Slash Command

/google-search-audit

Daily Google Ads Search morning briefing — compares last 3 days vs prior 3 days, segments brand vs non-brand (with different expectations for each), and surfaces specific recommendations across budget, impression share, bid adjustments, search-term waste, and query opportunities. Read-only — produces a CUT / FIX / SCALE recommendations list, never executes mutations. Use as your morning Google Search standup.

Popularity

Shared by

Invocation

How this command is triggered — by the user, by Claude, or both

Slash command

/ai-media-buyer:google-search-audit [Google Ads Customer ID]

Model invocable

No pre-commands

Context Preview

The summary Claude sees in its command listing — used to decide when to auto-load this command

# Google Ads Search Audit — Morning Briefing (Read-Only)

For Google Ads account `$ARGUMENTS`, run a daily Search-campaigns operator pass. Compare **last 3 days vs prior 3 days**. **Read-only — output is recommendations only, no mutations applied.**

## Step 1 — Brand vs Non-Brand classification (do first)

For every Search campaign, classify as **Brand** or **Non-Brand** before analyzing. Use campaign name, keyword content, and whether top queries contain the brand name.

| Type | Healthy state | Focus |
|---|---|---|
| **Brand** | IS > 85%, low CPA, query intent clean | Efficiency, waste ...

Command Content

63 lines · ~739 tokens

Stats

LanguageJavaScript

Stars0

MaintenanceGood

Last CommitJun 1, 2026

Actions

View Source View Plugin View on GitHub View README

Stats

Actions

Google Ads Search Audit — Morning Briefing (Read-Only)

For Google Ads account $ARGUMENTS, run a daily Search-campaigns operator pass. Compare last 3 days vs prior 3 days. Read-only — output is recommendations only, no mutations applied.

Step 1 — Brand vs Non-Brand classification (do first)

For every Search campaign, classify as Brand or Non-Brand before analyzing. Use campaign name, keyword content, and whether top queries contain the brand name.

Type	Healthy state	Focus
Brand	IS > 85%, low CPA, query intent clean	Efficiency, waste reduction. Scaling is demand-limited, not budget-limited.
Non-Brand	Growth runway in IS, CPA at-or-below target	IS growth, budget scaling, volume expansion.

Surface recommendations against the correct expectation per type.

Step 2 — Metrics to pull

Per campaign, both 3d windows: CPA vs target, Conversion volume, Search Impression Share, Lost IS (Rank), Lost IS (Budget), Top-of-page rate, Absolute-top %, ROAS, Conversion Value (AOV trend).

Step 3 — Analysis tasks

Budget + efficiency

Campaign with rising CPA + stable/improving IS → likely demand issue, recommendation: reassess targeting or pause
Campaign with low IS + strong CPA → suggest budget increase with exact %
Campaign where CPA improved but ROAS declined → flag AOV / mix-shift issue

Impression share

Lost IS (Budget) > 20% → suggest budget increase, state %
Lost IS (Rank) > 20% → suggest bid adjustment or relevance work

Search-term waste

Identify queries spending > 2× target CPA with poor conversion intent
Suggest exact-match negative keywords (do not add them — recommend only)

Query-level opportunities

Identify high-converting queries not yet in exact match
Suggest exact-match keyword additions

Alerts

Flag any sudden drop > 25% in CVR, IS, conversions, or ROAS — surface as "investigate first"

Output format

Three sections, each a vertical list of recommendation lines:

🛑 CUT / WASTE

Suggest adding negative exact: "[query]" — spending $X at CPA $Y (3.2× target)

🔧 FIX

Suggest bid +15% on [ad group] — Lost IS (Rank) 28%, strong relevance signal

📈 SCALE

Suggest budget +20% on [campaign — Non-Brand] — Lost IS (Budget) 35%, CPA 18% under target

Skip a section entirely if it has no recommendations. End with: _All recommendations — no changes applied._