The AI gold rush has a dirty secret: you do not need to train models, hire ML engineers, or raise venture capital to build a profitable AI business. The most consistently profitable AI businesses in 2025-2026 are wrappers. Simple apps that take a powerful AI API and package it for a specific use case with a clean UI and targeted prompts.
This is not glamorous. VCs will call it "not defensible." Twitter pundits will say "OpenAI will just add that feature." But while they debate moats and defensibility, wrapper builders are quietly printing $5K-$50K/month in recurring revenue with near-zero marginal costs.
An AI wrapper is a software application that uses an AI API (like OpenAI's GPT-4o, Anthropic's Claude, or Stability AI's image generation) as its core engine, wrapped in a purpose-built interface for a specific job.
The wrapper is 10x faster for the specific task because the prompting, formatting, and context are pre-built. The user pays $19-$49/month to save 5-10 hours per month on a task they do repeatedly.
AI wrappers have the best unit economics of almost any software business model.
At 100 paying users on a $19/month plan, you are making $1,900/month in revenue with roughly $100-$200 in total costs. That is $1,700+ in monthly profit from a product you built in a couple of weekends.
The niche is everything. A generic "AI writing tool" competes with ChatGPT, Jasper, Copy.ai, and a hundred others. An "AI property description writer for realtors" competes with almost nobody.
1. Do they write the same thing repeatedly? Realtors write property descriptions. Recruiters write job postings. Restaurant owners write menu descriptions. E-commerce sellers write product descriptions. If the answer is yes, there is a wrapper opportunity.
2. Are they willing to pay? B2B niches (professionals, small businesses) pay for tools that save time. Consumers are harder to monetize. A tool that saves a realtor 5 hours/month is worth $49/month to them because their time is worth $100+/hour.
3. Can you reach them? The best niche in the world is useless if you cannot find potential customers. Can you reach them through Google Ads, LinkedIn, industry forums, Facebook groups, or cold email? If yes, proceed.
2. Prompt engine: Your system prompts, templates, and context that turn the structured input into an optimized AI API call. This is your secret sauce. A well-crafted system prompt with few-shot examples produces dramatically better output than a naive API call.
3. Output display: Formatted results with copy-to-clipboard, edit, regenerate, and save functionality. Users need to be able to tweak the output and save their favorites for reuse.
The quality of your prompts determines the quality of your product. Here is what separates amateur wrappers from profitable ones:
Annual pricing at a 20% discount (e.g., $15/month billed annually) improves retention and cash flow.
Stripe Checkout handles 90% of what you need. Create a checkout session, redirect users to Stripe's hosted page, handle the webhook for successful payments, and update their subscription status in your database. Stripe's Customer Portal lets users manage their own subscriptions, cancellations, and payment methods. No customer support needed.
Building is the easy part. Getting users is the hard part.
1. Prompt quality: Use user feedback to continuously improve your system prompts. A/B test different prompt versions and track user satisfaction.
2. Feature depth: Add saved templates, team collaboration, API access for power users, and integrations with tools your users already use (e.g., Zapier, Chrome extension).
3. Retention: Implement usage emails, onboarding sequences, and check-in emails for users who have not logged in recently. Churn is the enemy of MRR growth.
Common Mistakes
Building a generic tool. "AI writer" is not a business. "AI property descriptions for Texas realtors" is a business. The more specific your niche, the easier it is to acquire customers and charge premium prices.
Over-engineering the MVP. Your first version should take 1-2 weekends to build. If you are spending months on v1, you are building too much before validating demand. Ship fast, iterate based on user feedback.
Ignoring distribution. The graveyard of AI wrappers is full of beautifully built products that nobody found. Spend 50% of your time on distribution from day one. Building is a one-time effort; distribution is ongoing.
Not tracking unit economics. Know your API cost per user, customer acquisition cost, lifetime value, and churn rate. If your CAC exceeds your first-month revenue, you need to fix either your pricing or your acquisition strategy.
