AI gives some ways to reinforce and help how SEOs work. From analyzing SERP intent, to brainstorming content material technique for brand spanking new pages, to operating aggressive evaluation, to producing stakeholder-ready shows, the probabilities are infinite.
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 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 job, be particular concerning the activity, and description the information 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, fashion guides, and so on.) in order that the outcome will fall inside your expectations and keep away from off-target solutions.
Here’s a checklist of instance expert-level prompts put collectively by our group at SEJ to assist with Search engine 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 useful, 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 idea, Tony Ulwick's Consequence-Pushed Innovation, and Search engine optimization content material technique. Your activity is to research subjects by genuine buyer job frameworks and translate findings into actionable search question maps.
## Enter Information
**Seed Matter:** [INSERT YOUR SEED TOPIC/KEYWORD]
## Evaluation Framework
Execute this in sequential phases:
### Section 1: Buyer Job Identification
Utilizing JTBD ideas, determine what clients are actually attempting to perform after they encounter this matter. Contemplate:
- **Practical Jobs:** What sensible activity or drawback are they fixing?
- **Emotional Jobs:** What emotions are they attempting to realize or keep away from?
- **Social Jobs:** How do they need to be perceived by others?
- **Progress State of affairs:** What circumstances set off the necessity for progress?
For every job kind, doc:
- The precise progress clients search
- Present answer inadequacies (struggles)
- Success standards from buyer perspective
- Genuine buyer language (keep away from company jargon)
### Section 2: Search Habits Translation
Rework recognized jobs into precise search patterns. Reference how clients naturally categorical issues versus how corporations describe options. Contemplate informational, navigational, industrial, and transactional search intents.
For every buyer job, generate:
- 3-5 particular search queries clients would truly kind
- Drawback-focused vs. solution-focused question variations
- Lengthy-tail variations reflecting completely different buyer sophistication ranges
- Associated "jobs-to-be-done" key phrases (how one can, methods to, can I, ought to I)
### Section 3: Funnel Stage Mapping
Map every question to the advertising funnel stage the place clients sometimes seek for this info. Contemplate 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:** Resolution analysis and strategy comparability
- **Determination:** Implementation confidence and supplier choice
- **Retention:** Worth maximization and job enlargement
### Section 4: Content material Technique Improvement
Suggest content material varieties that finest serve every buyer job and search intent, specializing in instructional worth that progressively introduces options somewhat than direct promotion.
## Output Format
Create a complete desk with these columns:
| Buyer Job | Job Sort | Genuine Buyer Language | Instance Search Queries | Search Intent | Funnel Stage | Content material Sort Suggestion | Precedence Rating |
### Further 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:** Observe how rivals 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 signify genuine search habits patterns
- Content material suggestions serve buyer progress, not simply Search engine optimization metrics
- Funnel mapping displays life like buyer journey development
- Job definitions give attention to buyer outcomes, not product options
## Success Metrics
Consider suggestions towards:
- **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 section sequentially. **Give attention to delivering the desk as your main 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 complicated multi-stage course of the place serps decompose a person's question by a number of algorithmic steps:
### Enter Necessities
1. **Main 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 inside the question
2. **Thematic Clustering**: Elements are grouped into distinct themes based mostly on semantic relationships
3. **Hierarchical Enlargement**: Every theme generates sub-themes and associated ideas in a tree construction
4. **Contextual Rewriting**: Queries are reformulated based mostly 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 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 (individuals, locations, merchandise, ideas)
- **Attributes**: Extract descriptive properties (measurement, colour, high quality, temporal)
- **Relationships**: Map connections between entities (comparisons, dependencies, hierarchies)
- **Actions/Intents**: Determine verbs and implied actions
Instance: "finest sustainable advertising 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 side
- Has outlined semantic boundaries (what's included/excluded)
- Accommodates a "centroid" idea (most consultant aspect)
- Consists of "peripheral" ideas (boundary parts)
**Theme Technology Guidelines:**
1. Every theme should tackle a unique 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 strategies"
**Stage 2 - Facet Queries** (Particular aspects)
- Break root into 3-4 distinct elements
- Instance: "environmental affect of digital advertising"
**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" → "ways", "approaches", "strategies"
**2. Structural Reformulation**
- Assertion → Query: "sustainable advertising" → "what makes advertising sustainable?"
