We got 75M+ views in 6 months. This is how we run social with Muse, GrokBot now (Step by step tips)

@SeijinJung
英語2026年9月16日
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TL;DR

This article details a multi-platform content strategy that achieved 75 million views in six months by leveraging AI agents like Helena, Muse, and GrokBot for research, hook generation, and automated publishing workflows.

Over the past 6 months, we hit 75M+ views across X, Instagram, YouTube, LinkedIn, and TikTok.

Part of that is luck. Most of it is a content marketing system we built with Helena, our favorite AI marketer.

On top of that, we now use Muse and GrokBot to supplement specific pieces of the workflow (research dumps, platform-specific trend monitoring). The full loop still runs through Helena. She is the most-advanced agent we built for marketers: 100+ curated marketing skills, 3,500+ integrations, 100+ custom tools, brand guardrails, multi-channel ops. Muse and GrokBot are sharp generalist assistants. Helena is the marketing specialist.

(If you enjoy this article, like and repost! It helps a ton ❤️)

The Numbers At a Glance

LinkedIn: 600K+ views

Instagram: 45M+ views

YouTube: 10M+ views

TikTok: 10M+ views

Total reach: 💥 75M+ views

Channel-level Tips

1️⃣ LinkedIn: Personal Profile + Engagement Hooks

Like many others, personal profiles outperformed company pages significantly. Informal engagement posts with visual assets consistently beat polished corporate essays.

Winning Hook Patterns:

  • Shocking facts
  • Hard numbers in line 1
  • Negative pattern interrupts (e.g., "Stop doing X...")

Our Playbook:

1/ Map the room: Identify top ~25 creators/founders in your niche. Use them as your primary signal feed.

2/ Mine winning formats: Analyze their last 30-50 posts. Tag by hook type and comment velocity. Kill low-performing formats immediately.

3/ Lock 4-6 content pillars: Map every post strictly to these pillars to prevent random posting.

4/ Build a hook library: Write 10 hooks per pillar before drafting complete posts.

5/ Draft in your brand voice: Match proven structures using your unique stories and data points.

6/ Ship with visuals: Always attach image cards or simple document carousels.

7/ Farm the first hour: Reply to every comment. Leave thoughtful replies on adjacent accounts to signal live conversation to algorithms.

8/ Score and cut weekly: Double down on winning hooks; ruthlessly prune underperformers.

Where Helena owns it: Watchlist monitoring, post analytics, pillar maps, hook batches inside your guardrails, LinkedIn-tuned skills, draft → approve → schedule across the accounts you already connected. You review. She runs the motion.

Result: 500K+ cumulative LinkedIn views.

Key takeaway: You don't need a content committee. You need research → pillar → hook → ship → kill.

Seijin Jung - inline image

**

2️⃣ Instagram: UGC Creators + Performance Bonus

Structure: Creator network + performance upside (avoid pure gift-and-pray).

1/ Lock the format first: Focus exclusively on fast, easy-to-follow video concepts.

2/ Source for fit over follower counts: Prioritize creators with high posting consistency and comment engagement.

3/ Social listening briefs: Pull winning 3-second hook patterns directly from live IG/TikTok feeds into creator briefs.

4/ 1-page action briefs: Provide 3-5 hooks, beat sheet, must-say points, CTA, and clear good/bad examples so creators shoot instantly.

5/ Batch & score: Group content by hook families. Promote winning concepts and black-list failed angles.

6/ Weekly feedback loop: Test top 3 hooks, bottom 3 hooks, one format change, and one CTA test weekly.

Where Muse & GrokBot help: Muse for quick "what's printing in this vertical right now" scans. Muse has been excellent with Instagram-native monitoring. We use GrokBot for polishing brief language so creators get a one-pager they can shoot the same day.

Where Helena owns it: Creator monitoring, sourcing shortlists, social listening at volume, standardized briefs from viral patterns, must-say / never-say guardrails, kill lists of flopped angles, batch scoring. You send the brief. She keeps the research → brief → score → next brief machine running.

Result: One angle hit 13M+ views in <24 hours. Total program reach: 45M+ views.

Key takeaway: Creators need tight briefs, proven formats, performance upside, and an efficient operational pipeline.

