Fabric Traffic, SEO & Growth Analysis

fabric.soDocuments FilesObserved Oct 20, 2026

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  • Traffic declining · 3 months running
SIGPIK VERDICT · Sep 2026

Fabric visits fell 5.2% in Sep, mostly lost from Direct

In the same window, Fabric’s Sitemap added 210 pages. The timing overlaps — worth a closer look.

Reconstruct every step Fabric took →
Monthly visits
164.6K
↓ 5.2% · −9.1K MoM
Market rank
#12 / 39
0.1% of market traffic
Domain Rating
48
↑ 3 · vs last month
AI referrals
3.1K
1.9% of traffic
01 · How the growth happened

Fabric Traffic Trend & Channel Attribution

Monthly visit estimates · 2026-04 — 2026-09 · DR 48, +3 MoM

0100K200K300K400KAprMayJunJulAugSep

Sep 2026

164.6K↓ 5.2%

Where the new visits came from

Monthly visits split by channel share: Fabric lost 9.1K visits from Aug to Sep, with direct contributing 100%.

Monthly breakdown
Monthly visits by channel (estimated)
ChannelJunJulAugSep
Total196.2K179.4K173.7K164.6K
Direct117.9K112.6K110.5K83.3K
Organic search51.4K39.1K36.6K56.4K
Referrals6.6K12.3K11K9.4K
Organic social11.6K5.1K7.2K4.4K
Paid search132541.1K1.8K
Email2.8K3.9K1.9K510
Display ads5551.1K1.8K169
Paid social81812800
Visit change by channel
ChannelChange barAug → SepChangeShare of changeCurrent share
Direct−27.2K299%50.6% ↓13pp
Organic social−2.9K31%2.7% ↓1.5pp
Display ads−1.6K18%0.1% ↓0.9pp
5 other channels+17.6K-194%41.4% ↑12.3pp
02 · What you can borrow

Fabric SEO Keywords, Sitemap Pages & AI Referrals

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

Pages · daily Sitemap diff — 210 pages added in 1 days

This directory added 210 and removed 0 URLs. Total Sitemap URLs: 7,280 → 7,490. Routes: /comparison.

Borrow: Generate pages of this kind from data you already have to capture long-tail search.

Search · source keywords — Non-brand terms bring 20% 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 assistants bring 1.9% of visits

3.1K visits from AI assistants (previous month 1.3K), 1.9% of all traffic.

  • ChatGPT99%
  • Gemini1.4%

Borrow: Check how assistants recommend Fabric and work on appearing for the same questions.

03 · Full growth history

Fabric 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 Fabric 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 Fabric’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. Fabric's Sitemap added 210 net URLs in comparison

    Observed · Sitemap
  2. Fabric's Sitemap added 42 net URLs in Chinese pages

    Observed · Sitemap
  3. Fabric's Sitemap added 42 net URLs in Portuguese pages

    Observed · Sitemap
  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

Fabric Competitors & Alternatives Traffic Benchmark

Sep 2026 · Documents and Files

ProductMonthly visitsDRMoM
FabricThis product164.6K48-5.2%
GPT WorkspaceSame market300K53+8.1%
HumataSame market84.3K65-19.1%
Glitter AISame market54.9K46-17.2%

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

Know the next time Fabric 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.