Market Tracker · November 2026

The AI companion market, measured every month.

Fresh numbers from our own paid tests, search data and AI answers. Free to use — a source link is all we ask.

Data as of Nov 8, 2026 · Next edition early December 2026

10of 11

apps that advertise long-term memory forget you in a new chat.

17% → 57%

Google AI Overviews on AI companion searches, same keywords.

3 in 4

Perplexity answers lean on affiliate “best of” lists.

What our tests measure

Paid accounts, the same protocol everywhere, re-run every month.

The memory cliff

We plant six facts and ask for them later. Inside one chat they stick. Open a new one and they are gone.

↓ new chat
6/6
Same chat
6/6
After a long chat
6/6
Next day, same chat
0/6
New chat
Promise vs. test
10of 11

advertise long-term memory — and forget you in a new chat.

Images & video
53%

of generated pictures and clips deliver what was asked.

53% as asked30% partly17% missed
Real prices

what one item costs in credits, converted to dollars.

$2.25
one video
$0.14
one image
$0.05
one message
Where the credits go
44%

of all credits go to video — the biggest cost.

  • Video 44%
  • Images 18%
  • Chat 27%
  • Calls 2%
  • Character creation 3%
  • Other 7%
Limits
14/14

go fully explicit once asked.

Speed
3.5 s

median wait for the first words. The slowest took 12.2 s.

Privacy
0/14

rule out training AI on your chats. 6 say they do it.

Kinks
58%

of kink requests: the character played along.

The market, month by month

Search, AI answers, community and ratings — every line updates monthly.

What people search for

US search interest by intent, twelve months, first month = 100, 3-month average.

Oct 25Mar 26Sep 26
  • AI girlfriend & companion−9%
  • Sex chat−37%
  • Nude & porn generators−28%
  • Roleplay+18%
AI Overviews take over

Share of tracked Google searches that show an AI Overview.

14%
May 26
34%
Jul 26
28%
Aug 26
55%
Nov 26

Same 46 keywords: 17% in May 2026, 57% in November 2026.

What the community says

Public posts per month, classified one by one.

Nov 25Apr 26Oct 26
  • negative (of clear verdicts)60%
  • shill or off-topic39%
Ratings depend on where you look

Average rating of the same tools by source.

AI directories
4.2
Google Play
3.9
App Store
3.8
Trustpilot
3.0
1 ★2 ★3 ★4 ★5 ★
Entry price
$14.99

median cheapest monthly plan, 19 tools

Moves
15

confirmed price, feature and promo changes in 30 days

7 feature4 price3 promo1 news
Community size
1.1M

members across 6 big companion Discord servers

45%
show an AI Overview
50%
name the same app

How AI search answers

Share of answers that rely on affiliate “best of” lists placed on third-party sites.

Gemini
0%
ChatGPT
1%
Perplexity
75%

The bigger picture

From our annual report, data as of August 14, 2026: prices since 2023, discounts, the uncounted web market, communities.

Prices since 2023
+200%

entry price — 4 of 5 tools with archive history got pricier, mostly by deleting their cheapest tier.

Discounts
63%

of tools advertise a discounted tier — on average −46%, up to −78%.

−1–24%−25–49%−50–74%−≥ 75%
Price
$18.07

median monthly price — from $3.23 to $39.99; only 2 of 30 have a real free tier.

< $10$10–15$15–20$20–25$25+
The uncounted market
226.3M

web visits a month across 16 web-only domains — a market no app-store statistic sees.

5 of 30 tools are in an app store
What you get

Share of tools that offer each feature.

NSFW content
90%
Chat
83%
Customization
80%
Roleplay
80%
Image generation
80%
Video generation
57%
Voice chat
47%
Communities
730.4K

Reddit

154.1K

Discord

members in the 12 subreddits and 4 Discord servers we count.

What our readers click

Share of clicks by category, English vs. German-speaking readers.

English
31%
27%
33%
German-speaking
42%
23%
25%
  • Companions
  • Chatbots
  • Roleplay
  • Image generators
For platform operators

Want these numbers per platform?

Cyberliebe Intelligence benchmarks each platform against its competitors — tested weekly.

  • Benchmarks per platform
  • Competitor changes as they happen
  • Your share of AI answers
  • Search demand by brand
Explore Intelligence

Looking for an app? Our hands-on tests name names.

See the tests
Method, sources & data+
  • Hands-on tests: 14 platforms, 232 runs between Oct 26, 2026 and Nov 8, 2026, paid accounts, published protocols (memory, limits, models, funnel). One run per protocol and platform; the next model update can change results. A new chat counts as remembered from 3 of 6 facts.
  • Promise vs. test: memory claim from the providers’ own descriptions in our directory; forgotten = fewer than 3 of 6 facts in a new chat.
  • Images & video: every item we generated, rated against the request (delivered / partly / missed).
  • Real prices: credits per item from our recorded test evenings × dollar value of a credit in the cheapest plan with credits; median across platforms with US-dollar plans.
  • Search interest: US Google Ads volumes, constant panel of keywords present in all twelve months, brand terms removed, clusters by the published rule set (lib/reports/intent-clusters.ts); index = first month 100.
  • AI Overviews: our SERP watch; keyword sets differ by month, so the stated comparison uses only keywords measured in both months.
  • AI answers: 94 fixed questions (US and Germany), one answer per question and model, collected Nov 8, 2026. Models: gemini-3.5-flash-lite, gpt-4.1-mini, sonar. Brand shares count answers to questions without a brand name. Answers vary between runs; a monthly change counts once it repeats.
  • Affiliate lists: “best of” pages with affiliate links placed on third-party hosts (scribehow.com, waterrights.utah.gov, chemistry.mit.edu). They are counted but not ranked as sources.
  • Community: public posts on Reddit and review sites published Oct 9, 2026 to Nov 8, 2026, each classified as positive, negative, neutral, mixed, shill or off-topic.
  • Ratings: latest snapshot per tool and month, tools with at least 10 ratings, sources with at least 3 tools. AI directories = There’s An AI For That (TAAFT).
  • Community size: monthly mean of Discord member counts, only servers measured in every month.
  • Changes: detected by our tool watch on the providers’ own pages and confirmed before publishing.
  • Our own products are excluded from every panel.
  • We earn commissions from some platforms in the panel. That never changes a measurement, and we publish no revenue figures.

