Data updated Oct 30, 2026
Airbook is a GTM data platform that helps teams uncover what drives revenue and take action together
How the growth happened
Monthly visit estimates · 2026-05 — 2026-09 · DR 20, flat
Sep 2026
Monthly visits split by channel share: Airbook lost 2.8K visits from Aug to Sep, with organic search contributing 38%.
| Channel | Last 3 months | Change barAug → Sep | Change | Share of change | Current share |
|---|---|---|---|---|---|
| Organic search | −1.1K | 38% | 31.2% ↓5.2pp | ||
| Direct | −1.1K | 38% | 39.2% ↑0.9pp | ||
| Referrals | −242 | 8.7% | 10.2% ↑1.1pp | ||
| 5 other channels | −323 | 12% | 14.9% ↑2.4pp |
What you can borrow
Airbook’s acquisition moves across pages, search terms and AI referrals, each with its data source.
| Keyword | Traffic | CPC | Rank |
|---|---|---|---|
| airbookBrand | 90 | $0.66 | 1 |
| air bookBrand | 0 | $0.62 | 2 |
| air bokNon-brand | 0 | — | 3 |
| where does pql fit in funnelNon-brand | 0 | — | 4 |
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.
15 visits from AI assistants (previous month 0), 1.4% of all traffic.
Borrow: Check how assistants recommend Airbook and work on appearing for the same questions.
Full growth history
What did Airbook do at each step?
Unlock Airbook’s launch posts, community threads and new backlinks, plus a launch checklist you can copy.
Monthly visits 3.9K → 1.1K
Observed eventMonthly visits 2.9K → 5.1K
Observed eventMonthly visits 2K → 2.9K
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 · Analytics and Querying
Each product uses its latest observed month; different months are not a same-period ranking.
Know the next time Airbook 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.
