google-ads-competitive-analysis-toolkit

google-ads-competitive-analysis-toolkit is a skill for Claude Code from Ad-Superpowers/ad-superpowers-plugin. It costs 100 tokens per session (1,664 once invoked), scanned A, original, MIT.

A guide for examining how other advertisers compete in Google Ads using Auction Insights and impression-share data. Auction Insights shows overlap and ranking relationships between your ads and competing advertisers.

In plain words
What is it for?
Use it to review competitor overlap, measure search visibility, identify lost impression share, and plan responses to changes in competitor bidding.
Why use it?
It turns competition data into possible explanations for lost visibility, such as limited budget or lower ad rank. It helps separate competitive pressure from other campaign problems.

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 review competitor overlap, measure search visibility, identify lost impression share, and plan responses to changes in competitor bidding.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ad-superpowers/ad-superpowers-plugin/google-ads-competitive-analysis-toolkit
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 google-ads-competitive-analysis-toolkit
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 google-ads-competitive-analysis-toolkit

README.md
[![agentmods](https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-competitive-analysis-toolkit/github.svg)](https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-competitive-analysis-toolkit)
Your own site
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-competitive-analysis-toolkit"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-competitive-analysis-toolkit/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 google-ads-competitive-analysis-toolkit

Your own site · 80×15
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-competitive-analysis-toolkit"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-competitive-analysis-toolkit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,664 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 $0.00100 $0.01664
Opus 5.5 $0.00040 $0.00666
Sonnet 5.5 $0.00020 $0.00333
Haiku 4.5 $0.00010 $0.00166

Measured 1mo ago against content hash 0b45d3fc27a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

google-ads-competitive-analysis-toolkit 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/google-ads-competitive-analysis-toolkit/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitive Analysis Toolkit

Complete guide for analyzing competition in Google Ads, from Auction Insights interpretation to strategic response to competitor activities.

Pull Competitive Data via MCP

Impression Share Metrics (Campaign Level)

google_ads_run_gaql(query="
  SELECT campaign.name,
         metrics.search_impression_share,
         metrics.search_budget_lost_impression_share,
         metrics.search_rank_lost_impression_share,
         metrics.search_absolute_top_impression_share,
         metrics.search_top_impression_share,
         metrics.average_cpc, metrics.cost_micros
  FROM campaign
  WHERE segments.date DURING LAST_30_DAYS
    AND campaign.status = 'ENABLED'
    AND campaign.advertising_channel_type = 'SEARCH'
  ORDER BY metrics.cost_micros DESC
  LIMIT 20
")

Interpret:

  • search_rank_lost_impression_share rising → competitors increasing bids/QS
  • search_budget_lost_impression_share rising → you are budget-capped
  • search_absolute_top_impression_share dropping → someone pushed you down

Auction Insights (Competitor Domain Data)

The auction_insight resource provides per-competitor overlap, position above, and outranking metrics via GAQL:

google_ads_run_gaql(query="
  SELECT auction_insight.display_domain,
         metrics.auction_insight_search_impression_share,
         metrics.auction_insight_search_overlap_rate,
         metrics.auction_insight_search_position_above_rate,
         metrics.auction_insight_search_outranking_share,
         metrics.auction_insight_search_top_impression_percentage,
         metrics.auction_insight_search_absolute_top_impression_percentage
  FROM auction_insight
  WHERE segments.date DURING LAST_30_DAYS
  ORDER BY metrics.auction_insight_search_impression_share DESC
  LIMIT 20
")

This returns the same data as the UI's Auction Insights report, including competitor domain names. Filter by campaign or ad group for segment-specific analysis.

Auction Insights Metrics

Metric What It Measures
Impression Share % of impressions you received vs total available
Overlap Rate % of your impressions where competitor also appeared
Position Above Rate % of overlapping impressions where competitor was above you
Top of Page Rate % of impressions in top positions (above organic)
Abs. Top of Page Rate % of impressions at first position
Outranking Share % of auctions where you ranked above competitor or appeared when they didn't

Read the full file on GitHub · 169 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 169 lines · 100 tokens per session scan A 0b45d3fc27a4

Subscribe to this mod's changes

google-ads-competitive-analysis-toolkit is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 100 tokens to every session and 1,664 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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