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@93b720e
by Agrici.Danielagricidaniel/claude-seo18k stars
2,665

FLOW framework integration: evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). Use when user says "FLOW", "FLOW framework", "seo flow", "evidence-led SEO", "find leverage optimize win", or wants stage-specific SEO prompts.

Use this Skill: https://skilld.dev/gh/agricidaniel/claude-seo/seo-flow

This session only. Nothing lands on disk.

referencespromptswinbofu-page-brief-generator.md

≈560 tokens on demand. Your agent reads this file only when SKILL.md points to it.

<!-- Source: github.com/AgriciDaniel/flow | License: CC BY 4.0 | Synced: 2026-04-26 -->

title: "BOFU Page Brief Generator" description: "BOFU Page Brief Generator" updated: 2026-04-25 tags:

  • prompts
  • win

BOFU Page Brief Generator

Use This When

Use this when you need a bottom-funnel page brief for a service, product, location, comparison, pricing, demo, or lead-capture page.

AI Compatibility

Claude, GPT, Gemini, and other long-context models. Works best with current customer language and conversion evidence.

Inputs

  • Offer, service, or product.
  • Target audience and segment.
  • Buying-stage intent.
  • Known objections or hesitation points.
  • Customer language from calls, chats, reviews, or surveys.
  • Conversion goal.
  • Required proof points.
  • Existing page text, if any.

Prompt

Create a bottom-funnel page brief for [offer] targeting [audience].

Use only the inputs provided. Build the brief around what this audience needs to decide.

Analyze:
1. The immediate problem the visitor is trying to solve.
2. The decision factors they likely need before converting.
3. Objections, hesitation points, and missing clarity.
4. Customer-language phrases that should appear naturally.
5. Proof needed to support trust.
6. CTA angle and page sections needed to reduce friction.

Return: page goal, search/conversion intent, primary audience, buyer questions, objections, recommended H1, section outline, proof points, CTA strategy, FAQ topics, and tracking notes for form, call, chat, and qualified-lead measurement. Flag missing inputs.

Output

  • A structured Win-stage working document.
  • Prioritized recommendations.
  • Evidence and measurement gaps.
  • Claims or assumptions that require verification.

Example

Input: commercial repair page for facility managers with objections around response time, weekend availability, and pricing clarity. Output: a brief emphasizing urgency, service coverage, decision criteria, proof, FAQs, and call/form tracking.

See Also

Source Note

Derived from SEJ State of SEO 2026, SEJ B2B Lead Generation, and CallRail/SEJ Better Leads More Sales 2025.

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub1d

    The skill is a comprehensive SEO framework that uses structured prompts for analysis. It includes a synchronization feature to update its knowledge base from the author's GitHub repository. A low-risk surface for indirect prompt injection exists where user-provided URLs or topics are processed by AI models without explicit sanitization, though the prompts include instructions to limit output to provided evidence.

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    Risk: LOW · No issues

Signed by skilld at 93b720e. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 days ago.

Activeupdated 3 days ago
user-invocable
true
argument-hint
[stage] [url|topic]
metadata
{
  "author": "AgriciDaniel",
  "version": "2.4.1",
  "category": "seo"
}

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