AI offers some ways to enhance and help how SEOs work. From analyzing SERP intent, to brainstorming content material technique for brand new pages, to working aggressive evaluation, to producing stakeholder-ready shows, the probabilities are countless.
An increasing number of entrepreneurs are experimenting with AI prompts to make use of AI instruments as an assistant the place an efficient immediate can save hours of handbook work.
You can begin out with primary degree prompts of a easy paragraph, however to take your prompting to the following degree, apply a coding mindset of instruction hierarchy and referencing different paperwork for context.
To create an efficient immediate, it will need to have:
- Clear enter: Assign it a task, be particular concerning the process, and description the info you’re offering.
- Context: Present a background in order that it understands your general objective, not simply your query.
- Constraints: Set guardrails or construction (outlines, rulebooks, type guides, and so forth.) in order that the consequence will fall inside your expectations and keep away from off-target solutions.
Discover By Part
- 1. Key phrase Analysis
- 2. SERP Intelligence
- 3. Content material Technique
- 4. On-Web page, Schema & Inside Hyperlinks
- 5. Native Search engine optimization
- 6. Off-Web page: Hyperlink Constructing & Digital PR
- 7. Aggressive Evaluation
- 8. Conversion Fee Optimization (CRO)
- 9. Analytics & Stakeholder Communication
- 10. Refining & Validating Prompts
Here’s a listing of instance expert-level prompts put collectively by our group at SEJ to assist with Search engine optimization duties. Adapt to fulfill your wants:
Key phrase Analysis
1. Jobs-To-Be-Performed Question Map
Flip buyer struggles into search demand by mapping useful, emotional, and social “jobs” into genuine queries, mapped by funnel stage and content material gaps.
# Jobs-To-Be-Performed Question Map Generator
## System Context
You’re a senior buyer analysis strategist with experience in Clayton Christensen’s JTBD idea, Tony Ulwick’s End result-Pushed Innovation, and Search engine optimization content material technique. Your process is to investigate subjects by means of genuine buyer job frameworks and translate findings into actionable search question maps.
## Enter Knowledge
**Seed Subject:** [INSERT YOUR SEED TOPIC/KEYWORD]
## Evaluation Framework
Execute this in sequential phases:
### Section 1: Buyer Job Identification
Utilizing JTBD ideas, determine what prospects are really making an attempt to perform once they encounter this subject. Take into account:
– **Purposeful Jobs:** What sensible process or drawback are they fixing?
– **Emotional Jobs:** What emotions are they making an attempt to attain or keep away from?
– **Social Jobs:** How do they need to be perceived by others?
– **Progress Scenario:** What circumstances set off the necessity for progress?
For every job sort, doc:
– The precise progress prospects search
– Present answer inadequacies (struggles)
– Success standards from buyer perspective
– Genuine buyer language (keep away from company jargon)
### Section 2: Search Habits Translation
Remodel recognized jobs into precise search patterns. Reference how prospects naturally specific issues versus how corporations describe options. Take into account informational, navigational, business, and transactional search intents.
For every buyer job, generate:
– 3-5 particular search queries prospects would really sort
– Downside-focused vs. solution-focused question variations
– Lengthy-tail variations reflecting completely different buyer sophistication ranges
– Associated “jobs-to-be-done” key phrases (how you can, methods to, can I, ought to I)
### Section 3: Funnel Stage Mapping
Map every question to the advertising and marketing funnel stage the place prospects sometimes seek for this data. Take into account that JTBD queries typically seize middle-funnel site visitors with excessive shopping for intent.
Categorize queries by stage:
– **Consciousness:** Downside recognition and job definition
– **Consideration:** Answer analysis and strategy comparability
– **Determination:** Implementation confidence and supplier choice
– **Retention:** Worth maximization and job growth
### Section 4: Content material Technique Growth
Suggest content material varieties that greatest serve every buyer job and search intent, specializing in academic worth that regularly introduces options reasonably than direct promotion.
## Output Format
Create a complete desk with these columns:
| Buyer Job | Job Kind | Genuine Buyer Language | Instance Search Queries | Search Intent | Funnel Stage | Content material Kind Advice | Precedence Rating |
### Further Evaluation Required:
1. **Job Prioritization Matrix:** Rank jobs by frequency and enterprise influence
2. **Content material Hole Evaluation:** Determine underserved buyer jobs
3. **Aggressive Job Mapping:** Be aware how opponents tackle these jobs
4. **Implementation Roadmap:** Sequence content material creation by strategic worth
## High quality Verification
Earlier than finalizing output, confirm:
– Buyer language displays precise drawback expressions, not product descriptions
– Search queries characterize genuine search conduct patterns
– Content material suggestions serve buyer progress, not simply Search engine optimization metrics
– Funnel mapping displays lifelike buyer journey development
– Job definitions give attention to buyer outcomes, not product options
## Success Metrics
Consider suggestions towards:
– **Job Completion Effectiveness:** How properly does content material assist prospects make progress?
– **Search Intent Alignment:** Do queries match precise buyer search patterns?
– **Content material Utility Rating:** Would prospects discover this genuinely useful?
– **Certified Engagement Potential:** Chance of attracting ready-to-buy site visitors
Generate your evaluation following every part sequentially. **Give attention to delivering the desk as your main output – maintain evaluation inside and current solely the ultimate actionable outcomes.**
2. Question Fan-Out
Expands a seed key phrase into 40-60 associated queries throughout six classes (Folks Additionally Ask, entities, comparisons, how-tos, issues/options, transactional modifiers).
The immediate organizes them right into a hierarchical H2/H3 content material define with scoring and rationale, so that you get each an entire question set and a blog-ready construction.
## Complete Question Fan-Out Immediate: Patent-Aligned Algorithm Implementation
### Understanding Question Fan-Out: The Technical Framework
Question fan-out is a complicated multi-stage course of the place serps decompose a person’s question by means of a number of algorithmic steps:
### Enter Necessities
1. **Major Question**: [schema, schema seo, json ld schema]
2. **Consumer Context**: [Beginner/Intermediate/Expert | Industry | Geographic location]
3. **Enterprise Goal**: [Information | Transaction | Navigation | Investigation]
1. **Preliminary Question Decomposition**: The system identifies the core semantic parts and entities throughout the question
2. **Thematic Clustering**: Elements are grouped into distinct themes primarily based on semantic relationships
3. **Hierarchical Growth**: Every theme generates sub-themes and associated ideas in a tree construction
4. **Contextual Rewriting**: Queries are reformulated primarily based on person context and implicit intent
5. **Entity Disambiguation**: The system maps question parts to Data Graph entities
6. **Rating and Filtering**: Generated queries are scored and filtered primarily based on relevance indicators
### Detailed Question Fan-Out Algorithm
#### Stage 1: Question Decomposition & Entity Recognition
**Break the question into semantic parts:**
– **Entities**: Determine all named entities (individuals, locations, merchandise, ideas)
– **Attributes**: Extract descriptive properties (dimension, colour, high quality, temporal)
– **Relationships**: Map connections between entities (comparisons, dependencies, hierarchies)
– **Actions/Intents**: Determine verbs and implied actions
Instance: “greatest sustainable advertising and marketing methods 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 main themes the place every theme:**
– Represents a definite informational aspect
– Has outlined semantic boundaries (what’s included/excluded)
– Comprises a “centroid” idea (most consultant aspect)
– Consists of “peripheral” ideas (boundary parts)
**Theme Era Guidelines:**
1. Every theme should tackle a distinct person want
2. Themes ought to have 30-70% semantic overlap with seed question
3. Create each “convergent” themes (narrowing focus) and “divergent” themes (broadening scope)
#### Stage 3: Hierarchical Question Tree Building
For every theme, construct a question tree with these ranges:
**Stage 1 – Root Queries** (Direct theme illustration)
– Most common type of the theme
– Instance: “sustainable advertising and marketing strategies”
**Stage 2 – Side Queries** (Particular sides)
– Break root into 3-4 distinct elements
– Instance: “environmental influence of digital advertising and marketing”
**Stage 3 – Element Queries** (Granular questions)
– Particular, actionable queries
– Instance: “carbon footprint of e mail campaigns calculation”
**Stage 4 – Context Queries** (Situational variations)
– Modified by person context
– Instance: “e mail carbon footprint for B2B SaaS corporations”
#### Stage 4: Question Rewriting Mechanisms
Apply these rewriting patterns to every base question:
**1. Lexical Substitution**
– Exchange phrases with synonyms/associated phrases
– “methods” → “techniques”, “approaches”, “strategies”
**2. Structural Reformulation**
– Assertion → Query: “sustainable advertising and marketing” → “what makes advertising and marketing sustainable?”