- Broad → Particular: "advertising methods" → "content material advertising methods"
- Summary → Concrete: "finest practices" → "step-by-step information"
**3. Intent Transformation**
- Info → Motion: "what's X" → "how one can implement X"
- Basic → Comparative: "good methods" → "X vs Y methods"
- Single → A number of: "finest technique" → "high 5 methods"
**4. Contextual Augmentation**
- Add temporal context: "...in 2024", "...post-COVID"
- Add experience degree: "...for inexperienced persons", "...superior methods"
- Add business particular: "...for SaaS", "...in healthcare"
#### Stage 5: Entity-Based mostly Enlargement
**Data Graph Integration:**
1. Map every entity to its information graph node
2. Retrieve associated entities (mum or dad, little one, 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 × Consumer Context Match) +
(0.10 × Question Uniqueness)
```
**The place:**
- Semantic Relevance: Cosine similarity to seed question
- Intent Alignment: Match to specified person intent
- Matter Protection: How a lot new info 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 displaying the entire fan-out:
```
SEED QUERY: [Original Query]
│
├── THEME 1: [Theme Name]
│ ├── Centroid: [Most representative query]
│ ├── Root Question: [Level 1]
│ │ ├── Facet 1: [Level 2]
│ │ │ ├── Element Question 1: [Level 3]
│ │ │ │ └── Context Variation: [Level 4]
│ │ │ └── Element Question 2: [Level 3]
│ │ └── Facet 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 Sort | 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 necessary?" → "How one can measure X?" → "Instruments for X"
**2. Faceted Exploration**
- Generate queries exploring completely different aspects concurrently
- Aspects: Value, 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:
- [ ] Accommodates 40-60 complete 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 must be formatted as **article headings (H2/H3 tags)** that may comprehensively cowl the seed key phrase matter 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 circulation**: Headings ought to observe a pure article development
- **Consumer intent**: Every heading addresses particular person questions/wants
### Formatting Guidelines
- **Hold 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 complete headings**
- **4-6 H2 sections with 3-5 H3s every. Add numbers in entrance of for simpler scannability**
- **Embody content material circulation displaying logical article development**
- **Headings must be actionable and particular**
-**Generate your evaluation following every section sequentially. Give attention to delivering your main output - hold evaluation inner 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. **Main Matter/Key phrase**: [MAIN SUBJECT OF YOUR CONTENT]
3. **Goal Viewers**: [Beginner/Intermediate/Expert | Industry]
4. **Content material Purpose**: [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 principal ideas, merchandise, providers, or subjects mentioned
- **Determine Attributes**: Discover descriptive parts (high quality, measurement, time, value)
- **Map Relationships**: Uncover how ideas join inside your content material
- **Detect Intent Indicators**: Acknowledge what actions or outcomes your content material promotes
### Stage 2: Generate Question Fan-Out from Content material
Based mostly in your content material's entities and themes, generate the seemingly question panorama:
#### 2.1 Theme Identification
Extract 3-5 core themes out of your content material:
- Every theme = distinct matter 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 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:
- **Totally 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 Crucial Gaps (Should Deal with)
- Centroid queries of principal themes not coated
- Primary "what's" questions unanswered
- Main 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 circumstances
- Edge circumstances and exceptions
- Trade-specific variations
- Future traits/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 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]
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 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 circulation**: Keep content material development whereas filling gaps
- **Consumer intent**: Every heading addresses particular recognized lacking queries
### Formatting Guidelines
- **Hold 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
- **Keep present sections** that already cowl queries nicely
- **Most 20-25 complete headings** for complete however manageable define
- **Embody content material circulation displaying how sections join logically**
- **Give attention to question protection completeness** making certain no main gaps stay
4. Cluster Key phrase Listing 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 additional 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 signify strategic alternatives. Observe: When export already contains search volumes from the device, no additional validation step is required.
