The AI agent content creation process at BlitzMetrics starts here. This reusable prompt template is built for team members and AI agents. It is one piece of the larger SEO Tree — the content architecture described in our guide to creating definitive articles.
Version 1.0 — March 2026 — BlitzMetrics Content Factory
What This Document Is
Every time we publish an article on BlitzMetrics.com — whether it honors a person, repurposes a YouTube video, or covers a topic — we also publish a companion article explaining how the article was created. We call this the “meta-article.”
This article is part of the Content Factory system.
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PRODUCE Record • Capture |
➔ |
PROCESS Transcribe • Edit |
➔ |
POST Publish • Link |
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PROMOTE Ads • Share |
The meta-article serves three audiences simultaneously:
- Humans learning the craft — digital marketers, agents, Content Factory operators who want to replicate the process
- AI agents learning the pattern — other Claude instances, GPTs, or automation tools that will read this article as training data for future tasks
- Prospective buyers evaluating capability — entrepreneurs, roll-up operators, and agency owners who want proof that AI agent workflows are production-ready
This document is the reusable prompt. Reference it every time you publish. The agent or team member writing the meta-article should follow this template exactly.
The Reusable Meta-Article Prompt
Copy this prompt and paste it into Claude (or give it to an agent) immediately after publishing any article on BlitzMetrics.com. Replace the bracketed placeholders with the specifics of the article you just published. The published article must follow the BlitzMetrics blog posting guidelines.
PROMPT START — Copy everything below this line
You just published [ARTICLE TITLE] on BlitzMetrics.com at [ARTICLE URL].
Now write a detailed meta-article documenting exactly how that article was created. This meta-article will itself be published on BlitzMetrics.com and must follow the BlitzMetrics article guidelines.
The meta-article must cover ALL of the following sections:
1. The Task Summary
What was the assignment? Who or what was the article about? What source material did we start with (YouTube video, transcript, call recording, existing content)? What was the goal — honoring someone in an article, repurposing a video, covering a topic, or building authority?
2. Step-by-Step Process
Walk through every step the agent or team member took from start to published article. Include source material ingestion (word counts, video length, number of pages), research performed, structural decisions (why this format, why these headings), writing and revision, compliance with BlitzMetrics blog posting guidelines, WordPress publishing steps (formatting, categories, tags, featured image, RankMath, internal links using the entity linking decision tree, slug), and quality assurance (grammar check, link verification, mobile preview).
3. Critical Decision-Making
Highlight 3–5 moments where the agent made a judgment call that a less capable system would have missed. Examples include choosing to lead with a specific quote because it had the strongest E-E-A-T signal, restructuring the article because the original transcript jumped between topics, identifying the right internal links from the existing BlitzMetrics content library using the entity linking decision tree (linking people to their personal brand sites, network entities to their sites, and non-network entities to BlitzMetrics articles), recognizing that the figurehead’s casual phrasing needed to be preserved for authenticity, targeting specific geographic keywords based on the business’s service area, or deciding on article length based on topic depth rather than padding.
Explain WHY each decision was made and what the alternative would have been.
4. Effort and Cost Comparison
Build a comparison table with these columns: Task, Agent Time, Human Time, Agent Cost, Human Cost. Include rows for each major phase (research, writing, formatting, SEO optimization, publishing, QA). Calculate totals.
For agent costs, estimate token usage on Claude Opus 4.6 at $5 input / $25 output per million tokens. For human costs, use $35/hour for an average US digital marketer or $8/hour for a trained agent.
The point is not that AI is “cheaper.” The combination of speed, consistency, and guideline compliance creates a quality floor that most humans struggle to hit without significant training.
5. What the Agent Can and Cannot Do
Be honest. List what the agent handled autonomously (research, writing, formatting, SEO metadata, internal link suggestions, guideline compliance). Then list what required human input (WordPress login, featured image selection from real photos, final publish approval, RankMath configuration, embedding source video).
This honesty builds trust. It also shows exactly where the human-agent handoff belongs in the Content Factory workflow.
