Prompt library: Claude & ChatGPT

Reporting

Monthly paid channel efficiency ranking with a budget split proposal

A ranking of every paid channel by cost per conversion, with spend share vs conversion share and a proposed budget split for next month.

Compare last calendar month across Google Ads, Meta, TikTok and Microsoft Ads.

Build one table with these columns for each channel:
- spend
- conversions
- cost per conversion
- conversion value and ROAS, where value is tracked
- share of total spend (%)
- share of total conversions (%)

Rank the channels by cost per conversion. My target cost per conversion is [target CPA].

Decision rules:
- If a channel's share of conversions is at least 10 points below its share of spend, mark it as a candidate to cut.
- If a channel's share of conversions is at least 10 points above its share of spend, mark it as a candidate to scale. For Google Search, only do this if impression share analysis shows the campaigns are losing impression share to budget.
- If a channel has fewer than 10 conversions, mark it "not enough data" and leave its budget unchanged.

Then propose next month's split in a table with current monthly spend, proposed spend and a one-line reason for each channel. Keep the total within [monthly budget].

Do not apply anything. If I approve, show a preview of each budget change and wait for my confirmation.

Reporting

Month-to-date budget pacing across Google, Meta and TikTok

A pacing table showing which channels will overspend or underspend by month-end, with previewed daily budget corrections.

Check my budget pacing for the current month. My monthly plan is Google Ads [Google monthly budget], Meta [Meta monthly budget] and TikTok [TikTok monthly budget].

1. For Google Ads, use budget pacing to project each campaign's month-end spend against its daily budget.
2. For Meta and TikTok:
   - Take the month-to-date spend and the average daily spend of the last 7 days.
   - Project spend to month-end from those two numbers.
3. Deliver one table with these columns: channel, campaign, planned monthly spend, month-to-date spend, projected month-end spend, variance (%).

Decision rules:
- Flag any channel projected more than 10% over or under plan.
- For each flagged channel, propose the new daily budget that lands it on plan.
- Take the cut from the campaigns with the highest cost per conversion over the last 14 days.
- Add the extra budget to the campaigns with the lowest cost per conversion.

Do not change anything yet. Show a preview of every proposed budget change, with old and new daily amounts, and apply only the ones I confirm.

Reporting

Monthly Google Ads client report with a shareable white-label link

Builds a one-page, jargon-free monthly report for a client with exact calendar-month figures versus the previous month, explains every big KPI move from campaign data and creates the white-label link only after you approve the draft.

Prepare the monthly Google Ads report for [client account] for [month, e.g. 2026-09], compared with the previous calendar month.

Data:
- Use list_accounts to find the customer ID of [client account].
- Pull exact calendar-month figures with get_report (platform google_ads) using start_date and end_date for [month], then again for the previous month. Get both the account totals and the campaign-level rows.
- If you need more campaign detail, use performance_report at campaign level.
- KPIs: cost, clicks, conversions, conversion value, CPA, ROAS and CTR, each with the % change. If conversion value is not tracked in this account, leave ROAS out and say why in one line.

Write it for a client who is not a marketer:
1. A 3-sentence executive summary covering the result, the main driver and what comes next.
2. A KPI table with this month, last month and % change.
3. The top 3 campaigns by conversions. Also name the campaign with the highest CPA among those that took more than 10% of the month's total spend.
4. Three concrete next steps we will take next month, each tied to something in the data.

Flag every KPI that moved more than 15%. Explain each one with evidence from the campaign-level rows, such as a spend shift between campaigns, a CPA change in a specific campaign or a conversion drop. If the data does not explain the move, say so plainly and do not guess.

Keep it to one page with no jargon. Show me the draft first and stop.

After I approve the draft, create the shareable white-label link with client_report_link using brand_name [agency or client brand name]. Note that this tool only takes a rolling days window ending now, not a named month. So before creating it, tell me which exact dates the link will cover with the days value you plan to use, and whether that matches [month]. If it does not match (for example we are well past month end), tell me that clearly and let me choose: create the link anyway with its rolling window, or skip the link and I will send the approved draft myself. Then give me the URL.

Reporting

Agency portfolio triage: which client accounts need attention this week

Compares every connected Google Ads client account over the last 30 days versus the previous 30, adds month-to-date budget pacing, ranks accounts by risk and gives account managers one data-backed first check for the top 5. Read-only.

Triage all connected Google Ads client accounts. Compare the last 30 days with the previous 30 days.

How to get the numbers:
- Run portfolio_report with days=30, then again with days=60. For each account, derive the previous 30 days by subtracting the 30-day figures from the 60-day figures (cost, clicks, conversions, conversion value), then calculate CPA and ROAS for both periods yourself.
- Use list_accounts to get each account's customer ID, then run budget_pacing_alerts with threshold_pct=10 for each account. Pacing is a month-to-date projection to month-end, not the 30-day window, so label that column "pacing (this month)".
- If an account does not track conversion value, mark ROAS as n/a instead of treating it as below target.

Mark an account as at risk if it meets any of these conditions:
- CPA up more than 20%
- Conversions down more than 20%
- ROAS below [target ROAS, or list per-account targets]
- Any campaign flagged by budget pacing as over or under by more than 10% by month-end

Deliver one table with these columns: account, spend, conversions, CPA, ROAS, % change in CPA and conversions, pacing (this month), risk reasons. Sort it by the number of risk reasons, then by spend.

Below the table, list the 5 accounts our account managers should open first this week. For those 5 only, run conversion_tracking_health (days=30) and search_terms_report (days=30, sort by cost) to ground the advice. Give one concrete first check for each, for example "search terms in campaign X are spending without conversions" or "conversion action Y recorded nothing in 30 days", based on what the data shows. If neither report explains the account's problem, say what you would look at next instead of guessing.

