Owning the category conversation.

For about a decade the SEO playbook for B2B was simple. Find a keyword, build a page, get the page to rank. The rules quietly changed. Reddit signed direct content licensing deals with Google and OpenAI. AI assistants started doing the research for the buyer instead of handing them blue links. And in a lot of B2B categories, the buyer's first real research is now happening inside ChatGPT or Perplexity, not on Google. Reddit is one of the few sources both engines reach for and trust.

Why Reddit ended up in the middle

Three things happened at once. AI writing tools made it cheap to produce passable blog content, and the open web filled up with it. AI assistants needed sources that read as authentic conversation rather than promotional copy. And Reddit happened to be sitting on the largest archive of unfiltered discussion the internet had. Google had already been ranking Reddit threads heavily on commercial searches for a year before any of this formalised.

The result is a feedback loop. Reddit ranks for the prompt. The prompt gets typed into ChatGPT. ChatGPT cites the Reddit thread, sometimes visibly and often inside its retrieval process without surfacing it to the user. The next buyer asks a similar prompt and gets a recommendation shaped by the threads the model has already learned to trust. Inside our analysis of more than 140,000 AI citations across the major assistants, Reddit fills roughly 27% of search slots inside ChatGPT during the query fan-out step.

The metrics that replaced rankings

Three numbers matter more than keyword position in 2026.

Mention rate. The percent of relevant prompts where your brand is named in the AI's answer. Track it for prompts that don't already contain your brand name. The unanchored number is the one that reflects natural recall.

Citation rate. The percent of relevant prompts where your content, or content you appear in, is cited as a source. Reddit threads are the most efficient form of off-site citation for most B2B categories.

Share of voice. Your mention rate over the combined mention rate of you plus your top three competitors, in the same prompt set. This is the rolling number that tells you whether you're winning or losing the conversation, regardless of any individual thread.

Your website is roughly twenty percent of your AI search opportunity. The other eighty percent is what other people say about you in places the models trust. Reddit is the single biggest piece of that eighty percent for most B2B categories.

Entity coverage, briefly

AI models recommend brands by triangulating across what your site says, what third parties say about you, and how your name connects to other concepts in the category. The connections are the entity graph. Your competitors, your integrations, your category terms, your differentiators, your use cases. When your brand appears alongside those entities consistently across Reddit, G2, your own site, and industry coverage, the model learns when to recommend you.

Inconsistent facts about the company across these surfaces hurt more than people realise. We've onboarded clients doing tens of millions in revenue who had three different pricing descriptions across their own pages, their G2 listing, and the top Reddit thread for their brand. The model's response was to refuse to recommend them and recommend a competitor with cleaner consistency instead.

The tactic that ages well

Comparison threads written by real users in subreddits where the audience trusts them are the most durable share-of-voice asset Reddit produces. They rank for years. They get re-cited as the model's training data refreshes. They survive rebrands and feature changes because the audience updates the comments rather than re-writing the post.

The work to manufacture more of these is patient. It is the work the rest of this playbook describes. There is no faster version that survives moderation.