28 Expert-Level Prompt Examples & Templates For SEO via @sejournal, @donutcaramel13

28 Expert-Level Prompt Examples For SEO [if IE 9]> <link rel="stylesheet" href=" <![endif] Skip to content

1. SEJ
2. ⋅
3. Generative AI

AI provides many ways to augment and assist how SEOs work. From analyzing SERP intent, to brainstorming content strategy for new pages, to running competitive analysis, to producing stakeholder-ready presentations, the possibilities are endless.

More and more marketers are experimenting with AI prompts to use AI tools as an assistant where an effective prompt can save hours of manual work.

You can start out with basic level prompts of a simple paragraph, but to take your prompting to the next level, apply a coding mindset of instruction hierarchy and referencing other documents for context.

To create an effective prompt , it must have:

• Clear input : Assign it a role, be specific about the task, and outline the data you’re providing.
• Context : Provide a background so that it understands your overall goal, not just your question.
• Constraints : Set guardrails or structure (outlines, rulebooks, style guides, etc.) so that the result will fall within your expectations and avoid off-target answers.

Here is a list of example expert-level prompts put together by our team at SEJ to help with SEO tasks. Adapt to meet your needs:

Keyword Research

1. Jobs-To-Be-Done Query Map

Turn customer struggles into search demand by mapping functional, emotional, and social “jobs” into authentic queries, mapped by funnel stage and content gaps.

# Jobs-To-Be-Done Query Map Generator ## System Context You are a senior customer research strategist with expertise in Clayton Christensen's JTBD theory, Tony Ulwick's Outcome-Driven Innovation, and SEO content strategy. Your task is to analyze topics through authentic customer job frameworks and translate findings into actionable search query maps. ## Input Data **Seed Topic:** [INSERT YOUR SEED TOPIC/KEYWORD] ## Analysis Framework Execute this in sequential phases: ### Phase 1: Customer Job Identification <reasoning> Using JTBD principles, identify what customers are truly trying to accomplish when they encounter this topic. Consider: - **Functional Jobs:** What practical task or problem are they solving? - **Emotional Jobs:** What feelings are they trying to achieve or avoid? - **Social Jobs:** How do they want to be perceived by others? - **Progress Situation:** What circumstances trigger the need for progress? </reasoning> For each job type, document: - The specific progress customers seek - Current solution inadequacies (struggles) - Success criteria from customer perspective - Authentic customer language (avoid corporate jargon) ### Phase 2: Search Behavior Translation <reasoning> Transform identified jobs into actual search patterns. Reference how customers naturally express problems versus how companies describe solutions. Consider informational, navigational, commercial, and transactional search intents. </reasoning> For each customer job, generate: - 3-5 specific search queries customers would actually type - Problem-focused vs. solution-focused query variations - Long-tail variations reflecting different customer sophistication levels - Related "jobs-to-be-done" keywords (how to, ways to, can I, should I) ### Phase 3: Funnel Stage Mapping <reasoning> Map each query to the marketing funnel stage where customers typically search for this information. Consider that JTBD queries often capture middle-funnel traffic with high buying intent. </reasoning> Categorize queries by stage: - **Awareness:** Problem recognition and job definition - **Consideration:** Solution evaluation and approach comparison - **Decision:** Implementation confidence and provider selection - **Retention:** Value maximization and job expansion ### Phase 4: Content Strategy Development <reasoning> Recommend content types that best serve each customer job and search intent, focusing on educational value that gradually introduces solutions rather than direct promotion. </reasoning> ## Output Format Create a comprehensive table with these columns: | Customer Job | Job Type | Authentic Customer Language | Example Search Queries | Search Intent | Funnel Stage | Content Type Recommendation | Priority Score | ### Additional Analysis Required: 1. **Job Prioritization Matrix:** Rank jobs by frequency and business impact 2. **Content Gap Analysis:** Identify underserved customer jobs 3. **Competitive Job Mapping:** Note how competitors address these jobs 4. **Implementation Roadmap:** Sequence content creation by strategic value ## Quality Verification Before finalizing output, verify: - Customer language reflects actual problem expressions, not product descriptions - Search queries represent authentic search behavior patterns - Content recommendations serve customer progress, not just SEO metrics - Funnel mapping reflects realistic customer journey progression - Job definitions focus on customer outcomes, not product features ## Success Metrics Evaluate recommendations against: - **Job Completion Effectiveness:** How well does content help customers make progress? - **Search Intent Alignment:** Do queries match actual customer search patterns? - **Content Utility Score:** Would customers find this genuinely helpful? - **Qualified Engagement Potential:** Likelihood of attracting ready-to-buy traffic Generate your analysis following each phase sequentially. **Focus on delivering the table as your primary output - keep analysis internal and present only the final actionable results.**

2. Query Fan-Out

Expands a seed keyword into 40-60 related queries across six categories (People Also Ask, entities, comparisons, how-tos, problems/solutions, transactional modifiers).

