seo-sea-keyword-gap-analyzer

seo-sea-keyword-gap-analyzer is a skill for Claude Code from Ad-Superpowers/ad-superpowers-plugin. It costs 105 tokens per session (2,258 once invoked), scanned A, original, MIT.

An analysis guide that compares organic search keywords from Google Search Console with paid keywords from Google Ads. It identifies overlap, gaps, and cases where paid and unpaid search results compete for the same searches.

In plain words
What is it for?
Use it to compare organic and paid keywords, find search cannibalization, identify content opportunities, and guide search-budget allocation.
Why use it?
It helps find wasted ad spend on searches where a site already ranks well and reveals paid keywords that lack useful organic content.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ad-superpowers plugin — 120 skills, 35 commands, 5 agents, 1 MCP server shipped together

Good fit Use it to compare organic and paid keywords, find search cannibalization, identify content opportunities, and guide search-budget allocation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ad-superpowers/ad-superpowers-plugin/seo-sea-keyword-gap-analyzer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Ad-Superpowers/ad-superpowers-plugin --skill seo-sea-keyword-gap-analyzer
Clone the repo
git clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-plugin

Made for: Claude Code.

Or install ad-superpowers, the plugin that ships this one along with the rest of its 120 skills, 35 commands, 5 agents, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for seo-sea-keyword-gap-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/seo-sea-keyword-gap-analyzer/github.svg)](https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/seo-sea-keyword-gap-analyzer)
Your own site
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/seo-sea-keyword-gap-analyzer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/seo-sea-keyword-gap-analyzer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for seo-sea-keyword-gap-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/seo-sea-keyword-gap-analyzer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/seo-sea-keyword-gap-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,258 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.02258
Opus 5.5 $0.00042 $0.00903
Sonnet 5.5 $0.00021 $0.00452
Haiku 4.5 $0.00011 $0.00226

Measured 1mo ago against content hash 7655b699554e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

seo-sea-keyword-gap-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/seo-sea-keyword-gap-analyzer/SKILL.md · 235 lines

How it starts

The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SEO vs SEA Keyword Gap Analyzer

Purpose

Help agencies and advertisers identify where organic and paid search overlap, where gaps exist, and how to optimize budget allocation between SEO and SEA. This analysis typically saves 10-30% of wasted ad spend by identifying keywords where organic rankings make paid ads unnecessary.

When to Use This Skill

Invoke when user mentions:

  • Gap analysis: "Compare my organic and paid keywords"
  • Cannibalization: "Am I paying for clicks I'd get for free?"
  • Budget optimization: "Where can I save on Google Ads?"
  • Content opportunities: "What keywords convert via ads but have no content?"
  • SEO vs SEA: "Should I bid on keywords where I rank #1?"
  • Organic/paid overlap: "Which keywords appear in both GSC and Google Ads?"

Required Tools

Tool Purpose
gsc_search_analytics Organic keyword data (queries, clicks, impressions, CTR, position)
google_ads_run_gaql Paid keyword data via GAQL query (clicks, impressions, cost, conversions)

Part 1: Data Collection Framework

Step 1: Organic Data (GSC)

gsc_search_analytics(
    site_url="<property>",
    dimensions=["query"],
    days=28,
    row_limit=5000
)

Key fields: query, clicks, impressions, ctr, position

Step 2: Paid Data (Google Ads)

google_ads_run_gaql(
    customer_id="<account>",
    query="SELECT campaign.name, ad_group.name,
        ad_group_criterion.keyword.text,
        ad_group_criterion.keyword.match_type,
        metrics.impressions, metrics.clicks, metrics.ctr,
        metrics.average_cpc, metrics.cost_micros,
        metrics.conversions
    FROM keyword_view
    WHERE segments.date DURING LAST_30_DAYS
    ORDER BY metrics.impressions DESC LIMIT 500"
)

Key fields: keyword.text, clicks, impressions, cost_micros (÷ 1,000,000), conversions


Part 2: Four-Quadrant Gap Classification

The SEO-SEA Matrix

                        ORGANIC STRONG              ORGANIC WEAK
                     (Position ≤ 5)              (Position > 10 or absent)
                 ┌─────────────────────────┬──────────────────────────┐
  PAID ACTIVE    │  Q1: CANNIBALIZATION     │  Q2: PAID-ONLY           │
  (Running ads)  │  → Test pausing ads      │  → Content opportunity   │
                 │  → Potential savings      │  → Build organic content │
                 │  Priority: HIGH           │  Priority: MEDIUM        │
                 ├─────────────────────────┼──────────────────────────┤
  PAID INACTIVE  │  Q3: ORGANIC WINNERS     │  Q4: BLIND SPOTS         │
  (No ads)       │  → No action needed      │  → Assess search volume  │
                 │  → Monitor rankings      │  → Decide: SEO or SEA?   │
                 │  Priority: LOW            │  Priority: VARIES        │
                 └─────────────────────────┴──────────────────────────┘

Read the full file on GitHub · 235 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 235 lines · 105 tokens per session scan A 7655b699554e

Subscribe to this mod's changes

seo-sea-keyword-gap-analyzer is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 105 tokens to every session and 2,258 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-11.

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