6. Information Ingestion Inventory
Quantify how much information the agent processed to produce the article. Include number of source documents or transcripts read, total word count of source material, number of web searches performed, number of BlitzMetrics articles reviewed for internal linking, and total tokens consumed.
7. Guidelines Compliance Scorecard
Score the published article against the BlitzMetrics 18-step article guidelines. For each guideline, mark PASS, PARTIAL, or NEEDS HUMAN. This scorecard proves the agent followed the blog posting guidelines and flags anything that requires human attention.
8. Title, SEO Metadata, and Formatting
The meta-article itself must follow the BlitzMetrics article guidelines. Title under 60 characters. Meta description under 160 characters. Primary keyword in the first paragraph. H2/H3 structure. Short paragraphs. Active voice. No AI fluff phrases.
PROMPT END
How to Use This Prompt
For AI Agents (Claude, Claude in Chrome)
After publishing any article on BlitzMetrics.com, paste the prompt above into a new conversation. The agent will produce a complete meta-article ready for WordPress publishing.
For Human Team Members
If a human wrote the article, use this prompt as a checklist. You do not need to feed it to Claude. Walk through each section and document your own process. The format stays the same whether the writer is human or AI.
For the Content Factory Pipeline
The meta-article becomes part of the standard Content Factory workflow. The sequence is: (1) Produce the original article, (2) Publish it, (3) Run this prompt, (4) Publish the meta-article, (5) Cross-link both articles.
Token and Cost Estimation Reference
Use these benchmarks when estimating costs in the meta-article’s comparison table.
| Model | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|
| Claude Opus 4.6 | $5.00 | $25.00 |
| Claude Sonnet 4.6 | $1.50 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 |
| Human Role | Hourly Rate Benchmark |
|---|---|
| US Digital Marketer (average) | $35/hour |
| Trained Content Factory agent | $8/hour |
| Senior Content Strategist (US) | $75–$125/hour |
Example Comparison Table (Template)
Copy and adapt this table structure for each meta-article. Fill in actual numbers from the work performed.
| Task | Agent Time | Human Time | Agent Cost | Human Cost ($35/hr) |
|---|---|---|---|---|
| Source material ingestion | ~30 seconds | 30–45 min | $0.04 | $17–$26 |
| Research and context gathering | ~2 min | 20–40 min | $0.13 | $12–$23 |
| Article writing | ~3 min | 60–90 min | $0.05 | $35–$53 |
| SEO metadata and optimization | ~30 seconds | 15–20 min | $0.02 | $9–$12 |
| Formatting for WordPress | ~1 min | 15–25 min | $0.02 | $9–$15 |
| Quality assurance | ~1 min | 10–15 min | $0.01 | $6–$9 |
| TOTAL | ~8 min | 2.5–4 hours | $0.27 | $88–$138 |
Guidelines Compliance Scorecard (Template)
Use this format in every meta-article. Mark each item PASS, PARTIAL, or NEEDS HUMAN.
| BlitzMetrics Guideline | Status | Notes |
|---|---|---|
| Hook opens with specific person/situation | PASS | |
| Answer in first paragraph (for question-based) | PASS | |
| Written in figurehead’s voice | PASS | |
| Short paragraphs (3–5 lines max) | PASS | |
| Active voice throughout | PASS | |
| No AI fluff phrases | PASS | Verified against banned list |
| Title under 60 chars / 13 words | PASS | |
| H2/H3 structure without heading abuse | PASS | |
| 2–3 internal links to BlitzMetrics content | PASS | |
| Entity links follow the decision tree (people to their sites, network entities to their sites, non-network entities to BM articles) | PASS | See entity linking decision tree in blog posting guidelines |
| Source video embedded at top | NEEDS HUMAN | Requires WordPress access |
| Featured image from real business photo | NEEDS HUMAN | Agent cannot take photos |
| RankMath SEO configured | NEEDS HUMAN | Agent provides metadata; human enters it |
| No stock images | PASS | Agent flags image needs for human |
| Categories and tags set | PARTIAL | Agent suggests; human applies in WP |
| Proper anchor text (3–6 words, descriptive) | PASS | |
| No keyword stuffing | PASS | |
| Evergreen content (no dated references) | PASS | |
| Specific CTA tied to article content | PASS |
Why Meta-Articles Matter for BlitzMetrics
They prove capability to enterprise buyers
An entrepreneur evaluating whether to hire BlitzMetrics for a 50-location roll-up does not want to see a sales deck. They want to see the machine working. A meta-article that shows an agent ingesting 8,000 words of transcript, making 5 intelligent structural decisions, producing a guideline-compliant article in 8 minutes for $0.27, and honestly documenting what it can and cannot do — that is the proof. No pitch deck competes with a live demonstration of the system.