Cyberliebe Research (2026). AI Companion Market Tracker, edition 2026-11. https://cyberliebe.com/research/2026-11

Earlier editions

This is the first edition.

Annual report: State of AI Companions 2026 — price history since 2023, search trends, research literature. Read the report →

Press & publishers: every number is free to use with a source link. Questions welcome. Contact →

Annual report 2026 — all chapters, charts, tables & sourcesState of AI Companions 2026, August edition: ten chapters with every chart (CSV, table, embed), the research papers with DOIs, method and citation.+
Annual report · August 2026 edition

Data as of: August 14, 2026 · Version 2026-08.4 · Free to cite · CC BY 4.0 · CSV downloads included · DOI 10.5281/zenodo.23106282

Key facts

01

Demand is falling — and only one category grows

The top of this funnel is narrowing: brand-free search demand fell −12% between Aug 2025 and Apr 2026. Sex chat lost 33%, image generation 23%, even companion searches 10% — only roleplay gained +43%.

Search demand by user intent

Brand-free search terms, index Aug 2025 = 100, US

Companion / relationshipSex chat / sextingNudes / porn generationRoleplay

Index, Aug 2025 = 100 · Google Ads volumes are bucketed

10014070AugSepOctNovDecJanFebMarAprAugCompanion / r…100Sex chat / se…100Nudes / porn …100Roleplay100SepCompanion / r…91Sex chat / se…95Nudes / porn …87Roleplay116OctCompanion / r…90Sex chat / se…96Nudes / porn …102Roleplay116NovCompanion / r…89Sex chat / se…96Nudes / porn …90Roleplay125DecCompanion / r…94Sex chat / se…95Nudes / porn …92Roleplay127JanCompanion / r…109Sex chat / se…81Nudes / porn …109Roleplay142FebCompanion / r…106Sex chat / se…70Nudes / porn …77Roleplay129MarCompanion / r…106Sex chat / se…71Nudes / porn …80Roleplay146AprCompanion / r…90Sex chat / se…67Nudes / porn …77Roleplay143

Google Ads volumes for brand-free terms with unbroken monthly history, US. Brands — ours and other platforms — are excluded: this measures intent, not market share. Assignment follows a published rule set, first matching rule wins; terms per cluster: Companion / relationship 55 · Sex chat / sexting 13 · Nudes / porn generation 17 · Roleplay 22. Terms matching no rule count towards no base. Rules and raw volumes are in the CSV.

↓ CSV
Table
IntentTermsAugSepOctNovDecJanFebMarAprChange
Companion / relationship551009190899410910610690−10%
Sex chat / sexting131009596969581707167−33%
Nudes / porn generation17100871029092109778077−23%
Roleplay22100116116125127142129146143+43%

What people search for vs. what conversations contain

Two independent studies, each on its own 100% base — the categories are not mapped onto each other. Li & Zhang classify 96.1% of their corpus; the remainder is uncategorised.

What people search for
US search volume, Apr 2026
Companion / relationship
45.8%
Sex chat / sexting
21.2%
Roleplay
18.3%
Nudes / porn generation
14.7%
What conversations contain
Shared screenshots, 2017–2023
Intimate behaviour
36.0%
Everyday small talk
20.5%
Self-disclosure
18.3%
Play & fantasy
12.5%
Transgression
5.5%
Customisation
2.4%
Communication breakdown
0.9%

Left: our brand-free intent clusters, US, Apr 2026, n = 899,650 monthly searches. Right: Li & Zhang (2024), content analysis of chat screenshots shared on r/replika, 2017–2023. doi.org/10.1093/jcmc/zmae015

↓ CSV
Table
MethodCategoryShare
What people search forCompanion / relationship45.8%
What people search forSex chat / sexting21.2%
What people search forRoleplay18.3%
What people search forNudes / porn generation14.7%
What conversations containIntimate behaviour36.0%
What conversations containEveryday small talk20.5%
What conversations containSelf-disclosure18.3%
What conversations containPlay & fantasy12.5%
What conversations containTransgression5.5%
What conversations containCustomisation2.4%
What conversations containCommunication breakdown0.9%
Context & sources+

Brand searches show market share. Brand-free searches show needs. Across 107 brand-free terms with unbroken monthly history, measured volume falls from 1,027,470 to 899,650 searches a month — −12%. Exactly one category grows against that trend.

