[{"slug":"ai-overview-rewriter","title":"AI Overview Rewriter — Optimizing Content for Google AI Overviews","tags":["seo","ai-seo","ai-overviews","geo","content-optimization"],"agent_summary":"Rewrites and restructures content specifically for Google AI Overview citation: direct answer placement, declarative format, citation density, entity declaration, and schema signals that maximize AI Overview inclusion probability.","trigger_phrases":["AI overview optimization","Google AI overview","AIO optimization","optimize for AI overviews","AI Mode content","appear in AI overviews","AI overview rewrite","generative search optimization"],"runnable":true},{"slug":"article-outranker","title":"Article Outranker — Writing Articles That Beat Existing Rankings","tags":["seo","content","articles","competitive-content","outranking"],"agent_summary":"Produces SEO articles engineered to outrank specific competitors: SERP analysis, word count calibration, entity gap identification, answer-format optimization, and E-E-A-T signal layering.","trigger_phrases":["outrank article","beat the competition","outranking article","article to outrank","write to outrank","article outranker","competitor content","outrank #1"],"runnable":true},{"slug":"article-rewriter","title":"Article Rewriter — Existing Content Improvement Pipeline","tags":["seo","content-rewriting","content-optimization","on-page","editorial"],"agent_summary":"Pipeline for improving existing articles to outrank their current competition: competitive gap analysis per article, entity enrichment, E-E-A-T signal injection, structural improvements, featured snippet engineering, and quality gate before republication.","trigger_phrases":["article rewriter","rewrite article SEO","improve existing content","content improvement pipeline","SEO rewrite","rewrite for SEO","optimize existing articles","content refresh rewrite"],"runnable":true},{"slug":"b2b-ai-search-growth","title":"B2B AI Search Growth System — Sales, Positioning, and Funnel Assets","tags":["seo","ai-seo","b2b","sales","aeo","positioning"],"agent_summary":"Turns AI-search/GEO strategy into client-facing B2B assets: diagnostic audit process, AI citation gap revelation, buyer psychology mapping, proposal structure, pricing anchoring, and 90-day launch sequencing.","trigger_phrases":["B2B AI search","AI search sales","GEO services business","sell AI SEO","AI visibility agency","AI citation gap reveal","B2B AI positioning","AI search growth system"],"runnable":true},{"slug":"competitor-research-and-faq-extraction","title":"Competitor Research and FAQ Extraction","tags":["competitor-research","faq-extraction","seo","content-analysis"],"agent_summary":"Protocol for analyzing top competitors to extract FAQs and identify content gaps.","trigger_phrases":["How to research competitors for SEO gains?","Identify FAQs missing from my site.","Analyze competitors’ FAQ strategies.","Steps to improve my content with competitor insights.","How to do a content gap analysis?","What are my competitors doing with their FAQ sections?","Retrieve FAQ content from top pages.","What competitor analysis techniques enhance SEO?"],"runnable":false},{"slug":"content-freshness-decay-monitor","title":"Content Freshness Decay Monitor — Ranking Decay Detection and Prevention","tags":["seo","content-freshness","ranking-decay","content-audit","monitoring"],"agent_summary":"Identifies content experiencing ranking decay due to freshness signals: detects position drops correlated with content age, content that needs date-stamped updates, evergreen content losing to newer pages, and provides a refresh protocol to recover decaying rankings.","trigger_phrases":["content decay","ranking decay","content freshness","content refresh","update old content","content aging SEO","declining rankings freshness","evergreen content decay"],"runnable":true},{"slug":"content-gap-analysis","title":"Content Gap Analysis — Finding Missing Content Opportunities","tags":["seo","content","competitive-analysis","gaps","keyword-research"],"agent_summary":"Identifies content gaps between a site and its top competitors: topic gaps, keyword gaps, format gaps, and PAA gaps. Produces a prioritized list of content opportunities mapped to search intent.","trigger_phrases":["content gap analysis","content gaps","what content am I missing","competitor content gaps","keyword gaps","topic gaps","missing content","content opportunities"],"runnable":true},{"slug":"content-mastery","title":"Content Mastery — Agency-Grade Content Production Standards","tags":["seo","content","production","quality","standards"],"agent_summary":"Comprehensive content production standards: content types, quality gates, voice guidelines, length calibration, NLP ratio, format specifications, and the editorial process from brief to published.","trigger_phrases":["content mastery","content production standards","content quality guide","agency content standards","content guidelines","editorial standards","content quality control","content QA"],"runnable":true},{"slug":"crawl-budget-optimizer","title":"Crawl Budget Optimizer — Patent-Grounded Crawl Efficiency Audit","tags":["seo","technical-seo","crawl-budget","indexing","googlebot"],"agent_summary":"Audits and optimizes crawl budget using Google's indexing and crawling patents: robots.txt waste, sitemap accuracy, redirect chains, orphan pages, thin content, web decay signals, and crawl scheduling.","trigger_phrases":["crawl budget","crawl optimization","Googlebot crawl","crawl rate","crawl efficiency","indexing budget","crawl waste","robots.txt audit"],"runnable":true},{"slug":"daryl-local-seo","title":"Daryl Osborne Local SEO — Schema Cascade and Local Surge","tags":["seo","local-seo","schema","daryl-osborne","local-surge"],"agent_summary":"Applies Daryl Osborne's proprietary local SEO methodology: Schema Cascade Effect, DataFeed schema, Local Surge process, Audio/Image/CategoryPage schema types, and multi-entity local optimization.","trigger_phrases":["Daryl Osborne SEO","schema cascade