Guide for adding new configuration settings to Wave Terminal. Use when adding a new setting to the configuration system, implementing a new config key, or adding user-customizable settings.
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Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
| Metric | Value | Source |
|---|---|---|
| AI Overviews reach | 1.5 billion users/month across 200+ countries | |
| AI Overviews query coverage | 50%+ of all queries | Industry data |
| AI-referred sessions growth | 527% (Jan-May 2025) | SparkToro |
| ChatGPT weekly active users | 900 million | OpenAI |
| Perplexity monthly queries | 500+ million | Perplexity |
Brand mentions correlate 3x more strongly with AI visibility than backlinks. (Ahrefs December 2025 study of 75,000 brands)
| Signal | Correlation with AI Citations |
|---|---|
| YouTube mentions | ~0.737 (strongest) |
| Reddit mentions | High |
| Wikipedia presence | High |
| LinkedIn presence | Moderate |
| Domain Rating (backlinks) | ~0.266 (weak) |
Only 11% of domains are cited by both ChatGPT and Google AI Overviews for the same query, so platform-specific optimization is essential.
Optimal passage length: 134-167 words for AI citation.
Strong signals:
Weak signals:
92% of AI Overview citations come from top-10 ranking pages, but 47% come from pages ranking below position 5, demonstrating different selection logic.
Strong signals:
Weak signals:
Content with multi-modal elements sees 156% higher selection rates.
Check for:
Strong signals:
Weak signals:
AI crawlers do NOT execute JavaScript. Server-side rendering is critical.
Check for:
Check robots.txt for these AI crawlers:
| Crawler | Owner | Purpose |
|---|---|---|
| GPTBot | OpenAI | ChatGPT web search |
| OAI-SearchBot | OpenAI | OpenAI search features |
| ChatGPT-User | OpenAI | ChatGPT browsing |
| ClaudeBot | Anthropic | Claude web features |
| PerplexityBot | Perplexity | Perplexity AI search |
| CCBot | Common Crawl | Training data (often blocked) |
| anthropic-ai | Anthropic | Claude training |
| Bytespider | ByteDance | TikTok/Douyin AI |
| cohere-ai | Cohere | Cohere models |
Recommendation: Allow GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot for AI search visibility. Block CCBot and training crawlers if desired.
The emerging llms.txt standard provides AI crawlers with structured content guidance.
Location: /llms.txt (root of domain)
Format:
# Title of site
> Brief description
## Main sections
- [Page title](url): Description
- [Another page](url): Description
## Optional: Key facts
- Fact 1
- Fact 2
Check for:
/llms.txtNew standard (December 2025) for machine-readable AI licensing terms.
Backed by: Reddit, Yahoo, Medium, Quora, Cloudflare, Akamai, Creative Commons
Check for: RSL implementation and appropriate licensing terms.
| Platform | Key Citation Sources | Optimization Focus |
|---|---|---|
| Google AI Overviews | Top-10 ranking pages (92%) | Traditional SEO + passage optimization |
| ChatGPT | Wikipedia (47.9%), Reddit (11.3%) | Entity presence, authoritative sources |
| Perplexity | Reddit (46.7%), Wikipedia | Community validation, discussions |
| Bing Copilot | Bing index, authoritative sites | Bing SEO, IndexNow |
Generate GEO-ANALYSIS.md with:
/llms.txt fileIf DataForSEO MCP tools are available, use ai_optimization_chat_gpt_scraper to check what ChatGPT web search returns for target queries (real GEO visibility check) and ai_opt_llm_ment_search with ai_opt_llm_ment_top_domains for LLM mention tracking across AI platforms.
| Scenario | Action |
|---|---|
| URL unreachable (DNS failure, connection refused) | Report the error clearly. Do not guess site content. Suggest the user verify the URL and try again. |
| AI crawlers blocked by robots.txt | Report exactly which crawlers are blocked and which are allowed. Provide specific robots.txt directives to add for enabling AI search visibility. |
| No llms.txt found | Note the absence and provide a ready-to-use llms.txt template based on the site's content structure. |
| No structured data detected | Report the gap and provide specific schema recommendations (Article, Organization, Person) for improving AI discoverability. |
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Guide for adding new configuration settings to Wave Terminal. Use when adding a new setting to the configuration system, implementing a new config key, or adding user-customizable settings.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guide for adding new RPC calls to Wave Terminal. Use when implementing new RPC commands, adding server-client communication methods, or extending the RPC interface with new functionality.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guide for adding new wsh commands to Wave Terminal. Use when implementing new CLI commands, adding command-line functionality, or extending the wsh command interface.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guide for creating and displaying context menus in Wave Terminal. Use when implementing right-click menus, adding context menu items, creating submenus, or handling menu interactions with checkboxes and separators.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guide for implementing a new view type in Wave Terminal. Use when creating a new view component, implementing the ViewModel interface, registering a new view type in BlockRegistry, or adding a new content type to display within blocks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guide for adding new Electron APIs to Wave Terminal. Use when implementing new frontend-to-electron communications via preload/IPC.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.