[Task Description] Analyze the key phrase checklist and group semantically associated phrases into clusters. Map every cluster to present pages or determine wants for brand spanking 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 → present web page or "new web page wanted")
* Alternative Rating (based mostly on quantity, competitors, relevance)
* Strategic Suggestions (high 5 clusters to pursue)
* Cannibalization Warnings (overlapping clusters)
SERP Intelligence
5. SERP Motion Summarizer
Evaluate two search engine outcomes web page (SERP) snapshots to determine movers, new entrants, drop-offs, and have modifications, then extract aggressive implications and advisable 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] Evaluate 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 determine all place modifications. Spotlight important actions (3+ positions), new domains showing within the high 10, domains that dropped out, and any SERP characteristic modifications. 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 modifications)
* New Entrants (weren't within the high 10 earlier than)
* Drop-offs (left the highest 10)
* SERP Characteristic Modifications
* Strategic Implications
* Beneficial Actions
6. SERP Intent Analyzer
Break down high SERP outcomes to determine dominant and secondary search intents, required content material parts, and differentiators for rating.
Your activity is to behave as a SERP analyst, deciphering search engine outcomes pages (SERPs) to offer a strategic, actionable content material plan. The aim is to create content material that not solely ranks but in addition genuinely satisfies person wants and outperforms rivals. Your output have to be complete, structured, and straight actionable, leaving no room for ambiguity or hallucination.
Enter Information:
* Goal Key phrase: [INSERT YOUR KEYWORD]
* Present SERP Information (Prime 10 Outcomes): [PASTE THE TOP 10 RESULTS, INCLUDING TITLES, DESCRIPTIONS, AND URLs OR ATTACH AS A FILE]
* Non-compulsory: Contextual Info: [E.G., YOUR BRAND/WEBSITE, TARGET AUDIENCE, EXISTING CONTENT, OR UNIQUE SELLING PROPOSITION]
Job Directions:
1. Analyze the SERP: Look at the titles, meta descriptions, URLs, and the content material codecs (e.g., weblog posts, product pages, critiques, "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 outcome blocks (SCRBs) or SERP options which are current.
2. Determine Search Intent: Based mostly 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 info 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 "finest trainers").
3. Determine Secondary Intent Indicators: 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 additionally comprise outcomes that counsel a industrial investigation intent. These secondary indicators are key to making a complete and extremely satisfying web page.
4. Deconstruct Aggressive Content material: Analyze the frequent parts, codecs, and patterns among the many top-ranking pages to grasp what at present satisfies customers. Search for:
* Content material Sort & Format: What's the predominant content material kind (e.g., a information, a listicle, a product web page)? What format is used (e.g., long-form textual content, video, tables)?
* Web page Components: 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 Indicators: Search for proof of Expertise, Experience, Authoritativeness, and Trustworthiness (E-E-A-T). For YMYL (Your Cash or Your Life) subjects, that is particularly important. Observe how rivals set up their credentials (e.g., writer bios, citations, skilled critiques).
5. Synthesize Suggestions: Based mostly 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 short justification based mostly on the top-ranking outcomes and the character of the question.
2. Secondary Intent Indicators:
* Listing every other related intents which are current within the SERP.
* Present examples from the SERP knowledge that point out these secondary intents.
3. Required Web page Components (Should-Haves for Rating):
* Create a bulleted checklist of important on-page parts. These are the content material sections, options, and subjects which are important 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 frequent person questions (drawn from 'Individuals Additionally Ask' bins 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 submit (2000+ phrases)," "Complete shopping for information," "Product touchdown web page with detailed specs").
* Justify your advice by referencing the patterns and profitable codecs discovered within the aggressive SERP.
5. SERP Characteristic 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 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 may make the brand new web page stand out and supply a superior person expertise in comparison with the highest rivals. This part is about going past merely matching the SERP and offering true added worth.
* Examples might embrace: "Incorporate unique analysis or a proprietary examine," "Embody an interactive device or calculator," or "Characteristic a testimonial or quote from a acknowledged business skilled."
Content material Technique
7. Intent-Based mostly Title Generator
Create a number of Search engine optimization titles concentrating on completely different psychological triggers (authority, curiosity, urgency, and so on.), all below 60 characters.
