Setting up keywords
Reddit setup lives under your site's settings. Add the keywords and phrases buyers use when they're asking peers for recommendations — Kelsey will suggest a starter set based on your prompts.
Good keywords are buyer-language phrases, not your brand name: "best CRM for solopreneurs", "alternatives to Notion", "tools to automate invoicing".
Running discovery
Click Run discovery and Kelsey will pull recent and high-signal threads matching your keywords across relevant subreddits. Discovery typically takes a minute or two; results stream into the feed as they're found.
The Reddit feed
Each card in the feed represents one thread — title, subreddit, author, post age, comment count, and Kelsey's score for how worth it engaging would be. Cards include extracted insights and suggested keywords so you can scan-read.
How threads are scored
Kelsey scores each thread on a few axes: relevance to your keywords, how recent it is, engagement (comments, votes), and intent — is the OP actually asking for recommendations, or just venting? Threads where someone is actively asking "what should I use?" score highest.
Engaging without being spammy
Reddit is sensitive to self-promotion. The threads Kelsey surfaces are good opportunities — but the way you reply matters at least as much as which thread you reply to.
- Lead with the answer to the OP's actual question, not your product.
- Be honest about trade-offs — recommend a competitor when it's the better fit.
- Disclose your affiliation. Subreddits with strict anti-promo rules may still remove the comment, but transparency is the right baseline.
- Don't post boilerplate. AI-detector tools flag it instantly and Reddit will too.
Why this matters for AI visibility
Helpful, transparent answers earn upvotes — which feed into the signals AI assistants use when summarising Reddit threads in their answers. The opposite (spammy promo) gets removed and produces zero AI signal.