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When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.

When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms.

Google Ads operator system for search-term analysis, intent mapping, wasted spend control, account structure decisions, tracking diagnostics, RSA generation, budget review, account planning, and full-…

Execute approved draft actions in Google Ads accounts. Supports four safe mutation types plus bounded budget writes: add campaign-level negatives, add ad-group-level negatives, pause keywords, pause a…

Full Google Ads review that synthesizes tracking, search terms, intent mapping, negatives, structure, RSAs, budget decisions, and PMax context into a single operator read.

Review Google Ads budget allocation and scaling decisions based on signal quality, intent clarity, tracking confidence, and structural health. Pulls live data via MCP or works with manual exports.

Connected-mode onboarding, health check, and customer selection for Google Ads Copilot.

Daily operator review for Google Ads. Surfaces what changed, where waste is showing up, where signal is emerging, what is ready to scale, and what should be left alone.

Summarize all pending drafts across accounts. Produces a single prioritized view of what needs review, sorted by impact, risk, and apply order.

Build or update a Google Ads Intent Map from search terms, campaign data, and account context. Pulls live data via MCP or works with manual exports.

Diagnose landing page → conversion path problems for Google Ads traffic. Separates tracking failures from UX/path failures — the two most commonly confused sources of "low conversion rate." Pulls ad a…

Recommend negative keywords for Google Ads with the right match type, scope, and caution. Pulls live data via MCP or works with manual exports.

Plan or rebuild a Google Ads account using business goals, offer structure, intent strategy, and traffic segmentation logic.

Analyze Performance Max through the lens of intent contamination, cannibalization, weak control surfaces, and what can still be learned despite PMax opacity.

Generate or refine Google Ads RSA recommendations using real buyer language from search terms, intent clusters, and winning modifiers. Pulls live data via MCP or works with manual exports.

Analyze a Google Ads search terms report for waste, buyer-intent signals, negative candidates, isolation opportunities, and messaging clues. Pulls live data via MCP or works with manual exports.

Recommend Google Ads campaign and ad group structure based on intent separation, routing problems, brand/non-brand boundaries, competitor isolation, and landing-page fit.

Diagnose whether a Google Ads account's conversion tracking is trustworthy enough to optimize. Pulls live data via MCP or works with manual exports.