Your Job:
Generate a number of title variations for a given matter that focus on completely different person intents and psychological triggers, whereas conserving Search engine optimization finest practices in thoughts.
Enter Necessities:
* Matter/key phrase: [insert topic/keyword]
* Audience: [insert audience]
Pointers:
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 data)
* Authority/credibility sign
* Urgency/timeliness
* Drawback-agitation
* Contrarian/myth-busting
* Social proof
* How-to/instructional
* 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 dwell SERP knowledge, cannibalization checks, and 24-month development 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 (elective): 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), based mostly on intent shift, freshness gaps, and cannibalization danger.
3) Present a succinct, actionable plan.
# RESEARCH RULES (no guessing)
- Browse the dwell internet. Prioritize main sources, official docs, and knowledge inside the final 12–24 months (until evergreen).
- For every reality/date/value/legislation/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: high rating pages, their focus/intent, and visual SERP options (e.g., PAA, video, buying, information, native pack).
- Test person curiosity development for the primary matter during the last 24 months (e.g., Google Tendencies or equal) and notice seasonality vs. structural decline.
- If page_url is given, run a fast website overlap verify (website:area question) to identify inner cannibalization candidates.
# ANALYSIS STEPS
1) Extract & Label Information
- From page_content, checklist each time-sensitive declare (numbers, years, steps, insurance policies, product options, screenshots, device 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.
- Evaluate to in the present day’s high SERP outcomes: intent (data/evaluate/transactional/native), construction (how-to, guidelines, device, glossary), depth, freshness, and distinctive property (calculator, template, video).
- Observe any significant SERP shifts because the content material’s seemingly publish/replace timeframe.
3) Consumer Curiosity & Language Shift
- Summarize 24-month question development (rising/flat/declining; seasonal?).
- Flag terminology modifications (e.g., product rebrands, API deprecations, new coverage names) that may make the content material really feel dated.
4) Cannibalization Threat (0–10)
- If page_url is supplied, checklist on-site pages with ≥60% topical overlap or near-duplicate titles.
- Rating danger utilizing: question/matter 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 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 in the present day’s SERP is distinct (e.g., device/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: 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 checklist with replacements + citations.
- **Intent & SERP Abstract:** in the present day’s dominant intent/format, key gaps vs. rivals, notable SERP options.
- **Cannibalization Threat (0–10):** rating with subscores & URLs (if page_url given).
- **Implementation Plan:** tight bullets tailor-made to the choice.
- **Threat & Mitigation:** high 3 dangers with concrete mitigations.
- **Sources:** checklist 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.
- Desire conserving the identical URL if intent hasn’t modified and fairness is robust; solely advocate NEW PAGE when intent/format clearly diverges.
- Hold complete output ~400–700 phrases until 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 checklist 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 Pointers and the E-E-A-T framework. Your activity 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 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 raised display credibility and experience, that are essential for rating, particularly for Your Cash or Your Life (YMYL) subjects. Your suggestions must be sensible and intention 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 Indicators: Consider if the content material demonstrates first-hand expertise with the subject. Search for private anecdotes, distinctive insights, or sensible examples that present the writer has lived expertise.
2. Assess Experience: Decide the extent of data and talent 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 writer credentials and {qualifications}, are key to demonstrating experience.
3. Consider Authoritativeness: Choose the popularity of each the writer and the web site as a go-to supply for the subject. Test for writer credentials, exterior citations from respected sources, and inner linking to different authoritative content material on the location.
4. Determine Trustworthiness Indicators: Discover all parts that construct person confidence. Search for clear citations, verifiable proof, transparency (e.g., disclosure insurance policies), security measures (e.g., HTTPS), {and professional} presentation. Belief is crucial 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 info in [INPUT DATA] is inadequate or ambiguous, clearly state what info is lacking and the way it impacts your skill to offer a complete evaluation.
* Keep away from producing generic or placeholder textual content. If a particular 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 common recommendation. For instance, as an alternative of claiming "enhance content material," counsel "add a devoted writer bio with skilled credentials and hyperlinks to verifiable work."