The prompt organizes them into a hierarchical H2/H3 content outline with scoring and rationale, so you get both a complete query set and a blog-ready structure.

3. Content Optimization For Query Fan-Out

Audit your existing content against fan-out queries to expose gaps, shallow coverage, and missed search intents, then rebuild the outline for completeness.

# 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

4. Cluster Keyword List By Opportunity

Group keywords into clusters mapped to existing pages or new page needs, calculate opportunity scores, and flag cannibalization risks. (If search volume is included in your export, no extra validation needed.)

[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)

SERP Intelligence

5. SERP Movement Summarizer

Compare two search engine results page (SERP) snapshots to identify movers, new entrants, drop-offs, and feature changes, then extract competitive implications and recommended actions.

[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

6. SERP Intent Analyzer

Break down top SERP results to identify dominant and secondary search intents, required content elements, and differentiators for ranking.

Content Strategy

7. Intent-Based Title Generator

Create multiple SEO titles targeting different psychological triggers (authority, curiosity, urgency, etc.), all under 60 characters.

Your Task: Generate multiple title variations for a given topic that target different user intents and psychological triggers, while keeping SEO best practices in mind. Input Requirements: * Topic/keyword: [insert topic/keyword] * Target audience: [insert audience] Guidelines: 1. Create titles that are clear, natural, and under 60 characters. 2. Use the keyword naturally (avoid stuffing). 3. Provide variations across these frameworks: * Benefit-driven (outcome-focused) * Curiosity gap (tease/incomplete info) * Authority/credibility signal * Urgency/timeliness * Problem-agitation * Contrarian/myth-busting * Social proof * How-to/educational * List/resource format * Comparison/versus Output Format: Present results in a table with: * Framework | Title | Character Count | Emotional Trigger | Best Use Case

8. Update Vs. New Page Decision

Decide when to refresh a page versus create new content, using live SERP data, cannibalization checks, and 24-month trend analysis.

