AI supplies some ways to reinforce 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 chances are limitless.
Increasingly 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 fundamental degree prompts of a easy paragraph, however to take your prompting to the subsequent 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 total aim, not simply your query.
- Constraints: Set guardrails or construction (outlines, rulebooks, type guides, and so forth.) in order that the outcome 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 Web optimization
- 6. Off-Web page: Hyperlink Constructing & Digital PR
- 7. Aggressive Evaluation
- 8. Conversion Price Optimization (CRO)
- 9. Analytics & Stakeholder Communication
- 10. Refining & Validating Prompts
Here’s a listing of instance expert-level prompts put collectively by our workforce at SEJ to assist with Web optimization duties. Adapt to satisfy your wants:
Key phrase Analysis
1. Jobs-To-Be-Completed Question Map
Flip buyer struggles into search demand by mapping purposeful, emotional, and social “jobs” into genuine queries, mapped by funnel stage and content material gaps.
# Jobs-To-Be-Completed Question Map Generator
## System Context
You’re a senior buyer analysis strategist with experience in Clayton Christensen’s JTBD concept, Tony Ulwick’s End result-Pushed Innovation, and Web optimization content material technique. Your process is to research matters via genuine buyer job frameworks and translate findings into actionable search question maps.
## Enter Knowledge
**Seed Matter:** [INSERT YOUR SEED TOPIC/KEYWORD]
## Evaluation Framework
Execute this in sequential phases:
### Part 1: Buyer Job Identification
Utilizing JTBD ideas, establish what clients are actually making an attempt to perform after they encounter this subject. Think about:
– **Purposeful Jobs:** What sensible process or drawback are they fixing?
– **Emotional Jobs:** What emotions are they making an attempt to realize 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 clients search
– Present answer inadequacies (struggles)
– Success standards from buyer perspective
– Genuine buyer language (keep away from company jargon)
### Part 2: Search Habits Translation
Rework recognized jobs into precise search patterns. Reference how clients naturally categorical issues versus how corporations describe options. Think about informational, navigational, business, and transactional search intents.
For every buyer job, generate:
– 3-5 particular search queries clients would really sort
– Drawback-focused vs. solution-focused question variations
– Lengthy-tail variations reflecting completely different buyer sophistication ranges
– Associated “jobs-to-be-done” key phrases (learn how to, methods to, can I, ought to I)
### Part 3: Funnel Stage Mapping
Map every question to the advertising and marketing funnel stage the place clients sometimes seek for this data. Think about that JTBD queries usually seize middle-funnel site visitors with excessive shopping for intent.
Categorize queries by stage:
– **Consciousness:** Drawback recognition and job definition
– **Consideration:** Answer analysis and method comparability
– **Determination:** Implementation confidence and supplier choice
– **Retention:** Worth maximization and job growth
### Part 4: Content material Technique Growth
Suggest content material sorts that greatest serve every buyer job and search intent, specializing in academic worth that step by step introduces options slightly 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 |
### Extra Evaluation Required:
1. **Job Prioritization Matrix:** Rank jobs by frequency and enterprise affect
2. **Content material Hole Evaluation:** Determine underserved buyer jobs
3. **Aggressive Job Mapping:** Word how opponents deal with 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 signify genuine search habits patterns
– Content material suggestions serve buyer progress, not simply Web optimization metrics
– Funnel mapping displays life like buyer journey development
– Job definitions deal with buyer outcomes, not product options
## Success Metrics
Consider suggestions in opposition to:
– **Job Completion Effectiveness:** How nicely does content material assist clients make progress?
– **Search Intent Alignment:** Do queries match precise buyer search patterns?
– **Content material Utility Rating:** Would clients discover this genuinely useful?