effect","local surge","DataFeed schema","Daryl local SEO","local surge process","CategoryPage schema","Daryl schema templates"],"runnable":true},{"slug":"dataforseo-keywords","title":"DataForSEO Keywords API — Volume, CPC, and Competition Data","tags":["seo","keywords","dataforseo","api","keyword-research"],"agent_summary":"Uses DataForSEO's Keywords Data endpoints to pull real search volume, CPC, competition scores, historical trends, and keyword suggestions. Batch to 1000 per request at $0.075/task.","trigger_phrases":["DataForSEO keywords","search volume API","keyword volume data","keyword data API","CPC data","keyword competition score","batch keyword research","DataForSEO keyword data"],"runnable":true},{"slug":"dataforseo-llm-mentions","title":"DataForSEO LLM Mentions — AI Citation Tracking and Brand Monitoring","tags":["seo","ai-seo","dataforseo","api","brand-monitoring","llm-visibility"],"agent_summary":"Tracks brand and competitor mentions in AI platform responses using DataForSEO's AI Mentions API. Establishes AI visibility baselines, monitors citation share changes, and identifies content gaps causing citation failures.","trigger_phrases":["LLM mentions","AI mention tracking","brand in AI results","AI citation monitoring","DataForSEO AI mentions","track AI visibility","brand in ChatGPT","AI brand mentions"],"runnable":true},{"slug":"dataforseo-onpage","title":"DataForSEO On-Page API — Technical SEO Audit at Scale","tags":["seo","technical-seo","dataforseo","api","on-page-audit"],"agent_summary":"Uses DataForSEO's OnPage API to crawl pages and extract technical SEO data: meta tags, heading structure, word count, load time, schema presence, internal/external links, and 50+ on-page factors.","trigger_phrases":["DataForSEO on-page","OnPage API","technical audit API","on-page audit API","page crawl API","metadata extraction API","on-page data","DataForSEO crawl"],"runnable":true},{"slug":"dataforseo-serp","title":"DataForSEO SERP API — Real-Time Search Result Data","tags":["seo","serp","dataforseo","api","competitive-analysis"],"agent_summary":"Uses DataForSEO's SERP endpoints to pull real-time organic results, featured snippets, PAA, local packs, knowledge panels, and shopping results for any keyword and location.","trigger_phrases":["DataForSEO SERP","SERP API","search results API","SERP data","organic rankings API","PAA API","local pack data API","featured snippet data API"],"runnable":true},{"slug":"duplicate-content-risk-scanner","title":"Duplicate Content Risk Scanner — Detection and Remediation","tags":["seo","duplicate-content","technical","canonicalization","thin-content"],"agent_summary":"Identifies and remediates duplicate content risks: same-page variant URLs, near-duplicate pages, boilerplate content across location pages, scraped or syndicated content issues, and internal cannibalization. Produces canonicalization strategy and remediation priority list.","trigger_phrases":["duplicate content","content duplication","canonical issues","near-duplicate pages","duplicate page scanner","content cannibalization","duplicate content SEO","canonicalization audit"],"runnable":true},{"slug":"eeat-analyzer","title":"E-E-A-T Analyzer — Dimensional Scoring and Gap Analysis","tags":["seo","eeat","content-quality","quality-raters","trust"],"agent_summary":"Scores content 1-10 per E-E-A-T dimension (Experience, Expertise, Authoritativeness, Trustworthiness) against Quality Rater Guidelines with specific evidence citations and prioritized fix list.","trigger_phrases":["E-E-A-T score","EEAT analysis","EEAT analyzer","quality rater score","EEAT dimensions","experience expertise authority trust","content trust score","EEAT scoring"],"runnable":true},{"slug":"eeat-factor-extractor","title":"E-E-A-T Factor Extractor — Signal Mining from URLs and Content","tags":["seo","eeat","content-quality","signal-extraction","audit"],"agent_summary":"Extracts E-E-A-T signals from any URL or content block: identifies experience markers, expertise indicators, authoritativeness anchors, and trust elements present or absent. Produces a signal inventory and gap map for targeted E-E-A-T improvement.","trigger_phrases":["EEAT factor extractor","extract EEAT signals","EEAT signal mining","find EEAT signals","EEAT inventory","EEAT signal audit","experience markers extractor","EEAT gap map"],"runnable":true},{"slug":"entity-clouds-seo","title":"Entity Clouds SEO — Zone Theory and BUTTER ZONE Entity Declaration","tags":["seo","entity-seo","zone-theory","entity-clouds","nlp"],"agent_summary":"Applies Zone Theory: BM25F 9-zone content optimization with BUTTER ZONE entity declaration at the zone boundary. Maps entity cloud architecture for topical authority building.","trigger_phrases":["entity clouds","zone theory","BUTTER ZONE","BM25F zones","entity placement zones","NLP zones","content zones SEO","entity zone optimization"],"runnable":true},{"slug":"entity-prospect-pitch","title":"Entity Prospect Pitch — SEO Diagnosis to Proposal","tags":["seo","sales","entity-seo","prospect","pitch","diagnosis"],"agent_summary":"Converts SEO entity gap analysis into a prospect pitch: identifies the three critical entity gaps most visible to prospects, frames them as revenue problems (not technical problems), builds a diagnosis reveal session structure, and maps to a proposal with a clear investment anchor.","trigger_phrases":["SEO pitch","prospect pitch","entity SEO pitch","SEO diagnosis reveal","SEO proposal","convert audit to proposal","SEO sales pitch","entity gap presentation"],"runnable":true},{"slug":"faq-content-writing-guide","title":"FAQ Content Writing Guide","tags":["faq-content","seo","conversion-optimization","content-writing"],"agent_summary":"Technique for crafting FAQ content aligned with the buyer journey for conversion optimization.","trigger_phrases":["How to write effective FAQs for SEO?","Optimize FAQ content for conversion.","Guide for writing buyer-oriented FAQ questions.","Structure FAQ content for better conversions.","What questions should my