Source: ai-research/mega-prompt-chest-2026-05-02.md (docs.google.com/document/d/16Rwd1kgHikLjCvzk_awH9FAIXJMkT_UUno6tEd0Lhog, fetched 2026-05-02; ~2,000 lines, ~120 prompts; no byline in source)

A 17-section Google Doc compilation of ~120 marketing, SEO, content, and business-strategy prompts. Released without author attribution and shared via “anyone with the link” preview URL. Mixed quality — some entries are 110-line frameworks with output schemas, others are two-line one-shots. The good ones are good; the catalog itself is more browseable than authoritative. Joins this topic’s other applied prompt libraries (Winston / Godin / LinkedIn / LinkedIn Funnel) as a broader, looser starting menu rather than a focused playbook.

Key Takeaways

  • Scope. 17 sections: Deep Target SEO & Keyword Research (16 prompts), Content Creation & Blog Writing (8), SEO Content Optimization (6), Technical SEO (7), Local SEO (4), On-Page Optimization (7), Email Marketing (7), Landing Pages & Sales Copy (4), Market Research & Strategy (~21), Competitor Analysis (7), SEO Reporting & Analytics (4), Advanced & Unconventional SEO (6), Content Analysis & Optimization (2), Case Studies (4), Business Strategy & Growth (1), Micro SaaS Builders (1), Lead Magnets (3).
  • Tool-agnostic by default. Most prompts work in any chat surface (claude.ai, ChatGPT, Gemini). Five entries are platform-specific: Competitor Content Analysis [NOTEBOOKLM] and Authority Miner assume a NotebookLM project with sources loaded; three Case Study prompts are written as customGPT instructions; MANUS CHROME EXTENSION is a one-liner Manus playbook reference; Hardback Book Mockup is an image-generation template (works with any image model).
  • Quality range is wide. “Alphabet Soup Method Keywords” is a one-line trick (“Suggest keyword ideas beginning with ‘a,’ then ‘b,’ then ‘c’…”). On the other end, The 3-Pillar Authority Accelerator is a 110-line strategist-grade prompt: deep competitor research → 3 topical-authority pillars → 12-month content roadmap with at least 10 articles per pillar, plus a final spreadsheet-ready table. Forensic Psychology Analysis is the other standout — a 4-layer framework (Surface Language → Hierarchy Mapping → Temporal Analysis → Competitive Intelligence) that outputs a Customer DNA Profile with 3 Psychological Tripwires and a “Vernacular Goldmine” of exact-phrase quotes pulled from source text.
  • Heavy SEO bias. The first ~80 prompts and the entire “Advanced & Unconventional” + “Reporting” + “Competitor Analysis” sections are SEO-driven. Marketing/content prompts are framed for organic search rather than paid acquisition (no Meta/Google Ads prompts; the Meta Ads CLI handles that surface separately).
  • “Deep Target” framing. Coined throughout the SEO section for bottom-funnel, commercial-intent keyword work. Not a published methodology — just a recurring frame across ~7 prompts that ask the model to reframe a product into specific buyer scenarios, demographics, and urgency triggers (e.g., “Emergency/Urgent Situation Keywords”).
  • Templated input slots. Every prompt uses bracketed placeholders ([YOUR PRODUCT], [KEYWORD], [INDUSTRY], [COMPETITOR LIST]) — the standard fill-in-the-blank template style. None use XML tags or structured <role>/<task>/<output> schemas like the Winston library. Conversational-prose with bullet lists is the dominant syntax.

Distinctive Prompts Worth Lifting

These are the entries that justify the doc’s existence — the others are largely interchangeable with what any LLM would generate from the section title alone.

