LLM Seeding is the practice of placing your brand on the sources large language models retrieve and cite, Reddit threads, comparison listicles, review sites, so that AI answer engines recommend you when buyers ask.
Why it matters
AI engines don't invent recommendations; they assemble them from what already exists on the web. Because most answer engines use RAG, retrieving live web pages before generating, the content on those pages directly shapes the answer. Reddit is disproportionately influential here: its licensing deals with Google and OpenAI made it one of the most-cited domains in AI answers. For a SaaS founder, this means a handful of well-placed, genuinely helpful Reddit comments can outweigh months of traditional link building for AI visibility.
How to use it
- Run a source gap analysis: list the pages AI engines cite for your money prompts, and note which ones don't mention you.
- Earn mentions on those exact pages, answer relevant Reddit threads with real substance, pitch listicle authors, claim review-site profiles.
- Seed authentically. Astroturfed mentions get removed by mods and erode trust; the safe playbook is disclosure plus genuine value.
Related terms
Paul-Marie is the founder of Readyt, the Reddit growth platform for SaaS. He has generated 16K€+ in pre-sales in 2 months using nothing but Reddit, and now helps founders turn Reddit threads into their #1 acquisition channel.