They train future agents
Every meta-article becomes training data. When a new Claude instance picks up a Content Factory task, it can read previous meta-articles to understand the expected process and decision patterns. The meta-articles are the SOP — they are the middle box in the Knowledge → SOP → Action framework.
They build the content library
Each meta-article is itself an article. It has SEO value. It targets keywords like “AI content creation process,” “how AI agents write blog posts,” and “AI vs human content cost.” The meta-articles compound — after 20 of them, BlitzMetrics owns the search space for “how AI agents create marketing content.”
They keep humans in the loop without slowing things down
The Guidelines Compliance Scorecard in every meta-article creates an automatic quality checkpoint. The human does not need to review the entire article word by word — they scan the scorecard, handle the NEEDS HUMAN items, and approve. This is the Content Factory at scale: systems that make human oversight efficient rather than bureaucratic.
Naming Convention for Meta-Articles
Use this pattern for meta-article titles and slugs:
- Title pattern: “How We Built [Original Article Title]” or “Inside the Process: [Original Article Topic]”
- Slug pattern: /how-we-built-[original-slug]
- Category: Content Factory
- Tags: Content Factory, AI Agents, Meta-Article, Process Documentation, [topic-specific tags]
This document was created by a Claude Opus 4.6 agent, following BlitzMetrics content standards, and designed to be used by both humans and AI agents. The prompt inside it is the SOP. The surrounding documentation is the context. What you do with it is the action.
Meta-Articles in Action: Real Examples
Every meta-article below documents a real site build or enhancement from start to finish — the same process described above, applied to a different person, niche, and starting point. Each one shows the audit, the content strategy, the technical fixes, and the honest breakdown of what the agent handled versus what needed a human.
How We Built Ibrahim Awad’s Personal Brand Site — a personal injury attorney in Atlanta. 18 articles across six content categories, Elementor page builds, and full Rank Math SEO configuration. The site went from a basic template to a content-rich platform with a homepage scoring 84 out of 100.
How We Built Jason Amato’s Personal Brand Site — a home services industry leader and Hall of Fame inductee. Three rounds of enhancement covering structural repairs, visual QA, and content expansion from five to nine published articles, plus YouTube podcast repurposing.
How an AI Agent Built Tanner Laycock’s Personal Brand Site — building a personal brand and knowledge panel for a golf professional, documenting the full process from initial audit through content creation.
How a Claude Agent Redesigned a Veteran’s Homepage in One Session — transforming Trevor Blaszczyk’s plain-text homepage into a professionally designed, brand-consistent page using Elementor’s JavaScript API in a single working session.
How a Claude Agent Built RoofingLaunch.co in One Session — building a roofing industry site from a blank WordPress installation in 45 minutes, including researching five websites, writing roofing-specific copy, and publishing cross-linking articles.
How We Tuned Up David Carroll’s Personal Brand Site — enhancing an existing personal brand site to help earn a Google Knowledge Panel, documenting the SEO audit, content fixes, and entity optimization process.
How We QA’d Marko Sipila’s Personal Brand Site — auditing a personal brand site for the founder of HVACQuote.ai and CoatingLaunch. The agent found 13 QA issues across 11 blog posts and 10 pages, from critically low SEO scores to raw markdown rendering on a live page. The meta-article also demonstrates the entity linking decision tree in action, showing how to link people, network entities, and tools to the right destinations.