Seijin Jung - inline image

**

3️⃣ YouTube Shorts: Scroll-Stopping Product Demos

For YouTube, we focused strictly on Shorts over long-form content libraries.

1/ High-friction concepts: Create feed pattern interrupts that force immediate user reactions.

2/ Proof point: A single product-demo Short hit 3.4M+ views.

Channel total: 10M+ views.

Key takeaway: Outcome-focused visual demos beat traditional packaging dogma every time.

Where Muse & GrokBot help: Rapid concept lists and alternate first-3-second hooks when you want a second opinion outside the main stack.

Where Helena owns it: Shorts-style concepts tied to your product proof, stop-scroll hooks, demo angles when usage earns the frame, variant machine, scheduling into the channels you already run. Purpose-built marketing skills, not a generic chat remix.

Seijin Jung - inline image

4️⃣ TikTok Slideshows: Rapid Audience Scaling

Slideshows remain one of the lowest-friction attention grabs on TikTok. Standard setup: ~7 slides, broad initial hooks, combined stock + AI visuals, and high volume.

The 4-Step Operating Loop:

1/ Slide 1 is the product: Draft 10+ hook variants per deck. Focus on unresolved tension, numbers, or broad conflicts.

2/ Fixed 7-slide skeleton: Hook → Setup → 3 Payoff Slides → Twist/Proof → CTA.

3/ Fast production & pruning: Ship daily. Track slide 1 completion rates. Double down on winners, purge losers in writing.

4/ Automate scaling ops: Once a hook family clears target thresholds, batch produce variants.

Proof Points:

  • 500K+ views on a single slideshow within 14 days of account launch
  • Grew to ~10K followers in <60 days
  • Channel total: 10M+ views

Where Muse & GrokBot help: Extra hook volume and alternate slide-1 phrasing when you want raw brainstorm speed.

Where Helena owns it: Hook batches, 7-slide builds, brand/guardrail checks, image ops, scheduling, multi-account cadence after the trial-and-error phase. That is how the account kept posting without a full-time editor.

Seijin Jung - inline image

⚡ The Underlying Pattern

None of these channels rewarded polished brand assets. They rather rewarded:

  • High testing volume
  • Fast kill rate for weak hooks
  • Riding native formats users already consume
  • Tight feedback loops (brief → ship → measure → iterate)

The bottleneck for us used to be operations: research, brief creation, variation, posting, and monitoring across channels simultaneously. We made a ton of progress by dogfooding our agent Helena and it's getting even better as we pair her with Muse and GrokBot now.

The principle underneath all of it

Tools and channel tactics only work if the operating principle is right.

1/ Stay on top of trends before they feel obvious.

2/ Research angles as real hypotheses, not vibes.

3/ Test those hypotheses quickly and at volume.

4/ Obsess over the metrics that actually move the loop (hold, completion, comments, saves, cost per outcome) so you can kill losers fast and double winners without ego.

That sequence is the whole game:

trend awareness → hypothesis → high-volume test → metric obsession → iterate → optimize

Muse and GrokBot help you scan and stress-test faster. Helena keeps the full loop running across surfaces so the principle does not die in a spreadsheet.

5/ AI as enabler, not autopilot spam:

Based on our experiments, I don't recommend shipping fully AI-generated content with zero human judgment. The feed punishes generic voice and thin proof.

Instead, use AI to accelerate research, hook volume, briefs, variants, and scoring. This has been the key playbook for our own content system.

The best setup is AI runs the ops loop (scan → draft → batch → measure) while you approve angles, claims, and what actually posts.

And of course, guardrails matter more than model choice: brand voice, must-say / never-say, kill lists, and a human pass on winners before scale.

🤖 How Muse, GrokBot, and Helena fit together

Muse and GrokBot: sharp generalist workload to supplement the process. Fast research dumps for x & instagram, hook stress tests, one-off creative spins, second opinions when you are already in their chat.

Helena: the complete marketing agent. Built for and by marketers. 100+ curated marketing skills. 3,500+ integrations. 100+ custom tools. Brand voice and claims guardrails. Multi-channel memory. Concurrent LinkedIn, Instagram/creators, YouTube, and TikTok ops so you are not babysitting four surfaces alone.

If you're interested in trying Helena, start your free 3-day trial here.

I hope you find this helpful! If you enjoy this article, please like and share! It helps a ton ❤️

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