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Outfit Traffic, SEO & Growth Analysis
Studio-quality product photos and videos in seconds. No photographer, no studio, no waiting around. Just a phone shot of your product.
- Traffic declining · 2 months running
- Background Generation
- `pose to Image`
- Product Photography
- `product to Video`
- Product Video
- +1 more
SIGPIK VERDICT · Sep 2026
Outfit visits fell 11% in Sep, mostly lost from Direct
Reconstruct every step Outfit took →- Monthly visits
- 2.2K
- ↓ 11.5% · −288 MoM
- Market rank
- #25 / 39
- 0.3% of market traffic
- Domain Rating
- 31
- Flat vs last month
- AI referrals
- 0
- 0% of traffic, early
01 · How the growth happened
Outfit Traffic Trend & Channel Attribution
Monthly visit estimates · 2026-04 — 2026-09 · DR 31, flat
Sep 2026
2.2K↓ 11%
Where the new visits came from
Monthly visits split by channel share: Outfit lost 288 visits from Aug to Sep, with direct contributing 37%.
Monthly breakdown
| Channel | Jun | Jul | Aug | Sep |
|---|---|---|---|---|
| Total | 3.5K | 3.9K | 2.5K | 2.2K |
| Direct | 0 | 0 | 977 | 870 |
| Organic search | 0 | 0 | 780 | 674 |
| Referrals | 0 | 0 | 269 | 230 |
| Organic social | 0 | 0 | 144 | 120 |
| Display ads | 0 | 0 | 74 | 88 |
| 0 | 0 | 93 | 82 | |
| Paid search | 0 | 0 | 36 | 35 |
| Paid social | 0 | 0 | 17 | 17 |
| Channel | Change barAug → Sep | Change | Share of change | Current share |
|---|---|---|---|---|
| Direct | −107 | 37% | 39.2% ↑0.2pp | |
| Organic search | −106 | 37% | 30.4% ↓0.7pp | |
| Referrals | −39 | 13% | 10.4% ↓0.3pp | |
| 5 other channels | −21 | 7.3% | 15.4% ↑0.9pp |
02 · What you can borrow
Outfit SEO Keywords, Sitemap Pages & AI Referrals
Outfit’s acquisition moves across pages, search terms and AI referrals, each with its data source.
Search · source keywords — Non-brand terms bring 56% of search traffic
Non-brand terms are traffic anyone can compete for; higher CPC means higher commercial value.
| Keyword | Traffic | CPC | Rank |
|---|---|---|---|
| maneken similar websites mockupsNon-brand | 150 | — | 1 |
| outfit fmBrand | 60 | — | 2 |
| outfitmaker affiliateBrand | 60 | — | 3 |
| how important is a website for a clothing brandNon-brand | 0 | — | 4 |
| how to turn ai clothes into real productsNon-brand | 0 | — | 5 |
Borrow: Most of its search traffic comes from non-brand terms (e.g. “maneken similar websites mockups”). Find the needs your product also serves and capture them with tool or landing pages.
AI referrals · ChatGPT, Copilot… — AI referrals are early — not a growth source yet
0 visits from AI assistants (previous month 0), 0% of all traffic.
Borrow: No need to follow yet; watch whether it scales next month.
03 · Full growth history
Outfit 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 Outfit 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
Monthly visits 3.9K → 2.5K
Observed · traffic dataMonthly visits 1.1K → 3.5K
Observed · traffic dataMonthly visits 221 → 1.1K
Observed · traffic dataWhere it launched and who discussed it
Product Hunt, Reddit, X, directoriesWhich channels produced new backlinks
Ordered by first seenA launch sequence you can follow
Exportable action list
04 · Same-market benchmark
Outfit Competitors & Alternatives Traffic Benchmark
Sep 2026 · Product Content
| Product | Monthly visits | DR | MoM |
|---|---|---|---|
| OutfitThis product | 2.2K | 31 | -11.5% |
| Bandy AISame market | 195.7K | 40 | -12.9% |
| FASHN AISame market | 153.8K | 59 | -9.6% |
| SmartliSame market | 17.7K | 51 | -12.7% |
Each product uses its latest observed month; different months are not a same-period ranking.
Know the next time Outfit 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.