# ROLE You are a senior SEO analyst with web-browsing capabilities. # INPUT (minimal) - page_content: """PASTE THE FULL CURRENT ARTICLE BODY HERE OR ATTACH AS A FILE""" - page_url (optional): # OBJECTIVE 1) Identify every outdated, incorrect, or low-trust element in the content via fresh external sources. 2) Decide: UPDATE the page under the same URL vs. create a NEW PAGE (or MERGE), based on intent shift, freshness gaps, and cannibalization risk. 3) Provide a succinct, actionable plan. # RESEARCH RULES (no guessing) - Browse the live web. Prioritize primary sources, official docs, and data within the last 12–24 months (unless evergreen). - For each fact/date/price/law/feature/stat referenced or implied by the content, verify against at least 1–2 current sources. Capture source title, publisher, and publication/update date. - Check the current SERP: top ranking pages, their focus/intent, and visible SERP features (e.g., PAA, video, shopping, news, local pack). - Check user interest trend for the main topic over the last 24 months (e.g., Google Trends or equivalent) and note seasonality vs. structural decline. - If page_url is given, run a quick site overlap check (site:domain query) to spot internal cannibalization candidates. # ANALYSIS STEPS 1) Extract & Label Facts - From page_content, list every time-sensitive claim (numbers, years, steps, policies, product features, screenshots, tool UIs, brand names, prices). - Mark each as {current / outdated / unverifiable}. For “outdated/unverifiable,” propose corrected text + 1–2 citations. 2) Intent & SERP Fit - Infer the article’s dominant intent from headings and opening sections. - Compare to today’s top SERP results: intent (info/compare/transactional/local), structure (how-to, checklist, tool, glossary), depth, freshness, and unique assets (calculator, template, video). - Note any meaningful SERP shifts since the content’s likely publish/update timeframe. 3) User Interest & Language Shift - Summarize 24-month query trend (rising/flat/declining; seasonal?). - Flag terminology changes (e.g., product rebrands, API deprecations, new policy names) that would make the content feel dated. 4) Cannibalization Risk (0–10) - If page_url is provided, list on-site pages with ≥60% topical overlap or near-duplicate titles. - Score risk using: query/topic overlap intensity (40%), intent similarity (30%), on-site title/slug redundancy (20%), URL proximity (10%). - Show subscores + weighted math and name any URL to consolidate. 5) Feasibility Decision - Choose exactly one: UPDATE vs NEW PAGE vs MERGE vs NO ACTION. - Use this decision logic: • UPDATE if intent is still the same and ≥60% of content remains structurally useful; freshness issues are fixable with revisions. • NEW PAGE if the dominant intent/format on today’s SERP is distinct (e.g., tool/comparison/local pack) or expanding would dilute the current page’s focus. • MERGE if another internal URL already better satisfies the same intent; specify the canonical target and redirect plan. • NO ACTION if demand is structurally declining and the opportunity is low. 6) Implementation Plan (only for the chosen path) - Outline: new H1, H2/H3 structure, entities to cover, examples/screenshots to refresh, required visuals/tools (calculator/template), internal links (source → anchor → target), meta title/description draft, and schema suggestions. - Measurement plan: primary queries, KPIs (impressions, CTR, clicks, avg pos), checkpoints at 28/56/84 days. # OUTPUT (markdown, concise) - **Decision:** [Update | New Page | Merge | No Action] — one-sentence rationale. - **What’s Outdated (Before → After):** bullet list with replacements + citations. - **Intent & SERP Summary:** today’s dominant intent/format, key gaps vs. competitors, notable SERP features. - **Cannibalization Risk (0–10):** score with subscores & URLs (if page_url given). - **Implementation Plan:** tight bullets tailored to the decision. - **Risk & Mitigation:** top 3 risks with concrete mitigations. - **Sources:** list all citations with titles, publishers, and dates. # CONSTRAINTS - Do not hallucinate. If a claim can’t be verified, mark “unverifiable” and suggest removal or neutral phrasing. - Prefer keeping the same URL if intent hasn’t changed and equity is strong; only recommend NEW PAGE when intent/format clearly diverges. - Keep total output ~400–700 words unless many facts require correction.

9. E-E-A-T Trust Signal Analyzer

Score content for Experience, Expertise, Authoritativeness, and Trustworthiness, and get a prioritized list of improvements to strengthen credibility.

10. 12-Month Content Calendar

Plan a full year of SEO content with seasonal tie-ins, industry events, and keyword themes mapped to business objectives.

[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

11. Consolidation Strategy

Analyze overlapping content, recommend merges or redirects, and produce a migration map that preserves SEO equity.

[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

12. Editorial QA Checklist

Run AI-written or draft content through a QA filter for originality, hallucinations, citations, and style alignment before publication.

[Input Data] Draft content: [PASTE YOUR DRAFT] Target keywords: [LIST YOUR KEYWORDS] Brand guidelines: [PASTE KEY GUIDELINES] Source materials: [LIST/LINK SOURCES] [Goal Description] [Deep research mode only] Evaluate drafts for originality, hallucination, citations, and style. [Task Description] Perform comprehensive editorial QA checking for factual accuracy, originality, potential AI hallucinations, proper citation usage, style consistency, and brand voice alignment. Flag any unsubstantiated claims, missing citations, or deviations from guidelines. Verify all statistics and claims against provided sources. [Output Format] QA Report including: * Originality Score (with flagged passages) * Potential Hallucinations/Inaccuracies * Citation Audit (missing/needed) * Style Consistency Issues * Brand Voice Alignment * Fact-Check Results * Priority Revisions

13. Competitor Content Strategy Analysis

Deconstruct competitor content pillars, formats, and engagement tactics to surface strategic differentiation opportunities.

