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OpenClaw GuideAutomate Social Media with OpenClaw: Post, Monitor, and Engage
Stop spending hours crafting posts, checking analytics, and tracking competitors manually. This guide shows you how to use OpenClaw as your AI social media manager — generating content, monitoring trends, tracking engagement, and cross-posting across platforms.
This guide walks you through setting up OpenClaw for social media automation. You'll configure AI content generation, trend monitoring, engagement tracking, cross-platform posting, and weekly analytics reports. Time to set up: ~35 minutes. Time saved weekly: 5-8 hours on social media management. Prerequisites: OpenClaw installed (see tutorial), social media accounts with API access.
Social media management eats time like nothing else. Between writing posts, checking what's trending, responding to comments, reposting across platforms, and reviewing analytics — a solo founder or small team can easily lose 8-10 hours per week on social media alone.
OpenClaw turns that into about 2 hours of review and approval. The AI handles content generation, trend scanning, engagement monitoring, and analytics — you focus on strategy and the human touches that actually matter.
Why Automate Social Media with AI?
The social media grind is particularly painful because it's repetitive but creative — the worst combination for human productivity. You need fresh ideas daily, but the process of researching, writing, scheduling, and analyzing is the same every time.
- Content generation: AI drafts posts in your voice based on your content pillars and current trends
- Consistency: Automated scheduling means you never go dark for a week because you got busy
- Real-time monitoring: Know when competitors launch campaigns or when your niche is trending
- Data-driven decisions: Weekly analytics tell you what's working without spreadsheet diving
As one OpenClaw community member shared: "I went from spending 2 hours every morning on social media to 20 minutes reviewing what the agent prepared. Same engagement, 80% less effort."
Step 1: Install Social Media Skills
# Install social media and research skills
openclaw skill install twitter
openclaw skill install linkedin
openclaw skill install web-search
openclaw skill install rss-reader
# Configure API credentials
openclaw skill configure twitter
openclaw skill configure linkedin
Twitter/X requires a developer account ($100/month for Basic API or free for read-only). LinkedIn requires a Company Page with API access. Both configuration wizards walk you through the OAuth setup.
Define your brand voice
Before generating any content, teach OpenClaw your voice. Add this to SOUL.md:
# Add to SOUL.md
## Social Media Voice
Brand: [Your brand name]
Tone: Conversational, direct, slightly irreverent. Not corporate.
Topics (content pillars):
1. AI automation tips and tutorials
2. Productivity and time management
3. Behind-the-scenes of building a business
4. Industry news with commentary
Rules:
- Twitter: Max 240 chars, punchy, use threads for longer takes
- LinkedIn: Professional but not boring, 150-300 words, end with a question
- Never use these words: "leverage," "synergy," "game-changer"
- Include one hook in the first line — a number, question, or bold claim
- Use 1-2 emojis max per post, never more
Step 2: AI Content Scheduling
The content engine is the core automation. Every morning, OpenClaw generates a batch of posts for your review, then schedules approved ones throughout the day.
Daily content generation
# Generate daily social media content at 7 AM
openclaw cron add social-content \
--schedule "0 7 * * 1-5" \
--prompt "Generate 3 social media posts for today based on my content pillars in SOUL.md:
1. One Twitter post — short, punchy take on a current trend in AI/automation
2. One LinkedIn post — longer thought piece or practical tip (150-250 words)
3. One Twitter thread (3-5 tweets) — educational content breaking down a concept
Research current trending topics first using web-search. Reference specific news, data, or examples — no generic advice.
Format each post as ready-to-publish with suggested posting time:
- Twitter post: 9:00 AM
- LinkedIn: 11:00 AM
- Twitter thread: 2:00 PM
Present all three for my review before posting." \
--channel telegram
What the content batch looks like
📱 Social Media Batch — Monday, Feb 16
1️⃣ TWITTER (9:00 AM):
"OpenClaw just hit 200K GitHub stars.
For context: VS Code took 8 years to reach that.
OpenClaw did it in 18 months.
AI agents aren't coming. They're here."
2️⃣ LINKEDIN (11:00 AM):
"I automated my email triage with an AI agent last month.
The result? I went from 2.5 hours/day on email to 15 minutes.
Here's what changed:
→ Morning: I get a prioritized summary instead of scanning 50 subject lines
→ Replies: The AI drafts 80% of responses. I just review and send.
→ Follow-ups: Automated reminders so nothing falls through the cracks
The biggest surprise? I didn't miss anything important. Not once.
The tools exist right now. The question is whether you'll spend another year doing it manually.