Finish with the accounts that improved the most. These are good news for client calls.

This is read-only. Do not change anything in any account.

Reporting

Full-funnel client report: paid, organic and on-site results in one view

A monthly funnel report joining Google Ads, Search Console and GA4, showing which channel actually drove key events.

Reporting

Monthly SEO client report: queries, rankings and page speed

A client-ready SEO report with organic trends, tracked rank movement, page-2 opportunities and Core Web Vitals for key pages.

Prepare the monthly SEO report for Search Console property [property URL]. Compare the last 28 days with the previous 28 days.

Include these sections:
1. Headline numbers: organic clicks, impressions, CTR and average position, each with the % change.
2. The top 10 pages by clicks, with click change and position change.
3. Page-2 opportunities: queries at average position 8 to 20 with more than [impression threshold] impressions. Show query, page, position and impressions. Rank them by impressions.
4. Tracked keywords from the stored rank history: list the movers up or down by 3 or more positions this month. Do not run new paid rank checks.
5. Core Web Vitals for the homepage and the 3 landing pages with the most clicks. Mark each as pass or fail on LCP, INP and CLS.
6. Sitemap status, mentioning only errors or warnings.

Write a 4-bullet summary for the client in plain language. Then list next month's 3 priorities, choosing from the page-2 list and any failing Core Web Vitals.

Read-only. Do not submit or change anything.

Account audits

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Account audits

Find wasted search terms and build a safe negative keyword list

A themed table of money-wasting search terms with ready-to-apply negatives and projected savings, applied only after you approve.

Find the search terms wasting money in my Google Ads account [account name] over the last 60 days.

Use the search terms report and the smart negative keyword suggestions. First read all my existing negatives (campaign level, ad group level and shared lists) so you do not suggest duplicates.

Flag a term as waste if:
- it spent more than [amount] with zero conversions, or
- it clearly has the wrong intent (jobs, free, DIY, second hand, places I do not serve, competitor names), regardless of spend.

Deliver a table with these columns: search term, campaign, cost, clicks, conversions, suggested negative, match type (exact or phrase), level (campaign, ad group or shared list), and a one-line reason. Group rows into themes and show the total spend these terms took in 60 days.

Rules: never block a term that converted at least once. Warn me if a negative would also block one of my converting keywords.

Then show a preview of exactly what you would add and wait for my approval before applying anything.

Account audits

Check conversion tracking before trusting any CPA or bidding decision

A pass/fail check of your conversion setup across Google Ads, GA4 and Tag Manager, with the fixes that stop Smart Bidding from optimising toward the wrong action.

Before I make any optimisation decisions, check whether conversion tracking in my Google Ads account [account name] can be trusted. Use the last 30 days.

Check and report pass/fail for each:
- primary conversion actions that recorded zero conversions, or are paused or removed
- the same lead counted twice (for example a Google Ads tag and an imported GA4 key event both set as primary for the same form)
- weak actions set as primary, such as page views, scrolls or button clicks
- lead actions counting "every" instead of "one"
- lookback windows and default values that make no sense for my business
- Google Ads conversions vs GA4 key events for the same action: flag any gap above 20%
- in Tag Manager, whether a conversion tag exists for each primary action and fires on the right trigger

Deliverable: a checklist table (check, status, evidence, fix), then a short verdict: can I trust my CPA today, yes or no.

If a primary/secondary setting should change, show me a preview of the exact change and wait for my approval. Do not change anything silently.

Account audits

Spot suspicious clicks and block fraudulent IPs after review

A scored list of suspicious IP addresses tied to campaign anomalies, with a blocking plan you approve before anything is excluded.

Account audits

Clean up weak ads, disapprovals and missing extensions

A per-ad-group checklist of ad strength, underperforming headlines, policy issues and extension gaps, plus draft replacement copy.

Audit the ads and extensions in my Google Ads account [account name]. Use the last 60 days.

For each active Search ad group, check:
- ad strength of every responsive search ad, and Google's action items for improving it
- headlines and descriptions with at least 1,000 impressions whose CTR is below half the ad group average
- headlines pinned without a clear reason (pinning limits combinations)
- disapproved or limited ads and the exact policy reason
- extensions: fewer than 4 sitelinks, no callouts, no structured snippets, or no call extension; also sitelinks that got impressions but zero clicks

Deliverables:
1. A checklist table per ad group: issue, evidence, fix.
2. For each weak headline or description, 2 replacement drafts that include the ad group's main keyword and a concrete benefit or offer from my business: [main offer or USP]. Respect the 30 and 90 character limits.
3. For each disapproval, what to change to get it approved.

Edit existing ads in place rather than creating new ones, so performance history is kept. Show me a preview of every edit and wait for my approval.

Account audits

Meta creative fatigue detector with refresh angles

A ranked list of fatigued Meta ads based on frequency, CTR decay and rising cost per result, with new creative angles to replace them.

Find ads showing creative fatigue in Meta ad account [ad account].

Data: pull daily ad-level data for the last 28 days: impressions, reach, frequency, link CTR, CPM and cost per result. For each ad, compare its last 7 days with its first 7 days of delivery inside the window. Ignore ads with fewer than 3,000 impressions in the last 7 days.

Flag an ad as fatigued only when all three are true:
- Frequency is above [frequency limit, e.g. 3.5] for prospecting, or above 6 for retargeting.
- Link CTR has dropped 25% or more.
- Cost per result has risen 20% or more.

