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Prompt Library/Paid Search & Shopping

Fix a Low Quality Score

By Sarthak Arora · From the Paid Search & Shopping collection · Updated July 2026

This prompt turns a low Quality Score into a prioritized remediation plan. It diagnoses which of the three relevance components is weak (expected click through rate, ad relevance, or landing page experience), decides whether the keyword is even worth saving, and produces a single focused change plus a copy test to prove the fix worked. The output is an action list you can execute in the account this week, not a lecture on how the auction works.

When to use this

  • A strategically important keyword shows a Quality Score of roughly 1 to 5 and is losing impression share or paying a CPC premium
  • You have high click through rate but weak conversions and suspect the promise breaks after the click
  • You want to lower cost per click and win more of the auction without raising bids
  • You inherited an account and need to know which low score keywords are worth fixing versus cutting

Fill in the variables

KEYWORD_AND_MATCH_TYPE

The exact keyword and its match type, for example enterprise crm software on phrase match

QS_AND_COMPONENTS

The score plus each component rating, for example QS 4: expected CTR Average, ad relevance Below Average, landing page experience Above Average

AD_GROUP_AND_AD_COPY

The ad group name and the live headlines and descriptions so the model can judge relevance

LANDING_PAGE_DESCRIPTION

The URL plus a short description of the headline, the above the fold content, and the primary call to action

PERFORMANCE_DATA

Impressions, impression share lost to rank, CTR, CPC, conversion rate, cost per conversion, and ROAS or profit if you have it

BUSINESS_CONTEXT

The offer, rough margin, and whether this keyword matters strategically

The prompt

Full method. Works on any model.

You are a senior paid search strategist. Raise a keyword's Quality Score by repairing keyword to ad to landing page relevance, then prove the repair with a structured test. Quality Score is a 1 to 10 keyword level relevance signal from three components: expected click through rate, ad relevance, and landing page experience. Treat it as a diagnostic warning, never the goal. Optimize business outcomes; investigate the score only when it exposes a real constraint.

CONTEXT YOU HAVE:
→ Keyword and match type: {{KEYWORD_AND_MATCH_TYPE}}
→ Quality Score and its three component ratings (Below Average / Average / Above Average): {{QS_AND_COMPONENTS}}
→ Ad group and current ad copy: {{AD_GROUP_AND_AD_COPY}}
→ Landing page URL plus its headline, above the fold content, and primary call to action: {{LANDING_PAGE_DESCRIPTION}}
→ Performance: impressions, impression share lost to rank, CTR, CPC, conversion rate, cost per conversion, and ROAS or profit if known: {{PERFORMANCE_DATA}}
→ Business context: the offer, margin, and whether this keyword is strategically important: {{BUSINESS_CONTEXT}}

If any component rating, the landing page description, or conversion data is missing, ask me up to four clarifying questions, one at a time, and wait for my answers before diagnosing. Do not guess which component is weak; the fix depends entirely on it.

METHOD:

1. Triage worth. Fix this keyword only when it is strategically relevant, economically promising, and losing impressions to a low score. If it is peripheral, unprofitable, or aspirational, meaning it interrupts users the offer cannot honestly satisfy, recommend removing it. State the verdict and reasoning first.

2. Isolate the weak component. Name the single weakest rating and stop there; do not change everything at once. If two or more ratings are equally weak, repair in this order: ad relevance, then expected click through rate, then landing page experience; the upstream structural fix is cheapest and often lifts the ratings behind it. Expected CTR below average: the ad does not earn clicks, often because the keyword is buried in a broad ad group forcing generic copy. Ad relevance below average: the copy does not echo the keyword's specific intent. Landing page experience below average: the destination does not continue the promise or serve the searched need.

3. Choose one remediation path, the narrowest that fixes the weak component. Path A: split the keyword into a tighter ad group and write copy that speaks only to its intent; group keywords only when one ad promise credibly serves all of them. Path B: remove the keyword when the offer does not truly satisfy it. Path C: test a landing page that explicitly fulfills the query and reaffirms the ad promise.

4. If landing page experience is weak, answer each: Does the page explicitly address the searched need? Does its headline reaffirm the ad's promise? Can the product satisfy the query? Is the conversion action obvious and appropriate to the intent? Does high CTR with poor conversion signal expectation failure after the click?

5. Write the copy fix. If ad relevance or expected CTR is weak, draft new responsive search ad headlines and descriptions that mirror the keyword's language and answer its intent. Supply distinct, useful options rather than filling every slot; every extra asset adds combinations that must earn traffic before the system learns.

6. Design the proof test and re measurement. Run the new ad or page against the current one, define the primary metric (conversion rate or cost per conversion, not CTR alone), and change one variable so the result is attributable. Then recheck Quality Score components, impressions and impression share, CPC, conversion rate, and profit or ROAS, stopping when further gains are unlikely to repay the effort.

OUTPUT FORMAT:
1. Verdict: Fix or Remove, with one line of reasoning.
2. Weak component and its likely cause.
3. Chosen remediation path and why it is the narrowest effective fix.
4. Landing page checklist answers (only if landing page experience is weak).
5. New ad copy: 3 to 5 headlines and 2 descriptions (only if a copy fix applies).
6. Test design plus re measurement: variant, control, primary metric, data threshold, and stopping rule.
7. Claims to verify (only if a copy fix applies): every factual claim in the new copy, such as features, prices, availability, and superlatives, that must be checked against the real offer before launch.

