55 tagged generative engine optimization, measured the same way as everything else here.
Browse within: geo 55ai-search 37answer-engine-optimization 35aeo 14llms-txt 10perplexity 10seo 10ai-visibility 7ai-search-optimization 5content-optimization 5schema-markup 5
Auriti-Labs/geo-optimizer-skill
Agent Claude Code
Agent "TEAM_USAGE" from Auriti-Labs/geo-optimizer-skill, covering agent team usage guide, geoready / geo optimizer, 1. agent inventory, 2. read-only reviewers and 3. code-writing implementation agents.
Auriti-Labs/geo-optimizer-skill
Agent Claude Code
Designs and reviews GEO Optimizer engine, CLI, audit model, result dataclasses, JSON contract, crawler analysis, agent access, semantic drift, scoring, and core tests.
Auriti-Labs/geo-optimizer-skill
Agent Claude Code
Performs independent QA, regression testing, build verification, contract validation, smoke checks, and final PASS/PASS WITH ISSUES/FAIL reports across GEO Optimizer and GeoReady.
Agent Claude Code
Generates technical GEO assets including schema markup, meta tags, and structured data. Use after content optimization to create implementation-ready code.
Agent Claude Code
Simulates AI-engine ranking to evaluate content quality. Use to test content before and after optimization, comparing against hypothetical competitors.
Agent Claude Code
Rewrites content for maximum AI-engine ranking using GEO principles. Use after analysis to transform content while preserving brand voice and factual accuracy.
Agent
Runs AEO audit for featured snippets, voice search, and People Also Ask optimization with rich result submission guidance.
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Runs security headers audit, explains each header's SEO impact, and provides exact meta tags or server config to add.
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Runs vertical SEO audit, detects site type, and provides industry-specific schema and optimization recommendations.
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Autonomous content fixer for geo-lint violations. Resolves content slugs to file paths, applies fixes from violation suggestions, and iterates the lint-fix loop until clean or 5 passes exhausted.
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Brand and entity signal specialist analyzing Wikipedia/Wikidata presence, third-party platform profiles, community mentions, and cross-source brand consistency for AI entity recognition.
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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.
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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.
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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).
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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.
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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).
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Content quality specialist evaluating E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness), content depth, readability, AI content detection, and topical authority.
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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.
Agent
Technical SEO specialist analyzing crawlability, indexability, security, URL structure, mobile optimization, Core Web Vitals (INP replaces FID), server-side rendering, and JavaScript dependency.