– Broad → Particular: “advertising and marketing methods” → “content material advertising and marketing methods”
– Summary → Concrete: “greatest practices” → “step-by-step information”
**3. Intent Transformation**
– Info → Motion: “what’s X” → “how you can implement X”
– Common → Comparative: “good methods” → “X vs Y methods”
– Single → A number of: “greatest technique” → “prime 5 methods”
**4. Contextual Augmentation**
– Add temporal context: “…in 2024”, “…post-COVID”
– Add experience degree: “…for novices”, “…superior methods”
– Add business particular: “…for SaaS”, “…in healthcare”
#### Stage 5: Entity-Primarily based Growth
**Data Graph Integration:**
1. Map every entity to its data graph node
2. Retrieve associated entities (father or mother, baby, sibling relationships)
3. Extract entity attributes and properties
4. Generate queries combining entities and attributes
**Entity Relationship Patterns:**
– **Hierarchical**: broader/narrower phrases
– **Associative**: generally co-occurring entities
– **Comparative**: related entities for comparability
– **Compositional**: part-whole relationships
#### Stage 6: Scoring and Rating
**Apply multi-factor scoring to every generated question:**
“`
Precedence Rating = (0.30 × Semantic Relevance) +
(0.25 × Intent Alignment) +
(0.20 × Subject Protection) +
(0.15 × Consumer Context Match) +
(0.10 × Question Uniqueness)
“`
**The place:**
– Semantic Relevance: Cosine similarity to seed question
– Intent Alignment: Match to specified person intent
– Subject Protection: How a lot new data it provides
– Consumer Context Match: Relevance to person’s experience/business
– Question Uniqueness: Inverse of overlap with different queries
### Output Format
Generate a hierarchical construction exhibiting the entire fan-out:
“`
SEED QUERY: [Original Query]
│
├── THEME 1: [Theme Name]
│ ├── Centroid: [Most representative query]
│ ├── Root Question: [Level 1]
│ │ ├── Side 1: [Level 2]
│ │ │ ├── Element Question 1: [Level 3]
│ │ │ │ └── Context Variation: [Level 4]
│ │ │ └── Element Question 2: [Level 3]
│ │ └── Side 2: [Level 2]
│ │ └── Element Question: [Level 3]
│ └── Entity Expansions:
│ ├── Associated Entity 1: [Query]
│ └── Associated Entity 2: [Query]
│
├── THEME 2: [Theme Name]
│ └── [Similar structure]
“`
### Detailed Output Desk
| Theme | Question Stage | Question Textual content | Intent Kind | Entity Focus | Semantic Distance | Precedence Rating | Reasoning |
|——-|————|————|————-|————–|——————-|—————-|———–|
| [Theme] | [L1/L2/L3/L4] | [Query] | [Intent] | [Entities] | [0-1 score] | [1-10] | [Why this score] |
### Superior Sample Necessities
**1. Question Chains** (Sequential Dependencies)
– Create sequences the place Question N+1 naturally follows Question N
– Instance: “What’s X?” → “Why is X vital?” → “Methods to measure X?” → “Instruments for X”
**2. Faceted Exploration**
– Generate queries exploring completely different sides concurrently
– Aspects: Price, Time, High quality, Problem, Options
**3. Disambiguation Queries**
– When entities have a number of meanings, generate clarifying queries
– Instance: “Python” → “Python programming” vs “Python snake”
**4. Composite Queries**
– Mix a number of entities/intents in single queries
– Instance: “evaluate [Entity A] and [Entity B] for [Use Case]”
### Validation Necessities
Make sure the fan-out construction:
– [ ] Comprises 40-60 whole queries throughout all themes
– [ ] Has clear hierarchical depth (4 ranges)
– [ ] Reveals specific entity relationships
– [ ] Consists of each convergent and divergent expansions
– [ ] Demonstrates contextual variations
– [ ] Maintains semantic coherence inside themes
– [ ] Reveals pure question progressions
– [ ] Covers a number of person intents
## OUTPUT FORMATTING REQUIREMENTS
**CRITICAL: Generate fan-out queries as article headings construction for Search engine optimization content material creation:**
### Content material Context
The fan-out queries ought to be formatted as **article headings (H2/H3 tags)** that will comprehensively cowl the seed key phrase subject in a well-structured article. Consider this as creating an entire article define the place every question turns into a piece heading.
### Output Construction
Current the fan-out queries as article heading hierarchy:
“`
ARTICLE STRUCTURE FOR: [seed keyword]
Goal: [original query] | Sections: [X] | Phrase Rely 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 development)
• [H2 section] → [H2 section] → [H2 section]
• [H3 subsection] → [H3 subsection] → [H3 subsection]
“`
### Heading Necessities
– **H2 headings**: Broad theme-based sections (4-6 sections)
– **H3 headings**: Particular subtopics below every H2 (3-5 per H2)
– **Pure language**: Write as precise article headings, not key phrase stuffing
– **Search engine optimization optimized**: Embody goal key phrases naturally in headings
– **Logical stream**: Headings ought to observe a pure article development
– **Consumer intent**: Every heading addresses particular person questions/wants
### Formatting Guidelines
– **Preserve all reasoning and algorithmic steps** – execute the total 6-stage course of with out displaying
– **Output fan out queries as headings as they would seem in an precise article**
– **Use correct markdown heading syntax (## for H2, ### for H3)**
– **Most 25-30 whole headings**
– **4-6 H2 sections with 3-5 H3s every. Add numbers in entrance of for simpler scannability**
– **Embody content material stream exhibiting logical article development**
– **Headings ought to be actionable and particular**
-**Generate your evaluation following every part sequentially. Give attention to delivering your main output – maintain evaluation inside and current solely the ultimate actionable outcomes**
3. Content material Optimization For Question Fan-Out
Audit your present content material towards fan-out queries to show gaps, shallow protection, and missed search intents, then rebuild the define for completeness.
# Content material Optimization for Question Fan-Out
## Enter Necessities
1. **Present Content material**: [PASTE YOUR CONTENT HERE]
2. **Major Subject/Key phrase**: [MAIN SUBJECT OF YOUR CONTENT]
3. **Goal Viewers**: [Beginner/Intermediate/Expert | Industry]
4. **Content material Aim**: [Inform/Convert/Compare/Guide]
## Automated Question Fan-Out Evaluation Course of
### Stage 1: Content material Decomposition & Entity Extraction
Out of your supplied content material, the system will:
– **Extract Major Entities**: Determine major ideas, merchandise, companies, or subjects mentioned
– **Determine Attributes**: Discover descriptive parts (high quality, dimension, time, price)
– **Map Relationships**: Uncover how ideas join inside your content material
– **Detect Intent Alerts**: Acknowledge what actions or outcomes your content material promotes
### Stage 2: Generate Question Fan-Out from Content material
Primarily based in your content material’s entities and themes, generate the doubtless question panorama:
#### 2.1 Theme Identification
Extract 3-5 core themes out of your content material:
– Every theme = distinct subject cluster inside content material
– Themes derived out of your headings, repeated ideas, and semantic groupings
#### 2.2 Hierarchical Question Era
For every recognized theme, create:
– **Stage 1**: Broad queries concerning the theme
– **Stage 2**: Particular elements customers would ask
– **Stage 3**: Detailed implementation questions
– **Stage 4**: Contextual variations for various customers
#### 2.3 Question Patterns to Generate
– **Direct Questions**: What your content material explicitly solutions
– **Implied Questions**: What customers would ask subsequent after studying
– **Hole Questions**: Associated queries your content material ought to tackle
– **Bridge Questions**: Connections between your themes
### Stage 3: Protection Evaluation
#### 3.1 Question-Content material Matching
For every generated question, assess:
– **Absolutely Addressed**: Question has devoted content material
– **Partially Addressed**: Question talked about however not detailed
– **Not Addressed**: Question lacking from content material
#### 3.2 Semantic Depth Scoring
Consider how totally every theme is roofed:
– **Floor degree** (definitions solely): 1-3
– **Average depth** (explanations): 4-6
– **Complete** (actionable particulars): 7-9
– **Skilled degree** (nuanced insights): 10
### Stage 4: Hole Identification & Prioritization
#### 4.1 Vital Gaps (Should Deal with)
– Centroid queries of major themes not coated
– Primary “what’s” questions unanswered
– Major entity relationships lacking
– Consumer intent misalignment
#### 4.2 Alternative Gaps (Ought to Deal with)
– Comparability queries not coated
– How-to/implementation particulars lacking
– Different options not mentioned
– Widespread issues/objections unaddressed
#### 4.3 Enhancement Gaps (Might Deal with)
– Superior use instances
– Edge instances and exceptions
– Trade-specific variations
– Future developments/predictions
## OUTPUT FORMATTING REQUIREMENTS
**CRITICAL: Generate optimized content material define as article headings construction that addresses all recognized question gaps:**
### Content material Context
The output ought to be formatted as an **improved article define (H2/H3 tags)** that comprehensively covers each present content material and recognized gaps. This creates an Search engine optimization-optimized content material construction that targets all related fan-out queries.
