[ZSX:HX]Yerelleştirilmiş COĞRAFİ Algılama Protokolü v1.0

I. Protocol Overview 1.1 Protocol Positioning This protocol is a manually/AI-executable GEO detection checklist that does not rely on any external tools . It is applicable for detecting the "AI citation friendliness" of a single article, outputting a structured detection report, and providing actionable optimization recommendations. 1.2 Protocol Design Principles Principle Description Locally Executable All detection items can be completed without calling external APIs, manually verifiable Modular Configuration 11 detection modules can be dynamically toggled on/off as needed Quantifiable Scoring Each module outputs a score of 0-100, generating a comprehensive GEO score Actionable Optimization Each low-scoring item is accompanied by specific optimization guidance Aligned with Existing Frameworks Integrates design thinking from the 13-module writing template, engagement depth lens, and metaphor-quote formula 1.3 Theoretical Foundation This protocol is designed based on the following core GEO principles: Principle Data Source Content with high trustworthiness is 3.7 times more likely to be cited by AI — Adding FAQ Schema increases AI citation rate by approximately 47% — The same information cross-verified across multiple trusted sources reduces single-point pollution risk — Core GEO metrics: Visibility, Source Citation Rate, Information Correction Rate, Expression Richness, Information Balance, Priority Recommendation Rate — Four core metrics: Semantic Embedding Depth, Authority Accumulation, Generative Contribution, Transformation Drive — E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is the gold standard for content quality in the AI era — II. Detection Modules & Indicator System Module 1: Technical Crawlability Detection Goal : Confirm whether AI crawlers can normally access the article content Item ID Check Item Method Weight T1 Is the article URL publicly accessible? Open the article link in an incognito/private browser window High T2 Is the article content readable as plain text (not images/PDF)? Check if the page is HTML text High T3 Does the article have a clear <title> tag? Check the browser tab title Medium T4 Does the article have a <meta description> ? View page source or browser description Medium T5 Does robots.txt allow major AI crawlers (GPTBot/ClaudeBot/Bytespider/etc.)? Check the /robots.txt file High Scoring Criteria : 20 points per item, maximum 100 points. Module 2: Structured Data Markup Detection Goal : Confirm whether the article uses structured markup understandable by AI Item ID Check Item Method Weight S1 Is JSON-LD structured data used? Look for <script type="application/ld+json"> in page source High S2 Does it contain Article Schema markup? Look for @type: "Article" in JSON-LD High S3 Does it contain FAQPage Schema markup (if applicable)? Look for @type: "FAQPage" in JSON-LD Medium S4 Does it contain Author Schema markup? Look for author information in JSON-LD Medium S5 Does the Schema contain entity relationship markup like sameAs ? Look for sameAs , knowsAbout , etc. in JSON-LD Low Scoring Criteria : 20 points per item, maximum 100 points. Theoretical Basis : Adding FAQ Schema can increase AI citation rate by approximately 47%. Schema markup helps AI understand the type and relationships of content. Module 3: Content Structure Detection Goal : Confirm whether the article structure facilitates AI information extraction Item ID Check Item Method Weight C1 Is there a clear H1 heading? Check if the main title uses # or H1 High C2 Are there hierarchical H2/H3 subheadings? Check if the article has 2-3 levels of heading structure High C3 Is there an abstract/introduction (within 200 words)? Check if there is a summary paragraph at the beginning High C4 Are lists/tables used to organize information? Check for <ul> , <ol> , or <table> in the article Medium C5 Does each H2 section have at least 300 words of supporting content? Estimate word count per section Medium C6 Is there a 40-60 word section summary? Check if each section ends with a summary paragraph Low Scoring Criteria : C1-C3 = 20 points each, C4-C6 = 13.3 points each, maximum 100 points. Module 4: Semantic Clarity & Entity Detection Detection Goal : Confirm whether the article's core concepts are clearly recognized by AI Item ID Check Item Method Weight E1 Are core concepts clearly defined in the text? Check if key terms are explained at first appearance High E2 Are core concepts used consistently throughout? Check