Is someone seeding your brand on Reddit?
Find what people say about your brand on Reddit. Discovers real posts via Google search, detects LLM-seeded (AI-generated promotional) content, and analyzes sentiment.
Reddit is training data. So is the astroturf.
Reddit is one of the largest training data sources for large language models. What people say about your brand on Reddit directly influences how AI search engines represent you. LLM seeding (also called astroturfing) is the practice of planting AI-generated promotional posts on Reddit to manipulate these training signals.
Detecting seeded content matters because it can distort your brand perception in AI outputs and violate platform rules. This tool analyzes Reddit mentions for promotional language patterns, brand name density, and framing that indicate AI-generated content versus genuine organic discussion.
What we detect.
4 checks, each with a plain-English reason it matters. Every one maps to a line in the report.
Brand Mentions
Discovers Reddit posts mentioning your brand via Google search. Works across all of Reddit or specific subreddits you choose.
LLM Seeding Detection
Two-layer analysis: heuristic pre-screening (promotional language, brand density, framing patterns) plus GPT-4o-mini refinement for suspicious posts.
Sentiment Analysis
Categorizes mentions as positive, neutral, or negative based on context around your brand name.
Cross-Sub Detection
Flags authors who post about your brand in multiple subreddits, a common astroturfing pattern.
How We Score (And Why It Matters)
Reddit is one of the largest sources of LLM training data. Your brand's Reddit presence directly influences how AI systems talk about you. This tool helps you monitor that presence and detect artificial seeding.
How many Reddit posts mention your brand? More mentions (especially from diverse sources) signal stronger community awareness.
Is your brand discussed across multiple communities? Diversity signals organic reach rather than concentrated promotion.
Are mentions positive, neutral, or negative? AI training data carries sentiment forward, so negative Reddit threads can influence how LLMs describe your brand.
What percentage of mentions appear genuinely organic? We analyze promotional language, brand density, framing patterns, and cross-posting behavior to detect LLM-seeded content.
Are mentions recent or stale? LLM training systems weight recent content. Active Reddit discussions signal ongoing relevance.
Why Reddit monitoring matters for AI visibility
Reddit is a primary training data source for large language models. What people say about your brand on Reddit directly shapes how ChatGPT, Claude, and other AI systems describe you. LLM seeding (posting AI-generated promotional content disguised as organic Reddit posts) is an emerging concern that can backfire when detected.
Want the full picture across four AI engines?
Radar orchestrates 13 AI visibility audits in staged batches: crawl access, llms.txt, structured data, brand citations, and more. It then surfaces cross-tool conflicts and ships a prioritized action plan for your domain.
Run it on your brand. See what AI can read.
Free, no account, result on this page. When you want the whole picture, Radar runs all 13 audits in one pass.