One Platform for AIGC Management
Run unlimited accounts, on every platform, for all your AIGC. Multilogin gives every account its own real cloud phone, plus proxies and browser profiles, so your AI content can scale.
Perfect for multiple accounts
Unique cloud phones for each account
Publish everywhere
Reach more than 150 locations
Grow organically
Post from real devices
The infrastructure for AI-generated content management
Run unlimited accounts across every social media platform
Built-in proxies, real geo-targeting
Real cloud phones, fully isolated
Scale that keeps up with your pipeline
How to get started and grow your TikTok
Time is money. Start in minutes

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Choose a plan and download the app

Create mobile profile
Customize the device model and choose location

Run your accounts
Use separated browser profile to earn
Sign up
Choose a plan and download the app

Create mobile profile
Customize the device model and choose location

Run your accounts
Use separated browser profile to earn

Watch the Multilogin Demo
What is Multilogin?
Trusted by thousands of creators, sellers & online earners

Nino Latif

Nick Horvath
Marketing agency

Sagar C.
Social Media Marketing

Hamza Arif
E-commerce Manager

Nathan Green
Digital Marketing Specialist

George M.
Co-Founder, Small-Business
Start planning your project today
Upload content, automate posts and engagements: all in one unified dashboard
The most awarded multiple account management platform
Explore more solutions for any platform you need
FAQ
Generation quality crossed a real threshold: AI video, voice, and avatars stopped looking obviously fake around 2025-2026, so content that used to need a studio now needs a prompt.
Cost collapsed at the same time: what took a $500-1,000 creator shoot and a week now takes minutes and a fraction of the price, which is a genuine economic disruption.
And the proof is public: teams are openly running multi-million-dollar ad accounts on entirely AI-generated video, which turns “can AI content actually work” from a theoretical question into a demonstrated fact people can point to.
Depends which part of the pipeline you mean, generation tools and distribution infrastructure solve different problems, and lumping them together is how people end up with fifty great videos and nowhere real to post them.
For generation:
- Text: OpenAI, Anthropic Claude, Google Gemini, DeepSeek
- Images: Midjourney, Flux AI, Ideogram
- Video: Runway, Pika, Google Veo, Kling AI
- AI UGC ads and avatars: Arcads, HeyGen, Synthesia, Captions
- Cinematic AI video: Higgsfield Cinema Studio
For distribution and scaling, once the content exists:
- Scheduling and publishing: Buffer, Hootsuite, Sprout Social, Agorapulse
- Account infrastructure, the layer scheduling tools don’t touch: Multilogin, real cloud phones and isolated browser profiles per account, built-in proxies matched to each region, and API/ADB access so agents can publish directly
Text: OpenAI, Anthropic Claude, Google Gemini, DeepSeek. Images: Midjourney, Flux AI, Ideogram.
Video: Runway, Pika, Veo, Kling AI. AI avatars and talking-head content: HeyGen, Synthesia, Captions, Arcads.
Scheduling and multi-account publishing: Buffer, Hootsuite, Sprout Social, Agorapulse, Predis AI. No single tool covers the whole pipeline, teams chain several together.
A content factory is a production system where one idea gets pushed through AI generation, adapted into dozens of formats, and distributed across many accounts and platforms automatically, instead of one piece of content being made and posted once. It’s the industrial version of content creation: input in, dozens of finished assets out.
Generation is close to solved. Any team can produce a video, an image set, or a script in minutes. What separates teams that actually grow is whether they can turn that one asset into dozens of platform-native variations and get them all published safely. Distribution, not creation, is now the constraint.
AI generates → CMS organizes → Scheduler queues → Social platforms publish → Analytics measures → AI adjusts. It’s a loop, not a line.
The output of the analytics step directly shapes what the AI generates next, which formats get repeated, and which get dropped.
One AI character or persona, spread across 20-30 accounts, organized by platform and region, publishing 1,000+ pieces of content a month, with performance data flowing back to decide which variants get repeated. The account count is the actual scaling unit, not the content count.
How creators are actually scaling AIGC in 2026
The hardest problem in AIGC isn’t generating content anymore — it’s scaling it.
Modern AI tools can produce videos, images, UGC ads, podcasts, blog posts, and AI influencers in minutes. What separates successful teams from everyone else is their ability to turn one asset into hundreds of platform-native variations.
Today’s content pipelines don’t stop at generation. They include AI Content Management, Content Repurposing, Multi-platform Distribution, analytics, and automated publishing workflows that continuously optimize what’s working and discard what isn’t. AI has transformed content creation into content operations.
A typical AI content pipeline might look like this:
- Generate once.
- Repurpose automatically.
- Adapt content for every platform.
- Publish across multiple accounts.
- Analyze performance.
- Scale winning variations.
Multi-platform Distribution Has Become the Standard
The most successful AI creators rarely depend on a single platform. TikTok, Instagram, Facebook, Reddit, LinkedIn, YouTube Shorts, Pinterest, and X all reward different formats, audiences, and publishing patterns.
Instead of creating eight different campaigns, businesses increasingly build one campaign that evolves across multiple ecosystems. The same AI-generated video might become a professional LinkedIn post, an educational Reddit discussion, and a short-form social advertisement optimized for TikTok or Instagram.
AI Content Management Is Becoming Its Own Discipline
AI Content Management sits between content generation and content distribution. It combines scheduling, analytics, localization, account management, and publishing workflows into a single process.
From Content Creation to Content Scaling
The future of AIGC isn’t one AI-generated video going viral. It’s one successful idea becoming hundreds of platform-native assets distributed intelligently across the internet.
Generation is solved. Distribution is the bottleneck. Multilogin is built for the second half of that equation: getting content out, safely, across as many accounts and platforms as your pipeline can produce.
Real cloud phones, fully isolated.
Every account runs on its own real Android cloud phone. No emulators, no shared devices, no accounts stepping on each other. Fifty videos get fifty real places to go.
Built-in proxies, real geo-targeting
Every cloud phone comes with a matched residential proxy, so you can create Shorts, Reels, and TikToks that go straight to the exact audience you’re targeting. Post a US version from a US IP and a German version from a German IP, and each one shows up looking native to that market, not exported from one office.
Scale that keeps up with your pipeline
Add accounts as fast as your AI adds content. No hardware ceiling to slow you down.
Generate → Repurpose → Manage → Scale → Distribute. Multilogin runs the last two.
Why Multilogin Is Built for AIGC at Scale
Multilogin gives every AI-generated video, post, and ad a real account to go live from: real Android cloud phones, isolated browser profiles, and matched proxies, all from one dashboard, built for people and AI agents alike.
The Free plan costs nothing, needs no credit card, and gives you up to 5 profiles, 30 mobile minutes, and 200 MB of proxy traffic to start.
Paid plans start at $7.08/month billed annually and remove the profile ceiling, adding usage-based minutes and proxy traffic with rollover, full automation access, and team seats on higher tiers, scaling all the way up to 10,000 profiles.