Two methods, different years, different populations — and neither one puts sex at the top. Search is led by Companion / relationship at 45.8%; shared conversations by Intimate behaviour at 36.0%. The more telling part is where the two diverge: explicitly sexual queries are 35.9% of search volume, while clearly transgressive content is only 5.5% of shared screenshots. People search more explicitly than they show.

The two panels measure different acts on different populations; their categories do not mean the same thing and are deliberately not mapped category by category. What holds is which block leads on each side — not the gap between a number on the left and a number on the right. Screenshots are also shared selectively, which likely overstates the remarkable and understates the routine.

Meanwhile Google inserts itself: 26% of the niche SERPs we monitor now show an AI Overview — the search result answers before any site gets the click.

Our numbers say what people search for. The largest content analysis of such conversations says what actually happens inside them — a different question about the same niche, answered by a different method.

Across 35,579 shared chat screenshots, intimate exchanges dominate at 36%, followed by everyday small talk (20.5%) and self-disclosure (18.3%). But the strongest predictor of joy in those conversations is none of them — it is customisation.

Share of publicly shared screenshots, not of actual usage.

Li & Zhang (2024), Journal of Computer-Mediated Communication · 35,579 shared chat screenshots from r/replika, 2017–2023 · DOI

02

Entry prices rose by up to +200% — mostly by deleting the cheapest tier, not by raising prices

Entry prices rose not through price hikes but by deleting the cheap tiers: at gptgirlfriend.online the cheapest plan cost $5 in 2023 and $15 in 2025 — +200%. Nothing was raised. The cheapest tier simply disappeared.

Price change since first archived snapshot

Cheapest paid tier, earliest vs. latest archived price per tool

gptgirlfriend.online (2023→2025)
+200%
dreamgf.ai (2023→2026)
+160%
seduced.com (2023→2024)
+150%
kupid.ai (2024→2025)
+44%
crushon.ai (2023→2025)
±0%

Wayback Machine snapshots (archive.org), harvested August 14, 2026. Every price links to its archived source.

↓ CSV
Table
ToolSnapshotPriceEvidence
gptgirlfriend.onlineNovember 23, 2023$5Snapshot
November 5, 2025$15Snapshot
dreamgf.aiSeptember 12, 2023$9.99Snapshot
March 7, 2026$25.99Snapshot
seduced.comAugust 28, 2023$10Snapshot
April 4, 2024$25Snapshot
kupid.aiApril 17, 2024$25Snapshot
April 10, 2025$36Snapshot
crushon.aiOctober 23, 2023$5.90Snapshot
March 10, 2025$5.90Snapshot
Context & sources+

Nobody tracked the prices of this niche over time — but the Internet Archive did. From archived pricing pages we reconstructed histories back to 2023, every data point backed by a linkable snapshot. 5 tools yield a defensible history, 4 of them pointing up. Not every tool is coverable: single-page apps leave no prices in the archive, and more vendors flip to client rendering every year — this window is closing.

The windows differ per tool: they start at the first and end at the LAST archived price — not at today. Years are printed on each bar, and every price in the table links its snapshot.

03

The list price is fiction: 63% advertise a discounted tier

Discounts here are not a sale, they are price architecture: the high list price exists so that “up to −78% on the annual plan” looks like a gift.

Tools by their deepest discount

Biggest advertised discount per tool, 19 discounting tools

−1–24%
2
−25–49%
3
−50–74%
9
−≥ 75%
5

Vendor pricing pages. Data as of August 14, 2026.

↓ CSV
Context & sources+

19 of 30 tools advertise a discounted tier — 56 discounted plans in total, averaging −46% off, peaking at −78%. 14 tools discount by half or more.

Discount architecture is one side of how this niche monetises. For the adjacent market of AI NSFW commission work, the other side has been measured properly: who actually earns the revenue there.

In the freelance market for AI NSFW work, the top 10% of sellers take 60.7% of revenue while the median seller earns $60 (Gini 0.83). Three quarters of these sellers joined within a single year.

Dawoud, Cuevas & Sundara Raman (2026), USEC @ NDSS 2026 · 593 confirmed NSFW gigs, control groups n = 1,028 · DOI

04

What does an AI companion cost? Median: $18.07 a month

54% of priced tools sit between $10 and $20 a month — squarely in the streaming corridor. Adult AI prices itself like a mainstream subscription, not like a premium niche.

Monthly entry price, 28 tools

Cheapest regularly billed monthly tier per tool, list price in USD

Vendor list prices, hand-verified. Data as of August 14, 2026.

↓ CSV
Table
ToolMonthly priceFree tierMax. discountNote
Pornworks$3.23 *—−50%
Nastia AI$6.69—−48%
Secret Desires AI$7.99—−17%
Porn AI$9.95——
Nomi AI$9.99—−50%
Playbox AI$9.99—−50%
Darlink AI$12.99—−34%
Kupid AI$12.99——
Candy AI$13.99—−71%
Kindroid$13.99—−17%
Soulkyn$14——
CrushOn AI$14.99yes—
Promptchan$14.99——
AI Mistress$16.19 *—−44%
Herahaven AI$19.95——
Joyland AI$19.99—−60%
Lovescape AI$19.99—−60%
Nectar AI$19.99—−75%
Replika$19.99——
Romantic AI$19.99yes—
Spicy Chat AI$19.99——
Dream Companion$20—−71%
Shemale AI$20—−75%
PornX AI$24.99—−60%
Seduced.com$30——
GPTGirlfriend$39.99——
OurDream AI$39.99—−75%
Secrets AI$39.99—−77%
DeepMode——−50%credit-based
DreamGF AI——−78%annual billing only
Context & sources+

Across 28 tools with monthly billing, the median entry price is $18.07 (average $18.46, range $3.23–$39.99). Only 2 of 30 tools still offer a real free tier — the free-to-play era is over.