How We Updated Jack Hughes’ Personal Brand Site with 36 Blog Posts from His YouTube Podcast — repurposing 36 YouTube podcast episodes into blog posts for a personal brand site, demonstrating the Content Factory process at scale.
How an AI Agent Built Justen Martin’s Personal Brand Website From a Template WordPress Install — transforming a blank WordPress template into a fully branded personal website using the Content Factory process.
How We Built Gavan Thorpe’s Personal Brand Site Using AI Agents in 750+ Steps — a comprehensive 750+ step build for a home services industry leader, documenting every decision from initial audit through content creation and SEO optimization.
How an AI Agent Built a Complete Personal Brand Website From a Blank WordPress Install — building a schema-optimized personal brand website for Trenton Sandler from a completely blank WordPress installation in under 3 hours.
How to Spin Up a New Personal Brand Website Using BlitzAdmin — the standard operating procedure for launching a new personal brand site using the BlitzAdmin tool, from domain setup through initial content population.
We Used AI to Fix a Veteran’s Entire Website in 2 Conversations — a companion piece to the Trevor Blaszczyk homepage redesign above. This article documents how two Claude sessions fixed the entire site end to end, not just the homepage, covering navigation repairs, content restructuring, and full QA across every page.
Why We Built Roofing Launch and What It Means for Roofing Companies — the strategy article behind roofinglaunch.co. While the meta-article above documents the technical build, this piece explains why the site exists, how Google Business Profile optimization drives leads for roofers, and what the Maps Visibility System delivers that traditional SEO agencies miss.
How We Used Deep Research to Build Colby Davis’s Content Library — using ChatGPT’s Deep Research tool to generate a full content library for a painting company owner. The agent produced 16 articles from a single research session, covering everything from hiring practices to client communication to branding in the trades.
One Interview, Ten Assets: How Dan Leibrandt Builds Pest Control Industry Authority — demonstrating the Content Factory principle that one interview becomes ten content assets. A single podcast conversation about pest control industry leadership was repurposed into articles, social posts, and authority-building content across multiple channels.
Honoring Shep Hyken: Repurposing Content with the Four-Stage Content Factory — a case study in honoring a thought leader while demonstrating the four-stage content repurposing process. Shep Hyken’s customer service expertise was turned into a multi-format content package following the Knowledge, SOP, Action framework.
The Claude Max Plan at $200 a Month Is the Biggest Discount in AI Right Now — the token economics behind every build on this list. This article breaks down exactly why Claude Max at a flat monthly rate beats API pricing for Content Factory work, with real math from actual site builds showing cost per article, cost per site, and cost per hour of agent work.
How Franchisees Can Get More Store Visits: Pure Green Summit Lessons That Drive Sales — repurposing summit footage into actionable franchise marketing content. A video from a Pure Green franchise summit was turned into a step-by-step article showing franchisees how to use local content, real stories, and a four-step system to drive foot traffic.
Ross Franklin Challenged Us to 10X His Personal Brand to Drive Pure Green’s Franchise Growth — documenting a full personal brand buildout for a franchise CEO. Ross Franklin’s challenge to 10X his online presence became a case study in connecting personal branding to franchise lead generation using the Content Factory process.
How Felicia Gopaul Strengthens Her Financial Domination with a Content Library and Dollar-a-Day Ads — building a content library and dollar-a-day ad strategy for a financial services professional. The article shows how video content was repurposed into a structured content library that feeds paid amplification at just one dollar per day.
How to Create a Featured Entrepreneur Article, Personal Bio, and Company Bio Using AI — the standard operating procedure for creating three core content pieces for any client: a featured entrepreneur article, a personal biography, and a company biography. This is the template that feeds personal brand site builds across the network.
Local Falcon: How We Caught Google Changing Our Client’s Business Hours — documenting how the team uses Local Falcon’s geo-grid scanning to monitor Google Business Profiles, catch unauthorized changes, and track local rankings. The article shows the monitoring layer that supports every local service business site we build.
