Tabbit Traffic, SEO & Growth Analysis

tabbit.aiKnowledge ManagementDomain 1 year 5 monthsObserved Oct 18, 2026

Visit website

The Agentic AI Browser

  • Traffic declining · 2 months running
SIGPIK VERDICT · Sep 2026

Tabbit visits fell 15% in Sep, mostly lost from Direct

In the same window, Tabbit’s Sitemap added 21 pages, mostly under /blog. The timing overlaps — worth a closer look.

Reconstruct every step Tabbit took →
Monthly visits
960.8K
↓ 15.5% · −175.8K MoM
Market rank
#5 / 52
1.7% of market traffic
Domain Rating
24
↑ 1 · vs last month
AI referrals
85
0% of traffic, early
01 · How the growth happened

Tabbit Traffic Trend & Channel Attribution

Monthly visit estimates · 2026-04 — 2026-09 · DR 24, +1 MoM

0500K1M1.5M2MAprMayJunJulAugSep

Sep 2026

960.8K↓ 15%

Where the new visits came from

Monthly visits split by channel share: Tabbit lost 175.8K visits from Aug to Sep, with direct contributing 86%.

Monthly breakdown
Monthly visits by channel (estimated)
ChannelJunJulAugSep
Total791.6K1.3M1.1M960.8K
Direct587.4K1M961.1K810.8K
Organic social45.7K81.8K74.8K53.9K
Organic search98K105.8K48.1K44.4K
Paid search20.5K7.1K8.8K19.8K
Referrals24.2K38K23.5K19.6K
Display ads1.7K3.8K6.2K3.2K
Email5K6.2K6.4K2.9K
Paid social7933.4K883715
Visit change by channel
ChannelChange barAug → SepChangeShare of changeCurrent share
Direct−150.4K86%84.4% ↓0.2pp
Organic social−20.9K12%5.6% ↓1pp
Referrals−3.9K2.2%2% ↓0pp
5 other channels+483-0.3%7.4% ↑1.2pp
02 · What you can borrow

Tabbit SEO Keywords, Sitemap Pages & AI Referrals

Tabbit’s acquisition moves across pages, search terms and AI referrals, each with its data source.

Pages · daily Sitemap diff — 21 pages added in 26 days

Pages listed in the Sitemap grew 21.2% over 26 days, from 99 listed URLs to 120 listed URLs.

  • /blog+20
  • /linux-wishlist+1

Borrow: Generate pages of this kind from data you already have (see /blog) to capture long-tail search.

Search · source keywords — Non-brand terms bring 39% of search traffic

Non-brand terms are traffic anyone can compete for; higher CPC means higher commercial value.

Borrow: Search traffic is mostly branded, riding existing awareness; the non-brand needs it does not cover are open to you.

AI referrals · ChatGPT, Copilot… — AI referrals are early — not a growth source yet

85 visits from AI assistants (previous month 130), 0% of all traffic.

  • Gemini2.8%
  • Perplexity59%

Borrow: No need to follow yet; watch whether it scales next month.

03 · Full growth history

Tabbit Promotion History, Backlinks & Launch Timeline

Above is what we observe automatically. The reconstruction starts from these moments, searches launches, community threads, directory listings and backlinks from the same period, fills in what Tabbit did at each step, and gives you a sequence to follow.

  • Promotion timeline with original sources
  • Traffic before and after each channel
  • Exportable launch action list

Unlock Tabbit’s promotion research & launch action pack

Review launch channels, backlink evidence and marketing milestones, then export your action checklist. A one-off purchase includes permanent access and regeneration for this product.

  1. New backlinks discovered for Tabbit

    Observed · Backlinks
  2. Tabbit's public Sitemap now lists 21 more URLs

    Observed · Sitemap
  3. Monthly visits 791.6K → 1.3M

    Observed · traffic data
  4. Where it launched and who discussed it

    Product Hunt, Reddit, X, directories
  5. Which channels produced new backlinks

    Ordered by first seen
  6. A launch sequence you can follow

    Exportable action list
04 · Same-market benchmark

Tabbit Competitors & Alternatives Traffic Benchmark

Sep 2026 · Knowledge Management

ProductMonthly visitsDRMoM
TabbitThis product960.8K24-15.5%
Notion AISame market13.5M92+13.4%
CliptoSame market1.7M47-13.7%
CuboxSame market92.2K48-2.4%

Each product uses its latest observed month; different months are not a same-period ranking.

Know the next time Tabbit 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.