For each flagged ad, read the creative (headline, primary text, format, CTA) so I can see which angles are wearing out.

Deliverable:
1. A ranked table with these columns: ad, ad set, frequency, CTR change %, cost per result change %, spend last 7 days, creative angle.
2. For each affected ad set, a note on whether a healthy ad is left to carry delivery.
3. Two new creative angles per ad set that clearly differ from the fatigued ones.

If you recommend pausing any ad, list the pauses as a preview and wait for my confirmation before calling any write tool.

Account audits

Meta under-delivery diagnosis: why ad sets are not spending

A ranked list of Meta campaigns and ad sets that are not spending their budget, with the likely cause, the evidence and a previewed fix for each.

Diagnose under-delivery in Meta ad account [ad account].

Scope: over the last 7 days, find active campaigns and ad sets that spent less than 60% of their budget or had at least one day with zero impressions.

For each one, check these causes in this order:
1. Ad and ad set status: disapproved or in-review ads, or all ads paused so no active ad is left.
2. Audience size and expected daily results from the delivery estimate.
3. A bid cap or cost cap set too low compared with the actual cost per result.
4. Schedule and end dates.
5. Retargeting audiences too small to serve.
6. Edits in the change history that coincide with the drop.

Deliverable: a ranked list with the biggest unspent budget first. Columns: entity, budget, actual spend, delivery %, most likely cause, evidence, fix. Label any cause you cannot prove with data as a hypothesis.

Some fixes require a change, such as raising a cost cap, broadening targeting or re-activating an ad. For those, prepare a preview of the exact edit and wait for my go-ahead before applying it.

Campaign setup

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Campaign setup

Build a local Google Search campaign from scratch, created paused

A fully structured Search campaign with keywords, ads and negatives, shown for approval before it is created paused.

Set up a new Google Search campaign for my [business type] in [city]. It must be created paused.

1) Run Keyword Planner with 5-10 seed terms for my main services. Keep ideas with at least 50 average monthly searches. Drop job, DIY, free and training queries.
2) Group the remaining ideas into 2-4 tightly themed ad groups, one service per group. Use phrase and exact match only, with no broad match at launch.
3) Find the location ID for [city]. Set the location option to people present in the location, not people interested in it.
4) Write one responsive search ad per ad group with at least 12 headlines and 4 descriptions. Include the city and a clear call to action. The final URL is [landing page URL].
5) Add campaign-level negative keywords: jobs, salary, free, how to, course, used.
6) Set the daily budget to [daily budget] with Maximize Clicks to start.

Before you create anything, show me the full structure as a table. Include ad group, keyword, match type, monthly searches, headlines with character counts, negatives, budget and location. Wait for my approval, then create the campaign paused.

Campaign setup

Demand Gen campaign using my best-retaining YouTube videos

Shortlists your strongest short YouTube videos by retention and builds a paused Demand Gen campaign around them. It adds country and language targeting, a 30-day remarketing audience and ready-to-run ad copy, and previews every step before anything is created.

I want a Demand Gen campaign that uses my own YouTube videos. It must be created paused.

Inputs:
- Landing page: [product or service page URL]
- Country: [country]
- Language: [language]
- Daily budget: [daily budget]
- Business name (max 25 characters): [business name]

1) Video shortlist.
   - List my YouTube channels. If there is more than one, ask me which to use.
   - Pull the channel overview for the last 90 days to get the channel's average view percentage as a benchmark.
   - Pull my top 25 videos for the same period.
   - Rank them by average view duration in seconds, not by views. Show each video's title, views, watch time and average view duration.
   - The report does not include video length or per-video view percentage. Take the top 6 by average view duration and ask me to paste each one's length, or the "average percentage viewed" from YouTube Studio. Then calculate view percentage as average view duration divided by length.
   - Shortlist 2-3 videos that are under 60 seconds and above 40% average view percentage. If none qualify, say so and stop.
   - For each shortlisted video, ask me for its YouTube link or video ID if you do not already have it.
2) Audience check. List my audiences with their definitions. Look for a remarketing list of visitors to [product or service page URL] with a 30-day membership.
   - If one exists, use it.
   - If not, propose one: name, URL rule (CONTAINS [product or service page URL path]), membership 30 days, lookback 30 days.
3) Campaign plan:
   - Campaign: Demand Gen, daily budget [daily budget], bid strategy Maximize Conversions unless I say otherwise.
   - One ad group, named after the product or service.
   - Ad group location: [country]. Ad group language: [language]. Demand Gen keeps location and language on the ad group. Without this step the campaign targets every country, so it must be applied before anything is enabled.
   - Remarketing audience on the ad group. A newly created list starts empty and fills over the following days. Recommend whether to attach it as Observation or Targeting given its current size, and explain why.
4) Ad copy. For each shortlisted video, write:
   - 3 headlines (max 40 characters each)
   - 1 long headline (max 90)
   - 2 descriptions (max 90)
   - A call to action
   Show character counts. The final URL for every ad is [product or service page URL] and the business name is [business name].

Preview everything first: the shortlist with metrics, the audience rule, the campaign and ad group settings, the targeting and all ad copy. Wait for my approval. Then create things in this order, showing a dry run (confirm=false) for each step and waiting for my OK before confirming:
a) The remarketing audience, if a new one is needed.
b) The Demand Gen campaign (paused).
c) The ad group. First check whether the campaign already has one by listing its ad groups. If it does not, run the ad group creation as a dry run. If the tool refuses for a Demand Gen campaign, tell me to add one ad group in the Google Ads interface and paste its ID, then continue.
d) Ad group location and language targeting. After applying it, read the ad group's targeting back and confirm only [country] and [language] are set.
e) Attach the audience to the ad group in the agreed mode.
f) One video ad per shortlisted video.