  • The 3-Pillar Authority Accelerator (Market Research & Strategy section, ~110 lines). Most ambitious prompt in the doc. Inputs: client niche + 3+ competitor URLs. Outputs: competitive landscape summary, 3 authority pillars with justification, 12-month month-by-month roadmap, and a full content list table with columns for Pillar / Title / Primary Keyword / Intent / Angle / Internal Links / Priority Score. Worth reading even if you don’t run it — it’s a template for how to structure any “give me a roadmap” prompt with deliverable format constraints.
  • Forensic Psychology Analysis (Market Research & Strategy). 4-layer framework for analyzing Reddit posts, reviews, or job listings to extract buying psychology. Output schema is unusually detailed: Customer DNA Profile, 3 Psychological Tripwires (each with mechanism + usage), Vernacular Goldmine (exact quotes), Emotional Intensity Map, Contradiction Analysis. Pairs naturally with the LinkedIn Funnel Reddit ICP-research step.
  • SEO Topical Map & Keyword Clustering. Takes ~1,000 keywords + business context, outputs a spreadsheet-ready table with Pillar / Subtopic / Target Keyword / Search Intent / Page Type / Business Goal Alignment / Priority. Quality bar in the prompt: “Think like an SEO lead building a 12-18 month content roadmap, not a keyword dumping exercise.” Direct analog to FLUQs outputs but built for agencies running general SEO, not the FLUQs-style AEO/AI-search framing.
  • Authority Miner (Borrow Credibility). NotebookLM-specific. Loads influential people’s content as source material, then has the model build an SEO content plan that “borrows credibility by association.” Writeup includes specific instructions for NotebookLM’s source-grounded mode. Cross-applies to any RAG-style setup where you want output anchored to specific reference texts.
  • Customer Persona Developer. ~60-line prompt that produces a multi-layer persona doc: demographics, psychographics, day-in-the-life, decision criteria, objections, content preferences, channels. Useful as a starting frame even if the Onboarding course’s Smile Springs Family Dental worked example shows a more concrete way to operationalize personas.
  • Hardback Book Mockup. Image-generation template for lead-magnet covers. Spec’d for portrait-orientation hardback, with placeholders for title, subtitle, design theme, color palette, optional badges (✅ AI-Ready). Pairs with Brandon Storey’s lead magnet pipeline — that course covers production-side; this prompt covers cover-design side.
  • New Age App Lead Magnets. Generates 15 micro-tool ideas (calculators, quizzes, checklists, generators) sized to deliver value in <5 min, naturally feeding a paid offer. Output is a 5-column table. Sits upstream of the AI Marketing lead-magnet flow as the brainstorm step.

Caveats

  • Anonymous source. No byline, no provenance for the methodology behind the “Deep Target” framing or the Forensic Psychology layers. Treat the frameworks as reasonable starting structures, not researched playbooks. Confidence: medium until the patterns are stress-tested against real agency work.
  • Mixed maturity. Section sizes are uneven (Market Research has ~21 prompts; Business Strategy has 1). Some prompts duplicate each other across sections (multiple “competitor gap analysis” variants).
  • No measurement. None of the prompts include “verify by…” or “check against…” steps. Pair with the troubleshooting reference — especially the hallucination + drift sections — when running the longer frameworks against client data.
  • Bracket-template style is dated. Modern Anthropic prompting practice (see Anthropic’s Prompting Best Practices and the OpenAI GPT-5 guide cross-vendor lessons) leans on XML structure tags, explicit output schemas, and self-rubric prompting. The MEGA PROMPT CHEST entries can be upgraded by re-wrapping high-value ones in <role>/<task>/<rules>/<output> skeletons before saving as Projects/Skills.

Try It

If you only run two prompts from this catalog, run these:

  1. The 3-Pillar Authority Accelerator against a real WEO client. Paste the client’s niche + 3 competitor URLs. Expect the 12-month roadmap output to need editing — the value is the structured analysis, not the article-title generation. Measure against Blog-Agent-Worker’s actual content output to see what gets through to ranking.
  2. Forensic Psychology Analysis on a 30-comment Reddit thread or 50 G2 reviews of a competitor. Output gives you copy-ready phrases and a tripwire list — feed those directly into the Reddit ICP step of the LinkedIn Funnel or into lead-magnet hooks.

For team adoption, consider promoting the 5-6 distinctive prompts above into named Claude skills (or claude.ai Projects) so they live as reusable artifacts with the right model + system prompt baked in, rather than copy-paste-from-a-Doc artifacts that decay. The Intermediate Course Module 1 (“Prompts as Reusable Artifacts”) covers the conversion process.

Open Questions

  • Author / provenance. Who compiled this and when? The “Deep Target” framing is consistent enough to suggest a single author or small team, but the doc carries no byline. Worth backtracing if it’s needed for citation.
  • Effectiveness data. No A/B results, no case-study attribution. The 3-Pillar Authority Accelerator’s claimed methodology is plausible but unmeasured here.
  • Drift in distribution. The Google Doc URL is preview-mode shareable — no version control or update notification. If the doc changes, this article won’t catch it. Candidate for the watchlist if it becomes a load-bearing reference.