[Your Task] You are an expert content strategist with deep expertise in competitive analysis, market positioning, and content differentiation. Your role is to conduct a thorough strategic assessment that goes beyond surface-level analysis to uncover actionable competitive intelligence. Input Parameters Primary Data Sources Competitor URLs/Content: [PASTE COMPETITOR CONTENT OR URLS] Your Current Content: [PASTE YOUR CONTENT] Target Market Profile: [DESCRIBE YOUR MARKET - Include demographics, psychographics, pain points, content consumption habits] Market Context Industry Sector: [Specify industry/niche] Competitive Landscape: [Brief description of key players] Business Objectives: [Primary goals: brand awareness, lead generation, thought leadership, etc.] Content Distribution Channels: [Where content will be published/promoted] Target Audience Segments: [Primary and secondary audience personas] Strategic Analysis Framework 1. Content Strategy Architecture Analysis Examine each competitor's content through these strategic lenses: Content Mission & Vision: * What overarching story are they telling? * How does their content align with their brand positioning? * What transformation do they promise their audience? Strategic Pillars: * Core content themes and topic clusters * Expertise areas they're establishing authority in * How content supports their sales funnel stages Content Ecosystem Mapping: * Content types and formats utilized * Publishing frequency and consistency patterns * Cross-channel content repurposing strategies 2. Audience Intelligence & Targeting Audience Segmentation: * Primary and secondary audiences being targeted * Audience journey stages addressed * Pain points and aspirations being addressed Engagement Psychology: * Emotional triggers and persuasion techniques used * Community building and audience retention strategies * User-generated content integration approaches 3. Content Performance Indicators Engagement Metrics Assessment: * Social shares, comments, and engagement patterns * Content format performance variations * Viral content characteristics and triggers SEO & Discoverability Strategy: * Keyword targeting approaches and search intent alignment * Content gap analysis in search results * Featured snippet and SERP feature optimization 4. Content Quality & Depth Analysis Information Architecture: * Content depth vs. breadth strategies * Technical accuracy and credibility signals * Research quality and source attribution Narrative & Storytelling: * Brand voice and tone consistency * Storytelling techniques and narrative structures * Case studies and social proof integration User Experience Design: * Content formatting and readability optimization * Visual content integration and design quality * Interactive elements and engagement features Strategic Differentiation Analysis 5. Competitive Positioning Assessment Market Position Mapping: * Where each competitor positions themselves in the market * Pricing strategy reflection in content approach * Target market overlap and differentiation Brand Personality Analysis: * Voice, tone, and communication style patterns * Brand values reflected through content choices * Cultural and social positioning strategies 6. Innovation & Trend Leadership Content Innovation Assessment: * Early adoption of new content formats or platforms * Experimental content approaches and risk-taking * Technology integration and digital transformation Thought Leadership Evaluation: * Industry trend prediction and commentary * Original research and data contribution * Speaking at events and industry participation Gap Analysis & Opportunity Identification 7. Strategic Gap Mapping Content Coverage Gaps: * Underserved audience segments or use cases * Missing content in the customer journey * Unexplored topic areas with search demand Format and Channel Gaps: * Underutilized content formats or distribution channels * Emerging platform opportunities * Cross-platform content optimization opportunities Competitive Vulnerability Assessment: * Areas where competitors show content weaknesses * Outdated or inaccurate information opportunities * Customer complaint themes not addressed in content Output Deliverables Comprehensive Strategic Report Executive Summary * Key competitive insights and strategic implications * Top 3 differentiation opportunities with highest ROI potential * Critical action items for immediate implementation Detailed Analysis Sections: 1. Competitor Strategy Matrix | Competitor | Core Strategy | Content Pillars | Unique Angle | Audience Focus | Performance Indicators | 2. Content Depth & Quality Comparison * Comprehensive scoring across content quality dimensions * Benchmark analysis of content depth and expertise demonstration * User experience and engagement optimization assessment 3. Unique Value Proposition Analysis For each competitor: * Core value proposition articulation * Supporting evidence and proof points * Differentiation from other market players * Audience resonance assessment 4. Strategic Gap & Opportunity Matrix | Opportunity Area | Market Demand | Competitive Intensity | Implementation Complexity | ROI Potential | 5. Differentiation Strategy Recommendations Positioning Strategies: * 3-5 specific positioning angles with rationale * Target audience refinement recommendations * Brand voice and messaging differentiation approaches Content Strategy Pivots: * Topic area expansion or niche focusing recommendations * Content format innovation opportunities * Distribution channel optimization strategies Competitive Advantage Activation: * Unique strengths to leverage in content approach * Proprietary data, insights, or expertise to highlight * Partnership or collaboration opportunities 6. Implementation Roadmap Phase 1 (0-3 months): Quick Wins * High-impact, low-effort differentiation tactics * Content optimization opportunities * Immediate gap-filling content creation Phase 2 (3-6 months): Strategic Builds * Major content pillar development * New format or channel experimentation * Thought leadership campaign development Phase 3 (6-12 months): Market Leadership * Industry-leading content initiatives * Original research and data creation * Community building and ecosystem development Strategic Success Metrics Content Performance KPIs: * Engagement rate improvements * Search ranking improvements for target keywords * Lead generation and conversion metrics Competitive Positioning Metrics: * Share of voice in target topics * Brand mention sentiment analysis * Market position movement indicators Business Impact Indicators: * Pipeline influence and attribution * Customer acquisition cost improvements * Brand awareness and recall metrics Analysis Guidelines Depth Requirements: * Analyze minimum 5-10 pieces of content per competitor * Examine content across multiple formats and channels * Review 3-6 month content publishing patterns Objectivity Standards: * Provide evidence-based assessments * Acknowledge competitor strengths honestly * Focus on strategic opportunities rather than criticism Actionability Focus: * Every insight should connect to specific action items * Prioritize recommendations by impact and feasibility * Include resource requirements and timeline estimates Execute this analysis with the mindset of a senior content strategist who understands that great content strategy is not just about creating better content, but about creating content that serves a larger business strategy and builds sustainable competitive advantages.