– **Certified Engagement Potential:** Chance of attracting ready-to-buy site visitors
Generate your evaluation following every part sequentially. **Deal with delivering the desk as your major output – hold evaluation inner and current solely the ultimate actionable outcomes.**
2. Question Fan-Out
Expands a seed key phrase into 40-60 associated queries throughout six classes (Individuals 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 classy multi-stage course of the place search engines like google and yahoo decompose a consumer’s question via a number of algorithmic steps:
### Enter Necessities
1. **Main Question**: [schema, schema seo, json ld schema]
2. **Person 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**: Parts are grouped into distinct themes based mostly on semantic relationships
3. **Hierarchical Growth**: Every theme generates sub-themes and associated ideas in a tree construction
4. **Contextual Rewriting**: Queries are reformulated based mostly on consumer 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 based mostly 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 (folks, 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 major themes the place every theme:**
– Represents a definite informational side
– Has outlined semantic boundaries (what’s included/excluded)
– Incorporates a “centroid” idea (most consultant aspect)
– Contains “peripheral” ideas (boundary parts)
**Theme Technology Guidelines:**
1. Every theme should deal with a distinct consumer 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 Development
For every theme, construct a question tree with these ranges:
**Stage 1 – Root Queries** (Direct theme illustration)
– Most normal type of the theme
– Instance: “sustainable advertising and marketing strategies”
**Stage 2 – Side Queries** (Particular sides)
– Break root into 3-4 distinct facets
– Instance: “environmental affect of digital advertising and marketing”
**Stage 3 – Element Queries** (Granular questions)
– Particular, actionable queries
– Instance: “carbon footprint of electronic mail campaigns calculation”
**Stage 4 – Context Queries** (Situational variations)
– Modified by consumer context
– Instance: “electronic mail carbon footprint for B2B SaaS corporations”
#### Stage 4: Question Rewriting Mechanisms
Apply these rewriting patterns to every base question:
**1. Lexical Substitution**
– Substitute phrases with synonyms/associated phrases
– “methods” → “ways”, “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**
– Data → Motion: “what’s X” → “learn how to 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 learners”, “…superior strategies”
– 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 (mother or father, youngster, 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 × Matter Protection) +
(0.15 × Person Context Match) +
(0.10 × Question Uniqueness)
“`
**The place:**
– Semantic Relevance: Cosine similarity to seed question
– Intent Alignment: Match to specified consumer intent
– Matter Protection: How a lot new data it provides
– Person Context Match: Relevance to consumer’s experience/business
– Question Uniqueness: Inverse of overlap with different queries
### Output Format
Generate a hierarchical construction displaying 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 essential?” → “The way to measure X?” → “Instruments for X”
**2. Faceted Exploration**
– Generate queries exploring completely different sides concurrently
– Sides: Value, Time, High quality, Issue, Alternate 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:
– [ ] Incorporates 40-60 complete queries throughout all themes
– [ ] Has clear hierarchical depth (4 ranges)
– [ ] Exhibits express entity relationships
– [ ] Contains each convergent and divergent expansions
– [ ] Demonstrates contextual variations
– [ ] Maintains semantic coherence inside themes
– [ ] Exhibits pure question progressions
– [ ] Covers a number of consumer intents
## OUTPUT FORMATTING REQUIREMENTS
**CRITICAL: Generate fan-out queries as article headings construction for Web optimization content material creation:**
### Content material Context
The fan-out queries must 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 bit 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
– **Web optimization optimized**: Embrace goal key phrases naturally in headings
– **Logical move**: Headings ought to comply with a pure article development
– **Person intent**: Every heading addresses particular consumer questions/wants
### Formatting Guidelines
– **Maintain all reasoning and algorithmic steps** – execute the complete 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 complete headings**
– **4-6 H2 sections with 3-5 H3s every. Add numbers in entrance of for simpler scannability**
– **Embrace content material move displaying logical article development**
– **Headings must be actionable and particular**
-**Generate your evaluation following every part sequentially. Deal with delivering your major output – hold evaluation inner and current solely the ultimate actionable outcomes**
3. Content material Optimization For Question Fan-Out
Audit your current content material in opposition to 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. **Main Matter/Key phrase**: [MAIN SUBJECT OF YOUR CONTENT]
3. **Goal Viewers**: [Beginner/Intermediate/Expert | Industry]
4. **Content material Objective**: [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 Main Entities**: Determine most important ideas, merchandise, companies, or matters mentioned
– **Determine Attributes**: Discover descriptive parts (high quality, dimension, time, value)
– **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 probably 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 Technology
For every recognized theme, create:
– **Stage 1**: Broad queries concerning the theme
– **Stage 2**: Particular facets 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 deal with
– **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
– **Reasonable depth** (explanations): 4-6
– **Complete** (actionable particulars): 7-9
– **Knowledgeable degree** (nuanced insights): 10
### Stage 4: Hole Identification & Prioritization
#### 4.1 Vital Gaps (Should Deal with)
– Centroid queries of most important themes not lined
– Fundamental “what’s” questions unanswered
– Main entity relationships lacking
– Person intent misalignment
#### 4.2 Alternative Gaps (Ought to Deal with)
– Comparability queries not lined
– How-to/implementation particulars lacking
– Various options not mentioned
– Widespread issues/objections unaddressed
#### 4.3 Enhancement Gaps (May 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 must be formatted as an **improved article define (H2/H3 tags)** that comprehensively covers each current content material and recognized gaps. This creates an Web 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]
Authentic 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 current sections + new gap-filling sections
– **H3 headings**: Particular queries that weren’t lined + maintained current content material
– **Hole indicators**: Mark new sections addressing recognized question gaps
– **Pure language**: Write as precise article headings for consumer readability
– **Web optimization optimized**: Embrace goal key phrases and associated question phrases naturally
– **Logical move**: Keep content material development whereas filling gaps
– **Person intent**: Every heading addresses particular recognized lacking queries
### Formatting Guidelines
– **Maintain all reasoning and algorithmic steps** – execute the complete 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 deal with recognized gaps
– **Keep current sections** that already cowl queries nicely
– **Most 20-25 complete headings** for complete however manageable define
– **Embrace content material move displaying how sections join logically**
– **Deal with question protection completeness** guaranteeing no main gaps stay
4. Cluster Key phrase Listing By Alternative
Group key phrases into clusters mapped to current 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 web site construction: [LIST YOUR MAIN PAGES/CATEGORIES]
[Goal Description] Given a key phrase export [CSV], group phrases into clusters mapped to pages. Spotlight clusters that signify strategic alternatives. Word: When export already contains search volumes from the software, no further validation step is required.