### Output Construction
Current the optimized content material define as article heading hierarchy:
“`
OPTIMIZED CONTENT OUTLINE FOR: [primary topic]
Unique Content material: [X] sections | Optimized: [X] sections | New Protection: [X] question 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 development)
• [H2 section] → [addresses gap] → [H2 section]
• [H3 subsection] → [bridges to] → [H3 subsection]
“`
### Heading Necessities
– **H2 headings**: Enhanced present sections + new gap-filling sections
– **H3 headings**: Particular queries that weren’t coated + maintained present content material
– **Hole indicators**: Mark new sections addressing recognized question gaps
– **Pure language**: Write as precise article headings for person readability
– **Search engine optimization optimized**: Embody goal key phrases and associated question phrases naturally
– **Logical stream**: Preserve content material development whereas filling gaps
– **Consumer intent**: Every heading addresses particular recognized lacking queries
### Formatting Guidelines
– **Preserve all reasoning and algorithmic steps** – execute the total 4-stage course of
– **Output fan out queries as headings as they would seem in an precise article**
– **4-6 H2 sections with 3-5 H3s every. Add numbers in entrance of for simpler scannability**
– **Mark new sections** that tackle recognized gaps
– **Preserve present sections** that already cowl queries properly
– **Most 20-25 whole headings** for complete however manageable define
– **Embody content material stream exhibiting how sections join logically**
– **Give attention to question protection completeness** guaranteeing no main gaps stay
4. Cluster Key phrase Checklist By Alternative
Group key phrases into clusters mapped to present pages or new web page wants, calculate alternative scores, and flag cannibalization dangers. (If search quantity is included in your export, no further validation wanted.)
[Input Data] Key phrase export CSV: [PASTE YOUR CSV DATA WITH KEYWORDS AND SEARCH VOLUMES OR ATTACH AS A FILE] Present website construction: [LIST YOUR MAIN PAGES/CATEGORIES]
[Goal Description] Given a key phrase export [CSV], group phrases into clusters mapped to pages. Spotlight clusters that characterize strategic alternatives. Be aware: When export already contains search volumes from the instrument, no further validation step is required.
[Task Description] Analyze the key phrase listing and group semantically associated phrases into clusters. Map every cluster to present pages or determine wants for brand new pages. Calculate alternative scores primarily based on mixed search quantity, competitors indicators (if out there), and enterprise relevance. Prioritize clusters that characterize untapped or high-value alternatives.
[Output Format] Ship:
* Key phrase Clusters (grouped phrases with whole quantity)
* Web page Mapping (cluster → present web page or “new web page wanted”)
* Alternative Rating (primarily based on quantity, competitors, relevance)
* Strategic Suggestions (prime 5 clusters to pursue)
* Cannibalization Warnings (overlapping clusters)
SERP Intelligence
5. SERP Motion Summarizer
Examine two search engine outcomes web page (SERP) snapshots to determine movers, new entrants, drop-offs, and have adjustments, then extract aggressive implications and advisable actions.
[Input Data] SERP information level 1: [PASTE SERP RANKINGS/SCREENSHOTS FROM DATE 1 OR ATTACH AS A FILE] SERP information level 2: [PASTE SERP RANKINGS/SCREENSHOTS FROM DATE 2 OR ATTACH AS A FILE] Goal key phrase: [INSERT YOUR KEYWORD]
[Goal Description] Examine SERPs at two deadlines [data/screenshots] and summarize rating shifts, new entrants, and drop-offs.
[Task Description] Analyze the 2 SERP snapshots to determine all place adjustments. Spotlight important actions (3+ positions), new domains showing within the prime 10, domains that dropped out, and any SERP characteristic adjustments. Present strategic insights about what these actions recommend about algorithm updates or aggressive panorama shifts.
[Output Format] Construction as:
* Main Movers (domains with 3+ place adjustments)
* New Entrants (weren’t within the prime 10 earlier than)
* Drop-offs (left the highest 10)
* SERP Function Adjustments
* Strategic Implications
* Really helpful Actions
6. SERP Intent Analyzer
Break down prime SERP outcomes to determine dominant and secondary search intents, required content material parts, and differentiators for rating.
Your process is to behave as a SERP analyst, decoding search engine outcomes pages (SERPs) to offer a strategic, actionable content material plan. The objective is to create content material that not solely ranks but in addition genuinely satisfies person wants and outperforms opponents. Your output should be complete, structured, and straight actionable, leaving no room for ambiguity or hallucination.
Enter Knowledge:
* Goal Key phrase: [INSERT YOUR KEYWORD]
* Present SERP Knowledge (Prime 10 Outcomes): [PASTE THE TOP 10 RESULTS, INCLUDING TITLES, DESCRIPTIONS, AND URLs OR ATTACH AS A FILE]
* Elective: Contextual Info: [E.G., YOUR BRAND/WEBSITE, TARGET AUDIENCE, EXISTING CONTENT, OR UNIQUE SELLING PROPOSITION]
Job Directions:
1. Analyze the SERP: Study the titles, meta descriptions, URLs, and the content material codecs (e.g., weblog posts, product pages, evaluations, “how-to” guides, touchdown pages) of the highest 10 outcomes. This evaluation is essential for understanding how Google has interpreted the person’s intent. Pay shut consideration to any particular content material consequence blocks (SCRBs) or SERP options which are current.
2. Determine Search Intent: Primarily based on the SERP evaluation, outline the first search intent. Classify it as one of many following, and supply a transparent justification:
* Informational (“Know”): The person is trying to be taught, discover a solution to a query, or discover a subject. That is the commonest search intent and may vary from easy details to complicated, in-depth subjects.
* Navigational (“Go”): The person is looking for a particular web site or model (e.g., trying to find “Fb login”).
* Transactional (“Do”): The person intends to make a purchase order or full a particular motion.
* Business Investigation: The person is researching services or products earlier than making a purchase order (e.g., on the lookout for “greatest trainers”).
3. Determine Secondary Intent Alerts: Search for different, much less dominant person intents or interpretations which are additionally current within the SERP. As an illustration, a primarily informational SERP may also comprise outcomes that recommend a business investigation intent. These secondary indicators are key to making a complete and extremely satisfying web page.
4. Deconstruct Aggressive Content material: Analyze the widespread parts, codecs, and patterns among the many top-ranking pages to grasp what presently satisfies customers. Search for:
* Content material Kind & Format: What’s the predominant content material sort (e.g., a information, a listicle, a product web page)? What format is used (e.g., long-form textual content, video, tables)?
* Web page Parts: What particular sections or options seem repeatedly? This might embrace a desk of contents, an FAQ part, comparability tables, calculators, or embedded movies.
* E-E-A-T Alerts: Search for proof of Expertise, Experience, Authoritativeness, and Trustworthiness (E-E-A-T). For YMYL (Your Cash or Your Life) subjects, that is particularly essential. Be aware how opponents set up their credentials (e.g., creator bios, citations, skilled evaluations).
5. Synthesize Suggestions: Primarily based on a holistic evaluation of the above, present a structured and actionable content material technique. The suggestions ought to be particular sufficient to information content material creation straight.
Output Format:
Your output should be structured with the next sections, utilizing clear and concise language.
1. Major Search Intent Classification:
* State the dominant intent (e.g., “Informational”).
* Present a quick justification primarily based on the top-ranking outcomes and the character of the question.
2. Secondary Intent Alerts:
* Checklist every other related intents which are current within the SERP.
* Present examples from the SERP information that point out these secondary intents.
3. Required Web page Parts (Should-Haves for Rating):
* Create a bulleted listing of important on-page parts. These are the content material sections, options, and subjects which are essential to incorporate to compete successfully.
* For instance: “An in depth ‘How-to’ part with numbered steps,” “A comparability desk of key product options,” “An FAQ part addressing widespread person questions (drawn from ‘Folks Additionally Ask’ containers if current).”
4. Content material Format Suggestions:
* Specify the best content material format(s) for the brand new web page (e.g., “Lengthy-form weblog put up (2000+ phrases),” “Complete shopping for information,” “Product touchdown web page with detailed specs”).
* Justify your suggestion by referencing the patterns and profitable codecs discovered within the aggressive SERP.
5. SERP Function Alternatives:
* Determine any SERP options (e.g., Featured Snippets, Folks Additionally Ask, Video Carousel, Native Pack, AI Overviews) that seem within the SERP information.
* For every recognized characteristic, recommend a particular content material optimization technique to extend the chance of successful that spot. As an illustration, “To focus on the Featured Snippet, embrace a concise, 50-word reply to the core question in the beginning of the content material.”
6. Aggressive Differentiators Wanted:
* Suggest distinctive parts, content material angles, or E-E-A-T indicators that can make the brand new web page stand out and supply a superior person expertise in comparison with the highest opponents. This part is about going past merely matching the SERP and offering true added worth.