Copying existing wrappers. If there are already 5 AI tools doing what you want to build, pick a different niche. The advantage of wrappers is speed to market in underserved niches, not competing in crowded ones.
AI wrapper apps are the modern equivalent of the picks-and-shovels play in a gold rush. The AI models are the gold. You are selling the tools that make them usable for specific jobs. Build narrow, charge fairly, and distribute aggressively.
Related: AI Companion Apps | Vibe Coding | AI Automation Agency | Print on Demand
2026 Market Snapshot
Three trends.vc reports collide on the AI wrapper opportunity. The OpenClaw Hosting report names a "wrapper bubble" where SimpleClaw hit $7,000 MRR in 3 days, while warning that the wrapper window is roughly 90 days before competition catches up. AI-Powered SaaS reports operators clearing $949/month subscriptions (Browserbear), $130k+/mo (TypingMind via Tony Dinh), and $1M ARR (Cursor scaling to $29.3B valuation). Micro-App Portfolios reframes the strategy entirely: Pieter Levels runs 70+ projects with a 5% hit rate, $3.1M ARR, zero employees: and that's the model that survives the bubble. Solo operators win by treating wrappers as portfolio bets, not single-product hero plays.
- Pieter Levels: 70+ projects, ~5% hit rate, $3.1M ARR, zero employees; PhotoAI alone does $132k/mo, RemoteOK $41k/mo
- Marc Lou: $1.03M earned in 2025 across 23 projects; ShipFast and CodeFast each ~$20k/mo
A caution about all four figures above. Both operators publish their revenue openly, which is why these numbers are quotable at all, and open metrics are live rather than fixed. They move month to month, they are revenue rather than profit, and they describe two people who are among the most visible in the field precisely because they are exceptional. Read them as evidence that the model can work at that scale, not as a benchmark.
- Tony Dinh: TypingMind at $130k: $160k/mo, sold BlackMagic.so for $128k
- Danny Postma: HeadshotPro $300k year one; portfolio includes TattoosAI, StockAI, Deep Agency
- Lovable hit $100M ARR in 8 months; Bolt.new hit $40M ARR in 6 months; Cursor crossed $1B ARR. Vibe-coding tooling lowers wrapper-build cost to nearly zero
Key Players to Watch
Every figure here is self-published or publicly reported rather than verified by us. Open revenue dashboards also move month to month, so read any number as a snapshot.
The combination of trends.vc-cited portfolio operators, AI-SaaS founders, and tooling stacks defines the lane.
- Pieter Levels: Portfolio archetype; vanilla PHP, jQuery, SQLite stack proves simplicity scales
- Marc Lou: Boilerplate operator (ShipFast) and serial app shipper
- Tony Dinh: TypingMind founder; clean wrapper-to-real-product evolution
- Danny Postma: HeadshotPro proves $300k/year solo wrappers exist
- Erikas Malisauskas: $4.5M/year Shopify app portfolio, ~90% margins
- Cursor, Lovable, Bolt.new: Vibe-coding tooling that crushes build cost
- ShipFast: $130k+/mo Next.js boilerplate; sells to wrapper builders directly
- Browserbear, Written Labs: Trends.vc-cited subscription wrapper operators
- Roast My Web, Completely, Xound: Single-use pricing wrappers ($4-$39 per use)
- Acquire.com, Flippa, Empire Flippers: Trends.vc-named exit marketplaces for portfolio assets
Predictions for 2026-2027
- Q3 2026: "Portfolio OS" tooling emerges. Single dashboards connecting Stripe, Plausible, hosting, and support for portfolio operators (trends.vc explicitly names this gap)
- Late 2026: Distribution-as-a-service for micro-apps becomes a viable agency model at 10-15% of revenue or flat retainer; trends.vc names distribution as the post-vibe-coding moat
- Mid-2027: Agent-skill marketplaces and OpenClaw-style hosting absorb a slice of the wrapper market as managed-execution moves up the value chain
- 2027: Wrapper acquisitions by hosting platforms and AI-SaaS aggregators accelerate; trends.vc names OpenAI and Meta circling OpenClaw as a directional signal
Emerging Opportunities
Vertical wrapper for one named profession. Trends.vc's Micro-App Portfolios report is explicit: "AI property descriptions for Texas realtors" beats "AI writer." Pick one job in one industry with a directly addressable list (chiropractors, Etsy shop owners, pediatric dentists) and ship a $29-$99/month tool.