[CONSTRAINTS & CONSIDERATIONS]
* Reference the Google Search High quality Rater Pointers in your evaluation, particularly for the way it defines and evaluates E-E-A-T.
* If the content material falls below a YMYL matter (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 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 Energy
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 checklist of probably the most important 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 one 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 yr of Search engine optimization content material with seasonal tie-ins, business occasions, and key phrase themes mapped to enterprise targets.
[Input Data] Trade/area of interest: [INSERT YOUR INDUSTRY] Audience: [DESCRIBE YOUR AUDIENCE] Enterprise objectives: [LIST KEY OBJECTIVES] Identified seasonal traits: [LIST ANY KNOWN PATTERNS]
[Goal Description] Generate themes for [industry/niche] contemplating seasonal traits and business occasions.
[Task Description] Create a strategic 12-month content material calendar with month-to-month themes that align with seasonal search traits, business occasions, shopping for cycles, and enterprise targets. 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 Varieties
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 info. Determine which pages must be consolidated, which ought to stay separate, and how one can merge content material whereas preserving Search engine optimization worth. Contemplate 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 Search engine optimization Influence
12. Editorial QA Guidelines
Run AI-written or draft content material by 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, fashion consistency, and model voice alignment. Flag any unsubstantiated claims, lacking citations, or deviations from tips. 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)
* Type Consistency Points
* Model Voice Alignment
* Reality-Test 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 skilled content material strategist with deep experience in aggressive evaluation, market positioning, and content material differentiation. Your position is to conduct a radical strategic evaluation that goes past surface-level evaluation to uncover actionable aggressive intelligence.
Enter Parameters
Main Information 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 Aims: [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
Look at every competitor's content material by 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 matter 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:
* Main 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 concentrating 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 buildings
* 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 Persona Evaluation:
* Voice, tone, and communication fashion patterns
* Model values mirrored by content material decisions
* Cultural and social positioning methods
6. Innovation & Pattern 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 development 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 circumstances
* Lacking content material within the buyer journey
* Unexplored matter 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 rivals present content material weaknesses
* Outdated or inaccurate info 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
* Crucial motion gadgets for instant 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:
* Matter space enlargement 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 knowledge, insights, or experience to focus on
* Partnership or collaboration alternatives
6. Implementation Roadmap Section 1 (0-3 months): Fast Wins
* Excessive-impact, low-effort differentiation ways
* Content material optimization alternatives
* Instant 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
* Authentic analysis and knowledge creation
* Group constructing and ecosystem improvement
Strategic Success Metrics
Content material Efficiency KPIs:
* Engagement charge enhancements
* Search rating enhancements for goal key phrases
* Lead era 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 value enhancements
* Model consciousness and recall metrics
Evaluation Pointers
Depth Necessities:
* Analyze minimal 5-10 items of content material per competitor
* Look at content material throughout a number of codecs and channels
* Assessment 3-6 month content material publishing patterns
Objectivity Requirements:
* Present evidence-based assessments
* Acknowledge competitor strengths truthfully
* Give attention to strategic alternatives somewhat than criticism
Actionability Focus:
* Each perception ought to connect with particular motion gadgets
* Prioritize suggestions by affect 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]
Evaluate your content material to top-ranking rivals 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 counsel enhancements.
[Task Description] Analyze all first-page outcomes for the goal key phrase. Evaluate 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 Components (frequent parts in high outcomes)
* Content material Gaps (what rivals cowl that you do not)
* Depth Evaluation (phrase rely, element degree)
* Distinctive Components (options you lack)
* Enchancment Precedence Listing
* Implementation Roadmap
On-Web page, Schema & Inner Hyperlinks
15. Inner Hyperlink Anchor Textual content Optimizer
Generate semantically pure, reader-first inner hyperlinks with descriptive anchor textual content that aligns with Google’s tips.
Context & Function
You're an skilled Search engine optimization strategist specializing in semantic inner linking that aligns with Google's fashionable 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 tips somewhat than keyword-stuffing approaches.
Enter Information Necessities
Web site URL Stock:
* CSV knowledge 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 counsel semantically acceptable inner hyperlinks with pure anchor textual content that may genuinely profit readers. Give attention to sentence-level contextual relevance somewhat than key phrase concentrating on.