* Examples may embrace: “Incorporate authentic analysis or a proprietary examine,” “Embody an interactive instrument or calculator,” or “Function a testimonial or quote from a acknowledged business skilled.”
Content material Technique
7. Intent-Primarily based Title Generator
Create a number of Search engine optimization titles focusing on completely different psychological triggers (authority, curiosity, urgency, and so forth.), all below 60 characters.
Your Job:
Generate a number of title variations for a given subject that concentrate on completely different person intents and psychological triggers, whereas maintaining Search engine optimization greatest practices in thoughts.
Enter Necessities:
* Subject/key phrase: [insert topic/keyword]
* Audience: [insert audience]
Tips:
1. Create titles which are clear, pure, and below 60 characters.
2. Use the key phrase naturally (keep away from stuffing).
3. Present variations throughout these frameworks:
* Profit-driven (outcome-focused)
* Curiosity hole (tease/incomplete information)
* Authority/credibility sign
* Urgency/timeliness
* Downside-agitation
* Contrarian/myth-busting
* Social proof
* How-to/academic
* Checklist/useful resource format
* Comparability/versus
Output Format:
Current ends in a desk with:
* Framework | Title | Character Rely | Emotional Set off | Finest Use Case
8. Replace Vs. New Web page Determination
Determine when to refresh a web page versus create new content material, utilizing stay SERP information, cannibalization checks, and 24-month pattern evaluation.
# ROLE
You’re a senior Search engine optimization analyst with web-browsing capabilities.
# INPUT (minimal)
– page_content: “””PASTE THE FULL CURRENT ARTICLE BODY HERE OR ATTACH AS A FILE”””
– page_url (non-obligatory): https://instance.com/path
# OBJECTIVE
1) Determine each outdated, incorrect, or low-trust aspect within the content material through recent exterior sources.
2) Determine: UPDATE the web page below the identical URL vs. create a NEW PAGE (or MERGE), primarily based on intent shift, freshness gaps, and cannibalization threat.
3) Present a succinct, actionable plan.
# RESEARCH RULES (no guessing)
– Browse the stay internet. Prioritize main sources, official docs, and information throughout the final 12–24 months (except evergreen).
– For every truth/date/worth/regulation/characteristic/stat referenced or implied by the content material, confirm towards no less than 1–2 present sources. Seize supply title, writer, and publication/replace date.
– Test the present SERP: prime rating pages, their focus/intent, and visual SERP options (e.g., PAA, video, buying, information, native pack).
– Test person curiosity pattern for the principle subject during the last 24 months (e.g., Google Developments or equal) and notice seasonality vs. structural decline.
– If page_url is given, run a fast website overlap examine (website:area question) to identify inside cannibalization candidates.
# ANALYSIS STEPS
1) Extract & Label Details
– From page_content, listing each time-sensitive declare (numbers, years, steps, insurance policies, product options, screenshots, instrument UIs, model names, costs).
– Mark every as {present / outdated / unverifiable}. For “outdated/unverifiable,” suggest corrected textual content + 1–2 citations.
2) Intent & SERP Match
– Infer the article’s dominant intent from headings and opening sections.
– Examine to in the present day’s prime SERP outcomes: intent (information/evaluate/transactional/native), construction (how-to, guidelines, instrument, glossary), depth, freshness, and distinctive belongings (calculator, template, video).
– Be aware any significant SERP shifts because the content material’s doubtless publish/replace timeframe.
3) Consumer Curiosity & Language Shift
– Summarize 24-month question pattern (rising/flat/declining; seasonal?).
– Flag terminology adjustments (e.g., product rebrands, API deprecations, new coverage names) that will make the content material really feel dated.
4) Cannibalization Danger (0–10)
– If page_url is supplied, listing on-site pages with ≥60% topical overlap or near-duplicate titles.
– Rating threat utilizing: question/subject overlap depth (40%), intent similarity (30%), on-site title/slug redundancy (20%), URL proximity (10%).
– Present subscores + weighted math and identify any URL to consolidate.
5) Feasibility Determination
– Select precisely one: UPDATE vs NEW PAGE vs MERGE vs NO ACTION.
– Use this determination logic:
• UPDATE if intent remains to be the identical and ≥60% of content material stays structurally helpful; freshness points are fixable with revisions.
• NEW PAGE if the dominant intent/format on in the present day’s SERP is distinct (e.g., instrument/comparability/native pack) or increasing would dilute the present web page’s focus.
• MERGE if one other inside URL already higher satisfies the identical intent; specify the canonical goal and redirect plan.
• NO ACTION if demand is structurally declining and the chance is low.
6) Implementation Plan (just for the chosen path)
– Define: new H1, H2/H3 construction, entities to cowl, examples/screenshots to refresh, required visuals/instruments (calculator/template), inside hyperlinks (supply → anchor → goal), meta title/description draft, and schema ideas.
– Measurement plan: main queries, KPIs (impressions, CTR, clicks, avg pos), checkpoints at 28/56/84 days.
# OUTPUT (markdown, concise)
– **Determination:** [Update | New Page | Merge | No Action] — one-sentence rationale.
– **What’s Outdated (Earlier than → After):** bullet listing with replacements + citations.
– **Intent & SERP Abstract:** in the present day’s dominant intent/format, key gaps vs. opponents, notable SERP options.
– **Cannibalization Danger (0–10):** rating with subscores & URLs (if page_url given).
– **Implementation Plan:** tight bullets tailor-made to the choice.
– **Danger & Mitigation:** prime 3 dangers with concrete mitigations.
– **Sources:** listing all citations with titles, publishers, and dates.
# CONSTRAINTS
– Don’t hallucinate. If a declare can’t be verified, mark “unverifiable” and recommend elimination or impartial phrasing.
– Desire maintaining the identical URL if intent hasn’t modified and fairness is robust; solely advocate NEW PAGE when intent/format clearly diverges.
– Preserve whole output ~400–700 phrases except many details require correction.
9. E-E-A-T Belief Sign Analyzer
Rating content material for Expertise, Experience, Authoritativeness, and Trustworthiness, and get a prioritized listing of enhancements to strengthen credibility.
[YOUR TASK] You’re an skilled Search engine optimization analyst and content material strategist specializing in Google’s High quality Rater Tips and the E-E-A-T framework. Your process is to carry out a deep evaluation of a supplied piece of content material, evaluating its indicators for Expertise, Experience, Authoritativeness, and Trustworthiness.
[CONTEXT] The objective is to investigate the supplied content material towards Google’s high quality requirements, particularly specializing in E-E-A-T. You’ll determine areas the place the content material will be improved to higher show credibility and experience, that are essential for rating, particularly for Your Cash or Your Life (YMYL) subjects. Your suggestions ought to be sensible and goal to strengthen person belief and search engine recognition.
[INPUT DATA]
* Content material to Analyze: [PASTE YOUR CONTENT HERE]
* Creator Info: [PROVIDE AUTHOR CREDENTIALS, e.g., Name, Title, Bio, relevant experience, publications, etc.]
* Web site Context: [DESCRIBE THE SITE’S AUTHORITY AND REPUTATION, e.g., Niche, age, traffic, type of content, etc.]
[DETAILED TASK INSTRUCTIONS]
1. Analyze Expertise Alerts: Consider if the content material demonstrates first-hand expertise with the subject. Search for private anecdotes, distinctive insights, or sensible examples that present the creator has lived expertise.
2. Assess Experience: Decide the extent of information and ability displayed. Search for the usage of particular terminology, detailed explanations, and a transparent understanding of the subject material that goes past a primary overview. The depth and accuracy of the content material, in addition to creator credentials and {qualifications}, are key to demonstrating experience.
3. Consider Authoritativeness: Decide the popularity of each the creator and the web site as a go-to supply for the subject. Test for creator credentials, exterior citations from respected sources, and inside linking to different authoritative content material on the positioning.
4. Determine Trustworthiness Alerts: Discover all parts that construct person confidence. Search for clear citations, verifiable proof, transparency (e.g., disclosure insurance policies), safety features (e.g., HTTPS), {and professional} presentation. Belief is an important part of E-E-A-T, as untrustworthy pages have low E-E-A-T no matter different elements.
[AI INSTRUCTION & SELF-CORRECTION]
* If the supplied data in [INPUT DATA] is inadequate or ambiguous, clearly state what data is lacking and the way it impacts your capability to offer a complete evaluation.
* Keep away from producing generic or placeholder textual content. If a particular part of the output format can’t be accomplished with significant information, state the rationale clearly within the corresponding part.
* Prioritize actionable, particular suggestions over common recommendation. For instance, as an alternative of claiming “enhance content material,” recommend “add a devoted creator bio with skilled credentials and hyperlinks to verifiable work.”
[CONSTRAINTS & CONSIDERATIONS]
* Reference the Google Search High quality Rater Tips in your evaluation, particularly for the way it defines and evaluates E-E-A-T.
* If the content material falls below a YMYL subject (e.g., medical, monetary, authorized), apply the stricter E-E-A-T requirements required for these classes.