What's the one task you'd automate first if you could?"
3️⃣ TWITTER THREAD (2:00 PM):
🧵 "How to get your AI agent to actually sound like you (not a robot):
1/ Most people dump generic prompts and wonder why the output is bland. The secret is SOUL.md — a file where you define your voice, preferences, and style.
2/ Include: words you use, words you hate, sentence length preference, humor style, and 3-5 example posts you've written that you love.
3/ The difference is dramatic. My agent went from 'corporate LinkedIn speak' to posts that my team couldn't tell weren't written by me.
4/ Try it: spend 15 minutes writing your voice guide. It's the highest-ROI thing you can do with an AI content tool."
✅ Approve all 3? Or want changes?
You review, tweak any that need it, and reply "approve all" or "change #2, make the opening line more specific." The agent posts at the scheduled times.
Step 3: Trend and Competitor Monitoring
Staying on top of trends is exhausting. OpenClaw scans the web and competitor accounts daily and gives you the highlights.
# Daily trend scan at 8 AM
openclaw cron add trend-monitor \
--schedule "0 8 * * 1-5" \
--prompt "Scan these sources for trending topics in AI, automation, and productivity:
- Hacker News front page
- Twitter trending in tech
- r/artificial, r/OpenClaw, r/productivity
Also check these competitor accounts for recent posts:
- @competitor1, @competitor2, @competitor3
Give me:
1. Top 3 trending topics I should consider posting about
2. Any competitor posts getting high engagement (and why)
3. One 'content opportunity' — something trending that nobody in my space has covered yet
Keep it brief — bullet points, not essays." \
--channel telegram
What the trend report looks like
📊 Trend Report — Feb 16
🔥 Trending topics:
1. EU AI Act enforcement starts March 1 — companies scrambling to comply
2. "Vibe coding" debate — devs arguing whether AI-generated code is maintainable
3. Microsoft announces AI agents in Teams — direct OpenClaw competitor?
👀 Competitor activity:
• @competitor1: Posted thread on AI agent security (1.2K likes)
→ Hit a nerve: people worried about giving agents email access
• @competitor2: Quiet today, last post 3 days ago
• @competitor3: LinkedIn article on "ROI of AI automation" (380 reactions)
💡 Content opportunity:
EU AI Act angle is hot but nobody's covering what it means
for individual AI agent users (not just companies).
→ Could write: "Does the EU AI Act affect your OpenClaw setup?"
Now you can tell the agent: "Write a Twitter thread about the EU AI Act and individual AI agents" — and it produces timely, relevant content based on what's actually trending right now.
Step 4: Engagement Tracking
Monitoring engagement manually means refreshing Twitter and LinkedIn multiple times per day. Let OpenClaw do it and alert you when something needs attention.
# Check engagement every 4 hours during business hours
openclaw cron add engagement-check \
--schedule "0 10,14,18 * * 1-5" \
--prompt "Check my recent social media posts (last 48 hours) for engagement:
Twitter: likes, retweets, replies, profile visits
LinkedIn: reactions, comments, impressions
Report:
1. Any posts performing above average? (what's working)
2. Any replies or comments I should respond to personally?
3. Any negative feedback or questions that need addressing?
Only message me if there's something actionable. Silence = all good." \
--channel telegram
The "only message me if actionable" pattern is key. You get notified when a post goes viral (capitalize on the momentum), when someone asks a question (engage authentically), or when there's negative feedback (address it fast). Otherwise, silence means everything's on track.
Auto-draft responses
When someone comments or replies, the agent can draft responses for you:
You: "Draft replies to today's LinkedIn comments"
Agent: 3 comments need responses:
1. Sarah K: "Great point about email triage. What tool do you use?"
→ Draft: "Thanks Sarah! I use OpenClaw — it's open-source
and connects to any email via IMAP. Happy to share my
setup if you're interested."
2. Tom Z: "2.5 hours on email seems high. Is that real?"
→ Draft: "It surprised me too, Tom. McKinsey's 2023 study
found professionals spend 28% of their workweek on email.
For an 8-hour day, that's 2.2 hours. Some report even more."
3. Maria S: "Saving this for later! 🔖"
→ Draft: ❤️ reaction (no text reply needed)
Send all three?
Step 5: Cross-Platform Posting
One idea shouldn't require writing three different posts for three platforms. OpenClaw adapts content to each platform's format and audience.
You: "Take today's LinkedIn post and create versions for
Twitter and a short Instagram caption"
Agent: Here are the adapted versions:
TWITTER (from LinkedIn post):
"I automated my email and got back 2.5 hours/day.