FAQ address?","Steps to create conversion-focused FAQs.","Generate FAQ content for a webpage.","What is the best flow for FAQ content?"],"runnable":true},{"slug":"faq-generator","title":"FAQ Generator — FAQPage Schema and Question Extraction","tags":["seo","faq","schema","featured-snippets","paa"],"agent_summary":"Generates FAQ content and FAQPage JSON-LD schema from any topic, URL, or PAA list. Produces question-answer pairs optimized for featured snippet capture and voice search.","trigger_phrases":["FAQ generator","generate FAQs","FAQ schema","FAQPage schema","FAQ content","FAQ SEO","generate questions and answers","FAQ optimization"],"runnable":true},{"slug":"featured-snippet-optimizer","title":"Featured Snippet Optimizer — Engineering the Zero-Position Answer","tags":["seo","featured-snippets","content","ctr","passage-ranking"],"agent_summary":"Engineers content for featured snippet capture: format selection by snippet type, the 40-60 word answer block, heading trigger patterns, entity declaration rules, and competitive snippet displacement strategy.","trigger_phrases":["featured snippet","zero position","answer box","position zero","engineer snippet","snippet capture","snippet optimization","answer format snippet"],"runnable":true},{"slug":"geo-relevance-semantic-mastery","title":"GEO Relevance Semantic Mastery — Local Semantic Optimization","tags":["seo","local-seo","semantic","geo","location-pages"],"agent_summary":"Optimizes local content for geographic relevance using semantic entity signals: location entity embedding, proximity signals, service-area language patterns, and local co-occurrence entities that strengthen local pack rankings.","trigger_phrases":["geo relevance","geographic SEO","local semantic SEO","location entity optimization","geo signals","local content optimization","geographic entity signals","local semantic"],"runnable":true},{"slug":"geo-tagging-sop","title":"Geo-Tagging SOP — Image and Content Geographic Signal Embedding","tags":["seo","geo-tagging","local-seo","images","geographic-signals"],"agent_summary":"Standard operating procedure for embedding geographic signals in images, content, and metadata: EXIF geo-tagging, image naming conventions, alt text with location entities, KML data integration, and geographic schema signals that strengthen local pack rankings.","trigger_phrases":["geo tagging","image geo tag","geographic SEO signals","location tagging","image metadata SEO","EXIF SEO","geo signal embedding","local image optimization"],"runnable":true},{"slug":"google-stacking-master","title":"Google Stacking — Entity Ecosystem Authority Building","tags":["seo","google-stacking","entity-seo","brand-authority","digital-presence"],"agent_summary":"Google entity stacking methodology: building a network of Google-owned and high-authority properties that all point to the money site, creating a multi-layer entity signal constellation. Covers Google Sites, Google Drive documents, YouTube, Google Maps, GMB, and high-DA interconnection strategy.","trigger_phrases":["Google stacking","Google entity stacking","Google properties SEO","Google stack SEO","entity stacking","Google Drive SEO","Google Sites SEO","Google entity network"],"runnable":true},{"slug":"google-update-proofing","title":"Google Update-Proofing — Avalanche Theory and EEAT Trust Signals","tags":["seo","google-updates","eeat","avalanche-theory","hcu","kgr"],"agent_summary":"Applies Chris Carter's Google Update-Proofing framework: Avalanche Theory for natural tier identification, KGR+Tier keyword filtering, EEAT trust signals, Real Business checklist, and recovery strategies for algorithm-hit sites.","trigger_phrases":["update proofing","Avalanche Theory","KGR keyword strategy","HCU recovery","Google core update","algorithm proofing","update recovery","Panda proofing","HCU proof"],"runnable":true},{"slug":"hcu-integration-notes","title":"Integration Notes for HCU Recovery","tags":["integration","hcu","seo","tools"],"agent_summary":"Notes on integrating various tools with the HCU recovery process.","trigger_phrases":["integrate eeat analyzer","use seo optimizer","ix-o audit integration","google algo leak utilization","content humanizer","merlino magic blog validation","nlp content generator check"],"runnable":false},{"slug":"hcu-recovery-checklist","title":"HCU Recovery & Remediation Checklist","tags":["hcu","recovery","remediation","seo"],"agent_summary":"A checklist for recovering from a Helpful Content System (HCU) penalty.","trigger_phrases":["hcu recovery","fix hcu penalty","sitewide content audit","remove low-value pages","engagement metrics","strengthen author signals","improve content quality","stop date manipulation"],"runnable":true},{"slug":"intent-analyzer","title":"Intent Analyzer — The Intent Behind the Intent","tags":["seo","intent","keywords","psychology","conversion"],"agent_summary":"Decodes three layers of search intent (observable, inferred, hidden) using search behavior psychology. Maps hidden emotional drivers that convert searchers to buyers beyond surface keyword intent.","trigger_phrases":["intent analysis","hidden intent","search psychology","intent behind intent","three layers of intent","emotional search intent","keyword psychology","convert searchers"],"runnable":true},{"slug":"internal-linking-optimizer","title":"Internal Linking Optimizer — PageRank Flow and Topical Silos","tags":["seo","internal-linking","site-architecture","pagerank","silos"],"agent_summary":"Analyzes and optimizes internal link architecture for SEO: authority flow mapping, orphan page detection, anchor text optimization, topic cluster linking, and the reasonable surfer model for link weighting.","trigger_phrases":["internal linking","link structure","orphan pages","anchor text strategy","link architecture","topical silos","PageRank flow","internal link audit"],"runnable":true},{"slug":"keyword-researcher","title":"Keyword Researcher — Volume, Intent, and Content Planning","tags":["seo","keywords","content-planning","serp","research"],"agent_summary":"Five-mode