[Task Description] Analyze the key phrase listing and group semantically associated phrases into clusters. Map every cluster to current pages or establish wants for brand new pages. Calculate alternative scores based mostly on mixed search quantity, competitors indicators (if accessible), and enterprise relevance. Prioritize clusters that signify untapped or high-value alternatives.
[Output Format] Ship:
* Key phrase Clusters (grouped phrases with complete quantity)
* Web page Mapping (cluster → current web page or “new web page wanted”)
* Alternative Rating (based mostly 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 establish movers, new entrants, drop-offs, and have adjustments, then extract aggressive implications and really useful actions.
[Input Data] SERP knowledge level 1: [PASTE SERP RANKINGS/SCREENSHOTS FROM DATE 1 OR ATTACH AS A FILE] SERP knowledge 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 cut-off dates [data/screenshots] and summarize rating shifts, new entrants, and drop-offs.
[Task Description] Analyze the 2 SERP snapshots to establish 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 counsel 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 Modifications
* Strategic Implications
* Really helpful Actions
6. SERP Intent Analyzer
Break down prime SERP outcomes to establish 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 supply a strategic, actionable content material plan. The aim is to create content material that not solely ranks but additionally genuinely satisfies consumer wants and outperforms opponents. Your output have to 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]
* Optionally available: Contextual Data: [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 consumer’s intent. Pay shut consideration to any particular content material outcome blocks (SCRBs) or SERP options which can be 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 consumer is seeking to be taught, discover a solution to a query, or discover a subject. That is the commonest search intent and may vary from easy info to advanced, in-depth matters.
* Navigational (“Go”): The consumer is looking for a selected web site or model (e.g., trying to find “Fb login”).
* Transactional (“Do”): The consumer intends to make a purchase order or full a selected motion.
* Business Investigation: The consumer is researching services or products earlier than making a purchase order (e.g., searching for “greatest trainers”).
3. Determine Secondary Intent Alerts: Search for different, much less dominant consumer intents or interpretations which can be additionally current within the SERP. As an example, a primarily informational SERP may also comprise outcomes that counsel 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 know 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 embody 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) matters, that is particularly crucial. Word how opponents set up their credentials (e.g., creator bios, citations, knowledgeable evaluations).
5. Synthesize Suggestions: Primarily based on a holistic evaluation of the above, present a structured and actionable content material technique. The suggestions must be particular sufficient to information content material creation straight.
Output Format:
Your output have to be structured with the next sections, utilizing clear and concise language.
1. Main Search Intent Classification:
* State the dominant intent (e.g., “Informational”).
* Present a quick justification based mostly on the top-ranking outcomes and the character of the question.
2. Secondary Intent Alerts:
* Listing another related intents which can be current within the SERP.
* Present examples from the SERP knowledge 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 matters which can be crucial 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 consumer questions (drawn from ‘Individuals Additionally Ask’ packing containers if current).”
4. Content material Format Suggestions:
* Specify the perfect content material format(s) for the brand new web page (e.g., “Lengthy-form weblog submit (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, Individuals Additionally Ask, Video Carousel, Native Pack, AI Overviews) that seem within the SERP knowledge.
