Data updated Oct 30, 2026
RTutor is a platform that uses AI to generate and run R and Python code for data analysis.
How the growth happened
Monthly visit estimates · 2026-05 — 2026-09 · DR 33, flat
Sep 2026
Monthly visits split by channel share: RTutor lost 734 visits from Aug to Sep, with direct contributing 40%.
| Channel | Last 3 months | Change barAug → Sep | Change | Share of change | Current share |
|---|---|---|---|---|---|
| Direct | −291 | 40% | 39.2% ↓0.1pp | ||
| Organic search | −225 | 31% | 32.3% ↑0.2pp | ||
| Referrals | −76 | 10% | 10.1% ↓0pp | ||
| 5 other channels | −140 | 19% | 14.1% ↓0.6pp |
What you can borrow
RTutor’s acquisition moves across pages, search terms and AI referrals, each with its data source.
| Keyword | Traffic | CPC | Rank |
|---|---|---|---|
| r aiUnclassified | 50 | $0.56 | 1 |
| ai rUnclassified | 20 | $0.37 | 2 |
| rtutor aiUnclassified | 20 | — | 3 |
| r/aiUnclassified | 10 | $2.68 | 4 |
| nararouterNon-brand | 0 | — | 5 |
Borrow: Search traffic is mostly branded, riding existing awareness; the non-brand needs it does not cover are open to you.
We diff its public Sitemap daily. Bulk launches or removals will appear here and alert watchers.
0 visits from AI assistants (previous month 0), 0% of all traffic.
Borrow: No need to follow yet; watch whether it scales next month.
Full growth history
What did RTutor do at each step?
Unlock RTutor’s launch posts, community threads and new backlinks, plus a launch checklist you can copy.
Monthly visits 10.7K → 6.4K
Observed eventMonthly visits 8K → 10.7K
Observed eventWhere it launched and who talked about it
Visible after unlockingWhere the new backlinks came from
Visible after unlockingA launch sequence you can copy
Visible after unlockingSame-market benchmark
Sep 2026
Each product uses its latest observed month; different months are not a same-period ranking.
Know the next time RTutor ships pages in bulk
We diff its Sitemap, backlinks and traffic daily and alert you only on real changes.
Method: visits and channel shares are third-party monthly estimates; channel change = monthly visits × channel share, month over month; site actions and traffic are shown by timing only, not as cause and effect.
