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Source Table

Browse the source registry behind the report without opening a raw CSV file. Each card keeps the claim, source, attribution, and caveat together so the evidence is easier to inspect.

29

source rows

15

chart-ready rows

15

named publishers

0

AIdorable outcome claims

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4 rows

Market growth

Market Demand
ACS-001Chart-readycitation ready secondary with attribution

AI companion app supply

Appfigures data reported by TechCrunch identified 337 active revenue-generating AI companion apps worldwide by mid-2025, with 128 released in 2025 by the report date.

Source

TechCrunch / Appfigures

2025-08-12

Caveat

Attribute Appfigures through TechCrunch; not a direct Appfigures source.

Open source
ACS-002Chart-readycitation ready secondary with attribution

AI companion app revenue

Appfigures data reported by TechCrunch estimated AI companion apps generated $82 million in consumer spend in H1 2025 and were on track to exceed $120 million for 2025.

Source

TechCrunch / Appfigures

2025-08-12

Caveat

Consumer spend estimate; use with attribution.

Open source
ACS-003Chart-readycitation ready secondary with attribution

AI companion app downloads

Appfigures data reported by TechCrunch estimated AI companion apps had reached 220 million global downloads by July 2025, with H1 2025 downloads up 88% year over year to 60 million.

Source

TechCrunch / Appfigures

2025-08-12

Caveat

Downloads are app-store installs, not active users.

Open source
ACS-004Chart-readycitation ready secondary with attribution

AI companion revenue concentration

Appfigures data reported by TechCrunch said the top 10% of AI companion apps generated 89% of category revenue, and about 33 apps had passed $1 million in lifetime consumer spend.

Source

TechCrunch / Appfigures

2025-08-12

Caveat

Good context for concentration, not product outcome proof.

Open source

3 rows

Broader AI app context

Market Demand
ACS-005Chart-readycitation ready secondary with attribution

GenAI app downloads/revenue

Sensor Tower reported that generative-AI apps neared 1.7 billion downloads and nearly $1.9 billion in in-app purchase revenue in H1 2025.

Source

Sensor Tower

2025

Caveat

Broader generative-AI apps, not AI companion apps only.

Open source
ACS-006Chart-readycitation ready secondary with attribution

GenAI app time spent projection

Sensor Tower projected generative-AI app time spent to rise from 17.2 billion hours in H1 2025 to 36 billion hours in H1 2026.

Source

PRNewswire / Sensor Tower

2026

Caveat

Projection; broader GenAI, not companion-specific.

Open source
ACS-007Chart-readycitation ready secondary with attribution

GenAI app IAP projection

Sensor Tower projected AI app in-app purchase revenue would surpass $4 billion in H1 2026, up 36% from H2 2025.

Source

PRNewswire / Sensor Tower

2026

Caveat

Projection; broader AI app bucket.

Open source

2 rows

Why social connection matters

Social Context
ACS-008Chart-readycitation ready primary

Global loneliness prevalence

WHO reported that one in six people worldwide is affected by loneliness, framing social connection as a global health issue.

Source

World Health Organization

2025-06-30

Caveat

Use as social context only; not product efficacy evidence.

Open source
ACS-009Chart-readycitation ready primary

Loneliness mortality context

WHO linked loneliness to an estimated 100 deaths per hour worldwide, more than 871,000 deaths annually.

Source

World Health Organization

2025-06-30

Caveat

Sensitive context; avoid product tie-in.

Open source

6 rows

Safety and boundaries

Teen Safety
ACS-010Chart-readycitation ready primary

Teen AI companion exposure

Common Sense Media surveyed 1,060 U.S. teens aged 13-17 and found 72% had used AI companions.

Source

Common Sense Media

2025-07-16

Caveat

Teen-only survey; AIdorable is not for kids.

Open source
ACS-011Chart-readycitation ready primary

Regular teen use

Common Sense Media found 52% of surveyed U.S. teens were regular AI companion users and 13% reported daily use.

Source

Common Sense Media

2025-07-16

Caveat

Teen-only survey.

Open source
ACS-012Chart-readycitation ready primary

Teen social/relationship use

Common Sense Media found 33% of surveyed teen AI companion users reported using them for social interaction or relationships.

Source

Common Sense Media

2025-07-16

Caveat

Use to explain safety concerns; report avoids kids framing.

Open source
ACS-013Chart-readycitation ready primary

Teen private information sharing

Common Sense Media found 24% of teen AI companion users reported sharing personal or private information.

Source

Common Sense Media

2025-07-16

Caveat

Safety/privacy context only.

Open source
ACS-014Chart-readycitation ready primary

Teen discomfort

Common Sense Media found 34% of teen AI companion users reported discomfort from an AI companion interaction.

Source

Common Sense Media

2025-07-16

Caveat

Safety context; wording must be careful.

