A weighted check of the structural signature AI engines reward in Reddit threads. Upvotes are deliberately excluded: 80% of cited B2B threads have under 20 upvotes. Real citation depends on engine, recency and competition.
How this works
An LLM does not read a Reddit thread the way a human does. It is indifferent to karma and awards; it scores candidates by semantic density and answer directness. Across 248,000 cited Reddit URLs, the winners share a signature: a question title, a text self-post, a direct answer placed early, and named entities with a metric. This scorecard weights those factors and ranks your biggest fixes. Votes are not on the list on purpose, 80% of cited threads have fewer than 20 upvotes.
How to use it
- Paste or describe the thread.
- Score it against the cited-thread signature.
- Apply the highest-leverage structural fixes.
Frequently asked questions
Why do AI engines cite low-upvote Reddit threads?
Because they select on structure, not popularity, most cited B2B threads have fewer than 20 upvotes. A clear question, a direct detailed answer, named tools and a recommendation pattern matter far more than karma.
What makes a Reddit thread citable?
A specific question in the title, a substantive top answer that names products with reasons, comparison language ('X vs Y'), and recent activity. The scorer rates a thread against that signature and shows what to improve.
Is the Reddit Thread Citability Scorer free to use?
Yes. The Reddit Thread Citability Scorer is completely free, with no sign-up, no usage limits and no watermark on the output.
Is my data private?
Yes. The Reddit Thread Citability Scorer runs entirely in your browser. Nothing you paste or enter is uploaded, stored or sent to any server.
Related tools and reading
Keep going with the playbooks and tools behind this one.