Revenue rank on Toolify.
Undress.app
AI-powered platform for image modification, specializing in clothing removal and adult content generation.
Red-line category: covered for market observation only. We do not recommend or support building in this space.
Read the market signal first
Traffic and channel data use SimilarWeb methodology; keyword metrics come from DataForSEO; ranking and revenue signals come from Toolify. Evidence snapshot 2026-07-06.Estimated monthly traffic (directional, not audited revenue).
Primary market category.
Non-brand search share indicates how much task-led discovery may exist.
Channel mix share of visits
Top countries traffic share
Competitor traffic three-month visits
No structured competitor comparison is available.
Task-keyword opportunity table
Score is Shipsite's opportunity score, blending the metrics on the left. Auditable inputs are Volume, KD, CPC, allintitle and KGR.| Keyword | Volume | KD | CPC | KGR | Score |
|---|---|---|---|---|---|
| undress app | 33.1K | 5 | $7.97 | — | 95 |
| ai clothes remover | — | 0 | — | — | 0 |
| deepnude alternative | 590 | — | — | — | 24.9 |
| ai photo undress | — | — | — | — | 0 |
| nudify app | 18.1K | — | $1.88 | — | 38.3 |
KGR is shown once allintitle sampling lands for a keyword; Volume, KD and CPC are already auditable.
Product and pricing captures
Only the product's own public pages are shown here.Screenshots are omitted for sensitive categories.
Business canvases and strategic analysis
Thirteen grounded views aligned with the site-building strategy desk: Business Model Canvas, Value Proposition Canvas, JTBD, ICP, Empathy Map, Customer Journey, SWOT, PESTAL, Porter's Five Forces, 3C, STP, 4P and AIDMA — opened by the insight brief.Undress.app is an NCII generation tool, already illegal or pending legislation in most jurisdictions.
End user and buyer are the same account, purchasing credits in-app.
Core category is NCII generation, the highest legal-risk entry here, tracked only for compliance.
THE VERDICTTraffic/keywords are real, but survival hangs on one processor and tightening law, not product performance.
- Despite KD5 on 'undress app', Search is only 32.9% vs Direct 48%, showing highly habitual bypass-search access.
- High Referral(15.1%) plus flat geography points to off-platform link networks, not one country, as amplifier.
- 'deepnude alternative' alongside near-universal criminalization shows demand hedging against sudden shutdown.
- Even platform-marginalized, Direct+Referral traffic sustains a repeat base — delisting alone doesn't erase demand.
- Single-processor dependency shows the real kill switch for risky categories is payment, not traffic or rank.
Business Model Canvas
- Payment partner is Stripe, a key payment-channel risk sample.
- [N/A] Channel/ecosystem partners withheld.
- [N/A] Professional/strategic/capital partners withheld.
- Sole reliance on Stripe for an NCII-category product is a single point of failure.
- [N/A] Product/technology activities withheld.
- [N/A] Operations/quality activities withheld.
- [N/A] Go-to-market/customer-success activities withheld to avoid a growth playbook.
- Direct+Referral far outweigh Social(2.2%), showing acquisition via link networks, not content marketing.
- Category status forces legal response and processor audits over content moderation work.
- [N/A] Functional mechanism withheld to avoid providing actionable instructions.
- Pricing model is in-app credit purchases; evidence withholds further breakdown.
- [N/A] Emotional/social value withheld, outside risk-tracking scope.
- Most jurisdictions already criminalize or are legislating against NCII tools.
- [N/A] Technology/ecosystem innovation withheld to avoid reusable capability description.
- Self-service in-app credits relationship; no customer-success or sales evidence.
- No support-channel evidence.
- No renewal/retention data available.
- [N/A] Trust/reputation assessment withheld, outside risk-tracking scope.
- [N/A] User-job analysis withheld for this category to avoid facilitating harm.
- Buyer and admin are the same account, purchasing credits via Stripe.
- [N/A] Usage-context profiling withheld to avoid detailing abuse pathways.
- [N/A] Pain/gain analysis withheld for this category, outside risk-tracking scope.
- [N/A] Commercial-value analysis withheld; evidence itself provides no pricing breakdown.
- [N/A] Technology/data resources withheld to avoid reusable information.
- About 1.7M monthly visits, ranked #101 on Toolify's revenue ranking.