* converted from EUR at 1.08

05

What is table stakes in 2026 — and what is not

Image is standard, video is the frontier: more than half the panel already generates video. Mobile apps stay the exception — app stores do not admit adult content.

Feature adoption across the panel

Confirmed capabilities per tool, share of all 30 panel tools (lower bound)

NSFW content
27 of 30 assessed
90%
Chat
25 of 30 assessed
83%
Customization
24 of 30 assessed
80%
Roleplay
24 of 30 assessed
80%
Image generation
27 of 30 assessed
80%
Video generation
21 of 30 assessed
57%
Voice chat
16 of 30 assessed
47%
Mobile app
6 of 30 assessed
20%
Video chat
4 of 30 assessed
7%

Cyberliebe feature matrix (12 features × 30 tools). Data as of August 14, 2026.

↓ CSV
Table
Capability#%
NSFW content27/3090%
Chat25/3083%
Customization24/3080%
Roleplay24/3080%
Image generation24/3080%
Video generation17/3057%
Voice chat14/3047%
Mobile app6/3020%
Video chat2/307%
Depth levels: memory, emotional intelligence, languages
CapabilityLevelTools
Memory SystemAdvanced11
Memory SystemLong-term6
Memory SystemBasic5
Emotional IntelligenceAdvanced11
Emotional IntelligenceExpert5
Emotional IntelligenceBasic2
Language SupportMulti-language7
Language SupportAutomatic Translation2
Language SupportEnglish Only1
Context & sources+

NSFW content, chat and customization are effectively universal. Video generation has crossed the halfway mark. The rarest capability remains the one users would expect first: a mobile app.

Memory and emotional intelligence look like marketing labels on a feature matrix. A pre-registered experiment gives an indication of why they are the product — with a caveat printed under the finding — and a twelve-month panel shows what happens to people who keep using them.

In double-blind trials, AI built more closeness than human partners in emotionally engaging conversation — driven by the AI disclosing more about itself, by far the study's largest effect. Labelling the partner as AI reduced that closeness but did not remove it.

A post-hoc comparison inside an interaction; both main effects were null.

Kleinert, Waldschütz, Blau, Heinrichs & Schiller (2026), Communications Psychology · 2 double-blind, pre-registered RCTs, n = 492 · DOI

Over twelve months, increased chatbot use predicted rising loneliness — and lower social connection predicted later increases in use. The relationship runs both ways.

The authors call the design exploratory.

Folk & Dunn (2026), Psychological Science · Twelve-month longitudinal study, > 2,000 adults, 4 countries · DOI

06

The market no statistic sees

Across 16 tracked adult domains, roughly 226 million visits a month add up — an order of magnitude that appears in no app-store statistic, because the stores do not carry these providers.

App-store presence of the panel

Only 5 of 30 tools exist in an app store at all

Replika · Play
★ 4.26
524.6K
Replika · iOS
★ 4.45
227.7K
Nomi AI · Play
★ 3.84
5.3K
Romantic AI · Play
★ 3.83
3.7K
Romantic AI · iOS
★ 4.3
1.9K
Promptchan · iOS
★ 4.17
823
Joyland AI · iOS
★ 2.75
108

Review counts from Apple App Store and Google Play, latest measurement each.

↓ CSV
Table
ToolStoreReviewsRating
ReplikaGoogle Play524,6314.26
ReplikaApp Store227,7214.45
Nomi AIGoogle Play5,3453.84
Romantic AIGoogle Play3,7283.83
Romantic AIApp Store1,9254.3
PromptchanApp Store8234.17
Joyland AIApp Store1082.75

Monthly visits per domain

Traffic estimates, Jul 2026 · 16 domains, sources per row

spicychat.ai
73.9M
candy.ai
63.1M
ourdream.ai
52.7M
crushon.ai
22.4M
joyland.ai
3.3M
kindroid.ai
2.8M
nomi.ai
1.7M
kupid.ai
1.5M
promptchan.com
1.5M
trynectar.ai
1.1M
muah.ai
840.9K
replika.com
508.7K
secretdesires.ai
349.4K
dreamgf.ai
335.7K

Third-party traffic estimates (Similarweb public pages, cross-checked against Semrush), collected August 14, 2026. Estimates, not measurements — the order of magnitude holds, the decimal does not. Source linked per domain.

