### Install Gemini SEO Skill using Gemini CLI Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/INSTALLATION.md Use this command to install the Gemini SEO skill from a downloaded `.skill` file. The `--scope user` flag installs it for the current user. ```bash gemini skills install path/to/gemini-seo.skill --scope user ``` -------------------------------- ### Install Gemini SEO Skill (Release) Source: https://context7.com/avalonreset/gemini-seo/llms.txt Install the Gemini SEO skill from a release file using the Gemini CLI. Ensure Python dependencies and Playwright browsers are installed separately if web fetching or screenshots are needed. ```bash gemini skills install path/to/gemini-seo.skill --scope user /skills reload /skills list pip install playwright beautifulsoup4 requests lxml Pillow python -m playwright install chromium ``` -------------------------------- ### Install Gemini SEO Skill Source: https://github.com/avalonreset/gemini-seo/blob/main/README.md Install the Gemini SEO skill using the Gemini CLI. Ensure you have downloaded the latest .skill file from the releases page. Reload the CLI session after installation. ```bash gemini skills install path/to/gemini-seo.skill --scope user ``` ```bash /skills reload ``` ```bash /skills list ``` -------------------------------- ### Clone Repository and Install Dependencies Source: https://github.com/avalonreset/gemini-seo/blob/main/CONTRIBUTING.md Clone the Gemini SEO repository and install the required Python packages using pip. ```bash git clone https://github.com/avalonreset/gemini-seo.git cd gemini-seo pip install -r requirements.txt ``` -------------------------------- ### Re-run Gemini SEO Installer Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md Re-run the installation script to ensure all components are correctly installed. ```bash curl -fsSL https://raw.githubusercontent.com/avalonreset/gemini-seo/main/install.sh | bash ``` -------------------------------- ### Install Playwright Browsers Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md Install the necessary browser binaries for Playwright to function. ```bash playwright install chromium ``` -------------------------------- ### Install Playwright and Browsers via Python Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md If direct Playwright installation fails, try installing it via pip and then installing the browsers. ```bash pip install playwright ``` ```bash python -m playwright install chromium ``` -------------------------------- ### Install Individual Python Packages Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md Install specific Python packages individually if needed. ```bash pip install --user beautifulsoup4 requests lxml playwright Pillow urllib3 validators ``` -------------------------------- ### Verify SEO Skill Installation Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md Check if the SKILL.md file exists in the expected directory to verify installation. ```bash ls ~/.Gemini/skills/seo/SKILL.md ``` -------------------------------- ### List Installed Gemini Skills Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/INSTALLATION.md Verify that the `gemini-seo` skill has been successfully installed by listing all available skills. ```bash /skills list ``` -------------------------------- ### Example Hook Configuration in settings.json Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md Illustrates the expected JSON structure for configuring a PostToolUse hook in Gemini settings. ```json { "hooks": { "PostToolUse": [ { "matcher": "Edit|Write", "hooks": [ { "type": "command", "command": "python3 ~/.Gemini/skills/seo/hooks/validate-schema.py \"$FILE_PATH\"", "exitCodes": { "2": "block" } } ] } ] } } ``` -------------------------------- ### Build and Install Gemini SEO from Source Source: https://context7.com/avalonreset/gemini-seo/llms.txt Clone the Gemini SEO repository and build the skill from source using Node.js scripts. This method is suitable for development or modification purposes. ```bash git clone https://github.com/avalonreset/gemini-seo.git cd