Finish with a summary of the IDs created and confirm that the campaign is still paused.

Campaign setup

Final pre-launch review of my paused campaigns before turning them on

Audits every recently created paused campaign for targeting, ad strength, policy, extensions, schedule, budget and landing page, then proposes enabling only the ones with zero fails.

Review every campaign I created in the last 14 days that is still paused, before I turn any of them on. Use the account snapshot including inactive campaigns to find them by creation date, and list their ad groups and ads.

My intended daily budgets: [campaign name: daily budget, one per line]
My opening hours: [opening hours]

For each campaign, check the following:

1) Targeting. The location option should be people present in the location, not people interested in it. Confirm the language is correct and the device settings make sense. For Demand Gen campaigns, read location and language from each ad group, because Google keeps them there.
2) Ads. Every ad group should have at least one ad with Ad Strength of Good or better. List Google's improvement items for the rest. For Performance Max, check the asset group ad strength instead. Also flag ads that are themselves paused: a paused ad stays paused when the campaign is enabled and serves nothing.
3) Policy. Check for any disapproved or limited ads, and give the reason and the triggering text Google reports.
4) Extensions. Search campaigns should have at least 4 sitelinks and 4 callouts. For other campaign types, mark this check as not applicable rather than failed.
5) Schedule and budget. Check that the ad schedule matches my opening hours, and that the daily budget matches the number I gave above. If I gave no number for a campaign, show the current budget and mark it "to confirm".
6) Landing page. Take the final URL from the ads. Run a mobile SEO and tag audit and check mobile Core Web Vitals. Fail the page if mobile LCP is over 2.5 seconds (use real-user field data when available, otherwise lab data, and say which) or if no Google tag (Google Ads or GA4 / GTM) is found among the loaded measurement tags.

Deliver one table per campaign with these columns: check, pass/fail/not applicable, detail, fix.

Decision rule: recommend enabling only the campaigns with zero fails. Show that list as a dry run (confirm=false), including any paused ads inside them that would also need enabling, and wait for my approval before changing any status.

Campaign setup

Launch a Meta lead generation campaign with an instant form

Reuses or drafts a qualifying instant form, then builds a paused Leads campaign, ad set and form-linked ads, with dry-run previews before creation and rendered Feed and Stories previews after.

Set up a lead generation campaign in Meta ad account [client ad account] for [offer], targeting [city or country].

1. List the Facebook Pages this ad account is actually allowed to advertise for, and the instant forms already on the correct Page with the questions each asks. Reuse a form only if it collects full name, phone and email and includes at least one qualifying question. Otherwise, draft a new form with full name, phone, email, two qualifying questions as choice lists (budget range: [budget options]; timeline: [timeline options]) and the privacy policy URL [privacy URL].
2. Draft one campaign with the Leads objective, created paused. Ask me whether [offer] falls under housing, employment, credit or another special ad category before building. Include one ad set with broad targeting in the location above, ages 25-65, automatic placements (no placement restrictions), lead generation optimisation with the Page as the promoted object. Ask me for the daily budget before building.
3. Draft link ads attached to the form, using the image [image link or attached file]. Write 3 primary text options under 125 characters, a headline under 40 characters, and a Sign Up call to action. Use a clear, plain style with no hype. Ask me whether to build one ad per primary text (3 ads, so Meta can compare them) or one ad with the option I pick.

Before you create anything, show me the full plan as a table with the form fields, campaign, ad set and ad copy, plus the dry-run (confirm=false) output of each step. Wait for my approval, then create everything paused in this order: form, campaign, ad set, ads. Then render ad previews for Feed and Stories (Facebook and Instagram) from the new creatives so I can check them while nothing is spending. Return all IDs.

Campaign setup

Set up a Meta dynamic product retargeting campaign from the catalog

Checks pixel, catalog, product set and Page, builds only the missing retargeting audiences, then drafts a paused Sales campaign with a catalog ad set and a dynamic ad, with dry-run previews and approval before anything is created.

Set up a dynamic product retargeting campaign for e-commerce client [client ad account].

Pre-checks: stop and report if any of these fail.
- The pixel has fired recently. Read its last fired time and stop if it is older than 24 hours or empty. If the value is only precise to the day, say so and tell me what it shows.
- The catalog appears among the catalogs on the ad account's Business Manager and its product count is above zero.
- Product set [product set name] exists in that catalog. If it is missing, list the available product sets. If the listing shows a product count, confirm it is not empty; if it does not, say so.
- The Facebook Page this ad account is actually allowed to advertise for (check with the ad account, not just my personal Page list).

Audiences: check the existing custom audiences first, then propose only what is missing. Each website audience is built from one pixel event, so the retargeting pool is two audiences used together in the ad set:
- Viewed a product (ViewContent), 14-day retention
- Added to cart (AddToCart), 14-day retention
- Purchasers (Purchase), 30-day retention, as the exclusion
If the audience list returns sizes, warn me when the 14-day audiences look too small to deliver.

Draft the following:
- One campaign with the Sales objective, created paused, with no campaign budget so the ad set holds it.
- One catalog ad set bound to the catalog and product set, targeting both 14-day audiences, excluding purchasers, with automatic placements (no placement restrictions), conversion optimisation on the pixel's Purchase event and a daily budget of [daily budget], created paused.
- One dynamic ad on the Page with a Shop Now button and the fallback link [store homepage], created paused. The catalog fills the product name; put the price in the description with {{product.price}}. Write a primary text that reminds the viewer of the product they looked at, with no discount claims unless I add them.

