15 Google Ads Prompts for Claude (Copy + Paste 2026)

Claude reads your entire account structure and pulls performance data across all campaigns. It returns a ranked list of issues with specific ad groups, keywords, or settings called out by name. This is the best starting point for any new account or when performance has dropped unexpectedly.

Claude pulls your search terms data and cross-references spend against conversions. It surfaces the exact queries draining your budget. When you confirm, it adds them as negative keywords directly in your account. Run this monthly on any Search campaign spending more than a few hundred dollars.

Low Quality Scores raise your cost per click and hurt ad rank. Claude reads your keyword-level Quality Score data and identifies ad groups where the theme between keywords and ad copy is weak. This surfaces structural problems that most dashboards do not make obvious at a glance.

Broken conversion tracking is the most expensive silent problem in any Google Ads account. Claude reads your conversion action configuration and recent data to confirm each action is firing and attributed correctly. Run this after any website change or tag update.

Claude reads your daily spend data and projects each campaign's monthly trajectory. It surfaces campaigns about to go dark early and compares them against ROAS to recommend where budget should shift. This conversation usually takes less than two minutes and can recover spend from campaigns hitting caps prematurely.

Claude queries your keyword performance data, filters by spend and CPA thresholds you set, and shows you the full list before touching anything. After you confirm, it pauses each keyword. This is one of the fastest ways to cut CPA without reducing impression volume on your better-performing keywords.

Claude builds the full campaign structure: ad groups organized by intent, keywords in the right match types, responsive search ads with distinct headlines and descriptions, and the correct bidding configuration. It shows you the complete setup for review before anything goes live in your account.

Claude mines your search terms data for converting queries you are not bidding on directly and cross-references them against your existing keyword list. Adding these as phrase or exact match keywords gives you tighter control and often improves Quality Score since the keyword matches the landing page theme more closely.

Claude groups non-converting search terms by semantic theme rather than just listing individual queries. This gives you a compact negative keyword list that blocks an entire category of irrelevant traffic with a small number of additions. More efficient than adding individual queries one by one.

Broad match keywords tend to accrue the most spend and the least relevant traffic in most accounts. Claude breaks down your match type distribution and shows you whether your broad match investment is converting or just expanding reach without results. Use this to decide where tighter match types make sense.

Claude fetches both time periods and calculates the delta for each metric per campaign. It does not just show the numbers, it surfaces which shifts are statistically meaningful and connects them to account-level changes like budget adjustments, bidding strategy updates, or auction shifts. Good for Monday morning reviews.

Claude pulls 30-day performance data, ranks campaigns by ROAS, and then uses the distribution to recommend specific budget increases for top performers. The recommendation accounts for current daily caps and pacing, so the suggestion is based on headroom, not just performance rank.

Claude uses your current-month spend data and daily run rate to forecast end-of-month totals per campaign. This is useful for agency reporting and for advertisers managing total monthly spend caps across multiple campaigns with different budgets and performance profiles.

Data-driven attribution requires at least 300 conversions in 30 days to work correctly. Claude checks each of your conversion actions against this threshold and flags cases where the model is set to data-driven but the volume is too low. It also catches conflicting settings like overlapping primary conversion actions that can skew Smart Bidding.

Smart Bidding campaigns often underdeliver because targets are set too aggressively relative to actual account performance. Claude compares your configured targets against the last 30 days of actual performance and identifies campaigns where the gap is large enough to be restricting impression share. Fixing this is often faster than any creative or keyword change.