* Your evaluation ought to be goal and primarily based on established Search engine optimization ideas, not private opinion.
[OUTPUT FORMAT] Present your evaluation within the following structured format.
E-E-A-T Scorecard & Evaluation
E-E-A-T Ingredient
Evaluation & Findings
Belief Sign Power
Expertise
[Describe what signals of experience are present or missing. Use specific examples from the text.]
[Present/Missing/Weak]
Experience
[Evaluate the level of expertise shown by the author and content.]
[Strong/Moderate/Weak]
Authoritativeness
[Assess the authority of the author and the website. Are they a recognized authority in this field?]
[Strong/Moderate/Weak]
Trustworthiness
[Identify all present trust elements (e.g., citations, transparency) and note what’s missing.]
[Strong/Moderate/Weak]
Export to Sheets
Precedence Enchancment Suggestions
Present a ranked listing of probably the most essential enhancements wanted, from highest to lowest precedence.
1. [High Priority Improvement]: [Describe the specific change needed, e.g., “Add author bio with credentials.”]
2. [Medium Priority Improvement]: [Describe the specific change needed.]
3. [Lower Priority Improvement]: [Describe the specific change needed.]
Implementation Examples
For the highest 3 precedence suggestions, present concrete, actionable examples of how you can implement them.
* For [Recommendation #1]: [Provide a specific example of how to implement this, e.g., “Create an ‘About the Author’ section with a headshot, their professional title, and links to their LinkedIn profile or other published works.”]
* For [Recommendation #2]: [Provide a specific example.]
* For [Recommendation #3]: [Provide a specific example.]
10. 12-Month Content material Calendar
Plan a full 12 months of Search engine optimization content material with seasonal tie-ins, business occasions, and key phrase themes mapped to enterprise goals.
[Input Data] Trade/area of interest: [INSERT YOUR INDUSTRY] Audience: [DESCRIBE YOUR AUDIENCE] Enterprise targets: [LIST KEY OBJECTIVES] Identified seasonal developments: [LIST ANY KNOWN PATTERNS]
[Goal Description] Generate themes for [industry/niche] contemplating seasonal developments and business occasions.
[Task Description] Create a strategic 12-month content material calendar with month-to-month themes that align with seasonal search developments, business occasions, shopping for cycles, and enterprise goals. Embody content material varieties, goal key phrases themes, and promotional angles for every month.
[Output Format] Month-to-month breakdown together with:
* Month | Theme | Content material Pillars (3) | Key Matters (5) | Seasonal Tie-ins | Trade Occasions | Content material Sorts
11. Consolidation Technique
Analyze overlapping content material, advocate merges or redirects, and produce a migration map that preserves Search engine optimization fairness.
[Input Data] A number of web page contents: [PASTE CONTENT FROM ALL PAGES TO EVALUATE OR ATTACH AS A FILE] Present URLs: [LIST ALL URLS] Present rankings: [PROVIDE RANKING DATA FOR EACH OR ATTACH AS A FILE]
[Goal Description] Determine Redundancies [Paste multiple page contents]. Recommend a consolidation technique.
[Task Description] Analyze all supplied content material for topical overlap, key phrase cannibalization, and redundant data. Determine which pages ought to be consolidated, which ought to stay separate, and how you can merge content material whereas preserving Search engine optimization worth. Take into account redirect methods and content material migration paths.
[Output Format] Ship:
* Redundancy Matrix (overlap percentages)
* Consolidation Suggestions (merge/maintain/delete)
* Major Web page Choice (which turns into the canonical)
* Content material Migration Map
* Redirect Plan
* Anticipated Search engine optimization Influence
12. Editorial QA Guidelines
Run AI-written or draft content material by means of a QA filter for originality, hallucinations, citations, and elegance alignment earlier than publication.
[Input Data] Draft content material: [PASTE YOUR DRAFT] Goal key phrases: [LIST YOUR KEYWORDS] Model pointers: [PASTE KEY GUIDELINES] Supply supplies: [LIST/LINK SOURCES]
[Goal Description] [Deep research mode only] Consider drafts for originality, hallucination, citations, and elegance.
[Task Description] Carry out complete editorial QA checking for factual accuracy, originality, potential AI hallucinations, correct quotation utilization, type consistency, and model voice alignment. Flag any unsubstantiated claims, lacking citations, or deviations from pointers. Confirm all statistics and claims towards supplied sources.
[Output Format] QA Report together with:
* Originality Rating (with flagged passages)
* Potential Hallucinations/Inaccuracies
* Quotation Audit (lacking/wanted)
* Model Consistency Points
* Model Voice Alignment
* Truth-Test Outcomes
* Precedence Revisions
13. Competitor Content material Technique Evaluation
Deconstruct competitor content material pillars, codecs, and engagement techniques to floor strategic differentiation alternatives.
[Your Task]
You’re an skilled content material strategist with deep experience in aggressive evaluation, market positioning, and content material differentiation. Your function is to conduct a radical strategic evaluation that goes past surface-level evaluation to uncover actionable aggressive intelligence.
Enter Parameters
Major Knowledge Sources
Competitor URLs/Content material: [PASTE COMPETITOR CONTENT OR URLS] Your Present Content material: [PASTE YOUR CONTENT] Goal Market Profile: [DESCRIBE YOUR MARKET – Include demographics, psychographics, pain points, content consumption habits]
Market Context
Trade Sector: [Specify industry/niche] Aggressive Panorama: [Brief description of key players] Enterprise Goals: [Primary goals: brand awareness, lead generation, thought leadership, etc.] Content material Distribution Channels: [Where content will be published/promoted] Goal Viewers Segments: [Primary and secondary audience personas]
Strategic Evaluation Framework
1. Content material Technique Structure Evaluation
Study every competitor’s content material by means of these strategic lenses:
Content material Mission & Imaginative and prescient:
* What overarching story are they telling?
* How does their content material align with their model positioning?
* What transformation do they promise their viewers?
Strategic Pillars:
* Core content material themes and subject clusters
* Experience areas they’re establishing authority in
* How content material helps their gross sales funnel levels
Content material Ecosystem Mapping:
* Content material varieties and codecs utilized
* Publishing frequency and consistency patterns
* Cross-channel content material repurposing methods
2. Viewers Intelligence & Focusing on
Viewers Segmentation:
* Major and secondary audiences being focused
* Viewers journey levels addressed
* Ache factors and aspirations being addressed
Engagement Psychology:
* Emotional triggers and persuasion methods used
* Group constructing and viewers retention methods
* Consumer-generated content material integration approaches
3. Content material Efficiency Indicators
Engagement Metrics Evaluation:
* Social shares, feedback, and engagement patterns
* Content material format efficiency variations
* Viral content material traits and triggers
Search engine optimization & Discoverability Technique:
* Key phrase focusing on approaches and search intent alignment
* Content material hole evaluation in search outcomes
* Featured snippet and SERP characteristic optimization
4. Content material High quality & Depth Evaluation
Info Structure:
* Content material depth vs. breadth methods
* Technical accuracy and credibility indicators
* Analysis high quality and supply attribution
Narrative & Storytelling:
* Model voice and tone consistency
* Storytelling methods and narrative constructions
* Case research and social proof integration
Consumer Expertise Design:
* Content material formatting and readability optimization
* Visible content material integration and design high quality
* Interactive parts and engagement options
Strategic Differentiation Evaluation
5. Aggressive Positioning Evaluation
Market Place Mapping:
* The place every competitor positions themselves available in the market
* Pricing technique reflection in content material strategy
* Goal market overlap and differentiation
Model Character Evaluation:
* Voice, tone, and communication type patterns
* Model values mirrored by means of content material selections
* Cultural and social positioning methods
6. Innovation & Development Management
Content material Innovation Evaluation:
* Early adoption of latest content material codecs or platforms
* Experimental content material approaches and risk-taking
* Expertise integration and digital transformation
Thought Management Analysis:
* Trade pattern prediction and commentary
* Unique analysis and information contribution
* Talking at occasions and business participation
Hole Evaluation & Alternative Identification
7. Strategic Hole Mapping
Content material Protection Gaps:
* Underserved viewers segments or use instances
* Lacking content material within the buyer journey
* Unexplored subject areas with search demand
Format and Channel Gaps:
* Underutilized content material codecs or distribution channels
* Rising platform alternatives
* Cross-platform content material optimization alternatives
Aggressive Vulnerability Evaluation:
* Areas the place opponents present content material weaknesses
* Outdated or inaccurate data alternatives
* Buyer grievance themes not addressed in content material
Output Deliverables
Complete Strategic Report
Govt Abstract
* Key aggressive insights and strategic implications
* Prime 3 differentiation alternatives with highest ROI potential
* Vital motion objects for fast implementation
Detailed Evaluation Sections:
1. Competitor Technique Matrix | Competitor | Core Technique | Content material Pillars | Distinctive Angle | Viewers Focus | Efficiency Indicators |
2. Content material Depth & High quality Comparability
* Complete scoring throughout content material high quality dimensions