14. Scrape Google’s First Page For [Keyword]

Compare your content to top-ranking competitors by depth, format, and UX to identify specific gaps and quick wins.

[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

On-Page, Schema & Internal Links

15. Internal Link Anchor Text Optimizer

Generate semantically natural, reader-first internal links with descriptive anchor text that aligns with Google’s guidelines.

Context & Role You are an expert SEO strategist specializing in semantic internal linking that aligns with Google's modern content understanding. Your expertise focuses on creating contextually relevant anchor text that serves both users and search engines by following Google's descriptive anchor text guidelines rather than keyword-stuffing approaches. Input Data Requirements Site URL Inventory: * CSV data with site URLs and their corresponding headlines/titles: {CSV_DATA OR ATTACH AS A FILE} * Current article URL being optimized: {CURRENT_ARTICLE_URL} * Current article content/text: {ARTICLE_CONTENT OR ATTACH AS A FILE} Task Objective Analyze the provided article content and suggest semantically appropriate internal links with natural anchor text that would genuinely benefit readers. Focus on sentence-level contextual relevance rather than keyword targeting. Analysis Methodology Step 1: Content Context Analysis * Identify the main topics and subtopics discussed in the article * Map the semantic themes and natural discussion flow * Locate sentences that could benefit from supporting information * Find contexts where readers would naturally seek additional details Step 2: Semantic Matching Process For each potential link opportunity: * Context evaluation: Does the target page content genuinely expand on the current sentence/paragraph topic? * Reader value test: Would a real reader click this link for relevant additional information? * Anchor text naturalness: Does the proposed anchor text make sense when read in isolation? * Semantic alignment: Do the source and target content themes genuinely relate? Step 3: Anchor Text Optimization Create anchor text that: * Passes Google's "out of context" readability test * Uses natural, descriptive language * Provides clear context for what the reader will find * Avoids keyword stuffing or artificial optimization patterns Critical Guidelines DO: * Create anchor text that clearly describes the target page content * Link only when it provides genuine value to readers * Use natural language that flows with the sentence * Consider the specific sentence context, not just overall topics * Ensure anchor text makes sense when read alone DON'T: * Force links just because keywords match * Use keyword-rich anchor text without contextual relevance * Link to pages with different semantic contexts than the source sentence * Create anchor text that disrupts reading flow * Suggest links readers would never realistically click Validation Check: Before suggesting each link, verify: 1. A real reader would find value in clicking this link 2. The anchor text describes what they'll find on the target page 3. The semantic themes genuinely align between source and target 4. The anchor text reads naturally within the sentence context Output Format Semantic Internal Link Recommendations Article Analysis: * Current Article: * Main Topics Identified: [List 3-5 primary topics discussed] * Link Opportunities Found: [Number of viable linking opportunities] Recommended Internal Links: Link 1: * Target URL: * Target Page Title: [Headline from CSV] * Source Sentence: "[Exact sentence where link should be placed]" * Recommended Anchor Text: "[Natural, descriptive anchor text]" * Contextual Rationale: [Brief explanation of why this link adds value in this context] * Reader Benefit: [What additional value this provides to readers] Link 2: * Target URL: * Target Page Title: [Headline from CSV] * Source Sentence: "[Exact sentence where link should be placed]" * Recommended Anchor Text: "[Natural, descriptive anchor text]" * Contextual Rationale: [Brief explanation of why this link adds value in this context] * Reader Benefit: [What additional value this provides to readers] [Continue for all recommended links] Implementation Notes: * High Priority Links: [Links that provide maximum reader value] * Context Considerations: [Any special placement or timing recommendations] * Alternative Anchor Text: [Secondary anchor text options if primary doesn't fit naturally] Quality Validation Checklist For each recommended link: * Anchor text makes sense when read out of context * Target page content genuinely relates to source sentence topic * A real reader would likely click for additional relevant information * Anchor text uses natural, descriptive language * Link enhances rather than disrupts content flow * Semantic themes align between source and target content ________________ Generate internal link suggestions that complement Google's semantic understanding while providing genuine user value through contextually relevant connections.

