

#For SEO Managers #Schema Markup #Content Strategy