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Hi, everyone, my name is Sandy Griffin.
I'm an SEO account manager at Seer Interactive,
and I'm here to hopefully solve one of your problems,
specifically the problem of clients
not having the resources
to implement your SEO recommendations,
specifically your content recommendations.
So I'm sure you've experienced this before.
It's a really tough thing to overcome.
Your client probably hired you
because they don't have a lot of time
on their hands as it is.
So getting them to implement content on their site
that will help improve their site,
but requires their resources to get it up there,
AI-generated overview
Sandy Griffin presents a structured ChatGPT prompt framework that converts SEO content outlines into draft blog posts when clients lack writing resources. The four-stage process: (1) Overview prompt establishing role ("I'm an expert in real estate"), company context, and expectations ("I don't want the entire blog post yet"); (2) Global instructions covering audience, word count, tone, sources (competitor URLs), and keyword list; (3) Section-by-section prompts with specific header instructions, competitive inspiration, and keyword targeting; (4) Assembly request pulling all sections into one post with keyword usage highlighted. Critical caveat: ChatGPT provides "broad base of knowledge" averaging existing content, risking the "sea of sameness" problem—Will Reynolds' research showed expertise-driven content ignoring competitors outperformed SEO-optimized average content. Griffin emphasizes this produces "first drafts" requiring heavy SME editing to inject proprietary expertise, with notes reminding reviewers "this is a starting point of generally accepted practice" needing expert additions. The approach uses only public data (competitor URLs) to respect client AI policies prohibiting proprietary data in external tools.
The multi-stage prompt structure (overview → global guidelines → section instructions → assembly) prevents ChatGPT from generating content prematurely, ensuring it "understands before moving forward" with context rather than jumping to output.
ChatGPT is "not going to be as expert level as if a true SME at your client's company wrote it"—explicitly acknowledging the "sea of sameness problem" where AI averages existing content rather than introducing novel expertise.
Will Reynolds' research found expertise-driven pages that "ignored what everyone else was doing" and "plugged in his true expertise" actually outperformed SEO-optimized content, demonstrating the risk of averaging competitor approaches.
The framework uses "only public data" (competitor URLs, keyword research) to comply with client AI policies prohibiting proprietary data input, with options to "completely exclude the client's name and all URLs" if needed.
🔍 About This Video: Are you facing a backlog of content recommendations? In this video, Sandi demonstrates how to utilize ChatGPT to generate initial content drafts in order to streamline the writing process and implement content recommendations efficiently. 📊 Tools & Resources: ChatGPT Conversation: https://chatgpt.com/share/e/593e4528-6ee3-4c0a-843d-5faf486a7ae9 Sea of Sameness Problem: https://www.seerinteractive.com/insights/the-sea-of-sameness-problem-in-content-marketing-seo Timestamps: 00:00 - Introduction & Caveats 03:55 - Content Outline Overview 04:55 - Using Content Outlines for AI Prompts 05:20 - AI Prompt Sections & Best Practices 11:10 - Finalizing the Blog Post 12:40 - Final Thoughts & Recommendations 💡 Have Suggestions or Questions? Your feedback is invaluable. Share your ideas for updates or any questions in the comments section below! 👍 Like, Comment, and Subscribe! Enjoyed the video? Make sure to like, comment, and subscribe for more helpful guides and insigh