15 ChatGPT Prompts for Google Ads That Work (2026)

Create a Google Ads Search campaign for [product or service] in [locations]. The conversion goal is [purchase / qualified lead / phone call], the daily budget is [amount], and our target CPA or ROAS is [target]. Build 3 tightly themed ad groups. For each one, propose keywords and match types, a starter negative list, 15 RSA headlines within 30 characters, and 4 descriptions within 90 characters. Call out anything you still need from me. Keep the campaign paused for review.

Plan a Performance Max campaign for [brand] selling [products or services]. Goal: [revenue / leads] at [target ROAS or CPA]. Budget: [amount per day]. Use these landing pages and approved assets: [links or asset list]. Propose asset-group themes, audience signals, search themes, headlines, long headlines, descriptions, and exclusions. Separate facts taken from my materials from assumptions. Do not invent images, offers, or customer claims.

Review my Merchant Center products for [country] and propose a Google Shopping campaign structure. Group products by [margin / category / bestseller status], identify products with missing or weak feed attributes, and recommend budget allocation by group. Flag any products that should be excluded. Show the structure first; do not create or enable anything until I approve it.

Research Google Ads keywords for [product or service] in [location and language]. Separate them into high-intent, comparison, problem-aware, and informational clusters. For each keyword, return monthly search volume, estimated CPC, competition, recommended match type, and the landing page it should map to. Exclude navigational queries and terms that do not signal buying intent.

Pull the search terms from [campaigns] for [date range]. Find queries with at least [click threshold] clicks or [spend threshold] spend and zero conversions. Group irrelevant terms by pattern—jobs, free, DIY, education, wrong location, wrong product, or competitor. Propose exact, phrase, or broad negatives and explain the risk of blocking legitimate traffic. Return a review list; do not apply it yet.

Review the keywords and search terms in [campaign or account] for [date range]. Identify ad groups mixing different search intents, duplicate keywords competing across ad groups, and landing-page mismatches. Propose a cleaner ad-group map with a primary intent, keyword set, negatives, and destination page for each group. Preserve any existing keyword that is converting efficiently unless there is strong evidence to move it.

Write two Google responsive search ads for [ad group and keyword theme]. Use only these approved claims and proof points: [list]. Include 15 headlines of 30 characters or fewer and 4 descriptions of 90 characters or fewer. Cover the problem, outcome, differentiation, proof, and CTA without repeating the same phrase. Mark any line that depends on an unverified claim.

Analyze ad-level performance in [campaign] for [date range]. Compare impressions, CTR, conversion rate, CPA, and asset status. Identify the message patterns in stronger ads and the weak or repetitive assets in lower performers. Draft replacement headlines and descriptions that test one new angle at a time. Keep the winners and show the evidence behind every replacement.

Create a complete asset plan for [campaign]. Using these approved URLs and offers [list], draft sitelinks with descriptions, callouts, structured snippets, promotion assets, and call assets where appropriate. Respect Google Ads character limits, avoid duplicate wording, and map every sitelink to the most relevant page. Flag anything that requires business verification.

My [campaign or account] changed over [date range] versus the previous comparable period. Diagnose the movement in spend, conversions, conversion value, CPA, ROAS, CTR, CPC, impression share, and conversion rate. Separate correlation from likely cause. Rank the three most plausible drivers, cite the campaign or ad-group evidence for each, and tell me what additional data would confirm or reject the diagnosis.

Audit Google Ads conversion tracking for [account]. List every conversion action, its primary or secondary status, source, attribution setting, recent volume, value behavior, and any duplicate or inactive actions. Flag campaigns optimizing toward the wrong goal or actions that fire without a value. Do not recommend budget changes until the measurement issues are separated from real performance issues.

Audit [account] for [date range] and find spend that is unlikely to produce the target outcome. Check zero-conversion search terms, keywords above target CPA, campaigns limited by weak conversion data, poor device or location segments, and assets with sustained low engagement. Use a minimum evidence threshold of [clicks / spend / days]. Estimate recoverable spend conservatively and return actions as stop, revise, test, or monitor.

Review campaign performance for [date range]. We have a total daily budget of [amount] and a target [CPA / ROAS] of [target]. Recommend budget increases, decreases, or holds using conversion volume, marginal efficiency, impression-share loss, and recent trend—not ROAS alone. Protect campaigns still in a reasonable learning period. Show the proposed before-and-after budget and the reason for each change. Do not apply it until I approve it.

Run a weekly review for [account] covering [date range] versus the previous period. Start with the five changes that matter, then show campaign-level spend, conversions, CPA, ROAS, CTR, CPC, and impression share. Flag tracking anomalies, budget pacing risk, search-term waste, and material bid or status changes. End with a prioritized action list: do now, investigate, and monitor.

Write a plain-English Google Ads performance summary for [client or stakeholder] covering [date range]. Lead with the business outcome, not platform activity. Explain what changed, why we think it changed, what we did, and what we will test next. Include only verified numbers from the account, label unresolved causes as hypotheses, and keep the summary under [word count]. Add a short appendix with campaign-level metrics.