* For every recognized characteristic, counsel a selected content material optimization technique to extend the chance of profitable that spot. As an example, “To focus on the Featured Snippet, embody 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 consumer expertise in comparison with the highest opponents. This part is about going past merely matching the SERP and offering true added worth.
* Examples may embody: “Incorporate authentic analysis or a proprietary research,” “Embrace an interactive software or calculator,” or “Function a testimonial or quote from a acknowledged business knowledgeable.”
Content material Technique
7. Intent-Primarily based Title Generator
Create a number of Web 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 consumer intents and psychological triggers, whereas retaining Web optimization greatest practices in thoughts.
Enter Necessities:
* Matter/key phrase: [insert topic/keyword]
* Audience: [insert audience]
Tips:
1. Create titles which can be 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 data)
* Authority/credibility sign
* Urgency/timeliness
* Drawback-agitation
* Contrarian/myth-busting
* Social proof
* How-to/academic
* Listing/useful resource format
* Comparability/versus
Output Format:
Current leads to 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 knowledge, cannibalization checks, and 24-month pattern evaluation.
# ROLE
You’re a senior Web 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 by way of contemporary exterior sources.
2) Determine: UPDATE the web page below the identical URL vs. create a NEW PAGE (or MERGE), based mostly on intent shift, freshness gaps, and cannibalization danger.
3) Present a succinct, actionable plan.
# RESEARCH RULES (no guessing)
– Browse the stay internet. Prioritize major sources, official docs, and knowledge throughout the final 12–24 months (except evergreen).
– For every reality/date/worth/legislation/characteristic/stat referenced or implied by the content material, confirm in opposition to a minimum of 1–2 present sources. Seize supply title, writer, and publication/replace date.
– Verify the present SERP: prime rating pages, their focus/intent, and visual SERP options (e.g., PAA, video, buying, information, native pack).
– Verify consumer 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 web site overlap verify (web site:area question) to identify inner cannibalization candidates.
# ANALYSIS STEPS
1) Extract & Label Info
– From page_content, listing each time-sensitive declare (numbers, years, steps, insurance policies, product options, screenshots, software 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 right this moment’s prime SERP outcomes: intent (data/evaluate/transactional/native), construction (how-to, guidelines, software, glossary), depth, freshness, and distinctive property (calculator, template, video).
– Word any significant SERP shifts because the content material’s probably publish/replace timeframe.
3) Person 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 danger utilizing: question/subject overlap depth (40%), intent similarity (30%), on-site title/slug redundancy (20%), URL proximity (10%).
– Present subscores + weighted math and title any URL to consolidate.
5) Feasibility Determination
– Select precisely one: UPDATE vs NEW PAGE vs MERGE vs NO ACTION.
– Use this resolution logic:
• UPDATE if intent continues 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 right this moment’s SERP is distinct (e.g., software/comparability/native pack) or increasing would dilute the present web page’s focus.
• MERGE if one other inner 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), inner hyperlinks (supply → anchor → goal), meta title/description draft, and schema ideas.
– Measurement plan: major 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:** right this moment’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 counsel elimination or impartial phrasing.
– Choose retaining the identical URL if intent hasn’t modified and fairness is powerful; solely suggest NEW PAGE when intent/format clearly diverges.
– Maintain complete output ~400–700 phrases except many info 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 knowledgeable Web 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 aim is to research the supplied content material in opposition to Google’s high quality requirements, particularly specializing in E-E-A-T. You’ll establish areas the place the content material may be improved to higher exhibit credibility and experience, that are essential for rating, particularly for Your Cash or Your Life (YMYL) matters. Your suggestions must be sensible and intention to strengthen consumer belief and search engine recognition.
[INPUT DATA]
* Content material to Analyze: [PASTE YOUR CONTENT HERE]
* Writer Data: [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 fundamental 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 fame of each the creator and the web site as a go-to supply for the subject. Verify for creator credentials, exterior citations from respected sources, and inner linking to different authoritative content material on the location.
4. Determine Trustworthiness Alerts: Discover all parts that construct consumer confidence. Search for clear citations, verifiable proof, transparency (e.g., disclosure insurance policies), security measures (e.g., HTTPS), {and professional} presentation. Belief is an important element of E-E-A-T, as untrustworthy pages have low E-E-A-T no matter different components.
[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 supply a complete evaluation.
* Keep away from producing generic or placeholder textual content. If a selected element of the output format can’t be accomplished with significant knowledge, state the rationale clearly within the corresponding part.