16. Meta & Snippet Wins

Rewrite title tags and descriptions tailored to live SERPs to maximize click-through rate (CTR) while differentiating from competitors.

[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

17. Content Enhancement

Audit a page for internal link gaps, visuals, scannability, and takeaways, then prioritize fixes that lift engagement and conversions.

[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

Local SEO

18. Location-Specific Content Variations

Create unique, city-specific service page variants with local context, pain points, and schema markup.

[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

19. Local FAQ Builder

Generate localized FAQ sections that address community-specific questions, regulations, and competitor differentiators.

[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

Off-Page: Link Building & Digital PR

20. Backlink Gap Analysis & Outreach Campaign Generator Using Deep Research

Identify precise page-level opportunities and generate personalized outreach emails with evidence.

Competitive Analysis

21. SWOT Analysis

Build a side-by-side SEO SWOT matrix against a competitor, complete with quantified metrics and five recommended actions.

[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

22. Competitor Coverage Gap

Identify topics, angles, and formats competitors cover that you don’t, and rank them by search volume and business relevance.

[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

Conversion Rate Optimization (CRO)

23. Landing Page Conversion Audit

Audit a landing page’s value proposition, calls-to-action (CTAs), and trust signals, then recommend A/B tests to lift conversions.

[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

24. CTA & Form Friction Optimizer

Analyze CTA copy and form fields to flag friction points, then propose high-converting variations and field reductions.

[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

Analytics & Stakeholder Communication

25. Analytics Storytelling

Translate technical SEO metrics into a narrative of business impact – traffic, revenue, and return on investment (ROI) – for executive audiences.

[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

26. Competitor Feature Mapping

Extract product features and tools from competitor site structures and map their value propositions to user needs.

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.

27. Executive Summary Generator

Condense monthly SEO metrics into an executive-ready summary with ROI highlights, top wins, and next-month focus.

[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

28. Strategy-To-Presentation Converter

Transform an SEO strategy into a C-suite deck with outcomes, competitive advantage, and a clear narrative arc.

[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

Refining & Validating Prompts

To make prompts fit for purpose, it’s not as simple as plugging in templates, copying and pasting the output, then calling it a day. It’s important to keep refining every prompt as part of your process. As our in-house expert in large language model (LLM) behavior, Brent Csutoras, points out:

“Make sure that your prompts are the right prompts and that you understand the theory behind it.”

LLMs don’t understand facts the way we humans do , as Brent puts it:

“The problem you have is that you are asking a prediction engine to give you the answer it thinks you want based on some rules that you’ve given it.”

In practice, this means testing, adjusting, and pressure-checking your prompts. Refine them until they consistently deliver results that enhance your workflow and productivity.

Here’s his advice to help you do just that:

Practical Recommendations For AI Prompting

• Cross-model testing : Run prompts across ChatGPT, Claude, and others . Differences in output expose weaknesses in your structure.
• Self-critique loops : Ask the AI to explain how it interpreted your instructions and highlight conflicts or missing steps.
• Project-based prompting with artifacts : Build structured “projects” where your instructions, templates, and filtered datasets (artifacts) are predefined. This ensures consistent, high-quality outputs every time.
• Continuous improvement : Treat prompts as living documents. Revisit them monthly, track edits, and even have the AI suggest revisions based on past outputs.

We will be updating this list on a regular basis with more prompt ideas and examples to make your SEO more efficient.

Disclaimer: These SEO-focused prompts are not designed to be “one-size-fits-all” because results generated may contain inaccuracies or incomplete data. Always fact-check your outputs against primary sources, review for compliance and accuracy.

More resources:

• How To Write ChatGPT Prompts To Get The Best Results
• Google’s AI Mode: What We Know & What Experts Think
• Introduction To LLMs For SEO With Examples

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