Best OpenClaw Skills for AI SEO Keyword Research and Content Planning
OpenClaw SEO skills automate keyword discovery, search volume analysis, and content brief generation using your local AI agent connected to search data APIs. This guide ranks the 7 best ClawHub skills for the keyword research and content planning pipeline, from initial keyword discovery through SERP analysis, brief generation, and rank tracking.
What These Skills Replace
A full SEO keyword research stack built on OpenClaw skills costs $21 to $42 per month in hosting and LLM fees. Ahrefs charges $99 to $449 per month, and SEMrush charges $129 to $499, for comparable keyword data access. That cost gap is what makes OpenClaw interesting for content teams running keyword research on a budget.
OpenClaw itself is free and open source. It runs on your local machine or a cheap VPS, connects to an LLM like Claude or GPT-4, and executes tasks through messaging platforms or a terminal. ClawHub, the public skill registry, hosts 3,286 curated skills after a February 2026 security cleanup that removed 2,419 suspicious entries and added VirusTotal-based malware scanning. A growing subset of those skills targets SEO: keyword discovery, SERP analysis, content brief generation, rank tracking, and AI search monitoring.
The tradeoff is real. OpenClaw does not have its own crawl index or keyword database. It pulls data from public search APIs and scrapes, which means volume estimates are directional rather than exact. For teams that need precise monthly search volume numbers, a traditional tool is still the better choice. For teams that need keyword clustering, content briefs, and competitive analysis at a fraction of the cost, these skills close most of the gap.
This guide covers the 7 best ClawHub skills for keyword research and content planning specifically. Writing and publishing skills are covered in a separate guide on long-form writing skills.
How We Evaluated These Skills
We tested each skill against four criteria:
Relevance to keyword research and content planning. The skill must directly support keyword discovery, SERP analysis, content brief generation, or performance tracking. Writing and publishing skills are out of scope for this list.
Data source quality. Skills that connect to established search APIs (Brave Search, Tavily, Google autocomplete) ranked higher than those relying on LLM training data alone.
Output format. Skills that produce structured output, whether spreadsheets, JSON, or markdown briefs, scored better than those returning unstructured chat responses. Structured output feeds into the next pipeline stage without manual reformatting.
Community adoption. Download counts and presence in curated directories like the awesome-openclaw-skills repository indicate real-world testing by other SEO practitioners.
We verified each skill's availability on ClawHub as of May 2026. Since BrightEdge research shows 68% of online experiences begin with a search engine, the stakes for getting keyword research right are high. These are the tools that help you do it without a $500-per-month subscription.
7 Best OpenClaw Skills for Keyword Research and Content Planning
The skills below are ordered from the research pipeline's starting point (raw keyword discovery) through analysis, brief generation, and ongoing monitoring. Each skill installs from ClawHub and works alongside the others in a single agent session.
1. keyword-research
The foundational skill for any SEO workflow on OpenClaw. keyword-research scrapes Google autocomplete suggestions, People Also Ask boxes, and related searches, then clusters the results by semantic similarity and estimates volume ranges.
Key Strengths:
- Identifies long-tail keyword opportunities with lower competition scores
- Groups related keywords into topical clusters for content calendar planning
- Outputs a prioritized spreadsheet you can sort by estimated volume or difficulty
Limitations:
- Volume estimates are directional, not exact counts like Ahrefs provides from its proprietary crawler
- Accuracy depends on the search API your agent can access
Data Source: Google autocomplete, People Also Ask, related searches
Output Format: Prioritized keyword spreadsheet with semantic clusters
Pricing Tier: Free (open source). API costs vary by search provider.
Best For: Teams starting keyword research from scratch who need a ranked list of opportunities before writing anything.
2. content-brief-generator
Takes your target keyword and reverse-engineers what a top-ranking article needs to cover. content-brief-generator analyzes the top 10 SERP results for a given keyword, extracts their heading structures, identifies content gaps between competitors, and produces a structured outline with word count targets for each section.
Key Strengths:
- Analyzes real competitor content rather than guessing what to cover
- Produces structured outlines with heading hierarchy and section-level word count targets
- Cross-references People Also Ask data to surface subtopics competitors miss
Limitations:
- Brief quality drops for newer or niche keywords where the SERP lacks established competitors
- Output is an outline, not a finished draft, so you still need a writing step afterward
Data Source: Top 10 Google SERP results for target keyword
Output Format: Structured content brief with headings, subtopics, and word count targets
Pricing Tier: Free (open source). Requires search API access for SERP data.
Best For: Content teams who want data-backed outlines before assigning articles to writers.
3. brave-search
The general-purpose search skill that powers most other SEO workflows on OpenClaw. brave-search connects your agent to the Brave Search API for real-time web queries, giving it access to current SERP data, competitor pages, and industry news without leaving your terminal.
Most keyword research skills need a search layer underneath them. brave-search provides that layer. When keyword-research or content-brief-generator need live search results, brave-search is typically the skill handling the actual web queries.
