Research specialist for blog content. Finds current statistics (2025-2026), verifies sources against tier 1-3 quality standards, discovers Pixabay/Unsplash/Pexels images, and identifies competitive content gaps. Invoked for statistic research, image discovery, and competitive analysis tasks during blog writing…
Quality assessment specialist for blog posts. Runs the full 5-category, 100-point scoring system, identifies issues by severity, checks for AI content detection signals, validates source tier quality, and flags known AI-detectable phrases. Invoked for quality review tasks during blog workflows.
Content generation specialist for blog posts. Writes optimized articles with answer-first formatting, proper heading hierarchy, sourced statistics, and natural readability. Follows the 6 pillars of dual optimization. Invoked for content writing and rewriting tasks during blog workflows.
Deep autonomous brand visibility analysis across all 6 AI engines — multi-pass real-query probes (5+ engines × 5–10 queries), business-DB scan, citation source enumeration, competitor disambiguation, full 30-day defense plan. Use ONLY when the user explicitly asks for "deep AI visibility analysis", "agent mode"…
Deep autonomous competitor research — multi-pass crawl across 5+ competitors with full backlink delta, 1000+-term keyword overlap, schema coverage scan, and review-platform delta. Use ONLY when the user explicitly asks for "deep competitor analysis", "agent mode", "autonomous competitor research", "full competitor…
Run a full SEO + AEO + GEO audit on a website or codebase. Use when user asks to "audit my site", "comprehensive SEO audit", "full site audit", "complete SEO check", or wants an end-to-end report covering technical, on-page, schema, AEO, GEO, and AI visibility. Autonomously crawls the codebase or fetches URLs and…
Brand and entity signal specialist analyzing Wikipedia/Wikidata presence, third-party platform profiles, community mentions, and cross-source brand consistency for AI entity recognition.
AI citability scoring and optimization specialist. Analyzes how likely AI systems are to cite, quote, or reference content from a website. Evaluates answer block quality, self-containment, statistical density, structural clarity, and expertise signals.
Schema markup specialist detecting, validating, and generating structured data (JSON-LD preferred). Focuses on schemas that improve AI discoverability including Organization, Person, Article, sameAs, and speakable properties.
Drives one engine capture playbook over a chunk of (query, lens) rows and returns validated QueryCapture JSON. Never writes the DB, never starts servers. Spawned by the open-geo orchestrator (STEP 3).
Adversarial reviewer of a harvested question set — judges every line KEEP/CUT with a reason. Spawned by the open-geo orchestrator (STEP A.5, Phase C). Never edits files, never runs the capture.
Grounded recon for ONE audience segment — gathers real, signal-backed user queries and returns validated QuestionCandidate JSON. Never writes questions.csv, never touches the DB. Spawned by the open-geo orchestrator (STEP A.5, Phase A).
GEO specialist analyzing AI search visibility: citability scoring, AI crawler access, llms.txt compliance, and brand mention presence across AI-cited platforms. Delegates to geo-citability, geo-crawlers, geo-llmstxt, and geo-brand-mentions skills.