Evaluation Methodology
Step 1: Content material Context Evaluation
* Determine the primary subjects and subtopics mentioned within the article
* Map the semantic themes and pure dialogue circulation
* Find sentences that would profit from supporting info
* 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 develop on the present sentence/paragraph matter?
* Reader worth take a look at: Would an actual reader click on this hyperlink for related extra info?
* 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
Crucial Pointers
DO:
* Create anchor textual content that clearly describes the goal web page content material
* Hyperlink solely when it gives real worth to readers
* Use pure language that flows with the sentence
* Contemplate the particular sentence context, not simply total subjects
* 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 circulation
* 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 will discover on the goal web page
3. The semantic themes genuinely align between supply and goal
4. The anchor textual content reads naturally inside the sentence context
Output Format
Semantic Inner Hyperlink Suggestions
Article Evaluation:
* Present Article: https://footework.com/or-and-andor-what-does-that-mean-on-my-title/
* Foremost Matters Recognized: [List 3-5 primary topics discussed]
* Hyperlink Alternatives Discovered: [Number of viable linking opportunities]
Beneficial Inner 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]"
* Beneficial 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]"
* Beneficial 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 smart when learn out of context
* Goal web page content material genuinely pertains to supply sentence matter
* An actual reader would seemingly click on for extra related info
* Anchor textual content makes use of pure, descriptive language
* Hyperlink enhances somewhat than disrupts content material circulation
* Semantic themes align between supply and goal content material
________________
Generate inner hyperlink ideas that complement Google's semantic understanding whereas offering real person worth by contextually related connections.
16. Meta & Snippet Wins
Rewrite title tags and descriptions tailor-made to dwell SERPs to maximise click-through charge (CTR) whereas differentiating from rivals.
[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 dwell SERPs.
[Task Description] Create optimized meta titles and descriptions that stand out in SERPs whereas incorporating goal key phrases naturally. Contemplate SERP actual property, click-through charge optimization, and differentiation from rivals. Guarantee compliance with character limits and finest 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 elevate engagement and conversions.
[Input Data] Content material to reinforce: [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 (photographs, charts, movies), Enhance scannability and takeaways.
[Task Description] Assessment the content material for enhancement alternatives throughout three dimensions: inner linking alternatives with particular anchor textual content suggestions, visible content material gaps the place photographs/charts/movies would enhance understanding, and scannability enhancements for higher person expertise and engagement.
[Output Format] Enhancement plan with:
* Inner Hyperlink Alternatives (location | goal web page | anchor textual content)
* Visible Content material Suggestions (location | kind | goal)
* Scannability Enhancements (present subject | advised 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 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 tackle 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 accomplished through 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. Embody questions on native availability, area-specific pricing, native competitors differentiators, and community-specific points.
[Output Format] FAQ sections organized by:
* Basic 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 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/matter: [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:
* Web site 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 sources
* Search for damaged hyperlink alternatives
- For every related web page discovered, decide which of your supplied URLs can 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 workers"
2. "website:area.com writer 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 writer 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 writer 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've got 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 together with your URLs:
- Precise matter match (highest precedence)
- Complementary content material (their overview → your detailed information)
- Useful resource gaps (they point out matter briefly → you've gotten full useful resource)
- Replace alternatives (their previous statistics → your present knowledge)
- 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 gives 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 looking for to degree up out of your fundamentals article would discover this precious. Would you think about including it as a useful resource?" | John Smith | [email protected]
**[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:
- Go away contact columns empty
- Nonetheless present the web page matching and outreach template
- Observe if solely contact type is on the market
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 total natural visibility. Embody quantitative metrics the place accessible 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 look at)
* Strategic Suggestions (5 key actions)
* Precedence Implementation Plan
22. Competitor Protection Hole
Determine subjects, angles, and codecs rivals 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 rivals cowl that you do not.
[Task Description] Determine content material subjects, angles, and codecs that rivals 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 based mostly on search quantity and enterprise relevance.
