SEOmatic Keyword Research turns a site's real search performance into focused keyword clusters mapped to the pages best suited to rank.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install seomatic-keyword-research
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install seomatic-keyword-research using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is SEOmatic Keyword Research?
This Openclaw Skills entry connects to SEOmatic and grounds keyword research in the site's Google Search Console data rather than generic seed lists. It combines existing queries, keyword suggestions, volume, difficulty, CPC, intent, trends, and SERP features to identify realistic opportunities.
The result is a prioritized plan that maps each intent-based cluster to an existing or proposed page. Research does not publish changes: eligible work can be staged as tasks for the user to review and approve in SEOmatic.
SEOmatic Keyword Research Use Cases
- Find opportunities among queries already earning impressions, especially terms ranking around positions 8–20.
- Research and compare keyword ideas using volume, difficulty, CPC, intent, and Google Trends data.
- Decide what to write about by grouping related searches into intent-based content clusters.
- Identify which existing page should target a cluster, or where a new page may be justified.
- Check SERP features and competitors before investing in a keyword with misleading volume or weak commercial value.
- Turn prioritized recommendations into approval-gated SEOmatic tasks when the account plan allows staging.
How SEOmatic Keyword Research Works
- Check the site's target terms and existing keyword clusters, then review its top Google Search Console queries for the last 90 days.
- If Search Console is unavailable, explain that the research will be less grounded and ask for 3–5 seed terms plus the business's main offer.
- Expand the strongest seed terms with keyword suggestions, then retrieve metrics for the shortlist, including volume, difficulty, CPC, and intent.
- Use trend, trend comparison, and related-query data to assess direction, and inspect SERP features for promising candidates.
- Group terms by search intent, inventory site pages, and map each cluster to one appropriate existing or proposed page. Flag duplicate or fragmented mappings.
- Prioritize striking-distance queries, high-intent clusters that existing pages under-cover, and credible opportunities for new pages.
- If requested and available on the plan, check for duplicate tasks and stage up to five recommendations. The user must approve each task before it proceeds.
SEOmatic Keyword Research Setup
Connect the SEOmatic MCP server to the AI agent. The skill requires the seomatic MCP server and has no listed binary or environment-variable requirements.
- MCP endpoint:
https://app.seomatic.ai/api/mcp - Transport: streamable HTTP
- Authentication: OAuth, or a Bearer API key beginning with
smk_from the SEOmatic AI Agents settings page. - Connect Google Search Console in SEOmatic for research grounded in the site's actual query data. Without it, provide 3–5 seed terms and the business's main offer; results will be less site-specific.
- Search Console and Google Trends reads are free. Volume, difficulty, and SERP lookups use the free monthly allowance or AI credits.
- Staging tasks requires a paid SEOmatic plan and an API key with the
agents:actscope. If staging is locked, provide the recommendation for the user to apply manually.
No CLI installation command is specified by this skill.
SEOmatic Keyword Research Data Schema & Taxonomy
The skill works with SEOmatic's connected site data and tool results; it does not specify local files or a local storage format.
| Research record | Fields or source |
|---|---|
| Business target terms | Search term and the page intended to show for it (get_target_terms) |
| Existing search performance | Top queries and performance data from the last 90 days (gsc_performance) |
| Keyword candidate | Seed or suggested term, volume, difficulty, CPC, and intent (keyword_research) |
| Trend and SERP context | Trend direction, related queries, SERP features, and competitor context |
| Cluster-to-page plan | Cluster, main keyword, volume, difficulty, intent, and existing or proposed page |
| Staged task | Task type, targetKey, title, rationale, and estimated cost label |
The core taxonomy is search intent: one page should generally serve one intent-based cluster, rather than creating a separate page for every keyword. The skill flags clusters mapped to the same page or a single cluster spread across multiple pages.
SEOmatic Keyword Research Advanced Features
- Uses existing Search Console queries and impressions as evidence, prioritizing realistic opportunities over generic keyword volume.
- Combines keyword metrics with Google Trends direction and SERP features to qualify candidates before recommending them.
- Provides site-page inventory and existing-cluster lookup for more precise page mapping.
- Supports approval-gated task staging through
task_manage, includingstriking_distance,content_refresh, andcontent_createtask types. - Checks for duplicate tasks before creating up to five recommendations, and includes a rationale and estimated cost label for each staged task.
- Never approves work on the user's behalf; after explicit approval, retrieves task results before reporting that anything changed.
SKILL.md
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