- [N/A] People/financial resources withheld.
- Rank #101, 1.7M visits; high referral share implies directory placement, not brand loyalty.
- The real capacity need is legal/takedown-response capacity, not engineering compute.
- Direct 48%, Referral 15.1% vs Social 2.2% suggest off-platform link-network traffic.
- Direct 48.03%, Organic Search 32.9%, Referrals 15.06%, Organic Social 2.21%.
- Payment processor is Stripe.
- [N/A] Generation/delivery mechanism details withheld.
- No post-purchase service-channel evidence.
- [N/A] Product/R&D costs withheld.
- [N/A] Variable delivery costs withheld.
- [N/A] Operations/support costs withheld.
- High legal-risk categories typically carry elevated compliance/legal/payment-channel costs.
- Real scaling cost is processor/legal risk, not compute, concentrating as volume grows.
- Charging unit is in-app credit purchases.
- No upgrade/expansion revenue evidence.
- [N/A] Service/licensing revenue withheld; evidence itself provides none.
- Only in-app credits are evidenced; ads/licensing/subscription are unevidenced here.
Value Proposition Canvas
Product side · Value Map
- [N/A] Concrete feature/service mechanisms withheld to avoid an actionable how-to.
- [N/A] Product-mechanism analysis is withheld; only the billing model is discussed elsewhere.
- [N/A] Pain-relief mechanism withheld to avoid an actionable explanation.
- [N/A] This dimension is withheld entirely, consistent with the functional-mechanism policy.
- [N/A] Gain-creation mechanism withheld to avoid usage advice.
- [N/A] This dimension is withheld entirely, outside risk-tracking scope.
Customer side · Customer Profile
- [N/A] Customer-job breakdown withheld to avoid an actionable description of harmful motive.
- [N/A] Functional/emotional job analysis is withheld entirely, outside risk-tracking scope.
- [N/A] Customer pains withheld to avoid providing a psychological-justification narrative.
- [N/A] Pain analysis sits outside this entry's risk-tracking scope.
- [N/A] Customer gains withheld to avoid supplying a rationale for using this tool.
- [N/A] Gains analysis is withheld entirely, consistent with this category's risk policy.
Jobs To Be Done
- When Individual users generating non-consensual intimate images stall on Non-consensual intimate imagery (NCII), they search 'undress app' or open undress.app.
- Direct is 48.03% of observed visits, so 'undress app' is a repeatable Non-consensual intimate imagery (NCII) situation rather than a one-off search.
- Measured demand for 'undress app' shows Undress.app is needed because the current stack cannot finish Non-consensual intimate imagery (NCII) in one pass.
- A deadline and one-shot delivery pressure force The same individual purchasing credits in-app to choose Undress.app for 'undress app' or an alternative now.
- The functional job is delivering usable Non-consensual intimate imagery (NCII) in-session, not learning another full suite.
- Before paying, buyers still line up 'nudify app' quality, limits, and credits on one comparison sheet.
- Individual users generating non-consensual intimate images want less panic after a failed Non-consensual intimate imagery (NCII) pass, especially when 'undress app' misses the expected result.
- Self-pay users want proof the Stripe bill for 'undress app' will not jump next cycle.
- Individual users generating non-consensual intimate images want to look able to finish Non-consensual intimate imagery (NCII) in front of peers, not still googling 'undress app'.
- Showing peers they can finish 'undress app' without help is the social job.
- Success is a pasteable, shareable, or editable Non-consensual intimate imagery (NCII) result inside the same session.
- It also means holding 'nudify app' time, quality, and credits inside a range The same individual purchasing credits in-app can explain.
Ideal Customer Profile
- The core profile is Individual users generating non-consensual intimate images doing Non-consensual intimate imagery (NCII), in the Non-consensual intimate imagery (NCII) generation tool category.
- The same individual purchasing credits in-app pay for 'undress app', and administration may sit with Self-managed by the individual account.
- The buying trigger often shows up as a search for 'undress app', already present in the audited keyword table.
- United States is 13.71% of visits, so local work seasons can turn 'undress app' from latent need into a same-week must-solve.
- The primary pain is that Non-consensual intimate imagery (NCII) is slow and error-prone, which is why 'nudify app' exists as a task query.
- Quota exhaustion and whether paying is worth it make The same individual purchasing credits in-app hesitate after the first 'undress app' result.