Step 1: show the full plan with the confirm=false output for every audience you will create and for the campaign. Wait for my approval.
Step 2: after I approve, create the audiences and the paused campaign. Then show the confirm=false output of the ad set and the ad (they need the new IDs). Wait for my approval again.
Step 3: once approved, create them paused. Run a delivery estimate on the new ad set and flag a small audience. Take the creative id from the create response (or read it from the new ad's creative) and render previews for Facebook Feed, Instagram Feed, Facebook Stories and Instagram Stories, so I can review them before anything spends. Return all IDs.

Campaign setup

Turn Instagram Reels into WhatsApp click-to-message ads

Resolves the ads-usable media ID for each Reel, checks that the target ad set really sends people to WhatsApp, and builds paused ads that keep the original post's engagement. You approve the drafts before anything is created.

Turn these Instagram Reels into WhatsApp click-to-message ads in our client's Meta ad account [client ad account]: [Reel links, one per line]. The client's Instagram account is [client Instagram username].

1. Access: Confirm that [client Instagram username] appears among the Instagram accounts usable from this ad account. Then list the Pages for this ad account and tell me which Facebook Page is actually assigned to it. A Page that is only visible to me does not count. If the Instagram account or an assigned Page is missing, stop and tell me what has to be fixed.

2. Media IDs: Try to resolve each Reel link to its ads-usable media ID. A link alone does not always return that ID. When it does not, list the client's Instagram posts and Reels and match each link by its shortcode or permalink, then take the media ID from that list. Never use the internal media_pk as the ad ID. If a Reel is not in the list, or its owner is not [client Instagram username], mark it and ask me to paste its media ID from Ads Manager (Use existing post > Instagram).

3. Ad set check: Read the settings of ad set [ad set name]: optimisation goal, destination type, placements, Page and status. Also list the ads already in it and report any delivery issues, especially error 2490279 (button does not match the ad set's messaging destination). Tell me whether the ad set suits a WhatsApp ad. That means a WhatsApp messaging destination, ideally with conversations optimisation, and placements that include Instagram Reels. If it does not suit, propose the fix but do not apply it. An existing ad set's messaging destination and optimisation goal cannot always be changed after creation, so the fix may have to be a new ad set. In that case, give me its full spec: name, CONVERSATIONS optimisation, WhatsApp destination, assigned Page, daily budget [daily budget], targeting copied from [ad set name], and placements. Create it only after you show me a preview and I approve it, and create it paused. Do not put WhatsApp ads into an ad set whose destination is not WhatsApp.

4. Drafts: For each Reel, draft an ad built from the existing Instagram post so that its likes, comments and views stay on the ad. Use the WhatsApp message button, this pre-filled message: [pre-filled message], and status PAUSED. Run every draft as a preview first and create nothing yet.

Show me a table with these columns: Reel link, media ID, how the ID was found (from the link, from the posts list, or pasted by me), views and likes if returned, ad name (format CLIENT_REEL_DATE), button, pre-filled message. Wait for my approval before you create the ads.

After creation, do these checks while the ads are still paused:
- List the ads in the ad set. Confirm that each new ad is paused and has no delivery issues, and report its ID.
- Read each ad's creative. Confirm that the WhatsApp button and the pre-filled message are there and that the ad is still linked to the original Instagram post.
- If a creative ID is available, render placement previews in INSTAGRAM_REELS and INSTAGRAM_STORY formats and give me the links. Previews can only be rendered once the ads exist, which is why this step comes after creation.

Optimization

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Optimization

Find search terms that waste budget and turn them into negatives

Combines smart negative suggestions with the full search terms report to flag zero-conversion and overpriced terms, then previews a grouped batch of negatives that protects your brand and converting keywords.

Review the search terms in my Google Ads account [account name] for the last 30 days. Use the smart negative keyword suggestions and the full search terms report together. My brand name and its common spellings are: [brand terms].

Flag two groups:
1. Terms that spent more than [spend threshold] with zero conversions.
2. Terms with exactly one conversion where the cost of that term is above 2x my target CPA of [target CPA]. Calculate this yourself from the cost and conversions in the search terms report.

Skip any term the report lists under already_negative, and check my existing negatives (including shared lists) so you never propose a duplicate.

For the matched keyword, query search_term_view with the keyword segment. If that field does not come back for a term, write "not available" instead of guessing.

Give me one table sorted by cost, highest first. Columns: search term, campaign, ad group, matched keyword, clicks, cost, conversions, recommended negative, match type, level (campaign or ad group).

Decision rules:
- Use exact match for one-off variants.
- Use phrase match when the same unwanted word appears in several terms, for example "free", "jobs" or "DIY".
- Pull my converting keywords from the keyword report. Never suggest a negative that would block one of them or any of my brand terms.
- If a term is relevant but simply expensive, list it separately as a bid or ad copy issue, not as a negative.

End with the estimated monthly savings. Use the last 30 days of cost from the terms you would block as the estimate, and say that this is an upper bound. Then show a preview of the negatives you would add, grouped by campaign, as one batch per campaign. Wait for my approval before adding anything.

Optimization

Block searches for places outside your service area

A list of search terms mentioning locations you do not serve, the location setting that lets them in, and a previewed fix for both.

Optimization

Month-end budget pacing check across all client accounts

Runs pacing on every connected client account, compares projected month-end spend with each client's agreed monthly cap, and proposes CPA-ranked daily budget changes within guardrails, approved account by account.