keyword research skill covering volume estimation, intent classification, SERP competition, PAA clustering, and content calendar planning. Quick / Strategy / Cluster / Plan / SERP modes.","trigger_phrases":["keyword research","find keywords","what keywords should I target","keyword clustering","content plan from keywords","SERP analysis","keyword intent","keyword competition","long-tail keywords","buyer intent keywords"],"runnable":true},{"slug":"knowledge-graph-gap-filler","title":"Knowledge Graph Gap Filler — Completing Entity Attributes","tags":["seo","entity-seo","knowledge-graph","wikidata","structured-data"],"agent_summary":"Identifies Knowledge Graph attribute gaps for any entity and generates structured data, content, and cross-platform actions to fill them. Modeled on Google's self-updating Knowledge Graph patent methodology.","trigger_phrases":["knowledge graph gaps","KG gaps","entity attributes missing","fill knowledge panel","KG gap analysis","knowledge graph audit","entity completeness","missing entity attributes"],"runnable":true},{"slug":"knowledge-panel-optimization","title":"Knowledge Panel Optimization — Brand Entity Authority in Google","tags":["seo","knowledge-panel","entity-seo","brand-authority","google-knowledge-graph"],"agent_summary":"Strategy for earning and enriching Google Knowledge Panels: entity declaration prerequisites, Wikipedia/Wikidata requirements, sameAs link building, schema signals that feed panel attributes, verification process, and ongoing panel enrichment for brand authority in Google's Knowledge Graph.","trigger_phrases":["knowledge panel","Google knowledge panel","brand knowledge panel","knowledge graph SEO","entity knowledge panel","Google knowledge graph brand","knowledge panel strategy","knowledge panel optimization"],"runnable":true},{"slug":"knowledge-panel-strategy","title":"Knowledge Panel Strategy Workflow","tags":["seo","entity-seo","knowledge-panel","wikidata"],"agent_summary":"Explains a structured workflow for acquiring and optimizing Knowledge Panels for brand entities.","trigger_phrases":["optimize knowledge panel","claim google knowledge panel","fix my knowledge panel","Wikidata entry setup","entity Google panel","schema sameAs for knowledge","knowledge disambiguation","entity resolution Google"],"runnable":true},{"slug":"koray-content-audit","title":"Koray Content Audit — Semantic Alignment Verification","tags":["seo","semantic","koray","content-audit","discourse-integration"],"agent_summary":"Audits existing articles for semantic alignment with their brief: relevance, discourse integration, distributional semantics, contextual coverage balance, and entity completeness.","trigger_phrases":["content audit Koray","semantic audit existing content","discourse integration audit","distributional semantics check","article quality audit Koray","content alignment audit","contextual coverage audit"],"runnable":true},{"slug":"koray-content-brief","title":"Koray Content Brief — Semantic Brief Templates for Writers","tags":["seo","semantic","koray","content-brief","algorithmic-authorship"],"agent_summary":"Creates semantic content briefs using Koray's algorithmic authorship methodology: contextual structure instructions, answer construction rules, scalable brief templates, and root brief design.","trigger_phrases":["content brief","Koray brief","semantic brief","author brief template","content item brief","algorithmic authorship","writer instructions","brief template"],"runnable":true},{"slug":"koray-contextual-structure","title":"Koray Contextual Structure — Content Hierarchy and Internal Linking","tags":["seo","semantic","koray","content-structure","internal-linking"],"agent_summary":"Designs contextual hierarchy within articles and across pages using Koray's methodology: main vs supplementary content, contextual bridges, and internal linking architecture.","trigger_phrases":["contextual structure","content hierarchy","Koray structure","contextual bridges","internal linking architecture","supplementary content","content flow design","semantic structure"],"runnable":true},{"slug":"koray-contextual-vector","title":"Koray Contextual Vector — Heading Structure and Content Flow","tags":["seo","semantic","koray","content-structure","headings"],"agent_summary":"Builds H1-H4 heading structures using Koray's contextual vector methodology: ordered sequences that create uninterrupted contextual flow and maximize featured snippet eligibility.","trigger_phrases":["contextual vector","heading structure","Koray headings","H1-H4 optimization","content flow order","heading hierarchy SEO","section ordering","semantic heading structure"],"runnable":true},{"slug":"koray-microsemantic-content-production","title":"Koray Microsemantic Content Production","tags":["seo","content","microsemantic","production"],"agent_summary":"Details the creation of microsemantic content that adheres to Koray's depth principle for SEO.","trigger_phrases":["produce microsemantic content","create content briefs with Koray requirements","maximize semantic depth","develop detailed content briefs"],"runnable":true},{"slug":"koray-microsemantics","title":"Koray Microsemantics — Sentence and Passage Level Optimization","tags":["seo","semantic","koray","microsemantics","passage-ranking"],"agent_summary":"Optimizes individual sentences and paragraphs for passage ranking using Koray's microsemantics: predicate/noun optimization, answer format selection, distributional semantics, and word proximity.","trigger_phrases":["microsemantics","passage ranking","sentence optimization","answer format","Koray passage","word proximity SEO","distributional semantics","passage-level SEO","predicate optimization"],"runnable":true},{"slug":"koray-query-semantics","title":"Koray Query Semantics — Query Networks and Question Generation","tags":["seo","semantic","koray","query-semantics","question-generation"],"agent_summary":"Analyzes query networks, generates questions for content briefs, turns canonical queries into optimized