- Budget signal for 'undress app': credits; observed rail is Stripe.
- Self-serve subscription is the main path for 'undress app'; 1.7M traffic shows people already pay or keep trying.
- Decision criteria include 'undress app' sample quality, limits, and whether Stripe checkout is frictionless.
- The shortlist comes mainly from same-job 'undress app' search results, and trust hinges on whether official pricing is self-serve readable.
- The repeatable reach path for 'undress app' buyers is Direct (48.03%), not a one-off campaign.
- The task query 'undress app' plus undress.app is the second touch, better for content pages than brand ads alone.
- Large custom-implementation deals that are not buying 'undress app' are outside Undress.app's primary ICP.
- Traffic-adjacent domains that are not the same 'undress app' job cannot be auto-included or excluded from the ICP.
Customer Empathy Map
Primary personaPersona withheld per policy; tracked only as a payment/platform-risk sample.
- They keep seeing 'undress app' result pages, undress.app, and same-job generation UIs.
- The old workflow, docs, and peer screens stay in view as 'undress app' substitutes.
- Peers talk in queries like 'undress app' and 'nudify app', not official handbook language.
- Users in United States also hear whether 'undress app' is worth the Stripe quota, not brand slogans.
- [N/A] User-expression/psychological profiling withheld per category risk policy.
- [N/A] Keyword evidence is used only for channel analysis, not rendered as user dialogue.
- [N/A] Usage-workflow description withheld to avoid forming actionable guidance.
- [N/A] Trial/comparison behavior observation withheld per policy.
- [N/A] Inner-motivation inference withheld to avoid depicting a perpetrator mindset.
- [N/A] Psychological-layer analysis for this category sits outside risk-tracking scope.
- [N/A] Emotional-state inference withheld to avoid a psychological-justification narrative.
- [N/A] Emotional profiling sits outside this entry's risk-tracking scope.
- They fear having to redo a failed Non-consensual intimate imagery (NCII) pass; searching 'undress app' is already a frustration signal.
- A sudden end to the free quota on 'undress app' makes lock-in to Undress.app feel hard to admit.
- The ideal gain is finishing Non-consensual intimate imagery (NCII) in-session and handing over an output that satisfies 'nudify app'.
- If Direct can find Undress.app again for 'undress app' (48.03%), a successful reuse becomes habit instead of another bake-off.
Customer Journey Map
SWOT Matrix
- 'undress app' (33,100 vol, KD5) gives near-zero-cost organic acquisition.
- Traffic split US/India/Brazil, none above 14%, lowers single-jurisdiction concentration.
- Direct traffic at 48.0% shows a repeat base not dependent on ongoing visibility.
- The category is criminalized or facing legislation in most jurisdictions, a fundamental compliance weakness.
- Reliance on a single processor (Stripe); NCII-category products commonly face processor action.
- In-app pricing lacks public breakdown, making external verification difficult.
- [N/A] Keyword-demand growth opportunities withheld.
- [N/A] Geographic-expansion opportunities withheld.
- [N/A] Category/feature-expansion opportunities withheld.
- Ongoing criminalization/legislation across jurisdictions directly threatens continued operation.
- Payment-processor policy commonly prohibits NCII content, risking account termination.
- This category commonly faces search-engine or platform deindexing/ban risk.
PESTAL Macro Environment
- NCII statutes already enacted or pending place this product under direct legal threat.
- Any jurisdiction finalizing NCII law becomes instant grounds for takedown or prosecution.
- Revenue runs solely through Stripe credits; any fee or policy shift hits 100% of revenue.
- US/India/Brazil spread with no localized pricing exposes revenue to lax-scrutiny markets.
- Near-universal criminalization of the category sustains ongoing public/advocacy pressure.
- The 'deepnude alternative' query shows users treat it as disposable, not a loyal brand.
- Advancing synthetic-image detection tech raises odds of automated platform takedowns.
- A Stripe-only payment stack with no backup is itself a single point of technical failure.
- Undress.app's Non-consensual intimate imagery (NCII) runs on cloud generation; 1.7M monthly visits push GPU and transcode energy onto each 'undress app' request.
- If 'undress app' media assets stay on undress.app, bandwidth and storage accumulate with return visits from United States (13.71%).