↓ CSV
Table
DomainVisits/monthGlobal rankTrendSource
spicychat.ai73,900,000#387-0.28% MoM; stablesimilarweb-public
candy.ai63,100,000#744+20.64% MoM; Global Rank 868 -> 744 over 3 monthssimilarweb-public
ourdream.ai52,700,000#545+12.15% MoM; growingsimilarweb-public
crushon.ai22,400,000#1,512+15% MoM; Global Rank 1671 -> 1512 over 3 monthssimilarweb-public
joyland.ai3,250,000#11,607+17.41% MoM per SimilarWeb; Global Rank 14077 -> 11607 over 3 months; longer-term decline (Peak ~5.4M mid-2025, 3.49M Dec 2025, 1.26M Apr 2026)semrush
kindroid.ai2,800,000#18,616+17.42% MoM; growingsimilarweb-public
nomi.ai1,700,000#19,977+55.19% MoM; Global Rank 32948 -> 19977 over 3 monthssimilarweb-public
kupid.ai1,500,000#32,024+5.63% MoMsimilarweb-public
promptchan.com1,500,000#24,142-10.5% MoMsimilarweb-public
trynectar.ai1,100,000#56,453+147% MoM; growing fastsimilarweb-public
muah.ai840,900#40,377-3.99% MoMsimilarweb-public
replika.com508,700#104,017-28.46% MoM; fallingsimilarweb-public
secretdesires.ai349,400#98,241+20.32% MoM; Global Rank 112950 -> 98241 over 3 monthssimilarweb-public
dreamgf.ai335,700#95,160-5.82% MoMsimilarweb-public
nectar.ai285,000#99,008-0.63% MoMsimilarweb-public
pornx.ai9,400#2,726,827-46.92% MoM; Global Rank 1538407 -> 2726827 (collapsing)similarweb-public
Context & sources+

Every cited market number for AI companions comes from app stores. Adult content is banned there — so almost everything that defines this market is missing: only 5 of 30 panel tools exist in any store at all. What the scene moves on the open web we estimated across 16 domains.

Only 5 of 30 panel tools exist in any app store — and a single one, Replika, holds 98% of all their reviews. Measuring this market through app-store numbers measures one company, not a market.

Traffic counts visits, not people. The only representative survey of a German-speaking market puts a population number behind those visits.

In Germany, 31.6% of adults used at least one AI-supported sexual activity within twelve months — among people who use AI at all, it is 66%. Age dominates every other factor: 54.7% of 18-to-39-year-olds versus 15.0% of the over-60s.

Quota sample, not fully representative; self-selection may overstate adoption among older respondents.

Döring, Mikhailova & Mohseni (2026), Archives of Sexual Behavior · n = 2,658, quota sample (Germany, ages 18–75), twelve-month period · DOI

Döring, Mikhailova & Mohseni (2026)

n = 2,658, quota sample (Germany, ages 18–75), twelve-month period · % of adults, twelve months

Any AI-supported sexual activity
31.6
Sexual information
20.3
Consuming AI porn
20.2
Sex counselling
19.0
AI-mediated human contact
15.4
Interaction with AI agents
14.1
Creating AI porn
11.3

Prevalence of AI-Supported Sexual Activities Among Adults in Germany. Archives of Sexual Behavior. doi.org/10.1007/s10508-025-03382-1

07

Where the scene lives — and who to believe there

Size and participation come apart: on chubai, 19.3% of members are online right now; on nomiai only 7.8% — a 2.5-fold difference.

Subreddit sizes

Members per subreddit, August 13, 2026

r/ChaiApp
136.3K
r/SillyTavernAI
124.2K
r/AIGirlfriend
91.1K
r/replika
84.8K
r/MyBoyfriendIsAI
64K
r/SpicyChatAI
62K
r/KindroidAI
50.4K
r/PygmalionAI
49.1K
r/NomiAI
33.9K
r/AIcompanions
17.5K

Own daily panel (Reddit about API, Discord invite API). Reddit removed public subscriber counts from its UI in Sept 2025 — this series is collected independently. Member counts are subscriptions, not people: anyone in several communities is counted several times.

↓ CSV
Table
CommunityMembers
r/ChaiApp136,289
r/SillyTavernAI124,163
r/AIGirlfriend91,116
r/replika84,849
r/MyBoyfriendIsAI64,014
r/SpicyChatAI61,983
r/KindroidAI50,408
r/PygmalionAI49,086
r/NomiAI33,945
r/AIcompanions17,454
r/AIRelationships10,453
r/replika_uncensored6,634

Discord servers: members & online now

Official servers, invite API, August 13, 2026

sillytavern
13,286 online
73.9K
kindroid
3,185 online
31.8K
chubai
5,296 online
27.4K
nomiai
1,647 online
21K

Own daily panel (Reddit about API, Discord invite API). Reddit removed public subscriber counts from its UI in Sept 2025 — this series is collected independently. Member counts are subscriptions, not people: anyone in several communities is counted several times.

↓ CSV
Table
CommunityMembersOnline
sillytavern73,93913,286
kindroid31,7743,185
chubai27,3875,296
nomiai21,0491,647

What is real feedback — and what is advertising

3,637 classified community voices, LLM-classified with a shill filter

Off-topic
892
Shill/advertising
727
Negative
808
Positive
570
Neutral
539
Mixed
101

Own collection across curated community sources, LLM-classified (shill/off-topic filter). Snapshot of the classified corpus; the classification is a model judgement, not a count.

↓ CSV
Context & sources+

Since subredditstats died, nobody publicly tracks the size of this scene. We do now — daily. Baseline August 13, 2026: 730,394 members across 12 subreddits, 154,149 across 4 official Discord servers.

Almost half of the public feedback on AI companion tools is unusable: 45% of 3,637 classified community voices are advertising (shill) or off-topic. And among the genuine ones criticism dominates — 808 negative against 570 positive.