Open source
ACS-015Source onlycitation ready primary

FTC AI companion inquiry

The FTC opened an inquiry into AI companion chatbots and requested information from companies about safety, monetization, age restrictions, disclosures, negative impacts, and data handling.

Source

Federal Trade Commission

2025-09

Caveat

Inquiry context, not a finding of wrongdoing.

Open source

5 rows

Balanced evidence

Psychological Evidence
ACS-016Source onlycitation ready primary

OpenAI/MIT study design

OpenAI and MIT studied affective ChatGPT use through automated analysis of about 40 million interactions and a randomized controlled trial of nearly 1,000 participants over four weeks.

Source

OpenAI / MIT

2025

Caveat

ChatGPT use, not dedicated companion app use.

Open source
ACS-017Source onlycitation ready primary

OpenAI/MIT emotional engagement distribution

OpenAI/MIT reported emotional engagement with ChatGPT was uncommon overall but concentrated among a subset of heavier users.

Source

OpenAI / MIT

2025

Caveat

Use as nuanced evidence, not broad warning headline.

Open source
ACS-018Source onlycitation ready primary

Longitudinal chatbot study

Folk and Dunn's 12-month study of more than 2,000 adults found increased social chatbot use predicted increased loneliness on a single-item emotional isolation measure, while broader social connection findings were more complex.

Source

Psychological Science / Sage

2026-03-23

Caveat

Single loneliness item; mixed broader social-connection directionality.

Open source
ACS-019Source onlycitation ready primary

Stanford Character.AI risk finding

Stanford reported findings from Character.AI users suggesting vulnerable users with limited offline networks may feel lonelier after seeking emotional support from chatbots.

Source

Stanford News

2026-08-04

Caveat

Character.AI user research, not all companion apps.

Open source
ACS-020Source onlybalanced evidence working paper

AI companions can help some users

De Freitas and coauthors report evidence that AI companions can reduce loneliness in some study contexts, with feeling heard proposed as a mechanism.

Source

arXiv / HBS working paper

2024-07-09

Caveat

Use as balance; not final clinical proof and not AIdorable-specific.

Open source

2 rows

Digital nurturing lineage

Digital Nurturing
ACS-021Chart-readycitation ready primary

Tamagotchi shipment milestone

Bandai Namco reported Tamagotchi had shipped 100 million units worldwide by the end of July 2025 and reaches its 30th anniversary in November 2026.

Source

Bandai Namco

2025

Caveat

Heritage context for virtual-pet care loops.

Open source
ACS-022Source onlycitation ready primary

Virtual-pet app older-adult study

A 2026 Springer study of a virtual-pet mobile app for older adults reported usability and social-interaction findings while noting virtual pets cannot fully replace physical pets.

Source

Springer / Universal Access in the Information Society

2026

Caveat

Older-adult study; not AIdorable and not AI companion market proof.

Open source

7 rows

Methodology

AI Search Mechanics
ACS-025Source onlycitation ready primary

Google AI feature SEO guidance

Google states its AI features are rooted in core Search ranking and quality systems; useful, crawlable, high-quality content remains the right optimization path.

Source

Google Search Central

2026

Caveat

Content strategy guidance; not a promise of AI visibility.

Open source
ACS-026Source onlycitation ready primary

Crawlable links

Google link guidance says crawlable links should be real HTML anchor elements with href attributes and clear, concise anchor text.

Source

Google Search Central

2026

Caveat

Methodology note.

Open source
ACS-027Source onlycitation ready primary

Paid link qualification

Google says paid or sponsored links should be qualified, with rel=sponsored preferred and rel=nofollow acceptable.

Source

Google Search Central

2026

Caveat

Methodology note.

Open source
ACS-028Source onlycitation ready primary

Link spam guardrails

Google spam policies flag manipulative paid links, low-quality directory links, hidden links, and keyword-rich widget/footer links as link-spam risks.

Source

Google Search Central

2026

Caveat

Methodology note.

Open source
ACS-029Source onlycitation ready primary

OpenAI crawler roles

OpenAI documentation distinguishes OAI-SearchBot for search, GPTBot for training, and ChatGPT-User for user-triggered requests.

Source

OpenAI

2026

Caveat

Methodology note.

Open source
ACS-030Source onlycitation ready primary

Perplexity crawler roles

Perplexity documents separate crawler/user-agent behavior and notes that robots.txt changes may take time to reflect.

Source

Perplexity

2026

Caveat

Methodology note.

Open source
ACS-031Source onlycitation ready primary

FTC review solicitation rules

FTC guidance warns marketers not to ask non-users for reviews, not to selectively request only positive reviews, and to disclose incentives properly.

Source

Federal Trade Commission

2024

Caveat

Ethics guardrail.

Open source

Claim boundary

This edition does not use first-party AIdorable outcome claims, AI-search citation claims without screenshots, or unsupported health/therapy claims. The report explains the category without promising that AIdorable reduces loneliness or treats anything.