Portfolio-OS micro-SaaS. Trends.vc names this as an emerging category. Solo operators are stitching dashboards across Stripe, PostHog, and hosting. Build the unified tool. Price $49-$199/month based on connected apps.
AI-powered app maintenance service. Trends.vc-named opportunity at $20-$50/app/month. Portfolio founders at 10+ apps face escalating maintenance burden. Offer dependency updates, security patches, monitoring, and bug fixes as a managed service.
Boilerplate or template product. ShipFast clears $130k+/mo selling a Next.js starter kit at $199 one-time. The market for "skip the boring parts" templates expands as more solo builders ship wrappers. Pick a stack (Next.js, Bun, Astro, mobile) and make the best opinionated starter.
Common Objections & Counterarguments
"Wrappers have no moat." Trends.vc's AI-Powered SaaS report counters directly: "If wrappers solve problems, users will pay for them." Cursor is technically a wrapper around language models and crossed $1B ARR. Moat comes from distribution, brand, and unit economics. Not the underlying API.
"OpenAI/Anthropic will build this themselves." Trends.vc's OpenClaw report rebuts: "Platform owners historically underinvest in hosting relative to core products." OpenAI is not going to build "AI property descriptions for Texas realtors". Too narrow, too distracting. The wrapper niche is what big players cede.
"You're building a graveyard, not a portfolio." Trends.vc acknowledges this. Operational overhead at 10+ apps is real. The fix is the managed maintenance service named above, plus aggressive pruning of underperformers. Pieter Levels names a 5% hit rate as the math; the other 95% should die fast and cheap.
"The wrapper window is too short to build a real business." Trends.vc names the 90-day window for commodity wrappers, but Cursor, Lovable, and Bolt.new prove that wrappers with security, distribution, or category brand last years. The escape from the bubble is to evolve from "wrapper" to "product with workflow lock-in."
AI Companion Apps
App intelligence firm Appfigures, in data provided to TechCrunch in August 2025, counted 337 active revenue-generating AI companion apps worldwide, 128 of them released during 2025. The mobile segment generated $82 million in the first half of 2025 and was on track for over $120 million by year end, against $221 million in worldwide consumer spending across the category's lifetime to that point. Downloads reached 220 million globally, with first-half downloads up 88 per cent year on year.
You will see far larger figures quoted for this market. They are not comparable. Estimates range from under a billion dollars to more than thirty billion depending on whether the definition covers mobile consumer spending, all relational AI, or projected future markets, so treat any single headline number as a definitional choice rather than a measurement.
The distribution matters more than the total, and Appfigures published it. The top 10 per cent of AI companion apps generate 89 per cent of the revenue in the category, and only around 33 apps have ever exceeded $1 million in lifetime consumer spending. Revenue per download across the category ran at $1.18 in 2025, up from $0.52 in 2024.
Read those three numbers together before building. A category can be growing quickly, be worth a modest amount in absolute terms, and still concentrate almost all of its money in a handful of apps. That is the actual shape of this market, and it is a harder place to enter than a billion-dollar headline suggests.
This is a market driven by a fundamental human need. The desire for conversation, connection, and companionship. Combined with AI technology that has become good enough to partially satisfy it. Whether that is a net positive for society is a legitimate debate. What is not debatable is that millions of people are paying real money for this product every month.
Understanding the Market
#### Why People Use AI Companions
The reasons people use AI companion apps are more diverse than the "lonely people talking to robots" stereotype suggests.