headings, and uses sequence modeling to predict high-value question patterns.","trigger_phrases":["query semantics","query networks","sequence modeling","canonical queries","question generation Koray","turning queries into headings","Boolean questions SEO","query column analysis"],"runnable":true},{"slug":"koray-semantic-audit-query-analysis","title":"Koray Semantic Audit & Query Analysis","tags":["seo","semantic","content","audit"],"agent_summary":"Guides the execution of a semantic audit and query analysis using the Koray Tugberk methodology.","trigger_phrases":["run a semantic audit","analyze query semantics","evaluate content via Koray method","conduct a semantic depth analysis"],"runnable":true},{"slug":"koray-semantic-seo-overview","title":"Koray Semantic SEO Overview — Vastness, Depth, and Momentum","tags":["seo","semantic-seo","koray","topical-authority","information-retrieval"],"agent_summary":"Foundational overview of Koray Tugberk Gubur's semantic SEO framework: the three dimensions of topical authority (Vastness, Depth, Momentum), the COREIS model, information retrieval theory applied to content strategy, and how semantic SEO differs from traditional keyword optimization.","trigger_phrases":["Koray semantic SEO","semantic SEO overview","topical authority framework","Vastness Depth Momentum","COREIS model","Koray Tugberk","semantic SEO theory","information retrieval SEO"],"runnable":true},{"slug":"koray-topical-map-contextual-vectors","title":"Koray Topical Map & Contextual Vectors","tags":["seo","semantic","topical map","vectors"],"agent_summary":"Instructs on building a semantic topical map and contextual vectors using Koray's methodology.","trigger_phrases":["build a topical map","define contextual vectors","map semantic topic hierarchies","identify topic gaps in coverage"],"runnable":true},{"slug":"koray-topical-map","title":"Koray Topical Map Construction","tags":["seo","semantic","koray","topical-authority","content-architecture"],"agent_summary":"Builds a full Koray-method topical map: central entity, source context, core vs outer sections, node types, and publication strategy.","trigger_phrases":["topical map","content network","semantic content network","topical authority map","content architecture Koray","build a topical map"],"runnable":true},{"slug":"llm-query-syndication","title":"LLM Query Syndication — Metehan Explore AI Summary Method","tags":["seo","llm","ai-seo","query-syndication","metehan","ai-visibility"],"agent_summary":"Implements Metehan's Explore AI Summary method: syndicating content across LLM-indexed platforms so that AI-generated summaries reference your brand. Covers query fan-out, multi-platform seeding, structured Q&A seeding for AI training, and measuring syndication reach.","trigger_phrases":["LLM query syndication","Explore AI Summary","Metehan query syndication","AI query seeding","LLM content syndication","AI summary optimization","query fan out","LLM visibility syndication"],"runnable":true},{"slug":"llms-txt-generator","title":"llms.txt Generator — AI Crawler Access and Brand Authority","tags":["seo","llms-txt","ai-seo","ai-crawlers","brand-authority"],"agent_summary":"Generates a hand-crafted llms.txt file for any domain: structure, entity declarations, allowed/disallowed sections, preferred citation language, and brand authority signals that improve AI system treatment of the site. Must be hand-crafted — not plugin-generated.","trigger_phrases":["llms.txt","llms txt file","AI crawler file","AI access file","generate llms.txt","llms.txt for AI","AI robot file","AI indexing instructions"],"runnable":true},{"slug":"local-link-silos","title":"Local Link Silos — Geographic Relevance Link Architecture","tags":["seo","local-seo","link-building","silos","geographic-relevance"],"agent_summary":"Link building architecture for local SEO: geographic link silos that concentrate location-relevant PageRank to location pages, citation link strategy, local authority site identification, GMB H1-to-CID signal, and the internal link structure that amplifies external local link signals.","trigger_phrases":["local link silos","geographic link building","local SEO links","local link architecture","citation links","local authority links","geographic PageRank","local silo links"],"runnable":true},{"slug":"local-seo-silo-generator","title":"Local SEO Silo Generator — Service and Location Page Architecture","tags":["seo","local-seo","site-architecture","silos","location-pages"],"agent_summary":"Generates full local SEO silo architecture: service pages, location pages, geo-post structure, PAA pages, URL hierarchy, internal linking plan, and the minimum viable local content set for any service area business.","trigger_phrases":["local SEO silo","location page structure","service area site architecture","local content silo","generate local SEO structure","location page generator","service area architecture","local silo build"],"runnable":true},{"slug":"long-form-video-seo-2026","title":"Long-Form Video SEO 2026 — YouTube Ranking and AI Visibility","tags":["seo","video-seo","youtube","ai-seo","content-strategy"],"agent_summary":"YouTube SEO strategy for 2026: separate channels for long-form and Shorts, chapter-based entity optimization, description entity seeding, transcript optimization for AI citation, thumbnail CTR engineering, and cross-platform video content amplification.","trigger_phrases":["video SEO","YouTube SEO","YouTube ranking","video content strategy","YouTube optimization","long-form video SEO","YouTube 2026","video AI visibility"],"runnable":true},{"slug":"mattdiggity-seo","title":"Matt Diggity SEO — Affiliate and Authority Site Methodology","tags":["seo","affiliate-seo","link-building","content-optimization","authority-sites"],"agent_summary":"Applies Matt Diggity's affiliate and authority site SEO: churn and burn vs. authority site distinction, topical authority threshold, E-E-A-T for money sites, link velocity management, and SERP-based content length calibration.","trigger_phrases":["Matt