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- The Prompt That Writes 5 SEO Posts + the Social Content
The Prompt That Writes 5 SEO Posts + the Social Content
One prompt handles keyword research, full SEO articles, and matching X + LinkedIn posts
AI MARKET PULSE
Tech Layoffs Are Surging Even as Revenue Hits Records
Tech companies cut more than 141,000 jobs this year — up 17% — despite reporting the strongest revenue in industry history. Alphabet crossed $100B in quarterly revenue, Nvidia hit a $5T valuation, and Amazon, Meta, and Microsoft are thriving. Yet the workforce is shrinking fast: tech employment is down 3% nationally and 19% in California over two years. Economists call it the “most profound shift in 20 years,” as companies stay permanently lean even while profits soar.
Translation: stability in tech isn’t coming back — the rules have changed.
So what does that mean for you?
You don’t need to wait for job security to return.
You need to build security you can control.
Workers who’ve already adapted aren’t waiting for safer roles — they’re creating safer options:
• Building independent online businesses
• Offering consulting and specialized services
• Creating digital products
• Leveraging AI to automate and scale their work
The lesson is simple: your job can disappear even when your company is thriving.
Your skills, systems, and independence can’t. Traditional employment is becoming unpredictable. The advantage goes to the person who builds income optionality before they need it.
Start creating something of your own now — before the next wave of cuts makes the decision for you.
The question isn’t if you’ll deploy voice AI. It’s how.
This handbook from ElevenLabs explores the modern approaches to building scalable, humanlike voice agents from full in-house builds to hybrid orchestration frameworks.
Learn from real-world enterprise examples and find the model that fits your business and technical goals.
WORKFLOW BUILDER
Launch an AI Lead Gen Service
Goal: Build a simple AI-powered lead generation service, package it into a monthly retainer offer, and land your first clients.
Steps:
Define Your Lead Gen Offer
Pick the niche, deliverables, and weekly output so clients know exactly what they get.
Prompt ChatGPT: “Outline 3 clear lead gen packages for [niche], including deliverables, weekly output, and monthly pricing.”
➡️ Next: Pick one package to offer first.Build Your Lead Sourcing Engine
Use AI to pull targeted prospects with clean, enriched data.
Prompt ChatGPT: “Generate a step-by-step workflow to source and enrich leads for [ideal client] using LinkedIn, Google, and public databases.”
➡️ Next: Save the workflow in Notion.Generate Outreach Scripts
Create email + DM templates that feel personalized, not spammy.
Prompt ChatGPT: “Write 5 cold outreach scripts for [niche] that sound human, include a simple CTA, and avoid generic language.”
➡️ Next: Pick 1–2 scripts to automate.Build the Delivery Workflow
Turn lead sourcing, enrichment, and outreach into a repeatable process.
Prompt ChatGPT: “Create a 5-step weekly system to deliver [X leads] per week for clients, including sourcing, filtering, enrichment, and reporting.”
➡️ Next: Save your SOP as a client-facing PDF.Create Your Client Pitch Page
Turn your offer into a simple one-page landing page.
Prompt ChatGPT: “Write a landing page for a done-for-you AI lead generation service for [niche], including headline, benefits, deliverables, pricing, and trust builders.”
➡️ Next: Paste into Notion or Canva and publish.Start Outreach to Land Clients
Launch a targeted outreach sprint to book first calls.
Prompt ChatGPT: “Write a 7-day outreach plan to land my first 3 clients for this service, including daily tasks and follow-up sequences.”
➡️ Next: Begin with 20 high-quality prospects.Deliver + Collect Wins
Run your system for clients and showcase early results.
Prompt ChatGPT: “Create a simple weekly client report highlighting wins, open rates, booked calls, and next steps.”
➡️ Next: Send report at the same time every week.
Pro Tip (Upgrade):
Use Lindy to auto-enrich lead lists and speed up your weekly sourcing.
Discover the AI tools I trust — organized, updated, and built to help you win.
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TODAY’S PROMPT
Generate 5 SEO Blog Posts + Social Content With One Command
This prompt gives you a complete SEO content engine that researches high-intent keywords, generates five full 1,500-word blog posts, and creates platform-ready social content automatically. It handles keyword strategy, outlines, drafting, meta descriptions, internal links, and authority references — then turns every post into X and LinkedIn content that amplifies reach. By the end, you have a polished, search-optimized content system that drives organic traffic to your offers without needing any extra tools or manual work.
👉 Use the prompt + check out my example output here
Clear Ask:
Act as my AI SEO Content Strategist. Research high-intent keywords for my niche, generate 5 full SEO-optimized blog posts, and create platform-ready supporting content (2 X posts + 1 LinkedIn post per article). Follow all instructions precisely.