Entertainment and roleplay. The largest segment. Users create or interact with fictional characters for creative storytelling and roleplay. Character.ai's most popular characters are fictional: anime characters, game characters, original creations. This is collaborative fiction, not a replacement for human relationships.
Language learning. Practicing conversational language with an AI that never judges your pronunciation or grammar. The AI can adjust its complexity to your level and explain mistakes in real time. This is one of the most defensible niches in the space.
Emotional support and venting. Some users treat AI companions as a judgment-free space to process emotions, vent about their day, or practice difficult conversations. This is distinct from therapy. No AI companion should market itself as a mental health treatment.
Productivity and coaching. AI companions that act as accountability partners, writing collaborators, or brainstorming partners. Less emotionally charged than other use cases, but growing.
#### The Competitive Landscape
Character.ai dominates the general-purpose market with 20M+ monthly active users. It is extremely difficult to compete with them head-on. Do not try.
Replika pioneered the AI companion space and focuses on personal AI friends and romantic companions. They have faced regulatory challenges around NSFW content.
Chai is a mobile-first platform with a younger user base and a focus on entertainment.
The opportunity is in niches that these platforms handle poorly. Character.ai is broad but shallow in any specific use case. A purpose-built AI language tutor, a fandom-specific character platform, or a mental health check-in bot can serve its niche better than a general-purpose platform.
Building Your AI Companion
#### The Fastest Path: Telegram or Discord Bot
You can build and launch an AI companion in a weekend using a Telegram or Discord bot. This approach requires minimal technical skill and zero mobile app development.
How it works: You create a Telegram bot using the Telegram Bot API, connect it to OpenAI or Claude's API, and define a system prompt that shapes the AI's personality, knowledge, and conversational style. The system prompt is the product. It determines whether users find the AI compelling or boring.
Advantages: No app store approval process, no mobile development, instant deployment, and Telegram/Discord handle the user interface. Users can start chatting immediately from their existing apps.
Limitations: You are constrained by Telegram/Discord's interface. No custom UI, no rich media beyond what the platform supports, and you are dependent on a third-party platform.
#### The Custom App Path
For a full-featured AI companion, build a mobile or web app using React Native, Flutter, or a web framework. This gives you complete control over the user experience. Custom UI, voice messages, image generation, onboarding flows, and monetization.
Tech stack for a solo developer:
- Frontend: React Native (cross-platform iOS/Android) or Next.js (web)
- AI: OpenAI GPT-4o-mini or Claude Haiku for cost-efficient conversation
- Database: Supabase or Firebase for user data and conversation history
- Payments: Stripe or RevenueCat for subscription billing
- Hosting: Vercel (web) or cloud functions for the API layer
Development timeline: A solo developer with experience can build an MVP in 2-4 weeks. A non-technical founder using no-code tools might take 4-8 weeks.
#### The System Prompt Is Your Product
In the AI companion space, the system prompt is what differentiates your product. Two apps using the same underlying AI model (GPT-4o) can deliver completely different experiences based on how the system prompt shapes the AI's behavior.
A great system prompt defines:
- Personality: How the AI speaks, its tone, vocabulary, and communication style
- Knowledge: What the AI knows about and can discuss competently
- Boundaries: What the AI will not discuss or engage with
- Memory instructions: How the AI references past conversations and remembers user preferences
- Behavioral rules: Response length, emoji usage, question-asking patterns, and conversational flow
Spend more time refining your system prompt than on any other aspect of your product. Test it extensively with diverse conversation scenarios. The difference between a compelling AI companion and a boring one is almost entirely in the system prompt.
Monetization Models
#### Freemium Subscriptions (Recommended)
The proven model in this space. Offer a free tier with limited daily messages (20-50) and a premium subscription ($5-$20/month) that unlocks unlimited messages, premium characters, voice features, and conversation memory.