gemini-seo node path/to/skill-creator/scripts/package_skill.cjs . gemini skills install gemini-seo.skill --scope user ``` -------------------------------- ### Install Python Dependencies with --user Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md If the venv is not available, install dependencies using pip with the --user flag. ```bash pip install --user -r ~/.Gemini/skills/seo/requirements.txt ``` -------------------------------- ### Product Schema Example Source: https://github.com/avalonreset/gemini-seo/blob/main/assets/plan-templates/ecommerce.md Example of Product schema markup for an e-commerce product page. Ensure this is in server-rendered HTML for Google Merchant Center. ```json { "@context": "https://schema.org", "@type": "Product", "name": "Product Name", "image": ["https://example.com/product.jpg"], "description": "Product description", "sku": "SKU123", "brand": { "@type": "Brand", "name": "Brand Name" }, "offers": { "@type": "Offer", "price": "99.99", "priceCurrency": "USD", "availability": "https://schema.org/InStock", "url": "https://example.com/product" }, "aggregateRating": { "@type": "AggregateRating", "ratingValue": "4.5", "reviewCount": "42" } } ``` -------------------------------- ### Check SKILL.md Frontmatter Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md Inspect the first few lines of SKILL.md to ensure it starts with YAML frontmatter. ```bash head -5 ~/.Gemini/skills/seo/SKILL.md ``` -------------------------------- ### ProfessionalService Schema Example Source: https://github.com/avalonreset/gemini-seo/blob/main/assets/plan-templates/agency.md An example of Schema.org's ProfessionalService markup to define an agency's core business information for search engines. ```json { "@context": "https://schema.org", "@type": "ProfessionalService", "name": "Agency Name", "description": "What the agency does", "url": "https://example.com", "logo": "https://example.com/logo.png", "address": { "@type": "PostalAddress", "streetAddress": "123 Agency St", "addressLocality": "City", "addressRegion": "State", "postalCode": "12345" }, "telephone": "+1-555-555-5555", "areaServed": "National", "hasOfferCatalog": { "@type": "OfferCatalog", "name": "Services", "itemListElement": [ { "@type": "Offer", "itemOffered": { "@type": "Service", "name": "Service 1" } } ] } } ``` -------------------------------- ### Install Python Dependencies for Gemini SEO Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/INSTALLATION.md Install the necessary Python packages, including Playwright and BeautifulSoup, for Gemini SEO's web interaction scripts. ```bash pip install playwright beautifulsoup4 python -m playwright install chromium ``` -------------------------------- ### Pre-Commit SEO Hook Script Example Source: https://context7.com/avalonreset/gemini-seo/llms.txt Example output from the pre-commit SEO check script. It indicates critical errors (blocking commits) and warnings (allowing commits with notifications). ```bash # What the hook checks on staged .html/.jsx/.tsx/.vue/.php files: # EXIT 2 (blocks commit): # - Placeholder text in schema: [Business Name], [City], [INSERT], etc. # - Deprecated schema types: HowTo, SpecialAnnouncement # # EXIT 0 with warnings (allows commit): # - Title tag length outside 30-60 chars # - Images without alt text # - References to FID instead of INP # - Meta description outside 120-160 chars # Example output: # πŸ” Running pre-commit SEO checks... # πŸ›‘ index.html: Contains deprecated schema type # ⚠️ about.html: Title tag length 22 chars (recommend 30-60) # πŸ›‘ 2 critical error(s) found β€” commit blocked ``` -------------------------------- ### Install Python Dependencies in venv Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md Use the virtual environment's pip to install project dependencies from requirements.txt. ```bash ~/.Gemini/skills/seo/.venv/bin/pip install -r ~/.Gemini/skills/seo/requirements.txt ``` -------------------------------- ### Other Gemini SEO Workflow Examples Source: https://github.com/avalonreset/gemini-seo/blob/main/README.md Examples of