* Benchmark evaluation of content material depth and experience demonstration
* Consumer expertise and engagement optimization evaluation
3. Distinctive Worth Proposition Evaluation For every competitor:
* Core worth proposition articulation
* Supporting proof and proof factors
* Differentiation from different market gamers
* Viewers resonance evaluation
4. Strategic Hole & Alternative Matrix | Alternative Space | Market Demand | Aggressive Depth | Implementation Complexity | ROI Potential |
5. Differentiation Technique Suggestions
Positioning Methods:
* 3-5 particular positioning angles with rationale
* Audience refinement suggestions
* Model voice and messaging differentiation approaches
Content material Technique Pivots:
* Subject space growth or area of interest focusing suggestions
* Content material format innovation alternatives
* Distribution channel optimization methods
Aggressive Benefit Activation:
* Distinctive strengths to leverage in content material strategy
* Proprietary information, insights, or experience to spotlight
* Partnership or collaboration alternatives
6. Implementation Roadmap Section 1 (0-3 months): Fast Wins
* Excessive-impact, low-effort differentiation techniques
* Content material optimization alternatives
* Speedy gap-filling content material creation
Section 2 (3-6 months): Strategic Builds
* Main content material pillar improvement
* New format or channel experimentation
* Thought management marketing campaign improvement
Section 3 (6-12 months): Market Management
* Trade-leading content material initiatives
* Unique analysis and information creation
* Group constructing and ecosystem improvement
Strategic Success Metrics
Content material Efficiency KPIs:
* Engagement price enhancements
* Search rating enhancements for goal key phrases
* Lead technology and conversion metrics
Aggressive Positioning Metrics:
* Share of voice in goal subjects
* Model point out sentiment evaluation
* Market place motion indicators
Enterprise Influence Indicators:
* Pipeline affect and attribution
* Buyer acquisition price enhancements
* Model consciousness and recall metrics
Evaluation Tips
Depth Necessities:
* Analyze minimal 5-10 items of content material per competitor
* Study content material throughout a number of codecs and channels
* Overview 3-6 month content material publishing patterns
Objectivity Requirements:
* Present evidence-based assessments
* Acknowledge competitor strengths actually
* Give attention to strategic alternatives reasonably than criticism
Actionability Focus:
* Each perception ought to hook up with particular motion objects
* Prioritize suggestions by influence and feasibility
* Embody useful resource necessities and timeline estimates
Execute this evaluation with the mindset of a senior content material strategist who understands that nice content material technique is not only about creating higher content material, however about creating content material that serves a bigger enterprise technique and builds sustainable aggressive benefits.
14. Scrape Google’s First Web page For [Keyword]
Examine your content material to top-ranking opponents by depth, format, and UX to determine particular gaps and fast wins.
[Input Data] Goal key phrase: [INSERT YOUR KEYWORD] Your content material: [PASTE YOUR CONTENT OR ATTACH AS A FILE]
[Goal Description] Scrape Google first web page for key phrase [X], learn all articles rating on the primary web page, and consider how their content material is best than my [paste content] and recommend enhancements.
[Task Description] Analyze all first-page outcomes for the goal key phrase. Examine their content material construction, depth, distinctive insights, media utilization, and person expertise parts towards your content material. Determine particular parts that make competing content material superior and supply actionable enhancements.
[Output Format] Comparative evaluation:
* Prime Rating Elements (widespread parts in prime outcomes)
* Content material Gaps (what opponents cowl that you do not)
* Depth Evaluation (phrase depend, element degree)
* Distinctive Parts (options you lack)
* Enchancment Precedence Checklist
* Implementation Roadmap
On-Web page, Schema & Inside Hyperlinks
15. Inside Hyperlink Anchor Textual content Optimizer
Generate semantically pure, reader-first inside hyperlinks with descriptive anchor textual content that aligns with Google’s pointers.
Context & Function
You’re an skilled Search engine optimization strategist specializing in semantic inside linking that aligns with Google’s trendy content material understanding. Your experience focuses on creating contextually related anchor textual content that serves each customers and serps by following Google’s descriptive anchor textual content pointers reasonably than keyword-stuffing approaches.
Enter Knowledge Necessities
Website URL Stock:
* CSV information with website URLs and their corresponding headlines/titles: {CSV_DATA OR ATTACH AS A FILE}
* Present article URL being optimized: {CURRENT_ARTICLE_URL}
* Present article content material/textual content: {ARTICLE_CONTENT OR ATTACH AS A FILE}
Job Goal
Analyze the supplied article content material and recommend semantically applicable inside hyperlinks with pure anchor textual content that will genuinely profit readers. Give attention to sentence-level contextual relevance reasonably than key phrase focusing on.
Evaluation Methodology
Step 1: Content material Context Evaluation
* Determine the principle subjects and subtopics mentioned within the article
* Map the semantic themes and pure dialogue stream
* Find sentences that might profit from supporting data
* Discover contexts the place readers would naturally search further particulars
Step 2: Semantic Matching Course of
For every potential hyperlink alternative:
* Context analysis: Does the goal web page content material genuinely broaden on the present sentence/paragraph subject?
* Reader worth check: Would an actual reader click on this hyperlink for related further data?
* Anchor textual content naturalness: Does the proposed anchor textual content make sense when learn in isolation?
* Semantic alignment: Do the supply and goal content material themes genuinely relate?
Step 3: Anchor Textual content Optimization
Create anchor textual content that:
* Passes Google’s “out of context” readability check
* Makes use of pure, descriptive language
* Offers clear context for what the reader will discover
* Avoids key phrase stuffing or synthetic optimization patterns
Vital Tips
DO:
* Create anchor textual content that clearly describes the goal web page content material
* Hyperlink solely when it offers real worth to readers
* Use pure language that flows with the sentence
* Take into account the precise sentence context, not simply general subjects
* Guarantee anchor textual content is sensible when learn alone
DON’T:
* Pressure hyperlinks simply because key phrases match
* Use keyword-rich anchor textual content with out contextual relevance
* Hyperlink to pages with completely different semantic contexts than the supply sentence
* Create anchor textual content that disrupts studying stream
* Recommend hyperlinks readers would by no means realistically click on
Validation Test:
Earlier than suggesting every hyperlink, confirm:
1. An actual reader would discover worth in clicking this hyperlink
2. The anchor textual content describes what they’re going to discover on the goal web page
3. The semantic themes genuinely align between supply and goal
4. The anchor textual content reads naturally throughout the sentence context
Output Format
Semantic Inside Hyperlink Suggestions
Article Evaluation:
* Present Article: https://footework.com/or-and-andor-what-does-that-mean-on-my-title/
* Essential Matters Recognized: [List 3-5 primary topics discussed]
* Hyperlink Alternatives Discovered: [Number of viable linking opportunities]
Really helpful Inside Hyperlinks:
Hyperlink 1:
* Goal URL: https://docs.python.org/3/library/csv.html
* Goal Web page Title: [Headline from CSV]
* Supply Sentence: “[Exact sentence where link should be placed]”
* Really helpful Anchor Textual content: “[Natural, descriptive anchor text]”
* Contextual Rationale: [Brief explanation of why this link adds value in this context]
* Reader Profit: [What additional value this provides to readers]
Hyperlink 2:
* Goal URL: https://docs.python.org/3/library/csv.html
* Goal Web page Title: [Headline from CSV]
* Supply Sentence: “[Exact sentence where link should be placed]”
* Really helpful Anchor Textual content: “[Natural, descriptive anchor text]”
* Contextual Rationale: [Brief explanation of why this link adds value in this context]
* Reader Profit: [What additional value this provides to readers]
[Continue for all recommended links]
Implementation Notes:
* Excessive Precedence Hyperlinks: [Links that provide maximum reader value]
* Context Issues: [Any special placement or timing recommendations]
* Different Anchor Textual content: [Secondary anchor text options if primary doesn’t fit naturally]
High quality Validation Guidelines
For every advisable hyperlink:
* Anchor textual content is sensible when learn out of context
* Goal web page content material genuinely pertains to supply sentence subject
* An actual reader would doubtless click on for extra related data
* Anchor textual content makes use of pure, descriptive language
* Hyperlink enhances reasonably than disrupts content material stream
* Semantic themes align between supply and goal content material
________________
Generate inside hyperlink ideas that complement Google’s semantic understanding whereas offering real person worth by means of contextually related connections.
16. Meta & Snippet Wins
Rewrite title tags and descriptions tailor-made to stay SERPs to maximise click-through price (CTR) whereas differentiating from opponents.
[Input Data] Present meta title: [PASTE CURRENT TITLE] Present meta description: [PASTE CURRENT DESCRIPTION] Goal key phrase: [INSERT KEYWORD] SERP competitors: [PASTE COMPETING TITLES/DESCRIPTIONS]
[Goal Description] Rewrite metadata aligned to stay SERPs.