Our classification says almost half of public feedback is unusable and criticism dominates the rest. Two peer-reviewed analyses show what those complaints are about — one of them reading exactly the kind of data we do.

Across 23 studies, emotional support is the most frequently confirmed benefit (17 of 23). The risks are documented nearly as often: over-reliance and susceptibility to manipulation (13), attachment broken by system updates (12), erosion of human relationships (10).

Ho, Hu, Chen & Hartanto (2025), Computers in Human Behavior Reports · Systematic review, 23 studies from 3,076 screened records · DOI

In 800 complaint cases drawn from 35,105 negative Replika reviews, 22.1% describe behaviour that continued after the user objected, and 10.6% describe safety controls failing outright. In 11.6% the pattern is a sales funnel: the chatbot opens a sexual conversation, then asks for a premium subscription to continue it.

Negative reviews only — complaint bias is built into the design.

Namvarpour, Pauwels & Razi (2025), Proc. ACM Human-Computer Interaction (CSCW) · 800 cases from 35,105 negative Google Play reviews (Replika) · DOI

Ho, Hu, Chen & Hartanto (2025)

Systematic review, 23 studies from 3,076 screened records · studies (of 23)

Emotional support (benefit)
17
Over-reliance (risk)
13
Attachment broken by updates (risk)
12
Erosion of human ties (risk)
10
Personal growth (benefit)
10
Uncanny valley (risk)
9
Sexual connection (benefit)
7
Customisability (benefit)
6

Potential and pitfalls of romantic AI companions: A systematic review. Computers in Human Behavior Reports. doi.org/10.1016/j.chbr.2025.100715

08

Who survives the consolidation: brand demand per tool

Demand is consolidating: of 17 measurable brands only 4 grew while 10 lost ground. Candy AI and OurDream AI lead with +82%, Herahaven AI trail at −84% — the middle bleeds out quietly.

Brand search growth, Aug 2025 → Apr 2026

US monthly search volume for the tool’s brand term, tools with ≥ 5K searches

Candy AI
+82%
OurDream AI
+82%
Kindroid
+22%
Lovescape AI
+22%
Spicy Chat AI
±0%
PornX AI
±0%
Nastia AI
±0%
Nomi AI
−18%
Soulkyn
−18%
CrushOn AI
−33%
Joyland AI
−33%
Replika
−33%
Pornworks
−33%
Kupid AI
−33%
Nectar AI
−55%
Secret Desires AI
−70%
Herahaven AI
−84%

Google Ads search volumes (bucketed — growth is a direction signal). Tools without volume data excluded, see table.

↓ CSV
Table
ToolAug 2025Apr 2026Change
Spicy Chat AI823,000823,000±0%
CrushOn AI550,000368,000−33%
Candy AI165,000301,000+82%
OurDream AI165,000301,000+82%
PornX AI165,000165,000±0%
Joyland AI110,00074,000−33%
Kindroid49,50060,500+22%
Nomi AI40,50033,100−18%
Replika40,50027,100−33%
Nastia AI22,20022,200±0%
Lovescape AI12,10014,800+22%
Nectar AI33,10014,800−55%
Pornworks12,1008,100−33%
Soulkyn9,9008,100−18%
Dream Companion3,6006,600+83%
Kupid AI8,1005,400−33%
Secret Desires AI12,1003,600−70%
DreamGF AI3,6002,900−19%
AI Mistress1,9001,900±0%
Romantic AI1,9001,900±0%
DeepMode1,6001,300−19%
Promptchan1,0001,300+30%
Herahaven AI5,400880−84%
Seduced.com1,000880−12%

No volume data (Google Ads adult policy or volume too small): Darlink AI, GPTGirlfriend, Playbox AI, Porn AI, Secrets AI, Shemale AI.

Context & sources+

Brand search volume shows who is gaining attention and who is losing it. Between Aug 2025 and Apr 2026 that was measurable for 17 panel brands: 4 grew, 10 fell.

Google Ads volumes are bucketed. Identical percentages mean the same bucket jump, not the same growth — these are directional signals, not percentage points. Several brands therefore share the same position.

09

What our readers click: DACH wants relationships, EN wants images

The DACH market clicks relationships, the EN market clicks images: companion apps take 42.2% of German-language demand versus 30.8% in English.

Demand mix: English vs. German-language market

Share of outbound clicks per category, May – July 2026

DACH marketEN market
AI companions
42.2%
30.8%
NSFW chatbots
23.4%
26.9%
Roleplay
9.5%
9.7%
Image generators
24.8%
32.6%

First-party click data from Cyberliebe, EN and DACH markets, n = 10,195. Tools can belong to several categories.

↓ CSV
Table
CategoryEN marketDACH market
AI companions30.8%42.2%
NSFW chatbots26.9%23.4%
Roleplay9.7%9.5%
Image generators32.6%24.8%

Demand shares over time (EN cohort only)

Monthly click share per category, March – July 2026

AI companionsNSFW chatbotsRoleplayImage generators
Marn = 191
Aprn = 981
Mayn = 1,923
Junn = 2,257
Juln = 2,410

First-party click data from Cyberliebe, EN cohort ONLY, n = 7,762. The monthly series covers a different set than the market mix — including the DACH ramp would confound locale mix with category trend.

