Data updated Oct 30, 2026
CodeGeeX is an AI-based coding assistant, which can suggest code in the current or following lines.
How the growth happened
Monthly visit estimates · 2026-05 — 2026-09 · DR 57, +5 MoM
Sep 2026
Monthly visits split by channel share: CodeGeeX lost 4.7K visits from Aug to Sep, with direct contributing 64%.
| Channel | Last 3 months | Change barAug → Sep | Change | Share of change | Current share |
|---|---|---|---|---|---|
| Direct | −3K | 64% | 51.8% ↓1.2pp | ||
| Organic search | −1.8K | 38% | 21.3% ↓1.7pp | ||
| Referrals | −1.2K | 25% | 14.3% ↓1.1pp | ||
| 5 other channels | +1.7K | -37% | 11.5% ↑5pp |
What you can borrow
CodeGeeX’s acquisition moves across pages, search terms and AI referrals, each with its data source.
| Keyword | Traffic | CPC | Rank |
|---|---|---|---|
| codegeexUnclassified | 1.6K | $27.32 | 1 |
| codegeex 官网Unclassified | 150 | — | 2 |
| codegeeUnclassified | 150 | — | 3 |
| ai编程辅助插件 引用代码行Unclassified | 50 | — | 4 |
| codegeex 是哪家公司的？Unclassified | 20 | — | 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 CodeGeeX do at each step?
Unlock CodeGeeX’s launch posts, community threads and new backlinks, plus a launch checklist you can copy.
Monthly visits 75.5K → 45.8K
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 CodeGeeX 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.