Key Strengths:
- Provides real-time search results, not cached or training-data-based answers
- Works as the foundation layer underneath keyword-research and content-brief-generator
- Supports both broad discovery queries and targeted SERP analysis
Limitations:
- Brave Search maintains its own index, so results may differ slightly from Google's ranking order
- Heavy research sessions can consume API credits quickly on the free tier
Data Source: Brave Search API (independent web index)
Output Format: Structured search results with titles, URLs, and snippets
Pricing Tier: Free tier available with usage limits. Paid tiers for higher query volumes.
Best For: Any OpenClaw SEO workflow that needs live web data. Install this one first.
4. programmatic-seo
A full-pipeline skill for teams producing high volumes of keyword-targeted content. programmatic-seo handles the entire journey from competitor analysis to draft content with schema markup. It identifies TF-IDF gaps between your existing content and top-ranking competitors, generates optimized pages targeting those gaps, and includes structured data markup for rich search results.
Key Strengths:
- Covers the complete research-to-draft pipeline in one skill
- Uses TF-IDF analysis to find specific content gaps, not just missing topics
- Generates Schema.org markup (FAQ, HowTo, Article) alongside content
Limitations:
- The all-in-one approach means less control over individual pipeline stages
- Works best for template-driven content (product pages, location pages) rather than editorial pieces
Data Source: Competitor page content, SERP data, TF-IDF corpus analysis
Output Format: Optimized draft content with Schema.org markup, ready for CMS publishing
Pricing Tier: Free (open source). LLM API costs for content generation.
Best For: Teams producing high volumes of templated SEO content across many keywords simultaneously.
5. seo-geo-claude-skills
A comprehensive suite of 20-plus tools covering both traditional SEO and generative engine optimization (GEO). Where most skills focus on Google rankings alone, seo-geo-claude-skills adds optimization for AI search results from Perplexity, Google AI Overviews, and ChatGPT. The pack includes keyword research, content optimization, schema markup generation, and AI-citation optimization tools under an MIT license.
Key Strengths:
- Covers both traditional SEO and AI search optimization in one installable package
- Includes CORE-EEAT and CITE frameworks for structured content quality scoring
- Works across Claude Code, Cursor, Codex, and 35-plus compatible AI agents
Limitations:
- 20-plus tools means a steeper learning curve than single-purpose skills
- GEO optimization is still an emerging discipline, so best practices shift as AI search evolves
Data Source: Multiple search APIs, content analysis engines
Output Format: Varies by tool: keyword lists, content quality scores, schema markup, audit reports
Pricing Tier: Free (open source, MIT license). Individual tools may require API keys for data sources.
Best For: Teams wanting one skill pack to cover keyword research, content scoring, and AI search visibility together.
6. ai-overview-tracker
Monitors whether your content appears in AI-generated search results. Traditional rank tracking only covers the ten blue links on Google. ai-overview-tracker checks whether AI search engines cite your content when answering user queries across Google AI Overviews, ChatGPT, and Perplexity.
This matters for content planning because knowing where you appear (and where you do not) in AI search results tells you which keyword topics need new content or revised optimization.
Key Strengths:
- Tracks brand and content presence in AI search results specifically
- Monitors three major AI platforms: Google AI Overviews, ChatGPT, Perplexity
- Alerts when AI search engines start or stop citing your pages
Limitations:
- AI search citation patterns change frequently, so historical trends are less stable than traditional ranking data
- Newer skill with a smaller user community than established alternatives
Data Source: Google AI Overviews, ChatGPT search, Perplexity search results
Output Format: Citation presence reports with platform-by-platform breakdown
Pricing Tier: Free (open source). May require API access to each AI platform for monitoring.
Best For: Content teams measuring visibility beyond traditional Google rankings.
7. rank-tracker
Daily keyword position monitoring across Google, Bing, and AI search platforms. rank-tracker checks your rankings on a schedule and sends alerts through Telegram, Slack, or Discord when positions change beyond a threshold you set. It replaces the rank tracking module in tools like Ahrefs or SEMrush at a fraction of the subscription cost.
Rank data feeds back into your keyword research cycle. When positions drop, you know which topics need updated content. When positions climb, you know which keyword clusters to expand.
Key Strengths:
- Automated daily checks with configurable alert thresholds
- Covers both traditional search engines and AI platforms in one skill
- Delivers alerts through messaging platforms your team already uses
Limitations:
- Position checks rely on search API access, which may have rate limits on free tiers
- Lacks the historical depth of established rank tracking tools with years of archived data
Data Source: Google, Bing, and AI search platform position checks
Output Format: Ranking reports with position change alerts via Telegram, Slack, or Discord
Pricing Tier: Free (open source). Search API costs for daily checks.
Best For: Teams that need ongoing rank monitoring without a separate $99-plus subscription.