List my connected Google Ads client accounts (include client accounts under my manager account) and run a budget pacing check on each one for the current month, passing each account's id directly. The monthly caps agreed with each client are: [account name: monthly budget list]. Skip any account that is not on this list and tell me which ones you skipped.

For each account, take month-to-date spend per campaign from a campaign-level performance report for this month, and the daily budget and pace from the pacing check. Calculate projected month-end spend as spend to date plus current daily budget times the days remaining. Add the campaigns up to get the account total and compare it with the client's cap.

Deliver one table sorted by risk. Include these columns:
- account
- campaign
- daily budget
- spend to date
- projected month-end spend
- account variance vs the monthly cap, as an amount and as a %
- flag

Use these flag rules, at account level:
- OVER: projected spend is more than 5% above the cap.
- UNDER: projected spend is more than 10% below the cap.
- ON TRACK: everything else.

For every campaign in a flagged account, add month-to-date conversions and cost per conversion. This shows whether the underspend is worth fixing.

Then, for each flagged account, propose new daily budgets based on the days remaining. The goal is to land total spend within ±3% of the cap by month-end. When adding budget, prioritise the campaigns with the lowest cost per conversion. When cutting, start with the highest. Respect the budget guardrails: no single increase above +50%, no more than +100% within 24 hours, no cut deeper than -80%. If the target cannot be reached within those limits, say so and suggest a second step later in the week or a pause instead.

Show the proposal as a before/after table per account, then a preview of the changes. Wait for my approval account by account before changing any budget. Do not touch bidding strategies or targets.

Optimization

Shift budget from rank-limited to budget-limited Search campaigns

A budget-neutral reallocation plan that moves money to Search campaigns losing impression share to budget at an acceptable CPA.

In [client account], analyse all Search campaigns for the last 30 days. Target cost per conversion for this client is [target CPA].

1. Run an impression share analysis. Put each campaign in one bucket: mainly losing to budget, mainly losing to rank, or not limited.
2. Add cost, conversions, cost per conversion and current daily budget for each campaign.

Decision rules:
- A campaign RECEIVES budget only if both are true:
  - search impression share lost to budget is above 10%
  - cost per conversion is at or below target
- A campaign DONATES budget if either is true:
  - it spends less than 85% of its daily budget
  - its cost per conversion is more than 30% above target
- Rank-limited campaigns get no extra budget. List them separately. Use keyword Quality Score data to say whether the main fix is bids or Quality Score.

Deliver:
- a table of all campaigns with bucket, metrics and verdict (receive / donate / hold)
- a reallocation plan that keeps total daily budget unchanged, with no single campaign changed by more than 30%

Show the before/after budgets. Wait for my approval before applying any change.

Optimization

Target CPA readiness check before switching a campaign's bidding

A go/no-go checklist with evidence and a safe starting target before moving a Google Ads campaign to Target CPA.

I want to move campaign [campaign name] in [client account] to Target CPA. Check whether it is ready before anything changes.

Run these five checks:

1. Volume. Count conversions in the last 30 days at campaign level.
   - 30 or more: ready for Target CPA.
   - 15 to 29: recommend Maximize Conversions without a target first.
   - Under 15: no change.
2. Tracking health. If any primary conversion action is paused, removed or recorded zero conversions in the last 30 days, verdict is NO-GO.
3. Goals. List which conversion categories are primary.
   - Flag any micro-conversion (page view, scroll, click) that is feeding bidding.
   - Show the counting type. For lead generation it should be "One".
4. Stability. Using change history, list budget, bid, keyword or ad changes made to this campaign in the last 14 days.
5. Starting target. Use the actual 30-day cost per conversion, rounded up. Never set it lower than actual.

Deliver a checklist with a pass/fail result and the evidence for each item. Finish with a one-line verdict: GO, GO with Maximize Conversions first, or NO-GO, plus the reason.

If the verdict is GO, preview the bidding strategy change. Wait for my approval before applying it.

Optimization

Meta ad set budget scaling and cutting with a 20% step rule

A rule-based budget plan for Meta ad sets that scales winners and trims losers without resetting learning.

In Meta ad account [ad account], review every active ad set in conversion-objective campaigns. Target cost per result is [target cost per result].

For each ad set, show:
- where the budget is set (ad set, or campaign with Advantage campaign budget)
- daily budget
- spend, results, cost per result and frequency for the last 7 days
- the same metrics for the last 30 days

Decision rules:
- SCALE (+20%, never more in one step): 7-day cost per result is at or below 80% of target, with at least 10 results in 7 days.
- CUT (-25%): both 7-day and 30-day cost per result are more than 130% of target.
- REFRESH CREATIVE (no budget change): 7-day frequency is above 3.5 and cost per result is rising.
- HOLD: everything else, plus any ad set with fewer than 5 results in 7 days.

Check the change history. Exclude anything whose budget or targeting was edited in the last 72 hours.

If the budget sits at campaign level, propose the change on the campaign instead of the ad sets.

Deliver a table with metrics, decision and proposed budget. Wait for my approval before updating anything.

Ad copy and creative

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Ad copy and creative

Find weak RSA headlines and descriptions and replace them in place

A per-asset performance table with clear weak-asset flags and two tested-angle replacements for each, applied only after approval.

Ad copy and creative

Check message match between RSAs and WordPress landing pages

Reads every enabled RSA in a campaign, matches each final URL to its WordPress page (Elementor included) and rates whether the page repeats the ad's keyword, offer and CTA. Proposes the smallest fix and applies nothing without approval.

Check whether my ads and landing pages say the same thing. Google Ads account: [account]. WordPress site: [site].