Pricing benchmarks:
- Character.ai c.ai+: $9.99/month
- Replika Pro: $14.99/month
- Chai Premium: $13.99/month
- Niche bots on Telegram: $4.99-$9.99/month
Start at the lower end ($4.99-$9.99) to reduce friction and increase conversion from free to paid. You can always increase prices later as you add features.
#### In-App Purchases
Sell tokens, credits, or gems that users spend on premium interactions, character unlocks, or special features. This model works well alongside subscriptions and captures spending from users who want specific features without committing to a monthly plan.
#### Tips and Donations
Platforms like Ko-fi and Buy Me a Coffee allow users to voluntarily support creators. This works better for community-driven projects than commercial apps.
Managing API Costs
API costs are your largest variable expense and the primary threat to profitability.
Cost per message: Using GPT-4o-mini, a typical message exchange (user message + AI response) costs $0.001-$0.003. A heavy user sending 200 messages per day costs $0.20-$0.60/day or $6-$18/month.
Optimizing costs:
- Use smaller models (GPT-4o-mini, Claude Haiku) for most conversations and reserve larger models for premium features
- Implement conversation summarization to reduce context length (instead of sending the entire conversation history with each message, summarize older messages)
- Cache common responses for frequently asked questions
- Set message length limits to prevent unnecessarily long AI responses
- Consider open-source models (Llama 3, Mistral) on your own infrastructure for maximum cost control
Unit economics check: If your subscription is $9.99/month and your average user costs $8/month in API fees, you are losing money at scale. Target API costs below 30% of subscription revenue for a sustainable business.
Safety and Ethics
This section is not optional. AI companion apps occupy ethically complex territory, and ignoring safety will eventually destroy your product through lawsuits, platform bans, or media backlash.
Age verification. Implement meaningful age gates if your content is not suitable for minors. App stores require compliance with COPPA (US), GDPR (EU), and similar regulations. "Are you 18+" checkboxes are not sufficient for regulated content.
Crisis detection. If a user expresses suicidal ideation, self-harm intentions, or other crisis signals, your AI must respond appropriately. Providing crisis hotline numbers and encouraging the user to seek human help. This is both an ethical imperative and a legal liability issue.
Content moderation. Decide what your AI will and will not engage with, and enforce those boundaries in your system prompt and through content filtering layers. Document your policies clearly in your terms of service.
Transparency. Users should always know they are talking to an AI, not a human. Do not design your product to deceive users about the nature of the interaction.
Data privacy. Conversations with AI companions are often deeply personal. Encrypt stored conversations, minimize data retention, and give users the ability to delete their data. A data breach from an AI companion app would be devastating to users and to your business.
Growth and Marketing
#### TikTok and YouTube Shorts
Short videos showing interesting or funny conversations with your AI companion are the highest-converting marketing format. Screen-record a compelling conversation, add a caption and trending audio, and post. The content markets itself because people are inherently curious about AI interactions.
#### Reddit and Online Communities
Language learning subreddits, anime communities, and AI enthusiast forums are targeted distribution channels. Share your product authentically: explain what makes it different and offer free access for feedback.
#### App Store Optimization
If you build a mobile app, ASO (app store optimization) is critical. Research keywords that users search for: "AI friend," "AI chat," "character chat," "roleplay AI." Optimize your app title, subtitle, and description for these terms.
#### Partnerships
Collaborate with content creators in your niche. A language learning YouTuber demonstrating your AI conversation partner reaches exactly the right audience. Offer them a revenue share or flat fee for promotion.
The AI companion market is real, growing, and profitable. It is also ethically complex and rapidly evolving. Enter it with a clear niche, strong safety practices, and realistic expectations about the engineering and operational challenges involved.
Related: AI Wrapper Apps | Vibe Coding | AI Automation Agency
2026 Market Snapshot
Trends.vc's Virtual AI Companions report frames 2026 as the year companion apps stop being a curiosity and become a real category. The named players cover the spectrum: Pi for general companionship, Replika for romantic relationships, Character for personality-based companions, Forever Voices turning influencers into virtual companions, and vertical apps like Cleo (finance), Kai (well-being), Clare (voice-based mental health), Melli (elderly), and Polly (assistive). The AI-Powered SaaS report supplies the monetization template: Browserbear at $949/month subscriptions, single-use plans at $4-$39 per session, and freemium with capped credits. The combination explains why companion apps are clearing seven-figure revenue with tiny teams.