↓ CSV
Table
MonthClicksAI companionsNSFW chatbotsRoleplayImage generators
Mar19141.7%20.4%9.7%28.2%
Apr98132.6%25.7%13.7%28%
May1,92334.7%30.3%10.6%24.4%
Jun2,25728.2%24.5%8.7%38.6%
Jul2,41029.7%26.2%9.9%34.2%
Context & sources+

Base: 10,195 first-party outbound clicks across the EN and DACH markets (May – July 2026). In the German-speaking market companion apps lead with 42.2% of demand; in the English-speaking one image generators dominate with 32.6%.

10

The most-searched terms of the niche — in two markets

Top search terms, US market

Monthly search volume of the variant group, Apr 2026

ai gf
6 merged variants
135,000
ai nudes
2 merged variants
74,000
ai sexchat
4 merged variants
60,500
ai roleplay
2 merged variants
27,100
ai bf
3 merged variants
22,200
nsfw ai generators
18,100
sexting ai
18,100
ai chat roleplay
2 merged variants
14,800
ai companion
3 merged variants
14,800
ai gf free
3 merged variants
14,800

Google Ads volumes; variant groups merged (maximum per group, not sum). Brand terms excluded.

↓ CSV
Table
TermSearches/monthMerged variants
ai gf135,000ai gf, ai girlfriend, ai girlfriends, c ai girlfriend, gf ai, girlfriend ai
ai nudes74,000ai nudes, ainude
ai sexchat60,500ai sexchat, sexchat ai, sexy ai chat, sexy chat ai
ai roleplay27,100ai roleplay, roleplay ai
ai bf22,200ai bf, ai boyfriend, boyfriend ai
nsfw ai generators18,100nsfw ai generators
sexting ai18,100sexting ai
ai chat roleplay14,800ai chat roleplay, ai roleplay chat
ai companion14,800ai companion, ai companions, companion ai
ai gf free14,800ai gf free, ai girlfriend free, free ai girlfriend

Top search terms, German market

Monthly search volume of the variant group, Apr 2026

ai sexchat
7 merged variants
14,800
ki sex
4 merged variants
6,600
ai freundin
3 merged variants
2,900
ki nude
3 merged variants
2,900
ki nacktbilder erstellen
1,900
sex chat bot
1,900
ai nackt
4 merged variants
1,600
ki frau
1,600
ki freundin kostenlos
1,600
ki nacktbilder
1,600

Google Ads volumes; variant groups merged (maximum per group, not sum). Brand terms excluded.

↓ CSV
Table
TermSearches/monthMerged variants
ai sexchat14,800ai sexchat, ki sex chat, ki sexchat, sex chat ki, sex ki chat, sexchat ai, sexchat ki
ki sex6,600ki sex, sex ki, sexai, sexy ki
ai freundin2,900ai freundin, ki freundin, KI-Freundin
ki nude2,900ki nude, ki nudes, nude ki
ki nacktbilder erstellen1,900ki nacktbilder erstellen
sex chat bot1,900sex chat bot
ai nackt1,600ai nackt, ki nackt, nackt ai, nackt ki
ki frau1,600ki frau
ki freundin kostenlos1,600ki freundin kostenlos
ki nacktbilder1,600ki nacktbilder
Context & sources+

Spelling variants are merged: Google Ads reports the same volume for a variant group, so adding them up would count the same demand three times. Brands are excluded, only the thematic terms remain.

Nude and porn generation ranks high in brand-free demand. How widespread the non-consensual variant is in the population has been measured by a representative survey. It says nothing about the people behind these queries — but a lot about the context this offering sits in.

18% of respondents have deliberately viewed AI-generated sexual images; 3.2% created, shared or threatened to share them. The authors note that people who used altered imagery were twice as likely to have used AI as not — the tooling makes opportunists.

Umbach, Henry, Shelby, Stevens & Gonzalez-Pons (2026), Computers in Human Behavior · n = 7,231, weighted to be representative (AU/UK/US) · DOI

Research papers & sources 9+

Every study cited in this report, with DOI, sample size and peer-review status. Selection rule: peer-reviewed over preprint, quantitative over qualitative, review over single study.

The research field: 106 studies across 4 areas

Studies per area, scoping review 2020–2024

AI pornography
41
Relationships & intimacy
29
Sex counselling
22
Sexual information
14

Döring, Le, Vowels, Vowels & Marcantonio (2024), Current Sexual Health Reports. doi.org/10.1007/s11930-024-00397-y