* Prioritize actionable, particular suggestions over normal recommendation. For instance, as a substitute of claiming “enhance content material,” counsel “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 must be goal and based mostly on established Web 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 Factor
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 essentially the most crucial 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 learn how to 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 yr of Web optimization content material with seasonal tie-ins, business occasions, and key phrase themes mapped to enterprise aims.
[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 aims. Embrace content material sorts, 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 Subjects (5) | Seasonal Tie-ins | Trade Occasions | Content material Varieties
11. Consolidation Technique
Analyze overlapping content material, suggest merges or redirects, and produce a migration map that preserves Web 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]. Counsel a consolidation technique.
[Task Description] Analyze all supplied content material for topical overlap, key phrase cannibalization, and redundant data. Determine which pages must be consolidated, which ought to stay separate, and learn how to merge content material whereas preserving Web optimization worth. Think about redirect methods and content material migration paths.
[Output Format] Ship:
* Redundancy Matrix (overlap percentages)
* Consolidation Suggestions (merge/hold/delete)
* Main Web page Choice (which turns into the canonical)
* Content material Migration Map
* Redirect Plan
* Anticipated Web optimization Impression
12. Editorial QA Guidelines
Run AI-written or draft content material via a QA filter for originality, hallucinations, citations, and magnificence alignment earlier than publication.
[Input Data] Draft content material: [PASTE YOUR DRAFT] Goal key phrases: [LIST YOUR KEYWORDS] Model tips: [PASTE KEY GUIDELINES] Supply supplies: [LIST/LINK SOURCES]
[Goal Description] [Deep research mode only] Consider drafts for originality, hallucination, citations, and magnificence.
[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 tips. Confirm all statistics and claims in opposition to supplied sources.
[Output Format] QA Report together with:
* Originality Rating (with flagged passages)
* Potential Hallucinations/Inaccuracies
* Quotation Audit (lacking/wanted)
* Type Consistency Points
* Model Voice Alignment
* Truth-Verify Outcomes
* Precedence Revisions
13. Competitor Content material Technique Evaluation
Deconstruct competitor content material pillars, codecs, and engagement ways to floor strategic differentiation alternatives.
[Your Task]
You’re an knowledgeable content material strategist with deep experience in aggressive evaluation, market positioning, and content material differentiation. Your function is to conduct an intensive strategic evaluation that goes past surface-level evaluation to uncover actionable aggressive intelligence.
Enter Parameters
Main 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 via 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 sorts and codecs utilized
* Publishing frequency and consistency patterns
* Cross-channel content material repurposing methods
2. Viewers Intelligence & Concentrating on
Viewers Segmentation:
* Main and secondary audiences being focused
* Viewers journey levels addressed
* Ache factors and aspirations being addressed
Engagement Psychology:
* Emotional triggers and persuasion strategies used
* Group constructing and viewers retention methods
* Person-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
Web 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
Data 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 strategies and narrative constructions
* Case research and social proof integration
Person 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 out there
* Pricing technique reflection in content material method
* Goal market overlap and differentiation
Model Persona Evaluation:
* Voice, tone, and communication type patterns
* Model values mirrored via content material decisions
* Cultural and social positioning methods
6. Innovation & Development Management
Content material Innovation Evaluation:
* Early adoption of recent 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
* Authentic analysis and knowledge 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
Government Abstract
* Key aggressive insights and strategic implications
* Prime 3 differentiation alternatives with highest ROI potential
* Vital motion gadgets for speedy 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
* Person 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:
* Matter 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 method
* Proprietary knowledge, insights, or experience to spotlight
* Partnership or collaboration alternatives
6. Implementation Roadmap Part 1 (0-3 months): Fast Wins
* Excessive-impact, low-effort differentiation ways
* Content material optimization alternatives
* Speedy gap-filling content material creation
Part 2 (3-6 months): Strategic Builds
* Main content material pillar growth
* New format or channel experimentation
* Thought management marketing campaign growth
Part 3 (6-12 months): Market Management
* Trade-leading content material initiatives
* Authentic analysis and knowledge creation
* Group constructing and ecosystem growth
Strategic Success Metrics
Content material Efficiency KPIs:
* Engagement fee enhancements
* Search rating enhancements for goal key phrases
* Lead technology and conversion metrics
Aggressive Positioning Metrics:
* Share of voice in goal matters
* Model point out sentiment evaluation
* Market place motion indicators
Enterprise Impression Indicators:
* Pipeline affect and attribution
* Buyer acquisition value 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
* Evaluation 3-6 month content material publishing patterns
Objectivity Requirements:
* Present evidence-based assessments
* Acknowledge competitor strengths truthfully
* Deal with strategic alternatives slightly than criticism
Actionability Focus:
* Each perception ought to hook up with particular motion gadgets
* Prioritize suggestions by affect and feasibility
* Embrace 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 isn’t just 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 establish 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 healthier than my [paste content] and counsel enhancements.