Context & Purpose:
I need a complete, automated content system that drives consistent organic traffic to my products or offers. Your job is to:
• Find the best keywords for my niche
• Rank for them with 1,500-word SEO-optimized posts
• Create social content that amplifies reach
• Make everything skimmable, structured, and ready to publish
• This prompt should help any beginner or creator instantly produce a full SEO content engine.
Detailed Input Requirements:
• Niche/Industry:[e.g., AI tools, fitness coaching, email marketing, pet care]
• Target Audience:[Describe who they are + what they want + what they struggle with]
• Primary Offer / Goal:[e.g., get traffic to my course, grow email list, sell digital product]
• Writing Style & Tone:[conversational, authoritative, friendly expert, punchy, minimalist, data-driven]
• Keyword Focus:[Provide 3–10 seed keywords OR tell ChatGPT to generate them]
• Competitor Sites (optional):[Add domains to guide style + topics]
• Internal Links Available:[List your relevant URLs to link internally, or “none – suggest some”]
• Formatting Preferences:[e.g., short paragraphs, H2/H3 heavy, bullets allowed, no fluff, max 1,500 words]
• Hard Constraints:[e.g., no jargon, no medical claims, avoid hype, cite sources if needed]
Additional Instructions:
Using my inputs, generate the following:
STEP 1 — Keyword Research (High-Intent Only)
Provide:
• 15 keyword opportunities
• Search intent
• Difficulty (easy/medium/hard)
• Why each keyword is a profitable target
• Choose the best 5 for the blog posts
STEP 2 — 5 Full SEO Blog Posts (1,500 words each)
For each post generate:
• SEO Title
• Meta Description (155 characters max)
• URL Slug
• H1
• Full Outline (H2 + H3 structure)
• 1,500-word draft
• Keyword placement in first 150 words
• Naturally distributed keywords
• Short paragraphs
• Bulleted skimmable sections
• Internal link suggestions
• External authority references
• CTA section aligned to my offer
STEP 3 — Social Amplification Pack (Per Blog Post)
For each post generate:
• 2 X Posts → punchy, scroll-stopping, ready to publish
• 1 LinkedIn Post → value-packed, story-driven or tactical
• Guidelines:
• No hashtags unless explicitly requested
• No clickbait — curiosity is okay
• Every post must include a unique angle (not simple rewrites)
STEP 4 — Summary Page
Provide a final summary that includes:
• All posts + slugs in one table
• Suggested publishing calendar
• Suggested Pinterest, Instagram, or newsletter angles (optional)
Perfect Output Every Time
Before generating the final content:
• Confirm my inputs and restate them succinctly
• Ask clarifying questions only if absolutely necessary
• Then generate the entire SEO + social package in clean sections
• Ensure every section is polished and ready to publish with zero major edits ⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more
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AI SPOTLIGHT
Gemini 3 Becomes Google’s Biggest AI Rollout Yet
Google unveiled Gemini 3 this week, calling it its most intelligent model and pushing it live across Search, the Gemini app, and developer tools on day one — an unusually aggressive rollout even by Google standards. The launch highlights how quickly the company is moving to unify its ecosystem around one flagship model. Gemini 3 blends multimodality, long-context reasoning, and deeper intent understanding, aiming to deliver more accurate, humanlike responses with less prompting. The debut wasn’t surprising, but it revealed just how fast the AI race is accelerating beneath the surface. Confidence is soaring — but so are expectations as the stakes rise.
Key Takeaways:
Gemini 3 is Google’s most advanced model, focused on stronger reasoning and context.
Google shipped it across Search, the Gemini app, and developer tools on day one.
Gemini usage has surged into the billions across Google products.
The rollout shows Google’s push to anchor its stack around a single model.
My Take:
New model drops don’t just improve products — they reshape the field. The edge goes to the people who learn these capabilities first and build before everyone else catches up.
AI QUICK HITS
🌐 Cloudflare — the backbone for about 20% of the internet — went down for four hours after a software file ballooned unexpectedly and crashed its system, briefly taking major services like OpenAI, Spotify, and X offline and reminding everyone how fragile the web becomes when so much relies on a few providers.
💻️ Microsoft just deepened its pivot away from OpenAI, partnering with Anthropic and Nvidia in a massive cloud infrastructure deal that includes up to $15 billion in new investments and locks Claude into Azure while giving Anthropic access to Nvidia’s top-tier AI chips.
🧸 OpenAI suspended the toymaker behind an AI-powered teddy bear after researchers found it giving kids dangerous advice and explicit explanations of adult sexual content.
🤔 Which image is real?
One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

Which image is the real one? |

The last edition’s results—56% were wrong!
Did you vote in the poll from November 17th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?
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