Strategy & Workflows 28s
Multi-Agent SEO Prompt & Execution Flow (Kimi 2M Context)
Executes a 7-layer recursive SEO prompt workflow choreographing research, outline generation, semantic drafting, and schema validation.
Moonshot Kimi SEO Skills: Complete Setup & Skill Catalog (2026)
Browse the complete collection of production-ready SEO skills, MCP configurations, and agentic workflows built specifically for Moonshot Kimi (2 Million Token Context Window for Massive Multi-Domain Audits). Automate technical audits, schema validation, and topical authority mapping directly inside your Moonshot Kimi API.
1-Line CLI Setup:
npx @seoskillsai/cli run kimi-bulk-audit ACTIVE AGENT MODULES
Available Moonshot Kimi SEO Skill Modules (29)
Pre-configured agentic skills optimized for Kimi 2M Context.
Technical & Crawl 9s
Google Search Console & Indexing API Automation (Kimi 2M Context)
Automates Google Search Console API reporting, indexation requests, URL inspections, and performance delta alerts.
Strategy & Workflows 14s
Search Experience Optimization (SXO) & User Flow (Kimi 2M Context)
Optimizes user dwell time, click-input-click interactive loops, mobile centerpiece visibility, and eliminates bounce triggers.
Technical & Crawl 12s
Technical & On-Page AI SEO Audit (Kimi 2M Context)
Autonomous site crawl inspecting status codes, canonicals, DOM hierarchy, schema syntax, and semantic entity density in under 30 seconds.
Strategy & Workflows 18s
AI SEO Strategy & Topical Roadmap (Kimi 2M Context)
Generates 10-phase semantic topical authority roadmaps, crawl budget sequencing, and entity cluster matrices.
Structured Data 8s
JSON-LD Structured Data Automation (Kimi 2M Context)
Generates and validates interconnected JSON-LD schema graphs (WebSite, TechArticle, SoftwareSourceCode, FAQPage, BreadcrumbList).
Content & Entities 22s
Semantic AI Copywriting & Entity Grounding (Kimi 2M Context)
Authors high-converting, metric-backed developer content free of AI filler words, optimized for Information Gain and SERP triples.
Strategy & Workflows 14s
AI Backlink Profile & Anchor Sculpting (Kimi 2M Context)
Audits inbound link equity, detects over-optimized anchor text risks, and maps internal PageRank flow across topical silos.
Content & Entities 25s
SERP Overlap Topic Clustering (Kimi 2M Context)
Clusters 10,000+ raw keywords into non-cannibalizing topical silos using mathematical SERP URL overlap algorithms.
GEO & Future Search 16s
Generative Engine Optimization (GEO) (Kimi 2M Context)
Optimizes content structure and citation density for LLM search engines (Perplexity, ChatGPT Search, Gemini, Claude).
GEO & Future Search 6s
LLMs.txt & Markdown Standard Generator (Kimi 2M Context)
Generates standard-compliant llms.txt and llms-full.txt files to provide AI crawlers with structured context.
GEO & Future Search 15s
AI Overview & LLM Citation Tracker (Kimi 2M Context)
Monitors brand mentions, domain citations, and reference links across Google AI Overviews and Perplexity.
Technical & Crawl 5s
AI Crawler Access & robots.txt Manager (Kimi 2M Context)
Dynamically manages permissions and crawl budgets for GPTBot, ClaudeBot, Google-Extended, and PerplexityBot.
Technical & Crawl 10s
Core Web Vitals & Server Rendering Optimizer (Kimi 2M Context)
Audits TTFB, CLS, LCP, INP, font preloading, and Astro Server Island configurations for 100/100 Lighthouse scores.
Technical & Crawl 7s
Automated XML & HTML Sitemap Architecture (Kimi 2M Context)
Generates segmented XML sitemaps and dynamic, accessible HTML sitemap directories with real-time category counts.
Strategy & Workflows 12s
AI Ranking Drift & Content Decay Monitor (Kimi 2M Context)
Monitors organic keyword rank changes and proactively alerts when competitor updates cause content freshness decay.
Structured Data 16s
E-Commerce AI SEO & Product Schema (Kimi 2M Context)
Scales rich product schema (Product, AggregateOffer, MerchantReturnPolicy) and category faceted indexation rules.