[Task Description] Analyze all first-page outcomes for the goal key phrase. Examine their content material construction, depth, distinctive insights, media utilization, and consumer expertise parts in opposition to 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 rely, element degree)
* Distinctive Parts (options you lack)
* Enchancment Precedence Listing
* Implementation Roadmap
On-Web page, Schema & Inside Hyperlinks
15. Inside Hyperlink Anchor Textual content Optimizer
Generate semantically pure, reader-first inner hyperlinks with descriptive anchor textual content that aligns with Google’s tips.
Context & Position
You’re an knowledgeable Web optimization strategist specializing in semantic inner 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 search engines like google and yahoo by following Google’s descriptive anchor textual content tips slightly than keyword-stuffing approaches.
Enter Knowledge Necessities
Website URL Stock:
* CSV knowledge with web site 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 counsel semantically acceptable inner hyperlinks with pure anchor textual content that will genuinely profit readers. Deal with sentence-level contextual relevance slightly than key phrase focusing on.
Evaluation Methodology
Step 1: Content material Context Evaluation
* Determine the principle matters and subtopics mentioned within the article
* Map the semantic themes and pure dialogue move
* Find sentences that might profit from supporting data
* Discover contexts the place readers would naturally search extra 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 take a look at: Would an actual reader click on this hyperlink for related extra 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 take a look at
* 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 supplies real worth to readers
* Use pure language that flows with the sentence
* Think about the precise sentence context, not simply total matters
* Guarantee anchor textual content is smart 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 move
* Counsel hyperlinks readers would by no means realistically click on
Validation Verify:
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 will 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/
* Important Subjects 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]
* Various Anchor Textual content: [Secondary anchor text options if primary doesn’t fit naturally]
High quality Validation Guidelines
For every really useful hyperlink:
* Anchor textual content is smart when learn out of context
* Goal web page content material genuinely pertains to supply sentence subject
* An actual reader would probably click on for added related data
* Anchor textual content makes use of pure, descriptive language
* Hyperlink enhances slightly than disrupts content material move
* Semantic themes align between supply and goal content material
________________
Generate inner hyperlink ideas that complement Google’s semantic understanding whereas offering real consumer worth via contextually related connections.
16. Meta & Snippet Wins
Rewrite title tags and descriptions tailor-made to stay SERPs to maximise click-through fee (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. Think about SERP actual property, click-through fee 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 inner 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 counsel the place to: Add inner hyperlinks with anchor textual content, Add visible content material (photos, charts, movies), Enhance scannability and takeaways.
[Task Description] Evaluation the content material for enhancement alternatives throughout three dimensions: inner linking alternatives with particular anchor textual content suggestions, visible content material gaps the place photos/charts/movies would enhance understanding, and scannability enhancements for higher consumer expertise and engagement.
[Output Format] Enhancement plan with:
* Inside Hyperlink Alternatives (location | goal web page | anchor textual content)
* Visible Content material Suggestions (location | sort | function)
* Scannability Enhancements (present challenge | urged repair)
* Key Takeaway Sections (the place so as to add summaries/highlights)
* Implementation Precedence Order
Native Web 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. Embrace native landmarks, neighborhood names, native laws, 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 deal with community-specific questions, laws, and competitor differentiators.
[Input Data] Enterprise description: [DESCRIBE YOUR BUSINESS] Metropolis/area: [INSERT YOUR CITY/REGION] Widespread buyer considerations: [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 considerations. This must be executed by way of deep analysis.
[Task Description] Develop complete FAQ content material that addresses location-specific considerations, native laws, area-specific service particulars, and regional variations in your providing. Embrace 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 customized outreach emails with proof.