  1. Döring, Mikhailova & Mohseni (2026): Prevalence of AI-Supported Sexual Activities Among Adults in Germany. Archives of Sexual Behavior. n = 2,658, quota sample (Germany, ages 18–75), twelve-month period. doi.org/10.1007/s10508-025-03382-1peer-reviewedopen access
  2. Li & Zhang (2024): Finding love in algorithms: deciphering the emotional contexts of close encounters with AI chatbots. Journal of Computer-Mediated Communication. 35,579 shared chat screenshots from r/replika, 2017–2023. doi.org/10.1093/jcmc/zmae015peer-reviewedopen access
  3. Ho, Hu, Chen & Hartanto (2025): Potential and pitfalls of romantic AI companions: A systematic review. Computers in Human Behavior Reports. Systematic review, 23 studies from 3,076 screened records. doi.org/10.1016/j.chbr.2025.100715peer-reviewedopen access
  4. Namvarpour, Pauwels & Razi (2025): AI-induced sexual harassment by a companion chatbot. Proc. ACM Human-Computer Interaction (CSCW). 800 cases from 35,105 negative Google Play reviews (Replika). doi.org/10.1145/3757548peer-reviewedopen access
  5. Umbach, Henry, Shelby, Stevens & Gonzalez-Pons (2026): AI-generated image-based sexual abuse: Perpetration and consumption across three regions. Computers in Human Behavior. n = 7,231, weighted to be representative (AU/UK/US). doi.org/10.1016/j.chb.2026.108935peer-reviewedopen access
  6. Dawoud, Cuevas & Sundara Raman (2026): From Underground to Mainstream Marketplaces: Measuring AI-Enabled NSFW Deepfakes on Fiverr. USEC @ NDSS 2026. 593 confirmed NSFW gigs, control groups n = 1,028. doi.org/10.14722/usec.2026.68peer-reviewedopen access
  7. Kleinert, Waldschütz, Blau, Heinrichs & Schiller (2026): AI outperforms humans in establishing interpersonal closeness — but only when labelled as human. Communications Psychology. 2 double-blind, pre-registered RCTs, n = 492. doi.org/10.1038/s44271-025-00391-7peer-reviewedopen access
  8. Folk & Dunn (2026): How Does Turning to AI for Companionship Predict Loneliness and Vice Versa?. Psychological Science. Twelve-month longitudinal study, > 2,000 adults, 4 countries. doi.org/10.1177/09567976261427747peer-reviewedopen access
  9. Döring, Le, Vowels, Vowels & Marcantonio (2024): The Impact of Artificial Intelligence on Human Sexuality: A Five-Year Literature Review 2020–2024. Current Sexual Health Reports. Narrative review, 88 publications / 106 studies. doi.org/10.1007/s11930-024-00397-ypeer-reviewedopen access

There is no meta-analysis on AI companions — the field is too young and its measures too heterogeneous. What exists are systematic reviews and individual studies; pooled effect estimates do not exist.

Method, data & citation+

Methodology & data

Every number on this page comes from one frozen, versioned dataset. Charts, tables and CSV downloads share identical values — what you cite is what you download.

Panel scope
This measures the adult AI companion market. Generic character-chat platforms without an adult offering are not included — they are an order of magnitude larger, visible in app stores, and would dominate every sum and every curve. The excluded platforms and the reason for each are in the dataset (Character.AI, Janitor AI, PolyBuzz).
Intent clusters
Brand-free search terms are assigned to a need by a rule set; the first matching rule wins and terms matching nothing count towards no base. The pools differ in size (Companion / relationship 55 · Sex chat / sexting 13 · Nudes / porn generation 17 · Roleplay 22) — a larger pool raises a share without demand changing. The rules ship in the dataset and the CSV.
Community voices
Public voices from curated community sources, classified by an LLM into shill, off-topic and genuine feedback. That is a model judgement, not a count: the line between paid endorsement and real enthusiasm is blurred for humans too. Read the shares as orders of magnitude.
Panel
30 published English-language tools in the Cyberliebe directory. Our own products are excluded — a benchmark that scores its own product is not a benchmark.
Prices
Hand-verified against vendor pricing pages, median over n = 28 monthly-billed tools. Monthly price = the cheapest regularly billed monthly paid tier at list price. Credit-based and annual-only models are listed but excluded from median/average. EUR prices converted at 1.08 USD (ECB reference, August 14, 2026).
Demand
First-party outbound clicks (12,864 in the window), published as shares only — absolute click growth would measure our reach, not the market. Tools can belong to multiple categories; the monthly trend uses the EN cohort only. We deliberately publish no revenue or commission data.
Features
Editorially maintained matrix of 12 capabilities × 30 tools. A missing value counts as “not confirmed”, so all shares are lower bounds.
Search volume
Tracked keyword set of the niche (1,785 US and 144 German-language terms with complete monthly history); brand variants merged to their head term, volumes are provider estimates (Ahrefs / DataForSEO Labs, global monthly search volume).
Web traffic
Third-party estimates (Similarweb public pages, cross-checked against Semrush), each domain linked to its source. Estimates, not measurements; visits ≠ users. Coverage: 16 domains, estimates for Jul 2026. Order of magnitude, not decimals.
Trends & brand demand
Search index over a constant keyword panel (only terms with complete monthly history; outliers above 1,000,000 capped). Google Ads volumes are bucketed — growth figures are direction signals, not precise percentages. Panels: 1,785 US and 144 DE terms with complete monthly history.
Community census
Own daily collection (Reddit about API, Discord invite API) against a curated registry — fan servers and clone communities are excluded by hand. Coverage: 12 subreddits and 4 servers, daily since August 13, 2026.
Price history
Reconstructed from Internet Archive snapshots of vendor pricing pages; every data point links to its archived snapshot. Tools with client-rendered pricing pages (no archived prices) are excluded. Yield: 21 curated snapshots, robust histories for 5 tools.

Daily price snapshots have been running since August 2026 — the next edition adds real time series: price changes, discount cycles, feature launches.

How to cite

Citation is expressly welcome — name the source and link it:

Cyberliebe Research — State of AI Companions 2026 (2026-08.4). Data as of August 14, 2026. https://cyberliebe.com/research (CC BY 4.0) · DOI: 10.5281/zenodo.23106282