Diggity","Diggity SEO","affiliate site SEO","authority site building","churn and burn SEO","link velocity SEO","money site SEO","Diggity method"],"runnable":true},{"slug":"merlino-magic-blog","title":"Merlino Magic Blog — Multi-Channel Content Production Framework","tags":["seo","content","blog","multi-channel","local-seo"],"agent_summary":"Produces multi-channel SEO blog content using Merlino's 1-piece-to-10-platform Content Syndication Machine: blog, GMB post, video script, shorts, podcast, PR, social, images, Q&A, and schema.","trigger_phrases":["Merlino Magic Blog","magic blog","MMB","content syndication machine","one piece ten platforms","blog post SEO","multi-channel content","blog to GMB","blog to video"],"runnable":true},{"slug":"metehan-aeo-citemet","title":"Metehan CiteMET — AI Share Buttons and Direct LLM Injection","tags":["seo","ai-seo","metehan","aeo","llm-visibility","citemet"],"agent_summary":"Implements Metehan's CiteMET method: AI Share Buttons that inject content directly into LLM conversations via pre-built URLs for ChatGPT, Perplexity, Claude, Gemini, and Grok.","trigger_phrases":["CiteMET","AI share buttons","inject content into ChatGPT","AI share URL","direct LLM injection","get cited by ChatGPT","Metehan citation method","AI share link"],"runnable":true},{"slug":"metehan-aeo-rrf","title":"Metehan RRF Playbook — Reciprocal Rank Fusion for AI Citation","tags":["seo","ai-seo","metehan","aeo","rrf","llm-visibility"],"agent_summary":"Applies Metehan's RRF (Reciprocal Rank Fusion) Playbook to maximize AI citation probability: the tau threshold, k-constant, topic cluster strategy, and grounding budget optimization.","trigger_phrases":["RRF playbook","reciprocal rank fusion","RRF threshold","tau 0.020","AI citation math","RRF fused score","topic cluster RRF advantage","grounding budget"],"runnable":true},{"slug":"metehan-entity-extractor-integration","title":"Metehan Entity Extractor Workflow","tags":["semantics","entity-seo","entity-extraction","tools"],"agent_summary":"Describes the use of the Metehan Entity Extractor tool for preliminary entity extraction.","trigger_phrases":["extract entities quickly","use Metehan tool","entity triage list","Metehan for entity-seo","get entity salience","Metehan tool workflow","baseline entity extraction","optimize entity pipeline"],"runnable":true},{"slug":"metehan-machine-readable-content","title":"Metehan Machine-Readable Content Playbook","tags":["seo","ai-seo","metehan","aeo","machine-readable","content-structure"],"agent_summary":"Applies Metehan's Machine-Readable Content Playbook: formatting rules that maximize AI extraction, grounding budget, chunk sizing, and structured answer construction for AI citation.","trigger_phrases":["machine-readable content","AI-readable formatting","grounding budget optimization","content for AI extraction","Metehan machine readable","AI chunk optimization","machine readable playbook"],"runnable":true},{"slug":"on-page-quick-wins","title":"On-Page Quick Wins — High-Impact Low-Effort Optimizations","tags":["seo","on-page","quick-wins","optimization","technical"],"agent_summary":"Prioritized checklist of on-page SEO fixes that take under 30 minutes each and produce measurable ranking movement within 2-4 weeks. Covers title tags, meta descriptions, H1 optimization, schema additions, internal linking gaps, and image alt text — all executable without a developer.","trigger_phrases":["on-page quick wins","fast SEO wins","easy SEO fixes","quick on-page improvements","SEO quick fixes","on-page optimization checklist","immediate SEO improvements","30-minute SEO fixes"],"runnable":true},{"slug":"paa-content-engine","title":"PAA Content Engine — People Also Ask Research and Content Production","tags":["seo","paa","content","featured-snippets","question-research"],"agent_summary":"Systematically mines PAA questions 3 levels deep, clusters by intent, and maps each question to a content format, article type, and publishing location (blog, GMB post, FAQ schema, video script).","trigger_phrases":["PAA content","people also ask","PAA strategy","question-based content","PAA extraction","PAA clustering","answer box content","PAA to content"],"runnable":true},{"slug":"page-optimizer","title":"Page Optimizer — Full On-Page SEO Optimization Cycle","tags":["seo","on-page","content-optimization","competitive-analysis","page-audit"],"agent_summary":"Runs a complete page optimization cycle: on-page SEO audit, competitive SERP analysis, content rewrite with semantic improvements, and formatting polish. Input: URL and current title.","trigger_phrases":["optimize my page","SEO page audit","page optimizer","improve rankings for page","on-page SEO optimization","page optimization","rewrite for SEO"],"runnable":true},{"slug":"panda-quality-score-audit","title":"Panda Quality Score Audit — Patent-Grounded Content Quality Assessment","tags":["seo","content-quality","panda","google-updates","eeat"],"agent_summary":"Audits pages against Google's Panda patent family (US9135307B2, US9031929B1) covering content uniqueness, ad-to-content ratio, expert authorship, referral ratios, bounce pad detection, site-level quality propagation, and user engagement.","trigger_phrases":["Panda audit","quality score audit","Google Panda","thin content audit","content quality patent","site quality score","Panda risk","quality classifier"],"runnable":true},{"slug":"phrase-based-indexing","title":"Phrase-Based Indexing — Content Optimization for Phrase Authority","tags":["seo","phrase-based-indexing","on-page","content-optimization","semantic-seo"],"agent_summary":"Applies Google's Phrase-Based Indexing patents to content optimization: identifies independent phrases, related phrases, and phrase co-occurrence requirements that build topical authority within a document. Covers phrase completeness scoring, related phrase injection, and the phrase authority model.","trigger_phrases":["phrase-based indexing","phrase based SEO","phrase optimization","semantic phrase SEO","phrase authority","related