other SEO workflows available in Gemini SEO, including deep page analysis, hreflang validation, and sitemap generation from a list of URLs. ```bash Analyze this page deeply: https://example.com/about ``` ```bash Validate hreflang for https://example.com ``` ```bash Generate a sitemap from this URL list ``` -------------------------------- ### Programmatic SEO Analysis and Planning Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/COMMANDS.md Initiates programmatic SEO analysis for a given URL or starts a planning process. Useful for generating content at scale. ```bash /seo programmatic https://example.com/tools/ ``` ```bash /seo programmatic plan ``` -------------------------------- ### Markdown Comparison Table Source: https://github.com/avalonreset/gemini-seo/blob/main/references/seo-competitor-pages.md Example of a feature matrix layout using Markdown for comparing products. ```markdown | Feature | Your Product | Competitor A | Competitor B | |------------------|:------------:|:------------:|:------------:| | Feature 1 | βœ… | βœ… | ❌ | | Feature 2 | βœ… | ⚠️ Partial | βœ… | | Feature 3 | βœ… | ❌ | ❌ | | Pricing (from) | $X/mo | $Y/mo | $Z/mo | | Free Tier | βœ… | ❌ | βœ… | ``` -------------------------------- ### Sitemap with Hreflang Tags Source: https://github.com/avalonreset/gemini-seo/blob/main/references/seo-hreflang.md Example of an XML sitemap including hreflang alternate links for different languages and regions. Ensure the xhtml namespace is declared and all language alternates are present for each URL. ```xml https://example.com/page https://example.com/fr/page ``` -------------------------------- ### Audit Image Optimization Source: https://context7.com/avalonreset/gemini-seo/llms.txt This command initiates an audit of all images on a given URL, checking for optimization issues such as alt text quality, file size, format, responsive attributes, and lazy loading. The example markup shows correct implementation. ```html Professional plumber repairing kitchen sink faucet ``` -------------------------------- ### Package Gemini SEO Skill from Source Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/INSTALLATION.md Use the `skill-creator` tool to package the Gemini SEO project into a `.skill` file when building from source. ```bash node path/to/skill-creator/scripts/package_skill.cjs . ``` -------------------------------- ### Download requirements.txt Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md Download the requirements.txt file directly if it's missing. ```bash curl -fsSL https://raw.githubusercontent.com/avalonreset/gemini-seo/main/requirements.txt \ -o ~/.Gemini/skills/seo/requirements.txt ``` -------------------------------- ### Run Lighthouse CLI Source: https://github.com/avalonreset/gemini-seo/blob/main/references/cwv-thresholds.md Execute Lighthouse from the command line to analyze a URL and generate a report. The output can be saved in JSON format for further processing. ```bash # Lighthouse CLI npx lighthouse URL --output json --output-path report.json ``` -------------------------------- ### Load and Use Schema Templates (Python) Source: https://context7.com/avalonreset/gemini-seo/llms.txt Loads JSON-LD schema templates from a file and demonstrates how to use the 'ProfilePage' template to create E-E-A-T author markup. Ensure 'assets/templates.json' exists and contains the 'templates' key with 'type' and 'template' fields. ```python import json with open("assets/templates.json") as f: templates = json.load(f)["templates"] # Available template types: # VideoObject, BroadcastEvent, Clip, SeekToAction, # SoftwareSourceCode, ProductGroup, ProfilePage, # Certification, OfferShippingDetails # Example: ProfilePage for E-E-A-T author markup profile_template = next(t for t in templates if t["type"] == "ProfilePage") schema = profile_template["template"] schema["mainEntity"]["name"] = "Jane Smith" schema["mainEntity"]["url"] = "https://acme.com/author/jane" schema["mainEntity"]["description"] = "Jane is a certified SEO specialist with 10 years of experience." schema["mainEntity"]["sameAs"] = [ "https://twitter.com/janesmith", "https://linkedin.com/in/janesmith" ] print(json.dumps(schema, indent=2)) ``` -------------------------------- ### Image Optimization Command Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/COMMANDS.md Analyzes and provides recommendations for image optimization. Requires a URL. ```bash /seo images ``` -------------------------------- ### Reload Gemini Skills in CLI Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/INSTALLATION.md After installing or updating a skill, run this command in the Gemini CLI to reload the skills context. ```bash /skills reload ``` -------------------------------- ### Recommended SaaS Site Architecture Source: https://github.com/avalonreset/gemini-seo/blob/main/assets/plan-templates/saas.md A hierarchical site structure for SaaS products, organizing content by product features, solutions, pricing, customer stories, resources, documentation, company information, and comparisons. ```tree / β”œβ”€β”€ Home β”œβ”€β”€ /product (or /platform) β”‚ β”œβ”€β”€ /features β”‚ β”‚ β”œβ”€β”€ /feature-1 β”‚ β”‚ β”œβ”€β”€ /feature-2 β”‚ β”‚ └── ... β”‚ β”œβ”€β”€ /integrations β”‚ β”‚ β”œβ”€β”€ /integration-1 β”‚ β”‚ └── ... β”‚ └── /security β”œβ”€β”€ /solutions β”‚ β”œβ”€β”€ /by-industry β”‚ β”‚ β”œβ”€β”€ /industry-1 β”‚ β”‚ └── ... β”‚ └── /by-use-case β”‚ β”œβ”€β”€ /use-case-1 β”‚ └── ... β”œβ”€β”€ /pricing β”œβ”€β”€ /customers β”‚ β”œβ”€β”€ /case-studies β”‚ β”‚ β”œβ”€β”€ /case-study-1 β”‚ β”‚ └── ... β”‚ └── /testimonials β”œβ”€β”€ /resources β”‚ β”œβ”€β”€ /blog β”‚ β”œβ”€β”€ /guides β”‚ β”œβ”€β”€ /webinars β”‚ β”œβ”€β”€ /templates β”‚ └── /glossary β”œβ”€β”€ /docs (or /help) β”‚ └── /api β”œβ”€β”€ /company β”‚ β”œβ”€β”€ /about β”‚ β”œβ”€β”€ /careers β”‚ β”œβ”€β”€ /press β”‚ └── /contact └── /compare β”œβ”€β”€ /vs-competitor-1 └── /vs-competitor-2 ``` -------------------------------- ### NewsArticle Schema Example Source: https://github.com/avalonreset/gemini-seo/blob/main/assets/plan-templates/publisher.md Use this JSON-LD schema to mark up news articles. Ensure all fields, especially author and publisher details, are accurate and complete. ```json { "@context": "https://schema.org", "@type": "NewsArticle", "headline": "Article Headline", "datePublished": "2026-02-07T10:00:00Z", "dateModified": "2026-02-07T14:30:00Z", "author": { "@type": "Person", "name": "Author Name", "url": "https://example.com/authors/author-name" }, "publisher": { "@type": "Organization", "name": "Publication Name", "logo": { "@type": "ImageObject", "url": "https://example.com/logo.png" } }, "image": ["https://example.com/article-image.jpg"], "mainEntityOfPage": { "@type": "WebPage", "@id": "https://example.com/article-url" } } ``` -------------------------------- ### Generative Engine Optimization (GEO) Checklist for SaaS Source: https://github.com/avalonreset/gemini-seo/blob/main/assets/plan-templates/saas.md A checklist of actions to optimize SaaS content for Generative AI, focusing on structured data, original metrics, and clear descriptions that AI systems can parse and cite. ```markdown - [ ] Include clear, structured feature comparisons that AI systems can parse and cite - [ ] Use SoftwareApplication schema with complete feature lists and pricing - [ ] Publish original benchmark data, case studies, and ROI metrics - [ ] Build content clusters around key product categories and use cases - [ ] Ensure integration pages have clear, quotable descriptions - [ ] Structure pricing information in tables AI can extract - [ ] Monitor AI citation across Google AI Overviews, ChatGPT, and Perplexity ``` -------------------------------- ### Full Audit Orchestration Flow Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/ARCHITECTURE.md Illustrates the parallel processing and aggregation of results during a full SEO audit, starting from the main orchestrator skill and spawning multiple specialized agents. ```text User Request β”‚ β–Ό β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ seo β”‚ ← Main orchestrator β”‚ (SKILL.md) β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚ β”‚ Detects business type β”‚ Spawns multi-agents in parallel β”‚ β”Œβ”€β”€β”€β”€β”΄β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β” β–Ό β–Ό β–Ό β–Ό β–Ό β–Ό β”Œβ”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β” β”‚tech β”‚ β”‚contentβ”‚ β”‚schema β”‚ β”‚sitemapβ”‚ β”‚perf β”‚ β”‚visual β”‚ β”‚agent β”‚ β”‚agent β”‚ β”‚agent β”‚ β”‚agent β”‚ β”‚agent β”‚ β”‚agent β”‚ β””β”€β”€β”€β”¬β”€β”€β”€β”˜ β””β”€β”€β”€β”¬β”€β”€β”€β”˜ β””β”€β”€β”€β”¬β”€β”€β”€β”˜ β””β”€β”€β”€β”¬β”€β”€β”€β”˜ β””β”€β”€β”€β”¬β”€β”€β”€β”˜ β””β”€β”€β”€β”¬β”€β”€β”€β”˜ β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”¬β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚ β–Ό β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Aggregate β”‚ β”‚ Results β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚ β–Ό β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Generate β”‚ β”‚ Report β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ ``` -------------------------------- ### Optimize for AI Overviews Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/COMMANDS.md Analyzes content for optimization with AI Overviews and generative search engines, focusing on citability, readability, and entity clarity. ```bash /seo geo https://example.com/blog/guide ``` -------------------------------- ### Configure Google Search Console MCP Server Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/MCP-INTEGRATION.md Set up the `mcp-server-gsc` for organic search data. Ensure the `GOOGLE_CREDENTIALS_PATH` environment variable points to your service account key. ```json { "mcpServers": { "google-search-console": { "command": "npx", "args": ["-y", "mcp-server-gsc"], "env": { "GOOGLE_CREDENTIALS_PATH": "/path/to/credentials.json" } } } } ``` -------------------------------- ### llms.txt Content Structure Source: https://github.com/avalonreset/gemini-seo/blob/main/references/seo-geo.md This is an example of the llms.txt file format, used to provide AI crawlers with structured content guidance. It includes a site title, description, main sections with page links, and optional key facts. ```text # Title of site > Brief description ## Main sections - [Page title](url): Description - [Another page](url): Description ## Optional: Key facts - Fact 1 - Fact 2 ``` -------------------------------- ### LocalBusiness Schema Example for Local Services Source: https://github.com/avalonreset/gemini-seo/blob/main/assets/plan-templates/local-service.md This JSON-LD schema markup provides essential information for local businesses, including name, address, contact details, operating hours, geographic coordinates, service area, and price range. It is crucial for search engines to understand and display local business information accurately. ```json { "@context": "https://schema.org", "@type": "LocalBusiness", "name": "Business Name", "address": { "@type": "PostalAddress", "streetAddress": "123 Main St", "addressLocality": "City", "addressRegion": "State", "postalCode": "12345" }, "telephone": "+1-555-555-5555", "openingHours": "Mo-Fr 08:00-18:00", "geo": { "@type": "GeoCoordinates", "latitude": "40.7128", "longitude": "-74.0060" }, "areaServed": ["City 1", "City 2"], "priceRange": "$$" } ``` -------------------------------- ### Schema Recommendations for SaaS Pages Source: https://github.com/avalonreset/gemini-seo/blob/main/assets/plan-templates/saas.md Mapping of common SaaS page types to appropriate Schema.org types for improved search engine understanding and rich result potential. ```markdown | Page Type | Schema Types | |-----------|-------------| | Homepage | Organization, WebSite, SoftwareApplication | | Product/Features | SoftwareApplication, Offer | | Pricing | SoftwareApplication, Offer (with pricing) | | Blog | Article, BlogPosting | | Case Studies | Article, Organization (customer) | | Documentation | TechArticle | ``` -------------------------------- ### Test Fetch Script Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md Run the fetch_page.py script directly to test fetching a URL. ```python python3 ~/.Gemini/skills/seo/scripts/fetch_page.py