Viral Content Creation on X – Automated Tweeting with Trend-Aware LLMs
This Simular workflow automates the generation and posting of viral content on X (formerly Twitter). It combines AI-powered copywriting with trend scraping to produce and publish high-engagement posts at scale.
How It Works
1. Trend Discovery
Simular navigates to X search or a trend aggregator like Trends24, scrapes popular topics, and collects relevant keywords.
2. AI-Powered Content Generation
Internally using ask, Simular Pro generates a tweet draft tailored to the trending topic, with tone and style matched to the user’s brand. Simular Pro can also utilize other AI generation platforms like NotebookLLM to produce other content types like audio, images, videos, and more.
3. Tweet Posting
Simular opens X in a new tab, logs in if needed, and posts the tweet using browser-native actions.
4. Loop or Schedule
This process can repeat across multiple trends or run on a schedule for continuous publishing.
Benefits
- Hands-Free Posting – Generate and post content automatically.
- Trend-Aware – Posts align with real-time viral conversations.
- Brand Control – Custom prompts enforce voice consistency.
- Scalable – Can run continuously with no manual work.
Problems This Workflow Solves
- Manual Tweet Creation – Eliminates creative blocks and hand-writing.
- Inconsistent Engagement – Boosts reach with trend-driven content.
- Scheduling Limitations – Removes the need for external social schedulers.
Tech Stack
- Simular Pro – AI automation computer use GUI agent
- X (formerly Twitter) – Publishing platform
- LLM Prompts – For tweet generation
- Optional – LLMNotebook for Audio Generation