Subreddit Quality Score — Rank Communities Before You Post | SEO-GEO
Reddit does carry unusual weight in Google and in AI answers — but that weight is not shared evenly across subreddits. Score up to eight candidates at once across four axes.
The common playbook sets hard gates: 50k+ members, 5%+ engagement, 90%+ indexation. Those thresholds come from third-party growth posts, not from Reddit or Google — and a hard cutoff kills valuable niche communities while waving through noisy large ones.
What can you check or produce?
- Weighted 4-axis score: scale 25 / engagement 25 / indexation 30 / AI citation 20
- Evidence first: members, comments per post, posts per day, SERP hits and citation counts all shown
- Indexation measured by site: sampling plus per-post matching, not guesswork
- AI-citation axis uses only your own tracked answers from the last 90 days
- Automatic flags: NSFW, tiny membership, thin engagement, shallow coverage
- CSV export plus one-click handoff to topic discovery and AI citation tracking
How should you interpret results and choose the next action?
The common playbook sets hard gates: 50k+ members, 5%+ engagement, 90%+ indexation. Those thresholds come from third-party growth posts, not from Reddit or Google — and a hard cutoff kills valuable niche communities while waving through noisy large ones. We use continuous curves instead: scale is log-scaled with no cliff at 50k, engagement blends comments per post, posting cadence and median upvotes. The fourth axis is the one nobody else runs: we match the community's URLs against your own AI-tracked answers from the last 90 days to get an actual citation hit rate. With fewer than 20 tracked answers the axis is dropped and weights renormalised rather than faked.
Frequently asked questions
Is this an official Reddit or Google standard?
No. It is a 23SEOGEO in-house model (framework id: subreddit_quality_score, provenance level: ours). Every raw number behind the score is printed so you can re-check it yourself.
How accurate is the indexation axis?
It is a proxy, not Google's real indexation rate. We combine SERP depth for site:reddit.com/r/xxx with whether recent hot threads appear in those results. If the data fails, the axis is dropped and flagged.
Why does my AI-citation axis say the sample is too small?
That axis only counts your own AI-tracked answers from the last 90 days. Under 20 answers the noise dominates, so we exclude it rather than print a fake number. It activates once you run more AI SOV tracking.
Does a high score mean I can post at scale?
No. Reddit has explicit rules on promotional posting. This tool only answers whether a community is worth the effort — it is not a licence to spam or impersonate real users.
By the 23SEOGEO team · Last updated: