googleupdate

## Comprehensive Query Fan-Out Prompt: Patent-Aligned Algorithm Implementation


### Understanding Query Fan-Out: The Technical Framework


Query fan-out is a sophisticated multi-stage process where search engines decompose a user's query through several algorithmic steps:


### Input Requirements
1. **Primary Query**: [schema, schema seo, json ld schema] 
2. **User Context**: [Beginner/Intermediate/Expert | Industry | Geographic location]
3. **Business Objective**: [Information | Transaction | Navigation | Investigation] 


1. **Initial Query Decomposition**: The system identifies the core semantic components and entities within the query
2. **Thematic Clustering**: Components are grouped into distinct themes based on semantic relationships
3. **Hierarchical Expansion**: Each theme generates sub-themes and related concepts in a tree structure
4. **Contextual Rewriting**: Queries are reformulated based on user context and implicit intent 
5. **Entity Disambiguation**: The system maps query components to Knowledge Graph entities
6. **Ranking and Filtering**: Generated queries are scored and filtered based on relevance signals


### Detailed Query Fan-Out Algorithm


#### Stage 1: Query Decomposition & Entity Recognition


**Break the query into semantic components:**
- **Entities**: Identify all named entities (people, places, products, concepts)
- **Attributes**: Extract descriptive properties (size, color, quality, temporal)
- **Relationships**: Map connections between entities (comparisons, dependencies, hierarchies)
- **Actions/Intents**: Identify verbs and implied actions


Example: "best sustainable marketing strategies for small e-commerce"
- Entities: [marketing strategies, e-commerce]
- Attributes: [best, sustainable, small]
- Relationships: [strategies FOR e-commerce]
- Intent: [evaluation/selection]


#### Stage 2: Thematic Clustering with Semantic Boundaries


**Generate 3-5 primary themes where each theme:**
- Represents a distinct informational facet
- Has defined semantic boundaries (what's included/excluded)
- Contains a "centroid" concept (most representative element)
- Includes "peripheral" concepts (boundary elements)


**Theme Generation Rules:**
1. Each theme must address a different user need
2. Themes should have 30-70% semantic overlap with seed query
3. Create both "convergent" themes (narrowing focus) and "divergent" themes (broadening scope)


#### Stage 3: Hierarchical Query Tree Construction


For each theme, build a query tree with these levels:


**Level 1 - Root Queries** (Direct theme representation)
- Most general form of the theme
- Example: "sustainable marketing methods"


**Level 2 - Aspect Queries** (Specific facets)
- Break root into 3-4 distinct aspects
- Example: "environmental impact of digital marketing"


**Level 3 - Detail Queries** (Granular questions)
- Specific, actionable queries
- Example: "carbon footprint of email campaigns calculation"


**Level 4 - Context Queries** (Situational variations)
- Modified by user context
- Example: "email carbon footprint for B2B SaaS companies"


#### Stage 4: Query Rewriting Mechanisms


Apply these rewriting patterns to each base query:


**1. Lexical Substitution**
- Replace terms with synonyms/related terms
- "strategies" → "tactics", "approaches", "methods"


**2. Structural Reformulation**
- Statement → Question: "sustainable marketing" → "what makes marketing sustainable?"
- Broad → Specific: "marketing strategies" → "content marketing strategies"
- Abstract → Concrete: "best practices" → "step-by-step guide"


**3. Intent Transformation**
- Information → Action: "what is X" → "how to implement X"
- General → Comparative: "good strategies" → "X vs Y strategies"
- Single → Multiple: "best strategy" → "top 5 strategies"


**4. Contextual Augmentation**
- Add temporal context: "...in 2024", "...post-COVID"
- Add expertise level: "...for beginners", "...advanced techniques"
- Add industry specific: "...for SaaS", "...in healthcare"


#### Stage 5: Entity-Based Expansion


**Knowledge Graph Integration:**
1. Map each entity to its knowledge graph node
2. Retrieve related entities (parent, child, sibling relationships)
3. Extract entity attributes and properties
4. Generate queries combining entities and attributes


**Entity Relationship Patterns:**
- **Hierarchical**: broader/narrower terms
- **Associative**: commonly co-occurring entities
- **Comparative**: similar entities for comparison
- **Compositional**: part-whole relationships


#### Stage 6: Scoring and Ranking


**Apply multi-factor scoring to each generated query:**


```
Priority Score = (0.30 × Semantic Relevance) + 
                 (0.25 × Intent Alignment) + 
                 (0.20 × Topic Coverage) + 
                 (0.15 × User Context Match) + 
                 (0.10 × Query Uniqueness)
```


**Where:**
- Semantic Relevance: Cosine similarity to seed query
- Intent Alignment: Match to specified user intent
- Topic Coverage: How much new information it adds
- User Context Match: Relevance to user's expertise/industry
- Query Uniqueness: Inverse of overlap with other queries


### Output Format


Generate a hierarchical structure showing the complete fan-out:


```
SEED QUERY: [Original Query]
│
├── THEME 1: [Theme Name]
│   ├── Centroid: [Most representative query]
│   ├── Root Query: [Level 1]
│   │   ├── Aspect 1: [Level 2]
│   │   │   ├── Detail Query 1: [Level 3]
│   │   │   │   └── Context Variation: [Level 4]
│   │   │   └── Detail Query 2: [Level 3]
│   │   └── Aspect 2: [Level 2]
│   │       └── Detail Query: [Level 3]
│   └── Entity Expansions:
│       ├── Related Entity 1: [Query]
│       └── Related Entity 2: [Query]
│
├── THEME 2: [Theme Name]
│   └── [Similar structure]
```


### Detailed Output Table


| Theme | Query Level | Query Text | Intent Type | Entity Focus | Semantic Distance | Priority Score | Reasoning |
|-------|------------|------------|-------------|--------------|-------------------|----------------|-----------|
| [Theme] | [L1/L2/L3/L4] | [Query] | [Intent] | [Entities] | [0-1 score] | [1-10] | [Why this score] |


### Advanced Pattern Requirements


**1. Query Chains** (Sequential Dependencies)
- Create sequences where Query N+1 naturally follows Query N
- Example: "What is X?" → "Why is X important?" → "How to measure X?" → "Tools for X"


**2. Faceted Exploration**
- Generate queries exploring different facets simultaneously
- Facets: Cost, Time, Quality, Difficulty, Alternatives


**3. Disambiguation Queries**
- When entities have multiple meanings, generate clarifying queries
- Example: "Python" → "Python programming" vs "Python snake"


**4. Composite Queries**
- Combine multiple entities/intents in single queries
- Example: "compare [Entity A] and [Entity B] for [Use Case]"


### Validation Requirements


Ensure the fan-out structure:
- [ ] Contains 40-60 total queries across all themes
- [ ] Has clear hierarchical depth (4 levels)
- [ ] Shows explicit entity relationships
- [ ] Includes both convergent and divergent expansions
- [ ] Demonstrates contextual variations
- [ ] Maintains semantic coherence within themes
- [ ] Shows natural query progressions
- [ ] Covers multiple user intents


## OUTPUT FORMATTING REQUIREMENTS


**CRITICAL: Generate fan-out queries as article headings structure for SEO content creation:**


### Content Context
The fan-out queries should be formatted as **article headings (H2/H3 tags)** that would comprehensively cover the seed keyword topic in a well-structured article. Think of this as creating a complete article outline where each query becomes a section heading.


### Output Structure
Present the fan-out queries as article heading hierarchy:


```
ARTICLE STRUCTURE FOR: [seed keyword]
Target: [original query] | Sections: [X] | Word Count Estimate: [X]


## [H2 Main Section - Theme 1]
### [H3 Subsection]
### [H3 Subsection]
### [H3 Subsection]


## [H2 Main Section - Theme 2]
### [H3 Subsection]
### [H3 Subsection]
### [H3 Subsection]


## [H2 Main Section - Theme 3]
### [H3 Subsection]
### [H3 Subsection]
### [H3 Subsection]


## [H2 Main Section - Theme 4]
### [H3 Subsection]
### [H3 Subsection]
### [H3 Subsection]


🔗 **CONTENT FLOW** (Sequential article progression)
• [H2 section] → [H2 section] → [H2 section]
• [H3 subsection] → [H3 subsection] → [H3 subsection]
```


### Heading Requirements
- **H2 headings**: Broad theme-based sections (4-6 sections)
- **H3 headings**: Specific subtopics under each H2 (3-5 per H2)
- **Natural language**: Write as actual article headings, not keyword stuffing
- **SEO optimized**: Include target keywords naturally in headings
- **Logical flow**: Headings should follow a natural article progression
- **User intent**: Each heading addresses specific user questions/needs


### Formatting Rules
- **Keep all reasoning and algorithmic steps** - execute the full 6-stage process without displaying
- **Output fan out queries as headings as they would appear in an actual article**
- **Use proper markdown heading syntax (## for H2, ### for H3)**
- **Maximum 25-30 total headings**
- **4-6 H2 sections with 3-5 H3s each. Add numbers in front of for easier scannability**
- **Include content flow showing logical article progression**
- **Headings should be actionable and specific**
-**Generate your analysis following each phase sequentially. Focus on delivering  your primary output - keep analysis internal and present only the final actionable results**

# Content Optimization for Query Fan-Out


## Input Requirements
1. **Existing Content**: [PASTE YOUR CONTENT HERE]
2. **Primary Topic/Keyword**: [MAIN SUBJECT OF YOUR CONTENT]
3. **Target Audience**: [Beginner/Intermediate/Expert | Industry]
4. **Content Goal**: [Inform/Convert/Compare/Guide]


## Automated Query Fan-Out Analysis Process


### Stage 1: Content Decomposition & Entity Extraction
From your provided content, the system will:
- **Extract Primary Entities**: Identify main concepts, products, services, or topics discussed
- **Identify Attributes**: Find descriptive elements (quality, size, time, cost)
- **Map Relationships**: Discover how concepts connect within your content
- **Detect Intent Signals**: Recognize what actions or outcomes your content promotes


### Stage 2: Generate Query Fan-Out from Content
Based on your content's entities and themes, generate the likely query landscape:


#### 2.1 Theme Identification 
Extract 3-5 core themes from your content:
- Each theme = distinct topic cluster within content
- Themes derived from your headings, repeated concepts, and semantic groupings


#### 2.2 Hierarchical Query Generation 
For each identified theme, create:
- **Level 1**: Broad queries about the theme
- **Level 2**: Specific aspects users would ask
- **Level 3**: Detailed implementation questions
- **Level 4**: Contextual variations for different users


#### 2.3 Query Patterns to Generate
- **Direct Questions**: What your content explicitly answers
- **Implied Questions**: What users would ask next after reading
- **Gap Questions**: Related queries your content should address
- **Bridge Questions**: Connections between your themes


### Stage 3: Coverage Analysis


#### 3.1 Query-Content Matching 
For each generated query, assess:
- **Fully Addressed**: Query has dedicated content
- **Partially Addressed**: Query mentioned but not detailed
- **Not Addressed**: Query missing from content


#### 3.2 Semantic Depth Scoring 
Evaluate how thoroughly each theme is covered:
- **Surface level** (definitions only): 1-3
- **Moderate depth** (explanations): 4-6
- **Comprehensive** (actionable details): 7-9
- **Expert level** (nuanced insights): 10


### Stage 4: Gap Identification & Prioritization


#### 4.1 Critical Gaps (Must Address)
- Centroid queries of main themes not covered
- Basic "what is" questions unanswered
- Primary entity relationships missing
- User intent misalignment


#### 4.2 Opportunity Gaps (Should Address)
- Comparison queries not covered
- How-to/implementation details missing
- Alternative solutions not discussed
- Common problems/objections unaddressed


#### 4.3 Enhancement Gaps (Could Address)
- Advanced use cases
- Edge cases and exceptions
- Industry-specific variations
- Future trends/predictions


## OUTPUT FORMATTING REQUIREMENTS


**CRITICAL: Generate optimized content outline as article headings structure that addresses all identified query gaps:**


### Content Context
The output should be formatted as an **improved article outline (H2/H3 tags)** that comprehensively covers both existing content and identified gaps. This creates an SEO-optimized content structure that targets all relevant fan-out queries.


### Output Structure
Present the optimized content outline as article heading hierarchy:


```
OPTIMIZED CONTENT OUTLINE FOR: [primary topic]
Original Content: [X] sections | Optimized: [X] sections | New Coverage: [X] query gaps


## [H2 Current Section - Enhanced]
### [H3 Existing subsection - maintained]
### [H3 NEW: Missing query coverage]
### [H3 NEW: Gap query addressing [specific query]]


## [H2 NEW: Major theme missing from original]
### [H3 Foundational query: "What is..."]
### [H3 Implementation query: "How to..."]
### [H3 Comparison query: "X vs Y"]


## [H2 Current Section - Expanded]
### [H3 Existing subsection - maintained]
### [H3 NEW: Advanced use case]
### [H3 NEW: Troubleshooting common problems]


## [H2 NEW: User journey completion]
### [H3 Decision criteria]
### [H3 Implementation checklist]
### [H3 Success metrics]


 **CONTENT FLOW** (Logical article progression)
• [H2 section] → [addresses gap] → [H2 section]
• [H3 subsection] → [bridges to] → [H3 subsection]
```


### Heading Requirements
- **H2 headings**: Enhanced existing sections + new gap-filling sections
- **H3 headings**: Specific queries that weren't covered + maintained existing content
- **Gap indicators**: Mark new sections addressing identified query gaps
- **Natural language**: Write as actual article headings for user readability
- **SEO optimized**: Include target keywords and related query terms naturally
- **Logical flow**: Maintain content progression while filling gaps
- **User intent**: Each heading addresses specific identified missing queries


### Formatting Rules
- **Keep all reasoning and algorithmic steps** - execute the full 4-stage process
- **Output fan out queries as headings as they would appear in an actual article**
- **4-6 H2 sections with 3-5 H3s each. Add numbers in front of for easier scannability**
- **Mark new sections** that address identified gaps
- **Maintain existing sections** that already cover queries well
- **Maximum 20-25 total headings** for comprehensive but manageable outline
- **Include content flow showing how sections connect logically**
- **Focus on query coverage completeness** ensuring no major gaps remain

[Input Data] Keyword export CSV: [PASTE YOUR CSV DATA WITH KEYWORDS AND SEARCH VOLUMES OR ATTACH AS A FILE] Current site structure: [LIST YOUR MAIN PAGES/CATEGORIES]
[Goal Description] Given a keyword export [CSV], group terms into clusters mapped to pages. Highlight clusters that represent strategic opportunities. Note: When export already includes search volumes from the tool, no extra validation step is required.
[Task Description] Analyze the keyword list and group semantically related terms into clusters. Map each cluster to existing pages or identify needs for new pages. Calculate opportunity scores based on combined search volume, competition indicators (if available), and business relevance. Prioritize clusters that represent untapped or high-value opportunities.
[Output Format] Deliver:
   * Keyword Clusters (grouped terms with total volume)
   * Page Mapping (cluster → existing page or "new page needed")
   * Opportunity Score (based on volume, competition, relevance)
   * Strategic Recommendations (top 5 clusters to pursue)
   * Cannibalization Warnings (overlapping clusters)

[Input Data] SERP data point 1: [PASTE SERP RANKINGS/SCREENSHOTS FROM DATE 1 OR ATTACH AS A FILE] SERP data point 2: [PASTE SERP RANKINGS/SCREENSHOTS FROM DATE 2 OR ATTACH AS A FILE] Target keyword: [INSERT YOUR KEYWORD]
[Goal Description] Compare SERPs at two points in time [data/screenshots] and summarize ranking shifts, new entrants, and drop-offs.
[Task Description] Analyze the two SERP snapshots to identify all position changes. Highlight significant movements (3+ positions), new domains appearing in the top 10, domains that dropped out, and any SERP feature changes. Provide strategic insights about what these movements suggest about algorithm updates or competitive landscape shifts.
[Output Format] Structure as:
   * Major Movers (domains with 3+ position changes)
   * New Entrants (weren't in the top 10 before)
   * Drop-offs (left the top 10)
   * SERP Feature Changes
   * Strategic Implications
   * Recommended Actions

Your task is to act as a SERP analyst, interpreting search engine results pages (SERPs) to provide a strategic, actionable content plan. The goal is to create content that not only ranks but also genuinely satisfies user needs and outperforms competitors. Your output must be comprehensive, structured, and directly actionable, leaving no room for ambiguity or hallucination.
Input Data:
   * Target Keyword: [INSERT YOUR KEYWORD]
   * Current SERP Data (Top 10 Results): [PASTE THE TOP 10 RESULTS, INCLUDING TITLES, DESCRIPTIONS, AND URLs OR ATTACH AS A FILE]
   * Optional: Contextual Information: [E.G., YOUR BRAND/WEBSITE, TARGET AUDIENCE, EXISTING CONTENT, OR UNIQUE SELLING PROPOSITION]
Task Instructions:
   1. Analyze the SERP: Examine the titles, meta descriptions, URLs, and the content formats (e.g., blog posts, product pages, reviews, "how-to" guides, landing pages) of the top 10 results. This analysis is crucial for understanding how Google has interpreted the user's intent. Pay close attention to any special content result blocks (SCRBs) or SERP features that are present.
   2. Identify Search Intent: Based on the SERP analysis, define the primary search intent. Classify it as one of the following, and provide a clear justification:
   * Informational ("Know"): The user is looking to learn, find an answer to a question, or explore a topic. This is the most common search intent and can range from simple facts to complex, in-depth topics.
   * Navigational ("Go"): The user is trying to find a specific website or brand (e.g., searching for "Facebook login").
   * Transactional ("Do"): The user intends to make a purchase or complete a specific action.
   * Commercial Investigation: The user is researching products or services before making a purchase (e.g., looking for "best running shoes").
   3. Identify Secondary Intent Signals: Look for other, less dominant user intents or interpretations that are also present in the SERP. For instance, a primarily informational SERP might also contain results that suggest a commercial investigation intent. These secondary signals are key to creating a comprehensive and highly satisfying page.
   4. Deconstruct Competitive Content: Analyze the common elements, formats, and patterns among the top-ranking pages to understand what currently satisfies users. Look for:
   * Content Type & Format: What is the predominant content type (e.g., a guide, a listicle, a product page)? What format is used (e.g., long-form text, video, tables)?
   * Page Elements: What specific sections or features appear repeatedly? This could include a table of contents, an FAQ section, comparison tables, calculators, or embedded videos.
   * E-E-A-T Signals: Look for evidence of Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T). For YMYL (Your Money or Your Life) topics, this is especially critical. Note how competitors establish their credentials (e.g., author bios, citations, expert reviews).
   5. Synthesize Recommendations: Based on a holistic analysis of the above, provide a structured and actionable content strategy. The recommendations should be specific enough to guide content creation directly.
Output Format:
Your output must be structured with the following sections, using clear and concise language.
   1. Primary Search Intent Classification:
   * State the dominant intent (e.g., "Informational").
   * Provide a brief justification based on the top-ranking results and the nature of the query.
   2. Secondary Intent Signals:
   * List any other relevant intents that are present in the SERP.
   * Provide examples from the SERP data that indicate these secondary intents.
   3. Required Page Elements (Must-Haves for Ranking):
   * Create a bulleted list of essential on-page elements. These are the content sections, features, and topics that are critical to include to compete effectively.
   * For example: "A detailed 'How-to' section with numbered steps," "A comparison table of key product features," "An FAQ section addressing common user questions (drawn from 'People Also Ask' boxes if present)."
   4. Content Format Recommendations:
   * Specify the ideal content format(s) for the new page (e.g., "Long-form blog post (2000+ words)," "Comprehensive buying guide," "Product landing page with detailed specifications").
   * Justify your recommendation by referencing the patterns and successful formats found in the competitive SERP.
   5. SERP Feature Opportunities:
   * Identify any SERP features (e.g., Featured Snippets, People Also Ask, Video Carousel, Local Pack, AI Overviews) that appear in the SERP data.
   * For each identified feature, suggest a specific content optimization strategy to increase the likelihood of winning that spot. For instance, "To target the Featured Snippet, include a concise, 50-word answer to the core query at the beginning of the content."
   6. Competitive Differentiators Needed:
   * Propose unique elements, content angles, or E-E-A-T signals that will make the new page stand out and offer a superior user experience compared to the top competitors. This section is about going beyond simply matching the SERP and providing true added value.
   * Examples could include: "Incorporate original research or a proprietary study," "Include an interactive tool or calculator," or "Feature a testimonial or quote from a recognized industry expert."

[Input Data] Industry/niche: [INSERT YOUR INDUSTRY] Target audience: [DESCRIBE YOUR AUDIENCE] Business goals: [LIST KEY OBJECTIVES] Known seasonal trends: [LIST ANY KNOWN PATTERNS]
[Goal Description] Generate themes for [industry/niche] considering seasonal trends and industry events.
[Task Description] Create a strategic 12-month content calendar with monthly themes that align with seasonal search trends, industry events, buying cycles, and business objectives. Include content types, target keywords themes, and promotional angles for each month.
[Output Format] Monthly breakdown including:
            * Month | Theme | Content Pillars (3) | Key Topics (5) | Seasonal Tie-ins | Industry Events | Content Types

[Input Data] Multiple page contents: [PASTE CONTENT FROM ALL PAGES TO EVALUATE OR ATTACH AS A FILE]  Current URLs: [LIST ALL URLS] Current rankings: [PROVIDE RANKING DATA FOR EACH OR ATTACH AS A FILE]
[Goal Description] Identify Redundancies [Paste multiple page contents]. Suggest a consolidation strategy.
[Task Description] Analyze all provided content for topical overlap, keyword cannibalization, and redundant information. Identify which pages should be consolidated, which should remain separate, and how to merge content while preserving SEO value. Consider redirect strategies and content migration paths.
[Output Format] Deliver:
            * Redundancy Matrix (overlap percentages)
            * Consolidation Recommendations (merge/keep/delete)
            * Primary Page Selection (which becomes the canonical)
            * Content Migration Map
            * Redirect Plan
            * Expected SEO Impact

[Input Data] Target keyword: [INSERT YOUR KEYWORD] Your content: [PASTE YOUR CONTENT OR ATTACH AS A FILE]
[Goal Description] Scrape Google first page for keyword [X], read all articles ranking on the first page, and evaluate how their content is better than my [paste content] and suggest improvements.
[Task Description] Analyze all first-page results for the target keyword. Compare their content structure, depth, unique insights, media usage, and user experience elements against your content. Identify specific elements that make competing content superior and provide actionable improvements.
[Output Format] Comparative analysis:
            * Top Ranking Factors (common elements in top results)
            * Content Gaps (what competitors cover that you don't)
            * Depth Analysis (word count, detail level)
            * Unique Elements (features you lack)
            * Improvement Priority List
            * Implementation Roadmap

[Input Data] Current meta title: [PASTE CURRENT TITLE] Current meta description: [PASTE CURRENT DESCRIPTION] Target keyword: [INSERT KEYWORD] SERP competition: [PASTE COMPETING TITLES/DESCRIPTIONS]
[Goal Description] Rewrite metadata aligned to live SERPs.
[Task Description] Create optimized meta titles and descriptions that stand out in SERPs while incorporating target keywords naturally. Consider SERP real estate, click-through rate optimization, and differentiation from competitors. Ensure compliance with character limits and best practices.
[Output Format] Provide:
            * 3 Title Tag Options (with character counts)
            * 3 Meta Description Options (with character counts)
            * CTR Optimization Rationale
            * Differentiation Strategy
            * A/B Testing Recommendations

[Input Data] Content to enhance: [PASTE YOUR CONTENT OR ATTACH AS A FILE] Target keywords: [LIST YOUR KEYWORDS] Competitor examples: [OPTIONAL - PASTE COMPETITOR CONTENT OR ATTACH AS A FILE]
[Goal Description] Analyze [paste content] and suggest where to: Add internal links with anchor text, Add visual content (images, charts, videos), Improve scannability and takeaways.
[Task Description] Review the content for enhancement opportunities across three dimensions: internal linking opportunities with specific anchor text recommendations, visual content gaps where images/charts/videos would improve understanding, and scannability improvements for better user experience and engagement.
[Output Format] Enhancement plan with:
            * Internal Link Opportunities (location | target page | anchor text)
            * Visual Content Recommendations (location | type | purpose)
            * Scannability Improvements (current issue | suggested fix)
            * Key Takeaway Sections (where to add summaries/highlights)
            * Implementation Priority Order

[Input Data] Service page content: [PASTE YOUR SERVICE PAGE CONTENT] Target cities: [LIST YOUR TARGET CITIES] Local market insights: [PROVIDE ANY KNOWN LOCAL DIFFERENCES]
[Goal Description] Create location-specific content variations for this service page: [paste content] for these cities: [list cities]
[Task Description] Generate unique, locally-relevant variations of your service page for each target city. Include local landmarks, neighborhood names, local regulations, market conditions, and community-specific pain points. Ensure each variation is substantially unique while maintaining brand consistency.
[Output Format] For each city, provide:
            * Localized Title Tag
            * Unique Opening Paragraph
            * Local Market Context Section
            * City-Specific Pain Points
            * Local Proof/Testimonials Placement
            * Neighborhood/Area Mentions
            * Local Schema Markup Recommendations

[Input Data] Business description: [DESCRIBE YOUR BUSINESS] City/region: [INSERT YOUR CITY/REGION] Common customer concerns: [LIST KNOWN CONCERNS OR ATTACH AS A FILE] Local competition: [LIST KEY COMPETITORS]
[Goal Description] Research and create locally relevant FAQ sections for [business description] in [city/region], addressing local customer concerns. This should be done via deep research.
[Task Description] Develop comprehensive FAQ content that addresses location-specific concerns, local regulations, area-specific service details, and regional variations in your offering. Include questions about local availability, area-specific pricing, local competition differentiators, and community-specific issues.
[Output Format] FAQ sections organized by:
            * General Local Questions (5-7)
            * Area-Specific Service Questions (5-7)
            * Local Pricing/Availability (3-5)
            * Regional Regulations/Compliance (3-5)
            * Local Competition Differentiators (3-5)
            * Schema Markup for FAQ

[Input Data] Your SEO metrics: [PASTE YOUR KEY SEO METRICS OR ATTACH AS A FILE] Competitor name: [INSERT COMPETITOR NAME] Competitor SEO metrics: [PASTE COMPETITOR METRICS OR ATTACH AS A FILE] Market context: [DESCRIBE YOUR MARKET]
[Goal Description] Create a SWOT analysis comparing our SEO strategy vs [competitor name]
[Task Description] Develop a comprehensive SWOT analysis comparing SEO strategies. Evaluate technical SEO, content quality, backlink profiles, keyword rankings, and overall organic visibility. Include quantitative metrics where available and qualitative assessments of strategy effectiveness.
[Output Format] SWOT Matrix with:
            * Strengths (your SEO advantages)
            * Weaknesses (where competitor excels)
            * Opportunities (untapped potential)
            * Threats (competitor moves to watch)
            * Strategic Recommendations (5 key actions)
            * Priority Implementation Plan

[Input Data] Competitor content inventory: [PASTE URLS OR CONTENT LIST OR ATTACH AS A FILE]  
Your content inventory: [PASTE YOUR URLS OR CONTENT LIST OR ATTACH AS A FILE]  
Target audience: [DESCRIBE YOUR AUDIENCE]
[Goal Description] Surface angles/topics competitors cover that you don't.
[Task Description] Identify content topics, angles, and formats that competitors are successfully using but are missing from your content strategy. Analyze not just topics but also content depth, formats, and user intent coverage. Prioritize gaps based on search volume and business relevance.
[Output Format] Gap analysis including:
            * Missing Topics (competitor has, you don't)
            * Angle Differences (same topic, different approach)
            * Format Gaps (content types you're missing)
            * Depth Analysis (where competitors go deeper)
            * Priority Gap List (ranked by opportunity)
            * Content Creation Roadmap

[Input Data] Screenshot: [PASTE SCREENSHOT DESCRIPTION] Conversion goal: [DESCRIBE DESIRED ACTION] Current conversion rate: [PROVIDE IF KNOWN] Target audience: [DESCRIBE YOUR AUDIENCE]
[Goal Description] Suggest conversion improvements for landing pages/screenshots.
[Task Description] Audit the landing page for conversion optimization opportunities. Evaluate headline effectiveness, value proposition clarity, CTA placement and copy, trust signals, page load speed indicators, mobile responsiveness, and friction points in the conversion path.
[Output Format] Audit report with:
            * Above-the-Fold Analysis
            * Value Proposition Score (1-10)
            * CTA Effectiveness Review
            * Trust Signal Inventory
            * Friction Point Identification
            * A/B Test Recommendations
            * Priority Fix List

[Input Data] Current CTAs: [PASTE YOUR CTA TEXT AND PLACEMENT] Form fields: [LIST ALL FORM FIELDS] Conversion funnel: [DESCRIBE YOUR FUNNEL STEPS] Drop-off data: [PROVIDE IF AVAILABLE]
[Goal Description] Review CTAs and forms for clarity, persuasiveness, and drop-off risk. Recommend fixes.
[Task Description] Analyze all CTAs and form elements for psychological friction, unclear messaging, and unnecessary complexity. Evaluate form field necessity, CTA button copy, micro-copy effectiveness, and overall user flow. Identify specific friction points causing drop-offs.
[Output Format] Optimization plan:
            * CTA Copy Variations (3 per CTA)
            * Form Field Audit (keep/remove/modify)
            * Micro-copy Improvements
            * Friction Score by Element
            * Progressive Disclosure Opportunities
            * Expected Conversion Lift

[Input Data] Analytics data: [PASTE DATA OR ATTACH AS A FILE]
Time period: [DATE RANGE] 
Business context: [BUSINESS GOALS] 
Audience: [STAKEHOLDER TYPE]
[Goal Description] Transform technical SEO data into client-friendly business insights showing impact on business outcomes. 
[Task Description] Convert SEO metrics into compelling business narrative. Translate improvements into revenue impact, market gains, or acquisition benefits with clear cause-and-effect relationships. 
[Output Format] * Executive Summary (3 sentences) * Key Business Wins * Revenue/Traffic Impact * Market Position * ROI Demonstration * Next Steps * Visual Suggestions

Competitor URLs: [PASTE URL STRUCTURE OR ATTACH CSV EXPORT]
Competitor domain: [INSERT DOMAIN]
Your current features: [LIST YOUR FEATURES]
[Goal Description] Analyze competitor site architecture to identify product features/tools; output as feature list with value propositions.
[Task Description] Extract competitor features from URL structure and site architecture. Identify unique functionalities, tools, calculators, or interactive elements. Map each to likely value proposition and user need.
[Output Format] Feature inventory:
* Feature Name | URL Pattern | Value Proposition | User Need | Implementation Complexity | Priority Score
Note: Validate findings manually.

[Input Data] Monthly SEO metrics: [PASTE COMPREHENSIVE DATA — TRAFFIC, RANKINGS, CONVERSIONS — OR ATTACH AS A FILE] 
Previous period: [PASTE PREVIOUS PERIOD DATA — OR ATTACH AS A FILE] 
Campaign activities: [LIST KEY ACTIVITIES] Budget: [AMOUNT IF RELEVANT] 
[Goal Description] Create executive summary highlighting ROI and strategic wins from monthly SEO performance. 
[Task Description] Synthesize SEO data into concise executive summary focusing on business impact. Emphasize C-suite metrics: revenue influence, market share, competitive wins, and efficiency gains.
[Output Format] * Performance Headline (one impactful statement) * ROI Highlight * Top 3 Strategic Wins * Key Metrics Dashboard (5 most important) * Competitive Position Update * Next Month Focus * Investment Recommendation

[Input Data] SEO strategy: [PASTE YOUR STRATEGY]
Target audience: [C-SUITE ROLE/DEPARTMENT]
Presentation length: [NUMBER OF SLIDES]
Business priorities: [LIST TOP PRIORITIES]
[Goal Description] Transform SEO strategy into C-suite presentation focusing on business value and competitive advantage.
[Task Description] Convert SEO strategy into executive presentation emphasizing business impact and strategic alignment. Remove technical jargon, focus on outcomes over tactics, create clear narrative from problem to solution to results.
[Output Format] Slide-by-slide outline:
* Slide Title | Key Message | Supporting Data | Visual Recommendation | Speaker Notes