Data updated Oct 12, 2026
Bika.ai, the first AI organizer for vibe working. Build your own agentic AI team combines AI agents, automation, databases, dashboards, and documents.
How the growth happened
Monthly visit estimates · 2026-04 — 2026-09 · DR 48, flat
Sep 2026
Monthly visits split by channel share: Bika.ai lost 5.2K visits from Aug to Sep, with direct contributing 39%.
| Channel | Last 4 months | Change barAug → Sep | Change | Share of change | Current share |
|---|---|---|---|---|---|
| Direct | −2K | 39% | 40.5% ↑0.3pp | ||
| Organic search | −1.8K | 35% | 32.4% ↓0.4pp | ||
| Referrals | −577 | 11% | 10.9% ↓0pp | ||
| 5 other channels | −613 | 12% | 13.1% ↑0.2pp |
What you can borrow
Bika.ai’s acquisition moves across pages, search terms and AI referrals, each with its data source.
| Keyword | Traffic | CPC | Rank |
|---|---|---|---|
| bikaBrand | 710 | $4.38 | 1 |
| twitter automationNon-brand | 170 | $3.64 | 2 |
| bika.aiBrand | 150 | — | 3 |
| bika aiBrand | 140 | — | 4 |
| 千问Non-brand | 100 | $1.45 | 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.
11 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 Bika.ai do at each step?
Unlock Bika.ai’s launch posts, community threads and new backlinks, plus a launch checklist you can copy.
Where 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 · Workflow and Execution
Each product uses its latest observed month; different months are not a same-period ranking.
Know the next time Bika.ai 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.
