AnalyticsGoogle Ads analysisIntermediateAnalyses your data

Responsive search ad asset performance review

Reviews headline and description asset reports for patterns and proposes new assets, while flagging how little asset-level data can prove.

For: Performance marketers, Marketing analysts, Growth marketers · Works with: Google Ads, Any capable chat model (ChatGPT, Claude, Gemini, others)

Public beta. This prompt was drafted with AI assistance and checked by automated rules, but it has not been reviewed or tested by a person yet. Treat it as a starting point and check the output. It is hidden from search engines while in beta. Use the “Was this prompt useful?” box to tell us what works.

Your prompt

Act as a paid-search copy analyst. Review the RSA asset data below for 'commercial office cleaning' ad group. Data (asset text | type | impressions | performance label or other metric available): Asset | Type | Impressions | Label Office cleaning in Chicago | Headline | 12000 | Best Get a free quote today | Headline | 9000 | Good Trusted by local offices | Headline | 3000 | Low We clean offices of all sizes | Description | 8000 | Good Brand and compliance rules: no superlatives without proof; no price claims. Audience: office managers. Offer facts I can claim: free on-site quote; flexible weekly or monthly plans; licensed and insured. Do this: 1. State assumptions, including that asset labels are relative and combinations are served together. 2. Group assets by message theme (benefit, price, proof, urgency, brand) and describe what the data shows about each theme without over-reading it. 3. Identify assets that appear weak or redundant, and explain the evidence and its limits. 4. Propose 5 new assets (headlines up to 30 characters, descriptions up to 90 characters; count characters and verify the limits) that follow the rules and use only the offer facts above. 5. List the claims in your suggestions that need substantiation. 6. Describe a test plan that avoids changing everything at once. Rules: do not invent offers, prices, awards, discounts or statistics. Missing metrics must be flagged, not guessed. Verify character counts. Treat asset-level labels as indications, not causal proof.

Customize

The fields start with example values so you can see how the prompt works. Everything stays in your browser.

What the ads promote.

Paste your table. The default is small fictional sample data so the preview works; replace it with your own export.

Constraints on wording.

Who searches.

Only true claims.

How many to propose.

Example of what to expect

Illustrative only. It describes the kind of result this prompt aims for; real output varies by tool, model and run.

Theme-level findings with caveats, weak-asset flags with evidence limits, five new assets with verified character counts using only supplied facts, claims to substantiate, and a staged test plan. (Illustrative.)

Expected format: Theme analysis, weak assets, new assets with character counts, claims list, test plan.

How to use it

  1. Check character counts in the Google Ads editor.
  2. Add one theme at a time.
  3. Get claims approved internally.

Limitations

  • Asset labels are coarse and relative; they do not prove which asset caused a result.
  • Models can miscount characters; verify in the editor.

Platform notes

Google Ads

Official docs read · checked 2026-10-11

Character limits for RSA assets change rarely but can; confirm in Google's current help pages.

General notes on Google Ads
  • GAQL uses SELECT/FROM/WHERE/ORDER BY/LIMIT. Confirm resource and field names (for example cost fields, which are expressed in micros) in the API reference; the overview page does not list them.

Any capable chat model (ChatGPT, Claude, Gemini, others)

Official docs read · checked 2026-10-11

Works in any capable chat model. Paste a small anonymised export and recompute the key numbers yourself: chat models can misread columns or miscalculate.

General notes on Any capable chat model (ChatGPT, Claude, Gemini, others)
  • These prompts are plain text and work in any chat assistant. For analytics prompts, paste a small, anonymised export; a chat model can misread columns or miscalculate, so recompute key numbers yourself.

Source, license and attribution

Origin
Original by MarketerTools
Publisher
MarketerTools
License
Original work by MarketerTools, free to copy and use. Informed by the linked documentation; no third-party text is reproduced.
Platform assumptions checked
2026-10-11

Documentation and references behind this prompt

These informed the structure and the platform notes. A reference is not a license, and no third-party prompt text is copied here.

Spotted an attribution error, or are you a source owner with a request? Use the chat button at the bottom right and quote prompt ID ana-011. We will correct or remove it.

Related prompts

  • AnalyticsIntermediateAnalyses your data

    Google Ads search-terms report: wasted spend and negative keywords

    Groups search terms by pattern, estimates wasted spend from your data and proposes negatives, with a protected 'do not negate' list and match-type cautions.

    Google Ads · Any capable chat model (ChatGPT, Claude, Gemini, others)

  • AnalyticsIntermediateAnalyses your data

    Google Ads campaign diagnostic against CPA or ROAS targets

    Compares campaigns against your target, separates volume, efficiency and conversion-rate drivers, and highlights what the data cannot explain.

    Google Ads · Any capable chat model (ChatGPT, Claude, Gemini, others)

  • AnalyticsIntermediateAnalyses your data

    Budget pacing and impression-share analysis

    Checks whether a budget is on pace for the month and whether lost impression share is budget-limited or rank-limited, using the figures you provide.

    Google Ads · Any capable chat model (ChatGPT, Claude, Gemini, others)

  • AnalyticsIntermediateAnalyses your data

    Keyword structure and match-type audit

    Reviews keyword lists and match types for overlap, intent mixing and cannibalisation, with the data you need to confirm each finding.

    Google Ads · Any capable chat model (ChatGPT, Claude, Gemini, others)