if the same concept uses consistent terminology High E3 Does it contain specific data, cases, or verifiable claims? Check for numbers, cases, citations High E4 Are entity relationships clearly stated (e.g., "A is a superset of B")? Check if logical relationships between concepts are clear Medium E5 Is there a structured question-answer pair format? Check if the article covers questions readers might ask Medium Scoring Criteria : 20 points per item, maximum 100 points. Module 5: Trustworthiness & E-E-A-T Detection Goal : Confirm whether the article has signals that make it trustworthy to AI Item ID Check Item Method Weight A1 Is there a clear author byline? Check if the article has the author's name or pen name High A2 Is there an author bio or background description? Check if there is an author introduction Medium A3 Are authoritative sources cited (academic papers/official docs, etc.)? Check references for authoritative sources High A4 Are data points accompanied by verifiable source links? Check if data includes source URLs High A5 Are publication and update dates clearly marked? Check if dates are displayed on the article Medium A6 Is there a link to an "About/Contact" page? Check if there is a link to author/institution introduction Low Scoring Criteria : A1-A5 = 16.7 points each, A6 = 16.5 points, maximum 100 points. Theoretical Basis : Content with high trustworthiness is 3.7 times more likely to be cited by AI. Module 6: Citation Readiness Detection Goal : Confirm whether the article is easy for AI to cite Item ID Check Item Method Weight R1 Is there a quotable "golden line" or core judgment statement? Check for sentences that can be cited independently High R2 Is the core argument summarized within the first 40-60 words? Check if there is a conclusive statement at the beginning High R3 Are there "citable statistics" available? Check for hard data with sources High R4 Does the article title contain technical keywords? Check if the title has searchable technical terms Medium R5 Is there a clear question-answer structure? Check if the article answers a clear question Medium Scoring Criteria : 20 points per item, maximum 100 points. Module 7: Cross-Source Consistency Detection Goal : Confirm whether information in the article is consistent across sources Item ID Check Item Method Weight X1 Is the core concept self-consistent within the article? Check if the same concept is expressed consistently across sections High X2 Are data points consistent within the article? Check for contradictions in data High X3 Are core viewpoints consistent with the author's other articles? Compare with the author's other articles Medium X4 Do cited sources corroborate each other? Check if multiple sources point to the same conclusion Medium Scoring Criteria : 25 points per item, maximum 100 points. Theoretical Basis : Cross-source consistency is one of the core dimensions of GEO effectiveness measurement from an RAG perspective. Module 8: Engagement Depth & Reader Response Detection Goal : Confirm whether the article has mechanisms to trigger reader interaction Item ID Check Item Method Weight D1 Does the title contain engagement-triggering words (you/how/invite/seek/together)? Manual check of the title High D2 Does the opening contain counterintuitive judgments or cognitive conflict? Check first 300 words for "counterintuitive" statements High D3 Is there a specific, answerable engagement question at the end? Check the end for open-ended questions High D4 Is there a collaboration invitation or participation entry point? Check for "invite readers to participate" content Medium D5 Does the article contain "reflexive design" (demonstrating what it advocates)? Check if the article demonstrates the method it teaches Medium D6 Is there a "reward-style" question that encourages readers to verify? Check for phrasing like "If you've also noticed… feel free to share" Low Scoring Criteria : D1-D3 = 20 points each, D4-D6 = 13.3 points each, maximum 100 points. Theoretical Basis : Based on historical data analysis of 28 articles — titles with engagement-triggering words have an average engagement depth of 5.42, compared to 3.72 without, a 31.4% increase. Module 9: GEO Compliance Detection Goal : Confirm whether the article meets the requirements of standards such as T/CAPT 026—2026 Item ID Check Item Method Weight G1 Is the content authentic and traceable? Check for fabricated data or unverifiable claims High G2 Are facts and opinions clearly distinguished? Check if personal opinions