Step 1: Ads
List the ad groups in campaign [campaign] and read every enabled RSA with its headlines, descriptions and final URL.

Step 2: Find each page
- Strip tracking parameters from each final URL and match it to a page or post on [site] by its slug.
- If a URL is not on [site], or matches more than one page, list it and ask me instead of guessing.

Step 3: Read each page
- First check how the page is built. On an Elementor page the visible headings and buttons live in the page design data, so read them there. On other pages, read the full content.
- Pull: the H1 heading, the first paragraph, the main offer or first button text, and the meta title from the SEO fields.
- You cannot see the rendered page. Treat the H1, the first paragraph and the first button in page order as the "first screen." Say so when the order is unclear, for example when a slider shortcode sits at the top.

Step 4: Rate each ad and page pair
Does the page repeat the ad's main keyword, offer and call to action on the first screen?

Show a table with these columns:
- ad group
- final URL
- page builder
- what the ad promises
- what the page says
- match (good, partial or missing)

Step 5: Fixes
For every partial or missing match, suggest one fix: either a headline edit in the ad or a heading edit on the page, whichever is the smaller change. Headlines must stay within 30 characters. Show the character count.

Preview the ad edits and the page edits separately:
- Ad edits: run each RSA change as a preview first, keeping every other headline, description and pin as it is.
- Page edits: the WordPress tools have no dry run, so show me the exact current text, the proposed text and the element or field you will change.

Do not apply anything until I confirm. After I approve:
- Apply the approved RSA edits. Note that edited ads go back through Google review.
- Apply the approved page edits, then purge the site cache (and regenerate Elementor CSS on Elementor pages).
- Confirm each change landed. Remind me that Elementor edits can be rolled back to the previous version and other edits are kept as WordPress revisions.

Ad copy and creative

Rewrite RSA headlines that caused disapprovals or limited serving

Lists disapproved and limited RSAs with Google's policy reason and evidence, rewrites only the assets Google flags, and edits the existing ad after a before and after preview. Flags issues that text changes cannot fix.

Some of my ads are disapproved or limited.

List every responsive search ad in [account] that is disapproved or "Eligible (limited)." For each one, show:
- campaign, ad group and ad ID
- the policy topic and its type
- the exact headline or description that triggered it, from Google's evidence
- the countries it is limited in, if Google reports that

Read each ad's full copy, including pins, so you can match the evidence to specific assets.

Explain each reason in plain language. Examples include trademark use, excessive capitalization, unproven claims like "best" or "No. 1," symbols or punctuation, and restricted categories such as health or finance.

Rewrite only the offending assets:
- Rewrite an asset only when Google's evidence points to it. If Google gives no detail for a topic, do not rewrite anything for that ad. Instead, list the assets you suspect and why, and ask me.
- Keep the same meaning but make it comply.
- Headlines can be up to 30 characters and descriptions up to 90. Show the character count for each.
- Edit the existing ad rather than creating a new one, so its history is kept. Leave every other asset and pin as it is.

Some problems cannot be fixed by rewriting text. Examples are a trademark that needs authorization, a missing certification, or an issue on the landing page such as a broken destination. For those, tell me what I need to do instead.

Show a before and after preview for each ad and wait for my approval before changing anything. Remind me that an edited ad goes back into review.

Ad copy and creative

Meta creative fatigue check with copy-only replacement creatives

A list of fatigued Meta ads by frequency, CTR and cost thresholds, with two replacement copy versions for each and a safe in-place swap after approval.

Run a creative fatigue check on Meta ad account [account]. Compare the last 28 days with the previous 28 days at ad level using spend, impressions, frequency, link CTR, CPM, results and cost per result.

Flag an ad as fatigued only when all three conditions hold:
- frequency is above 3.0
- link CTR is down at least 25% versus the prior period
- cost per result is up at least 20%

Skip ads that spent less than [minimum spend] in the last 28 days.

Deliver:
1. A table of fatigued ads with these columns: ad name, ad set, days running, frequency, CTR change, cost per result change.
2. For each fatigued ad, read the current creative (headline, primary text, description, CTA, destination link). Write 2 replacement versions that keep the same offer, image or video and link, and change the hook and the first line of the primary text.
3. For the versions I approve, prepare an in-place creative swap so each ad keeps its ID, learning and history.

Render a preview of every new creative first. Wait for my explicit confirmation before applying any change.

Ad copy and creative

Which messaging angles win on Meta: 90-day angle analysis

Pulls 90 days of ad-level Meta results, reads the creative of the ads that spent enough, tags each by angle, hook, format and CTA in a reviewable sheet, and ranks angles by spend-weighted cost per result. Ends with six new copy variations.

Analyze the last 90 days of Meta ads in [account] and tell me which messaging angles actually drive results. Count [result action, e.g. lead, purchase] as the result.

Data to pull:
- Ad-level spend, impressions, results, cost per result and link CTR for the last 90 days.
- For video ads, ThruPlays divided by impressions.
- Include only ads that spent at least [minimum spend].
- If more than [40] ads qualify, read creatives for the [40] with the highest spend and tell me how many you left out and how much spend they cover.
- Read the full creative of each included ad: primary text, headline, format and button.

Tag every ad on four dimensions:
- Angle: price/value, pain point, social proof, outcome, urgency or product feature.
- Hook type of the first line: question, statistic, bold claim or direct callout.
- Format: image, video or carousel.
- CTA.

Angle tagging is a judgement call. Show the tag sheet first: ad ID, ad name, first line of the primary text and the four tags. Mark tags you are unsure about with "?". Then continue with the analysis. If I correct any tags afterwards, recompute.

