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.
git clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote 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.
[](https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/seo-sea-gap-analysis)<a href="https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/seo-sea-gap-analysis"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/seo-sea-gap-analysis/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.
<a href="https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/seo-sea-gap-analysis"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/seo-sea-gap-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00053 | $0.01077 |
| Opus 5 | $0.00026 | $0.00539 |
| Sonnet 5 | $0.00011 | $0.00215 |
| Haiku 4.5 | $0.00005 | $0.00108 |
Grade A, and why
seo-sea-gap-analysis 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platforms: google_search_console, google_ads Tier: pro
This command requires the Ad Superpowers MCP connector to access your ad account data. Connect at https://app.adsuperpowers.ai if you haven't already.
SEO vs SEA Keyword Gap Analysis
Compare organic search performance (Google Search Console) with paid search keywords (Google Ads) to identify gaps, overlap, and optimization opportunities.
Parameters
- Site URL: [specify site_url]
- Google Ads Account: [specify google_ads_account]
- Period: 28 days
- Country: all
- Minimum impressions: 50
OUTPUT FORMAT (CRITICAL - follow this EXACT structure)
Executive Summary
| Metric | Value |
|---|---|
| Organic keywords | [X] |
| Paid keywords | [Y] |
| Overlap | [Z] ([%]) |
| Est. monthly savings (cannibalization) | [X] |
| Content opportunities worth | [X]/month in ad spend |
Quadrant Breakdown
| Quadrant | Keywords | Monthly Spend | Action |
|---|---|---|---|
| Q1: Cannibalization | [N] | [X] | Test pausing ads |
| Q2: Paid-Only | [N] | [X] | Create content |
| Q3: Organic Winners | [N] | 0 | Monitor |
| Q4: Blind Spots | [N] | 0 | Evaluate |
Top Cannibalized Keywords (Q1)
| Keyword | Org Pos | Org CTR | Paid Cost/mo | Action |
|---|
Top Content Opportunities (Q2)
| Keyword | CPC | Paid Cost/mo | Conversions | Priority |
|---|
Recommendations
- [Highest-impact action]
- [Second action]
- [Third action]
EXECUTION STEPS
Step 1: Discover Accounts
Use gsc_list_sites to confirm access to the GSC property.
Use google_ads_list_accounts to confirm access to the Google Ads account.
Step 2: Gather Organic Data (GSC)
Use gsc_search_analytics:
- site_url: "[specify site_url]"
- dimensions: ["query"]
- days: 28
- row_limit: 1000
Conditional: if country
- country_filter: "[specify country]"
Record: query, clicks, impressions, ctr, position.
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.
- 9d ago First seen · 114 lines · 53 tokens per session scan A 0209eb60f43f
seo-sea-gap-analysis is a command published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 11d ago), licensed MIT. It adds 53 tokens to every session and 1,077 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
Other commands, from other repositories
meta-audit
Full Meta Ads account audit, tailored to ecommerce or lead-gen automatically.
audit
Google Ads command — audit.
logout
Google Ads command — logout.
status
Google Ads command — status.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.