**[Input Data]**
1. Backlink hole knowledge: [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:
**Part 1: Area Evaluation & Web page Discovery**
– If enter is URL: Extract area and analyze the linking context
– If enter is area: Discover your entire web site construction
– Search the area for related pages the place our hyperlinks would add worth:
* Website search: “web site:area.com [your niche keywords]”
* Verify class pages, useful resource pages, guides, listicles
* Discover weblog posts discussing matters associated to your content material
* Determine outdated content material that wants up to date sources
* 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 web site that ought to hyperlink to your SPECIFIC URL
**Part 2: Contact Discovery Protocol**
Execute these search queries in sequence:
1. “web site:area.com contact OR about OR workforce OR editorial OR employees”
2. “web site:area.com creator OR editor OR contributor”
3. “[domain name] content material supervisor OR editor OR head of content material web site:linkedin.com”
4. Verify /about, /workforce, /contact, /write-for-us, /contribute pages
5. Determine creator bylines on related content material sections
6. Seek for electronic 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
**Part 3: Outreach Personalization**
For every alternative, create electronic 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’ve a complete information at [YOUR SPECIFIC URL] that expands on this”
– Profit: How this enhances their reader’s expertise
– Name to motion: Smooth ask to overview your useful resource for inclusion
– Size: 150-200 phrases most
**[Output Format]**
Area | Their Web page URL (the place hyperlink must be added) | Our URL (to be linked) | Hyperlink Context/Cause | Outreach E-mail Content material | Contact Particular person | 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 knowledge)
– Person 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 strategies with out element – our information supplies the depth | “Hello [Name], I used to be studying your article ‘Web 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 strategies intimately. Your readers in search of to degree up out of your fundamentals article would discover this beneficial. 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 current outbound hyperlinks in related context
– Skip irrelevant pages even when area is related
**[Fallback Protocol]**
If particular contact can’t be discovered:
– Go away contact columns empty
– Nonetheless present the web page matching and outreach template
– Word if solely contact type is out there
Aggressive Evaluation
21. SWOT Evaluation
Construct a side-by-side Web optimization SWOT matrix in opposition to a competitor, full with quantified metrics and 5 really useful actions.
[Input Data] Your Web optimization metrics: [PASTE YOUR KEY SEO METRICS OR ATTACH AS A FILE] Competitor title: [INSERT COMPETITOR NAME] Competitor Web optimization metrics: [PASTE COMPETITOR METRICS OR ATTACH AS A FILE] Market context: [DESCRIBE YOUR MARKET]
[Goal Description] Create a SWOT evaluation evaluating our Web optimization technique vs [competitor name]
[Task Description] Develop a complete SWOT evaluation evaluating Web optimization methods. Consider technical Web optimization, content material high quality, backlink profiles, key phrase rankings, and total natural visibility. Embrace quantitative metrics the place accessible and qualitative assessments of technique effectiveness.
[Output Format] SWOT Matrix with:
* Strengths (your Web 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 matters, angles, and codecs opponents cowl that you just 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/matters opponents cowl that you do not.
[Task Description] Determine content material matters, angles, and codecs that opponents are efficiently utilizing however are lacking out of your content material technique. Analyze not simply matters but additionally content material depth, codecs, and consumer intent protection. Prioritize gaps based mostly on search quantity and enterprise relevance.
[Output Format] Hole evaluation together with:
* Lacking Subjects (competitor has, you do not)
* Angle Variations (identical subject, completely different method)
* Format Gaps (content material sorts you are lacking)
* Depth Evaluation (the place opponents go deeper)
* Precedence Hole Listing (ranked by alternative)
* Content material Creation Roadmap
Conversion Price Optimization (CRO)
23. Touchdown Web page Conversion Audit
Audit a touchdown web page’s worth proposition, calls-to-action (CTAs), and belief indicators, then suggest A/B checks to raise conversions.
[Input Data] Screenshot: [PASTE SCREENSHOT DESCRIPTION] Conversion aim: [DESCRIBE DESIRED ACTION] Present conversion fee: [PROVIDE IF KNOWN] Audience: [DESCRIBE YOUR AUDIENCE]
[Goal Description] Counsel 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 velocity indicators, cell responsiveness, and friction factors within the conversion path.
[Output Format] Audit report with:
* Above-the-Fold Evaluation
* Worth Proposition Rating (1-10)
* CTA Effectiveness Evaluation
* Belief Sign Stock
* Friction Level Identification
* A/B Check Suggestions
* Precedence Repair Listing
24. CTA & Kind Friction Optimizer
Analyze CTA copy and type fields to flag friction factors, then suggest high-converting variations and area 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 knowledge: [PROVIDE IF AVAILABLE]
[Goal Description] Evaluation CTAs and types for readability, persuasiveness, and drop-off danger. Suggest fixes.
[Task Description] Analyze all CTAs and type parts for psychological friction, unclear messaging, and pointless complexity. Consider type area necessity, CTA button copy, micro-copy effectiveness, and total consumer move. Determine particular friction factors inflicting drop-offs.