[Task Description] Create optimized meta titles and descriptions that stand out in SERPs whereas incorporating goal key phrases naturally. Take into account SERP actual property, click-through price optimization, and differentiation from opponents. Guarantee compliance with character limits and greatest practices.
[Output Format] Present:
* 3 Title Tag Choices (with character counts)
* 3 Meta Description Choices (with character counts)
* CTR Optimization Rationale
* Differentiation Technique
* A/B Testing Suggestions
17. Content material Enhancement
Audit a web page for inside hyperlink gaps, visuals, scannability, and takeaways, then prioritize fixes that raise engagement and conversions.
[Input Data] Content material to boost: [PASTE YOUR CONTENT OR ATTACH AS A FILE] Goal key phrases: [LIST YOUR KEYWORDS] Competitor examples: [OPTIONAL – PASTE COMPETITOR CONTENT OR ATTACH AS A FILE]
[Goal Description] Analyze [paste content] and recommend the place to: Add inside hyperlinks with anchor textual content, Add visible content material (pictures, charts, movies), Enhance scannability and takeaways.
[Task Description] Overview the content material for enhancement alternatives throughout three dimensions: inside linking alternatives with particular anchor textual content suggestions, visible content material gaps the place pictures/charts/movies would enhance understanding, and scannability enhancements for higher person expertise and engagement.
[Output Format] Enhancement plan with:
* Inside Hyperlink Alternatives (location | goal web page | anchor textual content)
* Visible Content material Suggestions (location | sort | objective)
* Scannability Enhancements (present difficulty | recommended repair)
* Key Takeaway Sections (the place so as to add summaries/highlights)
* Implementation Precedence Order
Native Search engine optimization
18. Location-Particular Content material Variations
Create distinctive, city-specific service web page variants with native context, ache factors, and schema markup.
[Input Data] Service web page content material: [PASTE YOUR SERVICE PAGE CONTENT] Goal cities: [LIST YOUR TARGET CITIES] Native market insights: [PROVIDE ANY KNOWN LOCAL DIFFERENCES]
[Goal Description] Create location-specific content material variations for this service web page: [paste content] for these cities: [list cities]
[Task Description] Generate distinctive, locally-relevant variations of your service web page for every goal metropolis. Embody native landmarks, neighborhood names, native rules, market circumstances, and community-specific ache factors. Guarantee every variation is considerably distinctive whereas sustaining model consistency.
[Output Format] For every metropolis, present:
* Localized Title Tag
* Distinctive Opening Paragraph
* Native Market Context Part
* Metropolis-Particular Ache Factors
* Native Proof/Testimonials Placement
* Neighborhood/Space Mentions
* Native Schema Markup Suggestions
19. Native FAQ Builder
Generate localized FAQ sections that tackle community-specific questions, rules, and competitor differentiators.
[Input Data] Enterprise description: [DESCRIBE YOUR BUSINESS] Metropolis/area: [INSERT YOUR CITY/REGION] Widespread buyer issues: [LIST KNOWN CONCERNS OR ATTACH AS A FILE] Native competitors: [LIST KEY COMPETITORS]
[Goal Description] Analysis and create regionally related FAQ sections for [business description] in [city/region], addressing native buyer issues. This ought to be finished through deep analysis.
[Task Description] Develop complete FAQ content material that addresses location-specific issues, native rules, area-specific service particulars, and regional variations in your providing. Embody questions on native availability, area-specific pricing, native competitors differentiators, and community-specific points.
[Output Format] FAQ sections organized by:
* Common Native Questions (5-7)
* Space-Particular Service Questions (5-7)
* Native Pricing/Availability (3-5)
* Regional Laws/Compliance (3-5)
* Native Competitors Differentiators (3-5)
* Schema Markup for FAQ
Off-Web page: Hyperlink Constructing & Digital PR
20. Backlink Hole Evaluation & Outreach Marketing campaign Generator Utilizing Deep Analysis
Determine exact page-level alternatives and generate personalised outreach emails with proof.
**[Input Data]**
1. Backlink hole information: [PASTE CSV WITH DOMAINS OR URLs FROM SEO TOOL OR ATTACH AS A FILE]
2. Our web site URLs for hyperlink placement: [PASTE LIST OF YOUR WEBSITE URLS/PAGES TO PROMOTE OR ATTACH AS A FILE]
3. Your web site area of interest/subject: [DESCRIBE YOUR WEBSITE FOCUS AND VALUE PROPOSITION]
**[Research Methodology]**
For every area/URL within the hole evaluation, execute the next analysis protocol:
**Section 1: Area Evaluation & Web page Discovery**
– If enter is URL: Extract area and analyze the linking context
– If enter is area: Discover your complete web site construction
– Search the area for related pages the place our hyperlinks would add worth:
* Website search: “website:area.com [your niche keywords]”
* Test class pages, useful resource pages, guides, listicles
* Discover weblog posts discussing subjects associated to your content material
* Determine outdated content material that wants up to date assets
* Search for damaged hyperlink alternatives
– For every related web page discovered, decide which of your supplied URLs could be one of the best match
– Doc the SPECIFIC PAGE URL from their website that ought to hyperlink to your SPECIFIC URL
**Section 2: Contact Discovery Protocol**
Execute these search queries in sequence:
1. “website:area.com contact OR about OR group OR editorial OR employees”
2. “website:area.com creator OR editor OR contributor”
3. “[domain name] content material supervisor OR editor OR head of content material website:linkedin.com”
4. Test /about, /group, /contact, /write-for-us, /contribute pages
5. Determine creator bylines on related content material sections
6. Seek for e mail patterns: firstname@, first.final@, editor@
7. Cross-reference LinkedIn profiles with area affiliation
8. If particular web page creator is recognized, prioritize them as contact
**Section 3: Outreach Personalization**
For every alternative, create e mail containing:
– Topic line referencing their particular content material
– Opening: “I used to be studying your article [EXACT TITLE] at [THEIR PAGE URL]”
– Context: Particular part/paragraph the place your useful resource provides worth
– Worth proposition: “I observed you point out [topic] – we have now a complete information at [YOUR SPECIFIC URL] that expands on this”
– Profit: How this enhances their reader’s expertise
– Name to motion: Mushy ask to overview your useful resource for inclusion
– Size: 150-200 phrases most
**[Output Format]**
Area | Their Web page URL (the place hyperlink ought to be added) | Our URL (to be linked) | Hyperlink Context/Motive | Outreach E mail Content material | Contact Individual | Contact E mail
**[Matching Logic]**
When pairing their pages along with your URLs:
– Actual subject match (highest precedence)
– Complementary content material (their overview → your detailed information)
– Useful resource gaps (they point out subject briefly → you may have full useful resource)
– Replace alternatives (their previous statistics → your present information)
– Consumer journey match (their drawback description → your answer)
**[Example Output Row]**
instance.com | instance.com/weblog/seo-basics | oursite.com/advanced-seo-guide | Their article mentions superior methods with out element – our information offers the depth | “Hello [Name], I used to be studying your article ‘Search engine optimization Fundamentals’ and observed you point out superior hyperlink constructing in part 3. We have created a complete information at oursite.com/advanced-seo-guide that covers these methods intimately. Your readers searching for to degree up out of your fundamentals article would discover this invaluable. Would you contemplate including it as a useful resource?” | John Smith | john@instance.com
**[Quality Parameters]**
– Should specify EXACT URLs for each their web page and your web page
– Should clarify WHERE on their web page the hyperlink would match (which part/context)
– E mail should reference particular content material parts from their web page
– Prioritize pages with present outbound hyperlinks in related context
– Skip irrelevant pages even when area is related
**[Fallback Protocol]**
If particular contact can’t be discovered:
– Depart contact columns empty
– Nonetheless present the web page matching and outreach template
– Be aware if solely contact kind is obtainable
Aggressive Evaluation
21. SWOT Evaluation
Construct a side-by-side Search engine optimization SWOT matrix towards a competitor, full with quantified metrics and 5 advisable actions.
[Input Data] Your Search engine optimization metrics: [PASTE YOUR KEY SEO METRICS OR ATTACH AS A FILE] Competitor identify: [INSERT COMPETITOR NAME] Competitor Search engine optimization metrics: [PASTE COMPETITOR METRICS OR ATTACH AS A FILE] Market context: [DESCRIBE YOUR MARKET]
[Goal Description] Create a SWOT evaluation evaluating our Search engine optimization technique vs [competitor name]
[Task Description] Develop a complete SWOT evaluation evaluating Search engine optimization methods. Consider technical Search engine optimization, content material high quality, backlink profiles, key phrase rankings, and general natural visibility. Embody quantitative metrics the place out there and qualitative assessments of technique effectiveness.