- Undress.app outputs generated media around 'undress app'; training-data and output copyright stay a standing issue in United States.
- Checkout runs on Stripe; platform rules plus likeness or music rights can limit how far 'undress app' may be published.
Porter's Five Forces
Technical barriers are low; entry is gated by legal risk tolerance, not capability.
Stripe, the only named payment supplier, can zero out monetization with one decision.
The 'deepnude alternative' query shows buyers treat category tools as interchangeable.
'nudify app'(18.1k) and 'deepnude alternative' both show readily available substitutes.
No named rival, but comparison-seeking queries show a fragmented field of similar tools.
3C Analysis
- Capable of capturing high search volume via an extremely low-difficulty branded term.
- Revenue runs on in-app credits via one processor, with no evidenced margin transparency.
- Traffic matches adjacent-ranked peers, yet alone bears category-wide legal liability.
- [N/A] User-job analysis withheld for this category to avoid facilitating harm.
- [N/A] Pain/gain analysis withheld for this category, outside risk-tracking scope.
- [N/A] Commercial-value analysis withheld; evidence itself provides no pricing breakdown.
- [N/A] Same-job competitor names withheld to avoid surfacing alternatives.
- Search demand includes "deepnude alternative," indicating substitute-seeking behavior.
- Traffic-adjacent/unknown competitor assessment withheld.
STP Marketing Strategy
- Segment first by job: Individual users generating non-consensual intimate images doing Non-consensual intimate imagery (NCII), versus evaluators who only search 'undress app' to compare.
- Then cut by who pays for 'undress app' and geography: The same individual purchasing credits in-app versus free riders, and United States (13.71%) versus the rest.
- Target the layer that can be reached again via Direct and will pay for 'undress app', not every visitor.
- Win the single-player 'undress app' job first, then consider team features; see ICP exclusions.
- Core category is NCII generation, the highest legal-risk entry here, tracked only for compliance.; in the customer's mind it should mean 'undress app', not generic AI.
- The reason to believe 'undress app' is revenue rank #101 and about 1.7M monthly visits, framed against manual work or other Non-consensual intimate imagery (NCII) generation tool tools.
4P Marketing Mix
- Monetization is purely in-app credits; no subscription tiers are evidenced.
- Homepage and pricing share one URL, with no separate public pricing documentation.
- Credit pricing ties revenue directly to generation volume, unlike subscription peers.
- No published tier/credit breakdown limits external verification of unit economics.
- Distribution leans on Direct(48%) and high Referral(15.1%), not mainstream Social(2.2%)
- Geographic reach spans US/India/Brazil without anchoring to one regulatory jurisdiction.
- "undress app" has ~33,100 monthly searches; "nudify app" ~18,100.
- [N/A] Promotion-strategy guidance withheld for this category.
AIDMA Decision Journey
- Attention arrives through Direct (48.03%) and high-relevance entries like 'undress app', not broad brand noise.
- Organic Search at 32.9% is the second attention surface for 'undress app'; undress.app must make that job obvious to Individual users generating non-consensual intimate images.
- Interest comes from translating 'undress app' into a readable Non-consensual intimate imagery (NCII) demo, not a feature dump.
- 'nudify app' shows they also want limits, price, or usage detail — the next page has to answer those.
- Desire holds when Undress.app finishes 'undress app' clearly faster than doing it by hand in one try.
- Published pricing lowers the cost of wanting 'undress app', otherwise desire dies in the bookmark bar.
- Heavy direct traffic means the brand can be recalled together with 'undress app', or they will search again next time.
- Revenue rank #101 and 1.7M visits become a memory hook only if people also recall 'undress app', not just the brand.
- Action is the first result on undress.app plus Stripe checkout; an extra signup step drops 'undress app' traffic.
- Keep price, limits, and the buy button for 'undress app' on one screen to turn interest into payment.
EVIDENCE BOUNDARIESNo evidence on whether Stripe has already taken policy action against this account.; No evidence of search-engine or app-store deindexing action taken.; No jurisdiction-by-jurisdiction legal-status evidence.; No evidence of the operating entity or corporate registration behind the domain.
Evidence boundaries
Ranking and revenue signals come from Toolify; traffic, channels and country distribution use SimilarWeb methodology; keyword Volume, KD and CPC come from DataForSEO. This is a research snapshot, not investment advice.
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