https://example.com ``` -------------------------------- ### Analyze AI Search Readiness (GEO) Source: https://context7.com/avalonreset/gemini-seo/llms.txt Run this command to assess a page's optimization for AI-driven search results like Google AI Overviews and ChatGPT. It checks for citability, readability, entity clarity, and AI crawler access. ```bash /seo geo https://acme.com/blog/best-practices-guide ``` -------------------------------- ### Verify requirements.txt Exists Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md Check if the requirements.txt file is present in the skill directory. ```bash ls ~/.Gemini/skills/seo/requirements.txt ``` -------------------------------- ### Generate Competitor Comparison Pages Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/COMMANDS.md Generates comparison page layouts, 'Alternatives to X' structures, and feature comparison matrices, with options to specify a URL or generate new content. ```bash /seo competitor-pages https://example.com/vs/competitor ``` ```bash /seo competitor-pages generate ``` -------------------------------- ### Re-install Gemini SEO Agents Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md Copy agent files from the skill's source directory to the Gemini agents directory. ```bash cp /path/to/Gemini-seo/agents/*.md ~/.Gemini/agents/ ``` -------------------------------- ### Analyze E-E-A-T and Content Quality Source: https://context7.com/avalonreset/gemini-seo/llms.txt Use this command to evaluate a URL against Google's E-E-A-T framework. It provides a breakdown of scoring weights for Experience, Expertise, Authoritativeness, and Trustworthiness. ```bash /seo content https://acme.com/blog/how-to-fix-leaky-faucet ``` -------------------------------- ### Check Gemini Settings for Hooks Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/TROUBLESHOOTING.md View the Gemini settings file to verify hook configurations. ```bash cat ~/.Gemini/settings.json ``` -------------------------------- ### Run Full-Site SEO Audit Source: https://context7.com/avalonreset/gemini-seo/llms.txt Initiate a comprehensive SEO audit for a given URL. Append 'premium report' to generate HTML and PDF deliverables. The audit covers up to 500 pages and aggregates results into a prioritized action plan. ```bash # Inside Gemini CLI β€” natural language or slash command Run a full SEO audit for https://acme.com # Equivalent slash command /seo audit https://acme.com # Append "premium report" to force HTML/PDF client deliverable Run a full SEO audit for https://acme.com premium report ``` -------------------------------- ### Clone Gemini SEO Repository Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/INSTALLATION.md Clone the Gemini SEO repository from GitHub to build the skill from source code. ```bash git clone https://github.com/avalonreset/gemini-seo.git cd gemini-seo ``` -------------------------------- ### Generate Strategic SEO Plan Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/COMMANDS.md Creates a complete SEO strategy for a specified business type, including competitive analysis, content calendar, and implementation roadmap. ```bash /seo plan saas ``` -------------------------------- ### Analyze or Generate Competitor Comparison Pages Source: https://context7.com/avalonreset/gemini-seo/llms.txt Analyzes existing 'vs' or 'alternatives' pages, or generates new comparison pages with feature matrices and schema markup. Enforces fairness guidelines. ```bash # Audit an existing comparison page /seo competitor-pages https://acme.com/vs/competitor-x ``` ```bash # Generate a new comparison page /seo competitor-pages generate ``` ```json { "@context": "https://schema.org", "@type": "Product", "name": "Acme SEO Tool", "aggregateRating": { "@type": "AggregateRating", "ratingValue": "4.7", "reviewCount": "312" } } ``` -------------------------------- ### Strategic Planning Command Source: https://github.com/avalonreset/gemini-seo/blob/main/docs/COMMANDS.md Initiates strategic SEO planning. Specify the type of plan to generate. ```bash /seo plan ```