diff --git a/prompts.txt b/prompts.txt new file mode 100644 index 00000000..59bbdf6f --- /dev/null +++ b/prompts.txt @@ -0,0 +1,238 @@ + +1. Clusteirng Prompt + +You are a semantic strategist and SEO architecture engine. Your task is to analyze the provided keyword list and group them into meaningful, intent-driven topic clusters that reflect how real users search, think, and act online. + +Return a single JSON object with a "clusters" array. Each cluster must follow this structure: + +{ + "name": "[Descriptive cluster name — natural, SEO-relevant, clearly expressing the topic]", + "description": "[1–2 concise sentences explaining what this cluster covers and why these keywords belong together]", + "keywords": ["keyword 1", "keyword 2", "keyword 3", "..."] +} + +CLUSTERING STRATEGY: + +1. Keyword-first, structure-follows: + - Do NOT rely on assumed categories or existing content structures. + - Begin purely from the meaning, intent, and behavioral connection between keywords. + +2. Use multi-dimensional grouping logic: + - Group keywords by these behavioral dimensions: + • Search Intent → informational, commercial, transactional, navigational + • Use-Case or Problem → what the user is trying to achieve or solve + • Function or Feature → how something works or what it does + • Persona or Audience → who the content or product serves + • Context → location, time, season, platform, or device + - Combine 2–3 dimensions naturally where they make sense. + +3. Model real search behavior: + - Favor clusters that form natural user journeys such as: + • Problem ➝ Solution + • General ➝ Specific + • Product ➝ Use-case + • Buyer ➝ Benefit + • Tool ➝ Function + • Task ➝ Method + - Each cluster should feel like a real topic hub users would explore in depth. + +4. Avoid superficial groupings: + - Do not cluster keywords just because they share words. + - Do not force-fit outliers or unrelated keywords. + - Exclude keywords that don’t logically connect to any cluster. + +5. Quality rules: + - Each cluster should include between 3–10 strongly related keywords. + - Never duplicate a keyword across multiple clusters. + - Prioritize semantic strength, search intent, and usefulness for SEO-driven content structure. + - It’s better to output fewer, high-quality clusters than many weak or shallow ones. + +INPUT FORMAT: +{ + "keywords": [IGNY8_KEYWORDS] +} + +OUTPUT FORMAT: +Return ONLY the final JSON object in this format: +{ + "clusters": [ + { + "name": "...", + "description": "...", + "keywords": ["...", "...", "..."] + } + ] +} + +Do not include any explanations, text, or commentary outside the JSON output. + + +++++++++++++++++++++++++++++++++++++++ + +2. Ideas Generation Prompt + +Generate SEO-optimized, high-quality content ideas and outlines for each keyword cluster. +Input: +Clusters: [IGNY8_CLUSTERS] +Keywords: [IGNY8_CLUSTER_KEYWORDS] + +Output: JSON with "ideas" array. +Each cluster → 1 cluster_hub + 2–4 supporting ideas. +Each idea must include: +title, description, content_type, content_structure, cluster_id, estimated_word_count (1500–2200), and covered_keywords. + +Outline Rules: + +Intro: 1 hook (30–40 words) + 2 intro paragraphs (50–60 words each). + +5–8 H2 sections, each with 2–3 H3s. + +Each H2 ≈ 250–300 words, mixed content (paragraphs, lists, tables, blockquotes). + +Vary section format and tone; no bullets or lists at start. + +Tables have columns; blockquotes = expert POV or data insight. + +Use depth, examples, and real context. + +Avoid repetitive structure. + +Tone: Professional editorial flow. No generic phrasing. Use varied sentence openings and realistic examples. + +Output JSON Example: + +{ + "ideas": [ + { + "title": "Best Organic Cotton Duvet Covers for All Seasons", + "description": { + "introduction": { + "hook": "Transform your sleep with organic cotton that blends comfort and sustainability.", + "paragraphs": [ + {"content_type": "paragraph", "details": "Overview of organic cotton's rise in bedding industry."}, + {"content_type": "paragraph", "details": "Why consumers prefer organic bedding over synthetic alternatives."} + ] + }, + "H2": [ + { + "heading": "Why Choose Organic Cotton for Bedding?", + "subsections": [ + {"subheading": "Health and Skin Benefits", "content_type": "paragraph", "details": "Discuss hypoallergenic and chemical-free aspects."}, + {"subheading": "Environmental Sustainability", "content_type": "list", "details": "Eco benefits like low water use, no pesticides."}, + {"subheading": "Long-Term Cost Savings", "content_type": "table", "details": "Compare durability and pricing over time."} + ] + } + ] + }, + "content_type": "post", + "content_structure": "review", + "cluster_id": 12, + "estimated_word_count": 1800, + "covered_keywords": "organic duvet covers, eco-friendly bedding, sustainable sheets" + } + ] +} + +================================================== + +3. Content Generation Prompt + +You are an editorial content strategist. Your task is to generate a complete JSON response object that includes all the fields listed below, based on the provided content idea, keyword cluster, and keyword list. + +Only the `content` field should contain HTML inside JSON onject. + +================== +Generate a complete JSON response object matching this structure: +================== + +{ + "title": "[Blog title using the primary keyword — full sentence case]", + "meta_title": "[Meta title under 60 characters — natural, optimized, and compelling]", + "meta_description": "[Meta description under 160 characters — clear and enticing summary]", + "content": "[HTML content — full editorial structure with

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