- Caryn Marjorie's AI companion charges $1/minute. The named celebrity-companion pricing benchmark
- Replika has scaled into millions of paying users on customizable companion subscriptions
- Eugenia Kuyda's Roman Bot: trends.vc-cited proof that "immortal" deceased-person companions resonate emotionally
- Microsoft Edge Bing Chat and Perplexity AI represent the conversational-internet shift trends.vc names
- Single-use pricing examples from AI-Powered SaaS (Roast My Web packs, Xound at $4.99/file) translate directly to per-session companion pricing
Key Players to Watch
The combination of trends.vc-cited companion apps, AI-SaaS infra, and the broader virtual-companion stack defines the lane.
- Pi: Personal AI companion for support and advice
- Replika: Customizable companions including romantic relationships
- Character: Personality-driven companions based on people and characters
- Cleo, Finance-companion vertical
- Kai, Well-being vertical
- Clare: Voice-based mental health coach
- Melli: Voice-controlled companion for the elderly
- Polly: Assistive AI for neurological conditions
- Forever Voices, Influencer-to-companion conversion studio
- Chai: Companion creation, sharing, and discovery platform
- Claude (Anthropic), OpenAI APIs, Mistral, Underlying model providers
- Twelvefold, 1811 Labs, Slimmer AI, Pawa, VirASTRAL. Trends.vc-named AI startup studios building portfolio companion plays
Predictions for 2026-2027
- Q3 2026: Voice-first companions go mainstream. Trends.vc names Melli and Clare as voice-native; Apple, Samsung, and Bolt are embedding companions in hardware
- Late 2026: Influencer-companion licensing becomes a standard creator monetization tier; trends.vc explicitly cites Amouranth and Caryn Marjorie as templates, with Forever Voices as the production layer
- Mid-2027: "Immortal" deceased-person companions move from edge case to small-but-serious vertical, particularly in grief support and family memory preservation
- 2027: Vertical companion apps (finance, fitness, study, language) outearn general-purpose companions on a per-user basis as specialization beats breadth
Emerging Opportunities
Vertical micro-companion. Pick one job-to-be-done (sober coaching, grief support, exam prep, language conversation, ADHD accountability) and ship a $9-$29/month companion. Trends.vc names Cleo, Kai, Clare, Melli, and Polly as living proof of the vertical-companion model.
Influencer-companion productization. Trends.vc explicitly names Forever Voices as the studio template. Build the agency layer: license a creator's voice and persona, ship a Replika-style app to their fans, charge $19-$49/month with revenue share to the creator.
B2B companion for service businesses. Trends.vc names Crisp's MagicReply, Drippi, and Wendy's AI ordering as examples. Build a companion that handles 24/7 customer support for one vertical (dental offices, fitness studios, salons). Charge $99-$499/month.
Hardware-embedded companion. Trends.vc predicts AI embedded in hardware: VoiceKitt for cars, Bolt for scooters, Samsung in appliances. Solo operators can ride this by building the software companion layer for niche hardware partners (smart-home devices, hearing aids, kids' toys).
Common Objections & Counterarguments
"AI companions worsen loneliness and isolation." Trends.vc directly names this objection. Counter: companions help practice real-life interactions, provide 24/7 availability that humans cannot, and serve underserved populations (elderly, neurodivergent, geographically isolated). Like therapy or journaling, companions are a tool. Outcome depends on use.
"Companions give harmful advice." Real risk that trends.vc names. Mitigate with content filters, escalation paths to human professionals, clear disclaimers, and vertical specialization (a finance companion stays in finance). Avoid medical and legal advice or partner with licensed providers.