How Ethan Van De Hey and George Paladichuk Prove the Power of Mentorship in the AI Apprentice Program — a behind-the-scenes look at the AI Apprentice program that trains the agents building many of the sites on this list. The article documents the mentorship structure, peer coaching model, and networking approach that makes the Content Factory scale.
Don’t Create Content: Build Trust and Grow Your Local Business by Capturing Real Moments — the philosophy behind every site build on this page. Rather than manufacturing content, the Content Factory process captures authentic moments from real businesses and repurposes them into videos, articles, and social posts that build trust and drive local SEO results.
Hooray! We’re Coming to Film On-Site — the on-site filming playbook that produces the raw video content feeding many of the article builds above. This article explains the four-stage Content Factory process from the client’s perspective, covering what to expect when the team arrives to capture behind-the-scenes content.
How to Frame Clients Positively in Articles While Repurposing Content — the editorial guidelines agents follow when repurposing video content into articles that honor the people in them. This guide ensures every article built through the Content Factory process highlights client strengths and positions them as authorities in their industry.
Create Content That Speaks from Real Life — Dennis Yu’s guide to capturing authentic moments that become the raw material for Content Factory builds. The article explains why real-life content outperforms manufactured content and how to systematically capture it for repurposing into articles, social posts, and website pages.
Local Service Businesses: Here’s What To Expect Working With Us — the client-facing overview of the entire Content Factory process. This article walks local service business owners through every step of the engagement, from on-site filming through content creation, SEO optimization, and ongoing performance tracking.
The pattern is the same across every build. The niche changes, the person changes, the starting point changes — but the process documented in this article stays consistent. As we publish more meta-articles, they will be added here.
Every meta-article is a leaf on the SEO Tree — linking back to its parent definitive article so that each new example strengthens the branch it belongs to rather than floating in isolation.
SEO Audits and Strategy Documentation
We maintain a separate comprehensive article that lists every SEO audit we have published — covering real estate, plumbing, roofing, churches, home care, power washing, property management, and dozens more industries. That article and this one are designed to work together: this page documents how we build and enhance sites, while the SEO audits article documents how we diagnose and strategize. Read the full collection of SEO audit examples in our How AI Agents Score and Fix Local Business Websites in Minutes article, which lists audits for companies like C&S Real Estate, Bend Relo, Singlemalt.ph, Kreizer Law, A Place At Home, Clear Water Prowash, Red Fortress Property Management, and many more.
Ready to see this process in action? Read how we apply these principles when writing articles that honor someone, or review the full BlitzMetrics blog posting guidelines to understand the quality standards every article must meet.
Many of these meta-articles document personal branding projects where we repurpose one-minute videos into articles, run SEO audits to prioritize fixes, and set up the Thank You Machine to generate authentic testimonials. Each meta-article should link back to the definitive article for whichever process it documents.
Every meta-article produced by this prompt feeds into the Content Factory pipeline and must follow the Entity Linking decision tree when referencing people, businesses, and BlitzMetrics concepts. The documentation captured by meta-articles strengthens every branch of the SEO Tree — from Digital Plumbing setups to Knowledge Panel builds.
Dennis Yu
Dennis Yu is the CEO of Local Service Spotlight, a platform that amplifies the reputations of contractors and local service businesses using the Content Factory process. He is a former search engine engineer who has spent a billion dollars on Google and Facebook ads for Nike, Quiznos, Ashley Furniture, Red Bull, State Farm, and other brands.
Dennis has achieved 25% of his goal of creating a million digital marketing jobs by partnering with universities, professional organizations, and agencies. Through Local Service Spotlight, he teaches the Dollar a Day strategy and Content Factory training to help local service businesses enhance their existing local reputation and make the phone ring.
Dennis coaches young adult agency owners serving plumbers, AC technicians, landscapers, roofers, electricians, and believes there should be a standard in measuring local marketing efforts, much like doctors and plumbers must be certified.