Store your keyword research where your whole team can find it
Free 50 GB workspace with semantic search across your keyword spreadsheets, content briefs, and audit reports. No credit card, MCP-ready for your OpenClaw agent.
Chaining Skills into a Research-to-Brief Pipeline
Individual skills work on their own, but the real productivity gain comes from running them as a chain in a single agent session. Here is a practical four-phase pipeline.
Phase 1: Discovery. Start with brave-search and keyword-research. Your agent pulls live SERP data and generates a ranked keyword list clustered by topic. This phase replaces the "explore" step in Ahrefs or SEMrush where you browse keyword ideas and filter by difficulty.
Phase 2: Brief Generation. Feed your top keyword candidates into content-brief-generator. The skill analyzes what top-ranking pages cover and produces structured outlines you can hand to writers. For template-driven content at scale, use programmatic-seo instead to go straight from analysis to draft.
Phase 3: Optimization Scoring. Run your draft or existing content through seo-geo-claude-skills to score it against EEAT criteria and optimize structure for AI search citations. This catches quality and coverage gaps that keyword targeting alone misses.
Phase 4: Monitoring. Set up rank-tracker and ai-overview-tracker on your published pages. Daily position checks and AI citation monitoring tell you whether your content strategy is working, and which keyword clusters deserve your next round of research.
All seven skills read from the same workspace context, so output from one phase flows into the next without manual file transfers. Your keyword spreadsheet feeds the brief generator, which feeds the content optimizer, which feeds the monitoring loop.
Storing and Sharing Keyword Research Across Your Team
A keyword research pipeline produces spreadsheets, content briefs, audit reports, and tracking data. You need somewhere to store all of it that your agent can access across sessions and that your team can review without digging through terminal output.
Local files work for solo researchers, but they break down when editors, writers, and strategists need access to the same briefs and keyword lists. Cloud services like Google Drive or Dropbox solve the sharing problem but do not index your documents for semantic search across your entire research library.
Fast.io fills this gap with intelligent workspaces designed for agent workflows. Your OpenClaw agent reads and writes files through the Fast.io MCP server, and Intelligence Mode auto-indexes everything you upload for semantic search. Ask your workspace "which keywords did we research for content planning last month?" and get answers with citations from your own research files.
The free tier includes 50 GB of storage, 5,000 AI credits per month, and 5 workspaces with no credit card required. That is enough to store thousands of keyword spreadsheets and content briefs. When a brief is ready for a writer, create a branded share link and send it directly. When a project wraps up, transfer workspace ownership to your client while keeping admin access yourself. The storage-for-openclaw guide covers the full agent setup.
Frequently Asked Questions
Can OpenClaw do keyword research?
Yes. The keyword-research skill on ClawHub scrapes Google autocomplete, People Also Ask, and related searches, then clusters results by semantic similarity with estimated volume ranges. Pair it with brave-search for real-time SERP data and content-brief-generator for structured outlines. The total monthly cost runs $21 to $42 in hosting and LLM fees, compared to $99 to $499 for traditional keyword research tools.
What AI agents help plan content calendars?
OpenClaw handles content planning through skills like content-brief-generator (structured outlines from SERP analysis) and programmatic-seo (full research-to-content pipelines). For calendar management, keep a shared planning file in your agent's workspace and instruct it to add keyword targets, assign priorities, and track publication dates. Storing that file in a cloud workspace like Fast.io lets your whole team access the calendar through a browser rather than terminal output.
How do I automate SEO research with OpenClaw?
Install brave-search and keyword-research from ClawHub to give your agent live search data and keyword clustering. Add content-brief-generator to automatically analyze top-ranking pages and produce structured outlines. For ongoing monitoring, add rank-tracker and ai-overview-tracker to watch your positions across Google, Bing, and AI search platforms. All five skills work together in a single agent session, with output from each phase feeding the next.
Is OpenClaw SEO research better than Ahrefs or SEMrush?
They serve different needs. Ahrefs and SEMrush have proprietary crawl indexes with precise search volume data and years of historical rankings. OpenClaw pulls from public search APIs, so volume estimates are directional rather than exact. The advantage is cost ($21 to $42 per month versus $99 to $499) and flexibility. You can customize skills and chain them into automated pipelines that run without manual intervention. Many teams use OpenClaw for discovery and brief generation alongside a traditional tool for precise volume validation.
Are OpenClaw SEO skills free to use?
The seven skills in this guide are all free and open source on ClawHub. Your costs come from the infrastructure that runs them. A VPS costs $6 to $12 per month, and LLM API usage for typical SEO workloads runs $15 to $30 per month. Some skills need search API keys (Brave Search, Tavily) that have their own free tiers with usage limits. The total monthly cost for a working keyword research stack is $21 to $42.
Related Resources
Store your keyword research where your whole team can find it
Free 50 GB workspace with semantic search across your keyword spreadsheets, content briefs, and audit reports. No credit card, MCP-ready for your OpenClaw agent.