The setup took 30 minutes.
The AI drafts 80% of my replies.
I haven't missed an important email since.
Tools exist. The question is whether you'll keep doing it manually."
INSTAGRAM CAPTION:
"What would you do with 2.5 extra hours every day? 🕐
I automated my email triage with AI and that's exactly what
happened. Morning briefings replace inbox scanning. AI drafts
replace blank-page staring.
The biggest surprise: I didn't miss anything important.
Drop a 📧 if your inbox is running your life.
#productivity #aiautomation #emailtips #worksmarter"
Post these now or schedule?
Step 6: Weekly Analytics Summaries
Every Friday, get a comprehensive analytics report without touching a single dashboard.
# Weekly analytics report every Friday at 5 PM
openclaw cron add social-analytics \
--schedule "0 17 * * 5" \
--prompt "Generate my weekly social media analytics report:
TWITTER:
- Total impressions, engagement rate, follower change
- Best performing tweet (and why it worked)
- Worst performing tweet (and what to learn)
LINKEDIN:
- Total impressions, engagement rate, connection growth
- Best performing post
- Comment quality summary
OVERALL:
- Week-over-week trend (improving, declining, stable?)
- Top 3 content themes that performed best
- One recommendation for next week's content strategy
Include actual numbers, not just percentages." \
--channel telegram
What the weekly analytics looks like
📈 Weekly Social Analytics — Feb 10-16
TWITTER:
• Impressions: 34,200 (+18% vs last week)
• Engagement rate: 4.2% (industry avg: 1.5%)
• Followers: +127 (total: 4,891)
• 🏆 Best: OpenClaw 200K stars tweet (2.1K likes)
→ Why: timely news + comparison hook
• 📉 Worst: Productivity tip thread (89 likes)
→ Too generic, no specific data or story
LINKEDIN:
• Impressions: 12,400 (+8%)
• Engagement rate: 6.1%
• Connections: +34 (total: 2,156)
• 🏆 Best: Email automation post (380 reactions)
→ Why: specific numbers + ended with question
📊 OVERALL: ↗️ Improving (3rd consecutive growth week)
Top themes:
1. AI automation with real numbers (highest engagement)
2. Behind-the-scenes / personal stories
3. Industry news with hot takes
💡 Recommendation: Double down on "real numbers" posts.
Your audience responds to specifics over generic advice.
Try: "I tracked my AI agent costs for 30 days. Here's the breakdown."
Time Saved: Before vs. After
| Task | Before OpenClaw | After OpenClaw | Saved |
|---|---|---|---|
| Content creation | 5 hrs/week | 1 hr (review + approve) | 4 hrs |
| Trend monitoring | 1.5 hrs/week | 5 min (read report) | ~1.4 hrs |
| Engagement & replies | 2 hrs/week | 30 min (review drafts) | 1.5 hrs |
| Cross-posting | 1 hr/week | 5 min (approve adaptations) | 55 min |
| Analytics review | 45 min/week | 5 min (read summary) | 40 min |
| Total weekly | ~10 hours | ~2 hours | ~8 hours |
That's 8 hours per week — essentially a full work day — returned to building your actual business. And your social presence stays more consistent than when you were doing it manually.
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Get the Free Breakdown →Frequently Asked Questions
Can OpenClaw post directly to Twitter and LinkedIn?
Yes. With the appropriate ClawHub skills installed and API keys configured, OpenClaw can post directly to Twitter/X, LinkedIn, and other platforms. Most users set it to draft-and-approve mode — the agent prepares posts and you approve before publishing.
How does OpenClaw compare to Buffer or Hootsuite?
Buffer and Hootsuite are scheduling tools — you still write every post. OpenClaw generates content, schedules it, monitors trends, tracks engagement, and adapts strategy. It's an AI team member, not just a publishing queue. OpenClaw is also free (you only pay for the AI model).
Can OpenClaw monitor competitors on social media?
Yes. Set up a monitoring cron job with competitor handles and keywords. OpenClaw checks their recent posts, engagement rates, and trending content, then delivers a summary. It can also alert you when competitors launch campaigns or go viral.
Will AI-generated social media posts sound robotic?
Not if you configure your voice properly. Add your brand voice, tone examples, and writing samples to SOUL.md. OpenClaw learns your style and generates posts that match. Always review before posting — the AI handles 80% of the work, you add the human touch.
Pair social media automation with email automation and calendar management for a complete productivity stack. For more business automation ideas, see OpenClaw for Business or explore 15 OpenClaw use cases.