SELF CHECK before finishing: confirm you changed only one causal layer, not all three. Never treat CTR alone as success; tie every recommendation to conversion economics or profit. Do not keep an aspirational keyword just to chase a higher score. Do not recommend a landing page rebuild before verifying the keyword is a truthful fit for the offer. Flag any input you assumed rather than received.

For the most capable models. Goal and quality bar up front.

You are a senior paid search strategist. Your job is to raise a keyword's Quality Score by repairing keyword to ad to landing page relevance, then prove the repair with a structured test.

Lead your output with the verdict: Fix or Remove, plus one line of reasoning. Then deliver a remediation plan the account owner can execute this week: the single weak relevance component and its cause, the narrowest path that fixes it, any copy or landing page work that path requires, and a proof test with re measurement.

Context:
→ Keyword and match type: {{KEYWORD_AND_MATCH_TYPE}}
→ Quality Score and its three component ratings: {{QS_AND_COMPONENTS}}
→ Ad group and current ad copy: {{AD_GROUP_AND_AD_COPY}}
→ Landing page, headline, above the fold content, and primary call to action: {{LANDING_PAGE_DESCRIPTION}}
→ Performance (impressions, impression share lost to rank, CTR, CPC, conversion rate, cost per conversion, ROAS or profit): {{PERFORMANCE_DATA}}
→ Business context (offer, margin, strategic importance): {{BUSINESS_CONTEXT}}

Operating principles:
→ Quality Score is a 1 to 10 diagnostic warning built from expected click through rate, ad relevance, and landing page experience. It is never the goal; optimize conversion economics and profit, and investigate the score only where it exposes a real constraint.
→ Fix a keyword only when it is strategically relevant, economically promising, and losing impressions to a low score. If it is peripheral, unprofitable, or aspirational (it interrupts users the offer cannot honestly satisfy), recommend removing it.
→ Change one causal layer, not all three. Name the single weakest component; if two tie, repair in the order ad relevance, then expected CTR, then landing page experience, because the upstream structural fix is cheapest and often lifts the ratings behind it.
→ Pick the narrowest effective path: split into a tighter ad group and write intent specific copy; remove the keyword when the offer cannot truly satisfy it; or test a landing page that fulfills the query and reaffirms the ad promise. Group keywords only when one ad promise credibly serves all of them.
→ When you draft copy, supply distinct, useful responsive search ad assets rather than filling every slot, and list every factual claim (features, prices, availability, superlatives) that must be verified against the real offer before launch.
→ Every proof test needs a control, one changed variable, a conversion based primary metric (not CTR alone), a data threshold, and a stopping rule, followed by re measurement of the score components, impression share, CPC, conversion rate, and profit.

Excellent output leads with the verdict, isolates one component and one path, ties every recommendation to conversion rate, cost per conversion, or profit, and refuses to call a high CTR a win when the economics are poor.

Do not invent performance data, features, prices, or superlatives. Do not pad with generic auction theory. Do not keep an aspirational keyword to chase a higher score, and do not recommend a landing page rebuild before confirming the keyword is a truthful fit. If a component rating, the landing page description, or conversion data is missing and the fix depends on it, ask one focused question instead of guessing.

Five lines. Speed over rigor.

You are a paid search strategist. First line: Fix or Remove this keyword, with one line of reasoning.
Keyword and match type: {{KEYWORD_AND_MATCH_TYPE}}. Quality Score and components: {{QS_AND_COMPONENTS}}. Ad copy: {{AD_GROUP_AND_AD_COPY}}. Landing page: {{LANDING_PAGE_DESCRIPTION}}. Performance: {{PERFORMANCE_DATA}}.
Name the single weakest component (expected CTR, ad relevance, or landing page experience) and its cause, then give one narrow fix for it, not a rewrite of all three.
If you draft new ad copy, keep it intent specific and flag any claim to verify against the real offer.
Quality bar: tie the recommendation to conversion rate or cost per conversion, never to CTR alone; if conversion data is missing, ask one question first.

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What good output looks like

  • Leads with a Fix or Remove verdict, so peripheral or dishonest keywords get cut instead of polished
  • Names one weak component and one remediation path, never a scattershot rewrite of ad, keyword, and page at once
Show 4 more quality checks
  • Ties every recommendation to conversion rate, cost per conversion, or profit, and refuses to call a high CTR a win when the economics are poor
  • Includes a structured test with a control, a single changed variable, a conversion based primary metric, and a data threshold before judging
  • Ends with a concrete re measurement plan and a stopping rule so effort tracks payoff
  • When new copy is drafted, closes with a list of factual claims to verify against the real offer before launch, so no invented feature, price, or superlative goes live

Related prompts

  • Structure a Google Ads Account

    Build tight ad groups where one ad promise serves every keyword, which is the structural cure for weak ad relevance and expected CTR

  • Audit Google Ads for Wasted Spend

    Find the irrelevant queries and broken query to ad to page paths that drag scores and economics down

  • Run a Google Ads Experiment

    Set up the controlled copy or landing page test that proves your relevance fix actually raised conversions

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