phrase injection","phrase co-occurrence","independent phrases SEO"],"runnable":true},{"slug":"programmatic-seo","title":"Programmatic SEO — Scalable Page Generation at Volume","tags":["seo","programmatic","scalable-content","location-pages","templates"],"agent_summary":"Programmatic SEO methodology for generating hundreds of location, service, or comparison pages at scale. Covers template design, data layer requirements, uniqueness strategies, thin content avoidance, and quality gates that prevent algorithmic penalty.","trigger_phrases":["programmatic SEO","programmatic pages","bulk location pages","page templates at scale","scalable SEO","auto-generated pages","template-based SEO","location page generator"],"runnable":true},{"slug":"psychographic-keyword-research","title":"Psychographic Keyword Research — Emotion and Motivation-Driven Queries","tags":["seo","keyword-research","psychographic","intent","buyer-psychology"],"agent_summary":"Maps keyword research to buyer psychology: identifies fear-based, aspiration-based, skepticism-based, and social-proof-seeking query patterns. Produces keyword clusters organized by emotional trigger rather than topic, enabling content that converts searchers who are emotionally engaged with the problem.","trigger_phrases":["psychographic keyword research","emotional keywords","buyer psychology keywords","fear-based keywords","motivation keywords SEO","keyword psychology","emotional intent keywords","psychographic SEO"],"runnable":true},{"slug":"query-classification-content-mapper","title":"Query Classification and Content Mapper — Google Patent Taxonomy","tags":["seo","intent","query-classification","content-strategy","google-patents"],"agent_summary":"Classifies keywords using Google's patent-defined intent taxonomy, maps the ranking signal weights each query class triggers, and generates content strategy aligned to those signals. Grounded in Bill Slawski patent analysis.","trigger_phrases":["query classification","intent mapping","intent taxonomy","Google query types","patent-based intent","classify keywords","content mapper","query taxonomy"],"runnable":true},{"slug":"rank-faster-2025","title":"Rank Faster — Accelerated Indexation and Ranking Velocity","tags":["seo","indexation","ranking-velocity","speed","indexing"],"agent_summary":"Tactical playbook for accelerating Google indexation and early ranking momentum: IndexNow protocol, internal link injection for discovery, sitemap freshness signals, brand search triggers, and structured data that signals content type to crawlers faster.","trigger_phrases":["rank faster","faster indexation","speed up ranking","get indexed faster","ranking velocity","quick indexation","accelerate SEO","faster Google indexing"],"runnable":true},{"slug":"reasonable-surfer-link-audit","title":"Reasonable Surfer Link Audit — PageRank Flow Optimization","tags":["seo","internal-linking","pagerank","reasonable-surfer","link-equity"],"agent_summary":"Applies Google's Reasonable Surfer model (Patent US8117183B1) to audit internal link equity distribution: identifies high-probability links that pass maximum PageRank, low-probability link positions that waste equity, orphaned pages, and link depth problems.","trigger_phrases":["reasonable surfer","PageRank flow","link equity audit","internal link equity","PageRank distribution","link probability","reasonable surfer model","link audit PageRank"],"runnable":true},{"slug":"reddit-ai-traffic","title":"Reddit and AI Traffic — Forum SEO and Community Visibility","tags":["seo","reddit","forums","ai-traffic","community-seo","ugc"],"agent_summary":"Strategy for earning visibility in Reddit threads and AI-cited forum content: identifying subreddit opportunities, contributing expertise without spam, getting cited by AI systems from forum posts, and building brand signals through community participation.","trigger_phrases":["Reddit SEO","forum SEO","Reddit traffic","Reddit strategy","community SEO","AI cites Reddit","forum visibility","Reddit brand mentions","UGC SEO"],"runnable":true},{"slug":"schema-generator","title":"Schema Generator — JSON-LD Markup for Any Page Type","tags":["seo","schema","structured-data","json-ld","rich-results"],"agent_summary":"Generates JSON-LD schema markup for any page type using the correct schema.org type hierarchy. Covers Article, FAQ, HowTo, Product, LocalBusiness, Person, Organization, BreadcrumbList, Event, and Video.","trigger_phrases":["schema markup","JSON-LD","structured data","generate schema","schema for my page","rich results schema","schema.org markup","schema generator"],"runnable":true},{"slug":"schema-template-library","title":"Schema Template Library — Complete JSON-LD Reference for All Types","tags":["seo","schema","structured-data","json-ld","templates"],"agent_summary":"Reference library of JSON-LD templates for all major schema.org types used in SEO: Article, BlogPosting, HowTo, FAQPage, Product, Service, Person, Organization, Event, VideoObject, BreadcrumbList, and LocalBusiness variants.","trigger_phrases":["schema template","JSON-LD template","schema library","schema reference","schema examples","complete schema types","schema.org types","all schema types"],"runnable":true},{"slug":"seo-audit-framework","title":"SEO Audit Framework — Full-Site Diagnostic System","tags":["seo","audit","diagnostic","site-audit","strategy"],"agent_summary":"Merlino-style full-site SEO audit framework: 30-point diagnostic across technical health, entity signals, content quality, local presence, link authority, and AI visibility. Produces a prioritized remediation roadmap with effort-to-impact scoring for each finding.","trigger_phrases":["SEO audit","full SEO audit","site audit","SEO diagnostic","website SEO audit","SEO audit framework","Merlino audit","comprehensive SEO audit"],"runnable":true},{"slug":"seo-content-ranking-guide","title":"SEO Content Ranking Guide — What Makes Content Rank in 2026","tags":["seo","content","ranking-factors","eeat","semantic"],"agent_summary":"Comprehensive guide