"This is a feature OpenAI / Anthropic will build." Trends.vc's AI-Powered SaaS rebuttal applies: platform owners underbuild relative to vertical needs. ChatGPT will not become a grief-support companion or an ADHD coach. Those need product depth, not a model swap.
"Engagement is addictive. This is harm-coded." Genuine ethics issue. Counter by designing for healthy engagement: session time limits, suggesting in-person support, and not optimizing for daily-active-user metrics in ways that exploit vulnerable users. Trends.vc's framing of "meaningful connection with personalized support" implies the right design intent.
Companion Apps Are Now Regulated, and the Liability Is Personal
If you are building anything in the companion category, this section matters more than any growth tactic on this page. The regulatory position changed in 2025 and most material written about the opportunity predates it.
What California SB 243 does
California enacted Senate Bill 243, signed on 13 October 2025, the first comprehensive state law in the United States specifically regulating companion chatbots. Some obligations applied immediately and others phase in by 1 July 2027.
The definition is broad and it is written to catch products like the ones this page describes. A companion chatbot is an AI system with a natural language interface that provides adaptive, human-like responses and is capable of meeting a user's social needs, including by exhibiting anthropomorphic features and being able to sustain a relationship across multiple interactions. Carve-outs exist for chatbots used solely for customer service or business operations, for video game bots limited to discussing the game, and for standalone consumer devices that do not sustain ongoing relationships.
Read that definition against a roleplay or companion product and the answer is usually that you are in scope.
The law applies to any operator making a companion chatbot platform available to users in California. It is not limited to companies based there. A solo developer anywhere in the world shipping to the App Store without geographic restriction is making the product available to users in California.
The obligations
Disclosure. Where a reasonable person could be misled into believing they are interacting with a human, you must give clear and conspicuous notification that the chatbot is artificially generated. Because the statute does not spell out how the reasonable person test applies, the conservative approach is to disclose even where you think users obviously know.
Additional duties toward minors. For users you know to be minors, you must disclose they are interacting with AI, and provide a clear and conspicuous notification at least every three hours during ongoing interactions, reminding them to take a break and that the chatbot is not human. Every platform must also disclose that companion chatbots may not be suitable for some minors.
Safety protocols. You must maintain protocols to prevent content relating to suicidal ideation, suicide or self-harm, including notifications referring users to crisis services where a user expresses such sentiments. You must publish details of those protocols on your website. For known minors, you must take reasonable measures to prevent the chatbot producing visual material of sexually explicit conduct or telling the minor to engage in it.
Annual reporting. From 1 July 2027, operators must report annually to the California Office of Suicide Prevention on the number of crisis referral notifications issued and the protocols in place. Reports must exclude user identifiers, and the office publishes data from them.
The part that changes the risk calculation
Individuals injured by non-compliance may bring a civil action for injunctive relief and damages.
A private right of action is a different kind of exposure from regulatory enforcement. A regulator has finite attention and usually starts with large operators. Private claims do not work that way, and the plaintiffs' bar does not need a regulator to act first. For a small operator, this is the provision that turns compliance from a nice-to-have into a condition of running the business.
What to do before you launch
Decide whether you are in scope, honestly, against the statutory definition rather than against how you would prefer to describe your product. "It is just a roleplay app" is not a category the law recognises.
Build the disclosures in from the start. Retrofitting a three-hour reminder into a session architecture designed without one is more work than including it.
Decide how you handle age, because several duties turn on users you know to be minors. Note that this cuts both ways: a deliberate choice not to know may not protect you, and it forecloses the defence that you complied with the minor-specific duties.
Write and publish your safety protocols, and make them real. Publication is an obligation, and a published protocol you do not follow is worse than no protocol at all.
Get the crisis-referral path working and test it, because it is the provision most directly tied to the harm the statute exists to prevent.
And treat California as the template rather than the exception. It is the first such law, not the last, and other jurisdictions are drafting. Building to the stricter standard now is cheaper than retrofitting to each new one.