[Output Format] SWOT Matrix with:
* Strengths (your Search engine optimization benefits)
* Weaknesses (the place competitor excels)
* Alternatives (untapped potential)
* Threats (competitor strikes to observe)
* Strategic Suggestions (5 key actions)
* Precedence Implementation Plan
22. Competitor Protection Hole
Determine subjects, angles, and codecs opponents cowl that you simply don’t, and rank them by search quantity and enterprise relevance.
[Input Data] Competitor content material stock: [PASTE URLS OR CONTENT LIST OR ATTACH AS A FILE]
Your content material stock: [PASTE YOUR URLS OR CONTENT LIST OR ATTACH AS A FILE]
Audience: [DESCRIBE YOUR AUDIENCE]
[Goal Description] Floor angles/subjects opponents cowl that you do not.
[Task Description] Determine content material subjects, angles, and codecs that opponents are efficiently utilizing however are lacking out of your content material technique. Analyze not simply subjects but in addition content material depth, codecs, and person intent protection. Prioritize gaps primarily based on search quantity and enterprise relevance.
[Output Format] Hole evaluation together with:
* Lacking Matters (competitor has, you do not)
* Angle Variations (similar subject, completely different strategy)
* Format Gaps (content material varieties you are lacking)
* Depth Evaluation (the place opponents go deeper)
* Precedence Hole Checklist (ranked by alternative)
* Content material Creation Roadmap
Conversion Fee Optimization (CRO)
23. Touchdown Web page Conversion Audit
Audit a touchdown web page’s worth proposition, calls-to-action (CTAs), and belief indicators, then advocate A/B checks to raise conversions.
[Input Data] Screenshot: [PASTE SCREENSHOT DESCRIPTION] Conversion objective: [DESCRIBE DESIRED ACTION] Present conversion price: [PROVIDE IF KNOWN] Audience: [DESCRIBE YOUR AUDIENCE]
[Goal Description] Recommend conversion enhancements for touchdown pages/screenshots.
[Task Description] Audit the touchdown web page for conversion optimization alternatives. Consider headline effectiveness, worth proposition readability, CTA placement and duplicate, belief indicators, web page load pace indicators, cellular responsiveness, and friction factors within the conversion path.
[Output Format] Audit report with:
* Above-the-Fold Evaluation
* Worth Proposition Rating (1-10)
* CTA Effectiveness Overview
* Belief Sign Stock
* Friction Level Identification
* A/B Check Suggestions
* Precedence Repair Checklist
24. CTA & Kind Friction Optimizer
Analyze CTA copy and kind fields to flag friction factors, then suggest high-converting variations and subject reductions.
[Input Data] Present CTAs: [PASTE YOUR CTA TEXT AND PLACEMENT] Kind fields: [LIST ALL FORM FIELDS] Conversion funnel: [DESCRIBE YOUR FUNNEL STEPS] Drop-off information: [PROVIDE IF AVAILABLE]
[Goal Description] Overview CTAs and types for readability, persuasiveness, and drop-off threat. Suggest fixes.
[Task Description] Analyze all CTAs and kind parts for psychological friction, unclear messaging, and pointless complexity. Consider kind subject necessity, CTA button copy, micro-copy effectiveness, and general person stream. Determine particular friction factors inflicting drop-offs.
[Output Format] Optimization plan:
* CTA Copy Variations (3 per CTA)
* Kind Discipline Audit (maintain/take away/modify)
* Micro-copy Enhancements
* Friction Rating by Ingredient
* Progressive Disclosure Alternatives
* Anticipated Conversion Carry
Analytics & Stakeholder Communication
25. Analytics Storytelling
Translate technical Search engine optimization metrics right into a narrative of enterprise influence – site visitors, income, and return on funding (ROI) – for govt audiences.
[Input Data] Analytics information: [PASTE DATA OR ATTACH AS A FILE]
Time interval: [DATE RANGE]
Enterprise context: [BUSINESS GOALS]
Viewers: [STAKEHOLDER TYPE]
[Goal Description] Remodel technical Search engine optimization information into client-friendly enterprise insights exhibiting influence on enterprise outcomes.
[Task Description] Convert Search engine optimization metrics into compelling enterprise narrative. Translate enhancements into income influence, market features, or acquisition advantages with clear cause-and-effect relationships.
[Output Format] * Govt Abstract (3 sentences) * Key Enterprise Wins * Income/Site visitors Influence * Market Place * ROI Demonstration * Subsequent Steps * Visible Options
26. Competitor Function Mapping
Extract product options and instruments from competitor website constructions and map their worth propositions to person wants.
Competitor URLs: [PASTE URL STRUCTURE OR ATTACH CSV EXPORT]
Competitor area: [INSERT DOMAIN]
Your present options: [LIST YOUR FEATURES]
[Goal Description] Analyze competitor website structure to determine product options/instruments; output as characteristic listing with worth propositions.
[Task Description] Extract competitor options from URL construction and website structure. Determine distinctive functionalities, instruments, calculators, or interactive parts. Map every to doubtless worth proposition and person want.
[Output Format] Function stock:
* Function Identify | URL Sample | Worth Proposition | Consumer Want | Implementation Complexity | Precedence Rating
Be aware: Validate findings manually.
27. Govt Abstract Generator
Condense month-to-month Search engine optimization metrics into an executive-ready abstract with ROI highlights, prime wins, and next-month focus.
[Input Data] Month-to-month Search engine optimization metrics: [PASTE COMPREHENSIVE DATA — TRAFFIC, RANKINGS, CONVERSIONS — OR ATTACH AS A FILE]
Earlier interval: [PASTE PREVIOUS PERIOD DATA — OR ATTACH AS A FILE]
Marketing campaign actions: [LIST KEY ACTIVITIES] Funds: [AMOUNT IF RELEVANT]
[Goal Description] Create govt abstract highlighting ROI and strategic wins from month-to-month Search engine optimization efficiency.
[Task Description] Synthesize Search engine optimization information into concise govt abstract specializing in enterprise influence. Emphasize C-suite metrics: income affect, market share, aggressive wins, and effectivity features.
[Output Format] * Efficiency Headline (one impactful assertion) * ROI Spotlight * Prime 3 Strategic Wins * Key Metrics Dashboard (5 most vital) * Aggressive Place Replace * Subsequent Month Focus * Funding Advice
28. Technique-To-Presentation Converter
Remodel an Search engine optimization technique right into a C-suite deck with outcomes, aggressive benefit, and a transparent narrative arc.
[Input Data] Search engine optimization technique: [PASTE YOUR STRATEGY]
Audience: [C-SUITE ROLE/DEPARTMENT]
Presentation size: [NUMBER OF SLIDES]
Enterprise priorities: [LIST TOP PRIORITIES]
[Goal Description] Remodel Search engine optimization technique into C-suite presentation specializing in enterprise worth and aggressive benefit.
[Task Description] Convert Search engine optimization technique into govt presentation emphasizing enterprise influence and strategic alignment. Take away technical jargon, give attention to outcomes over techniques, create clear narrative from drawback to answer to outcomes.
[Output Format] Slide-by-slide define:
* Slide Title | Key Message | Supporting Knowledge | Visible Advice | Speaker Notes
Refining & Validating Prompts
To make prompts match for objective, it’s not so simple as plugging in templates, copying and pasting the output, then calling it a day. It’s vital to maintain refining each immediate as a part of your course of. As our in-house skilled in massive language mannequin (LLM) conduct, Brent Csutoras, factors out:
“Guarantee that your prompts are the best prompts and that you simply perceive the idea behind it.”
LLMs don’t perceive details the way in which we people do, as Brent places it:
“The issue you may have is that you’re asking a prediction engine to provide the reply it thinks you need primarily based on some guidelines that you simply’ve given it.”
In observe, this implies testing, adjusting, and pressure-checking your prompts. Refine them till they persistently ship outcomes that improve your workflow and productiveness.
Right here’s his recommendation that will help you just do that:
Sensible Suggestions For AI Prompting
- Cross-model testing: Run prompts throughout ChatGPT, Claude, and others. Variations in output expose weaknesses in your construction.
- Self-critique loops: Ask the AI to elucidate the way it interpreted your directions and spotlight conflicts or lacking steps.
- Venture-based prompting with artifacts: Construct structured “tasks” the place your directions, templates, and filtered datasets (artifacts) are predefined. This ensures constant, high-quality outputs each time.
- Steady enchancment: Deal with prompts as residing paperwork. Revisit them month-to-month, observe edits, and even have the AI recommend revisions primarily based on previous outputs.
We will likely be updating this listing frequently with extra immediate concepts and examples to make your Search engine optimization extra environment friendly.
Disclaimer: These Search engine optimization-focused prompts usually are not designed to be “one-size-fits-all” as a result of outcomes generated could comprise inaccuracies or incomplete information. At all times fact-check your outputs towards main sources, overview for compliance and accuracy.
Extra assets:
Featured Picture: Collagery/Shutterstock