to modern content ranking factors: topical authority, E-E-A-T, semantic coverage, passage ranking, AI signal optimization, and the interaction between content quality and off-page signals.","trigger_phrases":["what makes content rank","ranking guide","content ranking factors","how to rank content","SEO content guide","content ranking 2026","ranking factors content"],"runnable":true},{"slug":"seo-forensic-incident-response","title":"SEO Forensic Incident Response — Traffic Drop Diagnosis and Recovery","tags":["seo","incident-response","traffic-drops","algorithm-updates","forensics"],"agent_summary":"Systematic traffic drop diagnosis: cross-referencing drop dates with Google update calendar, distinguishing algorithmic from manual actions, Panda/Penguin/HCU fingerprinting, and structured recovery playbooks.","trigger_phrases":["traffic drop","rankings dropped","SEO incident","algorithm hit","traffic decline","site penalized","rankings crashed","Google update hit","SEO forensics","traffic loss investigation"],"runnable":true},{"slug":"seo-master-framework","title":"SEO Master Framework — Multi-Channel Search Visibility System","tags":["seo","strategy","multi-channel","ai-search","framework"],"agent_summary":"Six-channel search visibility framework: Traditional Organic, Google Maps/Local, Rich Snippets/SERP Features, AI Overviews (GAI), LLM Platforms (AIO), and GEO content. Each channel has distinct ranking signals, content formats, and measurement methods.","trigger_phrases":["SEO master framework","multi-channel SEO","all search channels","SEO strategy framework","six channel SEO","search visibility system","GAI optimization","complete SEO system"],"runnable":true},{"slug":"seo-prompt-frameworks","title":"SEO Prompt Frameworks — AI-Assisted SEO Content Production","tags":["seo","prompting","ai-content","content-production","frameworks"],"agent_summary":"Systematic prompt frameworks for AI-assisted SEO content production: SEED+Growth for author personas, intent-first prompting, entity-seeded content briefs, anti-AI-tells checklist, and prompt chains for full article production.","trigger_phrases":["SEO prompt","prompt framework SEO","AI content prompt","SEO prompting","content prompt framework","AI SEO prompts","prompt chain SEO","article prompt"],"runnable":true},{"slug":"serp-feature-targeting","title":"SERP Feature Targeting — Rich Results Acquisition Strategy","tags":["seo","serp-features","rich-results","featured-snippets","schema"],"agent_summary":"Strategy for acquiring SERP features beyond blue links: featured snippets, image packs, video carousels, People Also Ask boxes, knowledge panels, local packs, sitelinks, and review stars. Each feature has distinct eligibility requirements, schema triggers, and content format specifications.","trigger_phrases":["SERP features","rich results","SERP feature targeting","featured snippets","SERP enhancement","rich snippets strategy","PAA targeting","image pack SEO"],"runnable":true},{"slug":"serp-intent-analyzer","title":"SERP Intent Analyzer — Mining SERPs for Intent Classification and Gaps","tags":["seo","intent","serp","competitive-analysis","keyword-research"],"agent_summary":"Mines Google SERPs for a keyword, classifies all results by search intent (informational/commercial/transactional/navigational), extracts PAAs 3 levels deep, and produces a keyword table with volume estimates and gap identification.","trigger_phrases":["SERP analysis","intent analysis SERP","keyword intent","search intent report","SERP mining","SERP competitive analysis","intent breakdown SERP","PAA extraction SERP"],"runnable":true},{"slug":"sitelink-optimization-audit","title":"Sitelink Optimization Audit — Earning Google Sitelinks","tags":["seo","sitelinks","site-architecture","ctr","brand-search"],"agent_summary":"Audits a website's sitelink eligibility using Bill Slawski's Search UI patent analysis: hierarchy clarity, internal link concentration, brand search volume, title differentiation, and Sitelink Search Box schema.","trigger_phrases":["sitelinks","Google sitelinks","sitelink eligibility","earn sitelinks","sitelink optimization","brand search sitelinks","sitelink search box","site hierarchy sitelinks"],"runnable":true},{"slug":"sitemap-analyzer","title":"Sitemap Analyzer — Page Inventory and Site Architecture Mapping","tags":["seo","technical-seo","sitemap","site-architecture","indexing"],"agent_summary":"Extracts root domain, crawls sitemap index, catalogs every URL with title and purpose, identifies site structure patterns, and surfaces architecture gaps for SEO planning.","trigger_phrases":["sitemap analysis","site structure","map the site","page inventory","URL inventory","site architecture audit","sitemap audit","site mapping"],"runnable":true},{"slug":"topic-cluster","title":"Topic Cluster Architecture — Pillar and Spoke Content Strategy","tags":["seo","content-architecture","topic-cluster","pillar-pages","topical-authority"],"agent_summary":"Builds hub-and-spoke topic cluster architecture: pillar page design, spoke page scope, internal linking rules, content calendar sequencing, and authority flow optimization for topical authority.","trigger_phrases":["topic cluster","pillar page","hub and spoke content","content cluster","topic cluster strategy","pillar and spoke","content silo","topical cluster"],"runnable":true},{"slug":"url-analysis-for-audience-and-value","title":"URL Analysis for Audience and Value","tags":["url-analysis","audience-segmentation","value-proposition","seo"],"agent_summary":"Guide for thorough URL analysis to determine audience segments and value propositions.","trigger_phrases":["How do I analyze a webpage's target audience?","What should I look for in a URL analysis?","Steps to identify a page's value proposition.","Determine geographic signals from a webpage.","Identify primary selling points of a URL.","Conduct an audience segmentation analysis for SEO.","Find the key elements to analyze in a URL.","Analyze a page for what it sells or promotes."],"runnable":false}]