Strategy & Workflows 14s
Local SEO, Geo-Targeting & GBP Automation (Kimi 2M Context)
Automates Google Business Profile entity optimization, local citations, NAP consistency, and geo-targeted landing pages.
Strategy & Workflows 11s
Google Maps & Local Pack Dominance (Kimi 2M Context)
Reverse-engineers map pack ranking algorithms, proximity signals, review velocity, and localized CTR.
Technical & Crawl 30s
Programmatic SEO & Template Scaling (Kimi 2M Context)
Generates 1,000+ programmatic landing pages with unique entity-attribute data, avoiding thin content penalties.
Content & Entities 20s
Competitor Topical Map Scraping & Gap Analysis (Kimi 2M Context)
Reverse-engineers competitor sitemaps, heading hierarchies, word counts, and keyword positions in real time.
Technical & Crawl 9s
Live SERP API & Data Grounding (Kimi 2M Context)
Directly connects AI agents to real-time Google and Bing SERP APIs for live search volume and ranking data.
Content & Entities 8s
Visual Semantic Image SEO & WebP Pipeline (Kimi 2M Context)
Automates responsive WebP/AVIF generation, 16:9 Google Discover aspect ratios, semantic ALT text, and C2PA badges.
Content & Entities 12s
Contextual AI Asset Generation & Alt Labelling (Kimi 2M Context)
Generates high-resolution, contextual editorial illustrations and diagrams with strict IPTC DigitalSourceType labeling.
Technical & Crawl 9s
Multilingual & Cross-Regional Hreflang Architecture (Kimi 2M Context)
Configures bidirectional hreflang tags, x-default fallback routing, and localized content silo synchronization.
Content & Entities 14s
AI Factuality & Hallucination Guardrails (Kimi 2M Context)
Enforces algorithmic source verification, Wikipedia Wikidata entity grounding, and anti-hallucination verification checks.
GEO & Future Search 16s
Vector Search, Semantic Embeddings & RAG Optimizer (Kimi 2M Context)
Optimizes content embeddings, chunking strategies, and vector distance for LLM retrieval and semantic search engines.
Structured Data 11s
Schema Knowledge Graph & Entity Reconciliation (Kimi 2M Context)
Builds interconnected Schema.org @graph knowledge networks with definedTerm, sameAs Wikipedia links, and semantic triples.
Content & Entities 8s
Single-Page Semantic SEO & Heading Tree Optimization (Kimi 2M Context)
Audits single-page semantic architecture, H1-H6 heading sequences, centerpiece annotations, and dwell-time retention hooks.
CONFIGURATION PROTOCOL
How to Install and Configure Moonshot Kimi SEO Skills
Step-by-step installation instructions for Moonshot Kimi API.
1
Install the Global CLI Package
Install the official SEO Skills AI CLI to manage agent configurations.
npm install -g @seoskillsai/cli 2
Inject Configuration into kimi_context_config.json
Register the MCP server or skill rules into your environment:
seoskillsai add kimi --config kimi_context_config.json 3
Execute Your First Autonomous Audit
Prompt Kimi 2M Context in natural language to analyze your website:
/seo:audit https://yourdomain.com --depth full MULTI-AGENT MATRIX
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PEOPLE ALSO ASK
Frequently Asked Questions About Moonshot Kimi SEO
Verified answers to common technical and architectural questions.
How do I install SEO skills in Moonshot Kimi?
Run 'npx @seoskillsai/cli run kimi-bulk-audit' in your terminal. This automatically updates your 'kimi_context_config.json' with the verified skill endpoints and schemas.
Is Moonshot Kimi fully compatible with Model Context Protocol (MCP)?
Yes! For Claude Code, Cline, and Antigravity, all skills run natively via standard MCP protocols. For ChatGPT, we provide OpenAPI 3.0 Action manifests.
What is the estimated token cost per audit run in Moonshot Kimi?
A comprehensive technical audit in Moonshot Kimi uses approximately 3,500–5,000 tokens, equating to ~$0.01–$0.02 on standard commercial APIs, or $0.00 if using local open-weight models.