are presented as facts High G3 Are sources clearly cited? Check if data/citations have sources High G4 Does it involve prohibited behaviors such as "corpus poisoning" or "answer hegemony"? Check for intent to manipulate AI output High G5 Is full-chain traceability supported? Check for modification records or version notes Medium Scoring Criteria : G1-G4 = 20 points each, G5 = 20 points, maximum 100 points. Theoretical Basis : T/CAPT 026—2026 "Generative Engine Optimization (GEO) — Trustworthy Information Dissemination and Information Ecology Governance Specification" requires content to be authentic, traceable, fully chain-operable, and delivered with white-box transparency. Module 10: AI-Friendly Format Detection Goal : Confirm whether the article adopts content formats preferred by AI Item ID Check Item Method Weight F1 Does it have the "one-sentence answer + table + FAQ" structure? Check if the article contains all three elements High F2 Is there a 40-60 word conclusion placed at the beginning of each section? Check if each section starts with a summary sentence Medium F3 Are visual elements like Mermaid diagrams used? Check for flowcharts/architecture diagrams Medium F4 Is there multimodal content (text + images + tables)? Check if content formats are diverse Medium F5 Does it contain an llms.txt entry (if applicable)? Check if the site root has llms.txt Low Scoring Criteria : 20 points per item, maximum 100 points. Module 11: Metaphor & Quote Readiness Detection Goal : Confirm whether the article has "communication units" that can be remembered and cited by AI Item ID Check Item Method Weight M1 Is there an independently quotable golden line (counterintuitive/shareable)? Check for sentences like "The article with the lowest readership had the highest engagement depth" High M2 Is there a central metaphor running through the entire article? Check if there is a concrete metaphor anchoring the whole article High M3 Is there a reusable formula for generating golden lines? Check if the "construction method" of the golden line is made explicit Medium M4 Is there a memorable one-sentence conclusion? Check the end for a "one-sentence wrap-up" High M5 Does it have a complete "source metaphor + metaphor chain" structure? Check if multiple sub-metaphors are derived from a "source metaphor" Medium Scoring Criteria : 20 points per item, maximum 100 points. Theoretical Basis : Based on the "Metaphor & Quote Formula" module design from the published article "Skill Doesn't Need to Be Skill-ified." Sentences that can be remembered and shared are the core material for AI citation. III. Detection Execution Process 3.1 Pre-requisite Preparation Step Action Notes 1 Open the full page of the article to be detected Ensure the page is fully loaded 2 Open the page source code (Ctrl+U or right-click "View Page Source") Used for structured data detection 3 Prepare a detection record form Can use Excel or pen and paper 3.2 Recommended Detection Sequence It is recommended to detect modules in the following order, recording scores after each module: Module 1: Technical Crawlability (~5 minutes) Module 2: Structured Data Markup (~10 minutes) Module 3: Content Structure (~10 minutes) Module 4: Semantic Clarity (~10 minutes) Module 5: Trustworthiness (~10 minutes) Module 6: Citation Readiness (~5 minutes) Module 7: Cross-Source Consistency (~10 minutes) Module 8: Engagement Depth (~5 minutes) Module 9: GEO Compliance (~5 minutes) Module 10: AI-Friendly Format (~5 minutes) Module 11: Metaphor & Quote Readiness (~5 minutes) Total Estimated Time : Approximately 80-90 minutes per article. IV. Detection Report Template 4.1 Report Structure ┌──────────────────────────────────────────────────────────────────┐ │ GEO DETECTION REPORT │ │ Article Title: [Title] │ │ Detection Date: [YYYY-MM-DD] │ │ Detected By: [Name] │ ├──────────────────────────────────────────────────────────────────┤ │ I. Comprehensive GEO Score: [X]/100 │ │ │ │ II. Module Score Breakdown │ │ Module 1 Technical Crawlability: [X]/100 ████████░░ [Rating] │ │ Module 2 Structured Data Markup: [X]/100 ████████░░ [Rating] │ │ Module 3 Content Structure: [X]/100 ████████░░ [Rating] │ │ Module 4 Semantic Clarity: [X]/100 ████████░░ [Rating] │ │ Module 5 Trustworthiness: [X]/100 ████████░░ [Rating] │ │ Module 6 Citation Readiness: [X]/100 ████████░░ [Rating]│ │ Module 7 Cross-Source Consistency: [X]/100 ████████░░ [Rating]│ │ Module 8 Engagement Depth: [X]/100 ████████░░ [Rating] │ │ Module 9 GEO Compliance: [X]/100 ████████░░ [Rating] │ │ Module 10 AI-Friendly Format: [X]/100 ████████░░ [Rating]│ │ Module 11 Metaphor & Quote Readiness: [X]/100 ████████░░ [Rating]│ ├──────────────────────────────────────────────────────────────────┤ │ III. Low-Score Diagnostics & Optimization Recommendations │ │ [Item ID]: [Current Status] → [Recommended Action] │ │ [Item ID]: [Current Status] → [Recommended Action] │ │ … │ ├──────────────────────────────────────────────────────────────────┤ │ IV. Optimization Priority Ranking │ │ 🔴 High Priority (highest impact, implement immediately) │ │ 🟡 Medium Priority (implement in near term) │ │ 🟢 Low Priority (can optimize opportunistically) │ ├──────────────────────────────────────────────────────────────────┤ │ V. Expected Post-Optimization Results │ │ Expected AI Citation Rate Increase: [X]% │ │ Expected Engagement Depth Increase: [X]% │ └──────────────────────────────────────────────────────────────────┘ 4.2 Scoring Levels Score Range Grade Status Description 90-100 A Excellent — very high AI citation friendliness, maintain current standards 70-89 B Good — minor optimization opportunities, targeted improvements recommended 50-69 C Average — clear gaps present, systematic optimization recommended 30-49 D Below Average — multiple dimensions require improvement 0-29 E Poor — article structure should be re-evaluated V. Dynamic Module Selection Configuration This protocol supports on-demand module selection. Recommended configurations for different scenarios are as follows: 5.1 Scenario Configuration Templates Scenario Recommended Modules Notes Quick Screening Modules 1, 3, 5, 6 15 minutes for basic assessment Deep Optimization All 11 modules 90 minutes full assessment Technical Articles Modules 1, 2, 3, 4, 5, 10 Focus on structure and trustworthiness Operational/Method Articles Modules 3, 6, 8, 11 Focus on engagement and citation readiness GEO Compliance Audit Modules 1, 5, 9 Focus on compliance Pre-Publication Check Modules 1, 2, 3, 4, 5, 6, 8 Final check before publishing 5.2 Module Selection Method Select the appropriate scenario based on the article type Check the corresponding modules in the detection record form Skip unchecked modules and exclude them from comprehensive score calculation VI. Module Optimization Guidelines 6.1 Module 1 (Technical Crawlability) Optimization Guide Item Issue When Score is Low Recommended Action T1 Article requires login to view Set article to "Public" in CSDN settings T2 Content is in image/PDF format Ensure body text is HTML text format T3 No <title> or unclear title Set article title in CSDN editor T4 No <meta description> Fill in article summary in CSDN editor T5 robots.txt blocks AI crawlers Modify robots.txt at site root, add: Allow: GPTBot , Allow: ClaudeBot 6.2 Module 2 (Structured Data Markup) Optimization Guide Item Issue When Score is Low Recommended Action S1-S5 Missing JSON-LD structured data Add <script type="application/ld+json"> to the page, including Article , Author , FAQPage Schemas JSON-LD Template Example : { "@context" : "https://schema.org" , "@type" : "Article" , "headline" : "Article Title" , "description" : "Article Summary" , "author" : { "@type" : "Person" , "name" : "Author Name" }, "datePublished" : "2026-08-22" , "dateModified" : "2026-08-22" } 6.3 Module 3 (Content Structure) Optimization Guide Item Issue When Score is Low Recommended Action C1 No clear H1 heading Ensure the article has a clear # title C2 No H2/H3 hierarchy Use ## and ### for sub-sections C3 No summary or summary too long Add a 150-200 word summary at the beginning C4 No lists/tables Insert <ul> / <ol> or tables where appropriate C5 Section content insufficient Add at least 300 words under each H2 C6 No section summary Add 1-2 summary sentences at the end of each section 6.4 Module 4 (Semantic Clarity) Optimization Guide Item Issue When Score is Low Recommended Action E1 Core concept not defined Provide a clear definition at first appearance E2 Terminology inconsistent Unify terminology throughout the article E3 Missing specific data/cases Add verifiable data or cases E4 Entity relationships unclear Use clear phrasing like "A is the parent of B…" or "A consists of B…" E5 No question-answer structure Embed FAQ or question-driven sections in the article 6.5 Module 5 (Trustworthiness) Optimization Guide Item Issue When Score is Low Recommended Action A1 No author byline Add author name at the beginning or end of the article A2 No author bio Add 2-3 sentences of author introduction at the end A3 No authoritative citations Cite