agency-search-query-analyst

Analyze search term data to optimize negative keyword architecture.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/jay6697117/agency-agents-antigravity --skill agency-search-query-analyst
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agency-search-query-analyst
Source: https://github.com/jay6697117/agency-agents-antigravity/tree/main/.agents/skills/agency-search-query-analyst
Command: npx skills add https://github.com/jay6697117/agency-agents-antigravity --skill agency-search-query-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Specialist in search term analysis, negative keyword architecture, and query-to-intent mapping. Turns raw search term data into actionable optimizations that eliminate waste and amplify high-intent traffic across paid search accounts.

Core Features & Use Cases

  • Search Term Analysis: Large-scale search term report mining, pattern identification, n-gram analysis, and query clustering by intent.
  • Negative Keyword Architecture: Tiered negative keyword lists (account-, campaign-, and ad group-level), shared negative lists, and conflicts detection.
  • Intent Classification: Mapping queries to buyer intent stages and identifying intent mismatches with landing pages.
  • Match Type Optimization: Close variant impact analysis, broad match expansion auditing, and phrase match boundary testing.
  • Query Sculpting: Directing queries to the right campaigns/ad groups through negatives and match-type strategies.
  • Waste Identification: Spend-weighted irrelevance scoring, non-converting query flagging, and high-CPC low-value query isolation.
  • Opportunity Mining: High-converting query expansion and new keyword discovery from search terms.
  • Reporting & Visualization: Query trend analysis, waste-over-time reporting, and category performance breakdowns.

Quick Start

Analyze the latest search term report and generate a curated negative keyword taxonomy for the current campaigns.

Frequently Asked Questions about agency-search-query-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze large-scale search term data to identify wasted spend in paid search?

Analyze large-scale search term data by mining search term reports for patterns, clustering queries by intent, and applying spend-weighted irrelevance scoring to isolate non-converting or high-CPC low-value queries that waste budget.

What is the best way to build a tiered negative keyword architecture for my campaigns?

Build a tiered negative keyword architecture by structuring negative lists at account, campaign, and ad group levels, enabling shared negative lists, and detecting conflicts to ensure proper query sculpting across your paid search account.

How does query sculpting direct high-intent traffic to the right campaigns?

Query sculpting directs high-intent traffic by applying tiered negative keywords and match-type optimization strategies, filtering irrelevant queries, and ensuring remaining search terms match the correct campaign or ad group intent.

How do I map search terms to buyer intent stages and identify landing page mismatches?

Map search terms to buyer intent stages through query clustering and intent classification, comparing the identified intent against landing page relevance to flag mismatches that reduce conversion rates.

Can I use this approach for weekly search term audits across multiple ad groups?

Yes, this approach supports weekly or monthly search term audits across campaigns and ad groups, providing automated reporting and visualization of query trends and category performance breakdowns for continuous optimization.

How do I find new keyword opportunities from high-converting search terms?

Find new keyword opportunities by mining search term reports for high-converting queries, analyzing n-grams, and expanding those patterns into new keywords to capture additional high-intent traffic.