[Output Format] Optimization plan:
* CTA Copy Variations (3 per CTA)
* Kind Discipline Audit (hold/take away/modify)
* Micro-copy Enhancements
* Friction Rating by Factor
* Progressive Disclosure Alternatives
* Anticipated Conversion Raise
Analytics & Stakeholder Communication
25. Analytics Storytelling
Translate technical Web optimization metrics right into a narrative of enterprise affect – site visitors, income, and return on funding (ROI) – for government audiences.
[Input Data] Analytics knowledge: [PASTE DATA OR ATTACH AS A FILE]
Time interval: [DATE RANGE]
Enterprise context: [BUSINESS GOALS]
Viewers: [STAKEHOLDER TYPE]
[Goal Description] Rework technical Web optimization knowledge into client-friendly enterprise insights displaying affect on enterprise outcomes.
[Task Description] Convert Web optimization metrics into compelling enterprise narrative. Translate enhancements into income affect, market beneficial properties, or acquisition advantages with clear cause-and-effect relationships.
[Output Format] * Government Abstract (3 sentences) * Key Enterprise Wins * Income/Visitors Impression * Market Place * ROI Demonstration * Subsequent Steps * Visible Options
26. Competitor Function Mapping
Extract product options and instruments from competitor web site constructions and map their worth propositions to consumer wants.
Competitor URLs: [PASTE URL STRUCTURE OR ATTACH CSV EXPORT]
Competitor area: [INSERT DOMAIN]
Your present options: [LIST YOUR FEATURES]
[Goal Description] Analyze competitor web site structure to establish product options/instruments; output as characteristic listing with worth propositions.
[Task Description] Extract competitor options from URL construction and web site structure. Determine distinctive functionalities, instruments, calculators, or interactive parts. Map every to probably worth proposition and consumer want.
[Output Format] Function stock:
* Function Title | URL Sample | Worth Proposition | Person Want | Implementation Complexity | Precedence Rating
Word: Validate findings manually.
27. Government Abstract Generator
Condense month-to-month Web optimization metrics into an executive-ready abstract with ROI highlights, prime wins, and next-month focus.
[Input Data] Month-to-month Web 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 government abstract highlighting ROI and strategic wins from month-to-month Web optimization efficiency.
[Task Description] Synthesize Web optimization knowledge into concise government abstract specializing in enterprise affect. Emphasize C-suite metrics: income affect, market share, aggressive wins, and effectivity beneficial properties.
[Output Format] * Efficiency Headline (one impactful assertion) * ROI Spotlight * Prime 3 Strategic Wins * Key Metrics Dashboard (5 most essential) * Aggressive Place Replace * Subsequent Month Focus * Funding Advice
28. Technique-To-Presentation Converter
Rework an Web optimization technique right into a C-suite deck with outcomes, aggressive benefit, and a transparent narrative arc.
[Input Data] Web optimization technique: [PASTE YOUR STRATEGY]
Audience: [C-SUITE ROLE/DEPARTMENT]
Presentation size: [NUMBER OF SLIDES]
Enterprise priorities: [LIST TOP PRIORITIES]
[Goal Description] Rework Web optimization technique into C-suite presentation specializing in enterprise worth and aggressive benefit.
[Task Description] Convert Web optimization technique into government presentation emphasizing enterprise affect and strategic alignment. Take away technical jargon, deal with outcomes over ways, 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 function, it’s not so simple as plugging in templates, copying and pasting the output, then calling it a day. It’s essential to maintain refining each immediate as a part of your course of. As our in-house knowledgeable in giant language mannequin (LLM) habits, Brent Csutoras, factors out:
“Be sure that your prompts are the appropriate prompts and that you just perceive the speculation behind it.”
LLMs don’t perceive info 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 based mostly on some guidelines that you just’ve given it.”
In follow, this implies testing, adjusting, and pressure-checking your prompts. Refine them till they constantly ship outcomes that improve your workflow and productiveness.
Right here’s his recommendation that can assist 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.
- Mission-based prompting with artifacts: Construct structured “initiatives” 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, monitor edits, and even have the AI counsel revisions based mostly on previous outputs.
We can be updating this listing regularly with extra immediate concepts and examples to make your Web optimization extra environment friendly.
Disclaimer: These Web optimization-focused prompts are usually not designed to be “one-size-fits-all” as a result of outcomes generated could comprise inaccuracies or incomplete knowledge. All the time fact-check your outputs in opposition to major sources, overview for compliance and accuracy.
Extra sources:
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