Keyword Opportunity Finder
Find high-impression, low-CTR terms, striking-distance keywords, and topic gaps from GSC data. Use when Codex needs to surface keyword growth opportunities from search performance data.
Install
$ agentstack add skill-marketingskills-seo-keyword-opportunity-finder ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Keyword Opportunity Finder
Overview
Analyze GSC query data to find keywords where the site can gain traffic with relatively low effort: impressions are high but CTR is low (fixable with title/meta improvements), or rank position is just outside the top 3-5 (striking distance).
Inputs
- GSC query export (clicks, impressions, CTR, avg position) or live data
- Optional: competitor URL for gap analysis
Workflow
- Load query data from live GSC or pasted export.
- Segment queries into opportunity categories:
- High impression, low CTR (< median CTR for the site)
- Positions 4-10 (striking distance to top 3)
- Position 11-20 (easy top-10 opportunity with content improvement)
- Rapidly gaining impressions but flat clicks (CTR opportunity)
- Filter out queries already in top 3 or with very low search volume.
- For each opportunity, estimate the traffic gain from improving to median CTR or top-3 position.
- Rank by expected traffic gain and difficulty.
- Cross-reference with SERP features (featured snippets, PAAs, video).
Output
Ranked list of keyword opportunities with current position, estimated uplift, and recommended action.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: marketingskills
- Source: marketingskills/seo
- License: MIT
- Homepage: https://marketingskills.net
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.