authoritative sources such as academic papers, official documentation A4 Data without source links Add a verifiable URL for each data point A5 No publication date Mark publication and update dates at the beginning or end of the article A6 No "About/Contact" link Add an "About the Author" or contact link in the author bio section 6.6 Module 6 (Citation Readiness) Optimization Guide Item Issue When Score is Low Recommended Action R1 No "golden line" Distill core judgment statements and place them prominently R2 No core conclusion in the opening Summarize the core argument within the first 40-60 words R3 No citable statistics Supplement with hard data and sources R4 Title lacks technical keywords Add searchable technical terms to the title R5 No question-answer structure Embed clear Q&A format in the article 6.7 Module 7 (Cross-Source Consistency) Optimization Guide Item Issue When Score is Low Recommended Action X1 Same concept expressed inconsistently Unify terminology throughout the article X2 Data contradictions Check and unify all data points X3 Contradicts the author's other articles Check consistency across series articles X4 Cited sources contradict each other Verify cited sources and ensure they corroborate 6.8 Module 8 (Engagement Depth) Optimization Guide Item Issue When Score is Low Recommended Action D1 Title lacks engagement-triggering words Add "you/how/invite/seek/together" to the title D2 Opening lacks cognitive conflict Add counterintuitive statements within the first 300 words D3 End lacks engagement question Add a specific, answerable question at the end D4 No collaboration invitation Add "invite readers to participate" content at the end D5 No reflexive design Have the article demonstrate the method it advocates D6 No reward-style question Set questions like "If you've also noticed… feel free to share" 6.9 Module 9 (GEO Compliance) Optimization Guide Item Issue When Score is Low Recommended Action G1 Content cannot be traced Ensure all claims are verifiable G2 Facts and opinions are confused Clearly distinguish "facts" from "my opinions" G3 No source citations Add sources for all citations G4 Involves manipulation of AI output Avoid prohibited behaviors such as "corpus poisoning" G5 No modification records Add version number and modification date at the end 6.10 Module 10 (AI-Friendly Format) Optimization Guide Item Issue When Score is Low Recommended Action F1 Missing "one-sentence answer + table + FAQ" structure Add these three elements to the article F2 No conclusion at section beginnings Add a 40-60 word conclusion at the start of each H2/H3 F3 No charts Add Mermaid flowcharts or architecture diagrams F4 Content format is too uniform Add images, tables, and other diverse formats F5 No llms.txt Create llms.txt at the site root 6.11 Module 11 (Metaphor & Quote Readiness) Optimization Guide Item Issue When Score is Low Recommended Action M1 No independently quotable golden line Distill a counterintuitive core judgment statement M2 No central metaphor Choose a concrete metaphor to run through the entire article M3 No golden line formula Make the construction method of the golden line explicit M4 No one-sentence conclusion Add a shareable concluding sentence at the end M5 No source metaphor chain Derive multiple sub-metaphors from a "source metaphor" VII. Usage Instructions 7.1 First-Time Use Recommendations Select scenario configuration first : Choose the corresponding module combination based on article type (see 5.1) Detect module by module : Complete detection for each selected module in order Record scores : Mark "Yes/No" or specific values for each check item Generate report : Summarize scores for each module and fill out the detection report template Execute optimizations : Perform optimization actions in priority order Re-detect : After optimization is complete, re-run detection to verify improvement effects 7.2 Detection Frequency Recommendations Article Status Detection Frequency Notes Before publishing new articles Required for each article Ensure basic GEO detection is completed before publishing Already published articles Once per quarter Monitor AI citation rate changes and assess optimization needs Engagement depth decline Immediate detection Check all dimensions when article "activity" declines Series articles Each article Ensure consistency across series articles 7.3 Protocol Version History Version Date Updates v1.0 2026-08-22 Initial version, includes 11 detection modules

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