Layer Traffic, SEO & Growth Analysis

layer.aiAds ConversionDomain 8 years 10 monthsObserved Oct 20, 2026

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Layer is an AI platform for creative teams that brings leading generative models into one workspace, so you can generate and edit assets, collaborate, and scale production with workflow automation

  • Agent Orchestration
  • 通用 AI Agent
  • Batch Processing
  • Image Editing
  • Team Collaboration
  • +1 more
SIGPIK VERDICT

Layer visits moved +50% in Sep 2026

Reconstruct every step Layer took →
Monthly visits
228.6K
↑ 50% · +76.2K MoM
Market rank
#4 / 75
4.8% of market traffic
Domain Rating
50
Flat vs last month
AI referrals
5.8K
2.5% of traffic
01 · How the growth happened

Layer Traffic Trend & Channel Attribution

Monthly visit estimates · 2026-04 — 2026-09 · DR 50, flat

062.5K125K187.5K250KAprMayJunJulAugSep

Sep 2026

228.6K↑ 50%

Where the new visits came from

Attribution needs two months of channel data; it appears automatically once available.

Monthly breakdown
Monthly visits by channel (estimated)
ChannelJunJulAugSep
Total129.9K145.3K152.4K228.6K
Organic search51.1K59.6K69.4K114.9K
Direct55.5K59.3K51.5K71.9K
Referrals10.7K8.4K8.3K7.4K
Organic social4K4.3K5.1K4.6K
Email1.2K9913.4K3.1K
Display ads69341—713
Paid social1K1.2K1.4K406
Paid search000360
02 · What you can borrow

Layer SEO Keywords, Sitemap Pages & AI Referrals

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

Pages · daily Sitemap diff — 68 pages added in 6 days

Pages listed in the Sitemap grew 4.3% over 6 days, from 1,596 listed URLs to 1,664 listed URLs.

  • /tools+45
  • /docs+12
  • /models/bfl-flux-3-klein+1

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

Search · source keywords — Non-brand terms bring 89% of search traffic

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

Borrow: Most of its search traffic comes from non-brand terms (e.g. “ai texture generator”, “gemini omni 1.1 flash”). Find the needs your product also serves and capture them with tool or landing pages.

AI referrals · ChatGPT, Copilot… — AI assistants bring 2.5% of visits

5.8K visits from AI assistants (previous month 1.7K), 2.5% of all traffic.

  • ChatGPT84%
  • Gemini16%

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

03 · Full growth history

Layer 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 Layer 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 Layer’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. Layer's public Sitemap now lists 68 more URLs

    Observed · Sitemap
  2. Layer's Sitemap added 40 net URLs in Product pages

    Observed · Sitemap
  3. Layer's public Sitemap now lists 152 more URLs

    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

Layer Competitors & Alternatives Traffic Benchmark

Sep 2026 · Advertising and conversion

ProductMonthly visitsDRMoM
LayerThis product228.6K50+50%
Predis AI Ad GeneratorSame market220.9K78-2%
MakeUGCSame market125.7K60-9%
WhitelabelSame market7.5K30+59.6%

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

Know the next time Layer 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.