[Output Format] Hole evaluation together with:
* Lacking Matters (competitor has, you do not)
* Angle Variations (similar matter, completely different strategy)
* Format Gaps (content material varieties you are lacking)
* Depth Evaluation (the place rivals 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 advocate A/B assessments to elevate conversions.
[Input Data] Screenshot: [PASTE SCREENSHOT DESCRIPTION] Conversion aim: [DESCRIBE DESIRED ACTION] Present conversion charge: [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 velocity 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 Assessment
* Belief Sign Stock
* Friction Level Identification
* A/B Take a look at 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 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 knowledge: [PROVIDE IF AVAILABLE]
[Goal Description] Assessment CTAs and kinds 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 subject necessity, CTA button copy, micro-copy effectiveness, and total person circulation. Determine particular friction factors inflicting drop-offs.
[Output Format] Optimization plan:
* CTA Copy Variations (3 per CTA)
* Kind Area Audit (hold/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 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 Search engine optimization knowledge into client-friendly enterprise insights displaying affect on enterprise outcomes.
[Task Description] Convert Search engine optimization metrics into compelling enterprise narrative. Translate enhancements into income affect, market good points, or acquisition advantages with clear cause-and-effect relationships.
[Output Format] * Government Abstract (3 sentences) * Key Enterprise Wins * Income/Visitors Influence * Market Place * ROI Demonstration * Subsequent Steps * Visible Solutions
26. Competitor Characteristic Mapping
Extract product options and instruments from competitor website buildings 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 checklist 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 seemingly worth proposition and person want.
[Output Format] Characteristic stock:
* Characteristic Title | URL Sample | Worth Proposition | Consumer Want | Implementation Complexity | Precedence Rating
Observe: Validate findings manually.
27. Government Abstract Generator
Condense month-to-month Search engine optimization metrics into an executive-ready abstract with ROI highlights, high 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] Price range: [AMOUNT IF RELEVANT]
[Goal Description] Create government abstract highlighting ROI and strategic wins from month-to-month Search engine optimization efficiency.
[Task Description] Synthesize Search engine optimization knowledge into concise government abstract specializing in enterprise affect. Emphasize C-suite metrics: income affect, market share, aggressive wins, and effectivity good points.
[Output Format] * Efficiency Headline (one impactful assertion) * ROI Spotlight * Prime 3 Strategic Wins * Key Metrics Dashboard (5 most necessary) * Aggressive Place Replace * Subsequent Month Focus * Funding Suggestion
28. Technique-To-Presentation Converter
Rework 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] Rework Search engine optimization technique into C-suite presentation specializing in enterprise worth and aggressive benefit.
[Task Description] Convert Search engine optimization technique into government presentation emphasizing enterprise affect and strategic alignment. Take away technical jargon, give attention to outcomes over ways, create clear narrative from drawback to answer to outcomes.
[Output Format] Slide-by-slide define:
* Slide Title | Key Message | Supporting Information | Visible Suggestion | Speaker Notes
Refining & Validating Prompts
To make prompts match for goal, it’s not so simple as plugging in templates, copying and pasting the output, then calling it a day. It’s necessary to maintain refining each immediate as a part of your course of. As our in-house skilled in massive language mannequin (LLM) habits, Brent Csutoras, factors out:
“Guarantee that your prompts are the precise prompts and that you simply perceive the idea behind it.”
LLMs don’t perceive info the way in which we people do, as Brent places it:
“The issue you’ve gotten is that you’re asking a prediction engine to provide the reply it thinks you need based mostly on some guidelines that you simply’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 will help you do exactly 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 clarify the way it interpreted your directions and spotlight conflicts or lacking steps.
- Mission-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 dwelling paperwork. Revisit them month-to-month, observe edits, and even have the AI counsel revisions based mostly on previous outputs.
We can be updating this checklist regularly with extra immediate concepts and examples to make your Search engine optimization extra environment friendly.
Disclaimer: These Search engine optimization-focused prompts aren’t designed to be “one-size-fits-all” as a result of outcomes generated could comprise inaccuracies or incomplete knowledge. At all times fact-check your outputs towards main sources, overview for compliance and accuracy.
Extra sources:
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