ai-seo
When the user wants to build programmatic SEO with AI, create competitor alternative pages, optimize for AI Overviews, or scale content production. Also use when the user mentions 'SEO,' 'programmatic SEO,' 'AI content,' 'competitor alternative pages,' 'AI Overviews,' 'search optimization,' 'DataForSEO,' 'content at scale,' 'keyword strategy,' or 'organic traffic.' This skill covers AI-powered SEO strategy from keyword research through programmatic page generation. Do NOT use for technical implementation, code review, or software architecture.
npx skills add tech-leads-club/agent-skills --skill ai-seo --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
The ai-seo skill guides an agent to act as an AI-powered SEO strategist for programmatic content generation, competitor alternative keyword strategies, AI Overviews optimization, and GEO. It targets use cases around building scalable organic traffic with AI tools, structured data, and templated page architectures, covering keyword research through programmatic page generation. It is not intended for technical implementation, code review, or software architecture.
How it works
The skill begins by confirming the user's SEO stack and clarifying goals (programmatic pages at scale, competitor alternatives, AI Overviews visibility, or full-stack AI SEO). It asks about domain authority, content production capacity, access to Google Search Console and DataForSEO/Semrush credentials, and identifies top competitors and CMS. It prescribes a tool selection framework including Surfer SEO, Frase AI, AirOps, SE Ranking, Rankability, DataForSEO, and Clay + Webflow, then outlines an Agent workflow pattern:
- DataForSEO MCP: find top 50 keywords for a competitor with volume > 500
- GSC MCP: show current rankings for those keywords
- Identify gaps where competitor ranks top 10 but you do not
- Generate content briefs using Frase or Surfer
- Produce content via AirOps workflows
- Monitor AI Overview citations via SE Ranking
The skill documents a framework for the [Competitor] Alternative SEO Play, detailing target keyword patterns, page templates, and an acquisition playbook. It then describes Programmatic SEO scaling pages with AI, including page patterns, architecture, quality requirements (500-1,000+ words, unique data points, rich elements, internal linking, schema), and an AirOps workflow example for publishing and monitoring. It covers AI Overviews and GEO optimization, listing an optimization checklist and tracking capabilities in SE Ranking (AI Overviews Tracker, AI Mode Tracker, LLM Visibility Research).
A Keyword Strategy Framework is provided with a three-layer architecture (BOFU, MOFU, TOFU) and a MCP-powered keyword research workflow with DataForSEO MCP, Semrush MCP, and SE Ranking steps to prioritize content.
Finally, the Content Production Pipeline describes a four-level content quality spectrum, a pipeline flow (Keyword Research → Content Brief → AI Draft → Human Edit → Publish + Track), and the Content Brief Template with fields for target keyword, related terms, intent, SERP leader, content score target, required H2s, entities, and data points.
When to use it
This skill is intended for use when the user aims to build programmatic SEO with AI, create competitor alternative pages, optimize AI Overviews, or scale content production. It should be invoked in contexts involving AI-powered SEO strategy from keyword research through programmatic page generation. It should not be used for technical implementation, code review, or software architecture.
What it can touch
Key tools referenced for execution include claude-code, copilot, and cursor, used to perform MCP setups, data gathering, and content generation workflows as described in the agent workflow pattern and AirOps publishing steps. The skill prescribes using env vars or secret managers for credentials when integrating DataForSEO MCP and related MCPs, and includes shell commands demonstrating MCP setup and publishing steps.
Caveats
The material emphasizes non-technical SEO strategy rather than implementation details. It specifies that pages must have substantial, unique content and structured data; boilerplate duplication is discouraged. It also notes monitoring of AI Overviews and citations, and includes timelines for indexing and traffic growth. License is NOASSERTION per the skill’s metadata.
# AI SEO Skill You are an AI-powered SEO strategist specializing in programmatic content generation, competitor alternative keyword strategies, AI Overviews optimization, and Generative Engine Optimization (GEO). You help founders and growth teams build scalable organic traffic systems using AI tools, structured data, and templated page architectures. ## Before Starting 1. Confirm the user's current SEO stack (CMS, analytics, keyword tools, content tools) 2. Identify their primary goal: programmatic pages at scale, competitor alternative play, AI Overviews visibility, or full-stack AI SEO 3. Ask about their domain authority range (DR/DA) - this changes which strategies are viable 4. Understand their content production capacity (solo founder vs. team vs. agency) 5. Check if they have Google Search Console access and DataForSEO/Semrush API credentials 6. Identify their top 3-5 competitors for alternative page targeting 7. Determine their CMS (Webflow, WordPress, Shopify, Next.js, custom) - this dictates the programmatic approach --- ## 1. AI SEO Stack - Tool Selection Framework ### Core Tool Comparison | Tool | Primary Function | Best For | Pricing (2025) | AI Overviews | |------|---
- Before Starting
- 1. AI SEO Stack - Tool Selection Framework
- Core Tool Comparison
- Decision Matrix
- MCP Server Integration Stack
- 2. The "[Competitor] Alternative" SEO Play
- Why This Converts 3-5x Higher Than TOFU
- Target Keyword Patterns (Priority Order)
- Page Template Structure
- The Acquisition Playbook
- 3. Programmatic SEO - Scaling Pages with AI
- Proven Page Patterns
- Architecture
- Quality Requirements (Non-Negotiable)
Use env var or secret manager for credentials; never paste real keys into prompts or code. claude mcp add dataforseo --transport sse \ git clone https://github.com/AminForou/mcp-gsc cd mcp-gsc && pip install -r requirements.txt claude mcp add gsc -- python /path/to/mcp-gsc/server.py
What does the ai-seo skill do?
When the user wants to build programmatic SEO with AI, create competitor alternative pages, optimize for AI Overviews, or scale content production. Also use when the user mentions 'SEO,' 'programmatic SEO,' 'AI content,' 'competitor alternative pages,' 'AI Overviews,' 'search optimization,' 'DataForSEO,' 'content at scale,' 'keyword strategy,' or 'organic traffic.' This skill covers AI-powered SEO strategy from keyword research through programmatic page generation. Do NOT use for technical implementation, code review, or software architecture.
How do I install it?
Run `npx skills add tech-leads-club/agent-skills --skill ai-seo --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From tech-leads-club/agent-skills, a repository with 4,983 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.