Deliver:
1. A table per angle with these columns: number of ads, total spend, spend-weighted cost per result, average link CTR.
2. The top 3 and bottom 3 angles, each with the single strongest ad as an example and one sentence on why it likely worked or failed. Flag any angle that rests on fewer than 3 ads as low confidence.
3. Six new copy variations built on the top 2 angles. Each one gets a primary text with the hook in the first 125 characters, a headline under 40 characters and a CTA. Each variation tests a different hook type.

This is analysis and drafting only. Do not create, pause or edit any ads.

Ad copy and creative

Turn converting Google RSA headlines into Meta ad variations

Ranks the RSA headlines and descriptions that convert in a chosen Google campaign, adapts the best into 4 Meta variations that avoid messages already running, creates them paused after approval, renders Feed and Reels previews and removes the ones you reject.

Reuse the Google Ads messages that already convert for [client] on Meta. Google Ads account: [Google Ads account], campaign: [Google campaign]. Meta ad account: [Meta ad account], ad set: [ad set].

1. Pull the RSA asset report for [Google campaign] for the last 90 days. Keep headlines and descriptions with at least [minimum impressions, e.g. 1,000] impressions. Rank them by conversion rate, with CTR as the tiebreaker, and show the top 10 in a table with impressions, clicks, conversions and cost per conversion. If fewer than 5 assets pass the threshold, tell me and suggest a lower one before going on.
2. Read the active ads in [ad set] and their creatives so you do not duplicate messages already running there. Note the Facebook Page, the image and the button they use. If the ad set runs video rather than image ads, stop and ask me how to proceed.
3. Write 4 Meta variations from the top assets. Each one needs primary text, headline and CTA button. Adapt, do not paste: a search headline answers a query someone typed, while Meta copy has to stop a scroll. Open with the problem or outcome, then bring in the proven phrase. Keep every claim identical to what the Google ad says. Add no new discounts or numbers.
4. Use [landing page URL] as the destination, the same Facebook Page, and the image the ad set already uses. Reuse its image hash if the creative returns one, otherwise upload that image once and reuse the hash for all 4.

Show me the 4 variations as a text preview first. Meta can only render a visual preview of a creative that exists, so after I approve the text, create the approved variations as new ads in [ad set], in paused status. Nothing spends while they are paused.

Then render Feed and Reels previews of each new ad and show me the links. For any version I reject after seeing the preview, preview its deletion and delete it only after I confirm. Leave the ones I keep paused. Do not change any existing ad.

SEO and content

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SEO and content

Build intent-based keyword clusters from a few seed keywords

A ranked list of keyword clusters with volume, difficulty and the right page type or ad group for each.

I sell [product or service] in [city or country]. Start from these seed keywords: [3 to 5 seed keywords].

First check seo_history so you reuse earlier results instead of paying for the same query twice. Then use Keyword Planner and SEO keyword research to collect ideas with average monthly searches, competition and keyword difficulty.

Clean the list:
- remove keywords under 30 monthly searches
- remove job, free, DIY, course and competitor-brand terms unless they clearly fit my business
- merge close variants and plurals

Cluster the rest by search intent, with one cluster per distinct need a searcher has. For each cluster give:
- cluster name and head keyword
- 5 to 10 supporting keywords
- combined monthly volume and average difficulty
- intent: informational, commercial or transactional
- best use: service page, blog post or a Google Ads ad group

Rank the clusters by volume and fit for a small business with a limited budget. Mark the top 3 to start with and explain why in one line each.

SEO and content

Turn search terms that convert in ads into organic content clusters

Uses 90 days of converting Google Ads and Microsoft Ads search terms to find topics where you pay for conversions but have weak or no organic visibility. Returns a prioritized content plan and a preview-only list of keyword additions.

I want to use my ad data to decide what to write about. Use the last 90 days on every source.

1. Pull my Google Ads search terms for the last 90 days (days=90, or an explicit start and end date), sorted by conversions. Keep only terms with at least 1 conversion. If the response is truncated, page through until you have every converting term.
2. If Microsoft Ads is connected, find the default account and pull its search terms for the same 90 days. Keep only terms with at least 1 conversion and add them to the pool, marking which platform each term came from.
3. Group all converting terms into topic clusters by search intent. For each cluster show total cost, conversions and cost per conversion, split by platform where both are present.
4. Find my Search Console property (use [site property] if I named one) and pull organic data for the last 90 days with dimension query, plus a page,query pull so you can see which page ranks for each query. Use a high enough limit to cover the long tail.
5. Match each cluster to the Search Console queries that express the same intent. Use your judgement for close variants and wording differences, and say which queries you counted. Report organic clicks, impressions and average position per cluster, and the page that ranks best for it if there is one.

Classify each cluster:
- Content gap: converts in ads, organic average position worse than 10 or no organic impressions. I should build a page.
- Improve: converts in ads, organic position 4 to 10. Name the existing page that needs strengthening.
- Covered: organic position 1 to 3. Note it as a possible place to test lower ad spend later.

Deliver a table sorted by ad conversions, then the top 5 content-gap clusters with a suggested page title and URL slug for each.

Separately, list my Google Ads keywords (list_entities, entity keywords) and show converting Google search terms that are not yet keywords in the account. For Microsoft terms, just flag them; do not check or change Microsoft keywords. Do not add anything. If you think some Google terms should be added as exact match, tell me which ad group each one belongs in and run add_keywords with confirm=false so I see the exact preview. Wait for my approval before applying.

SEO and content

Cluster the searches that find my Business Profile and fix my services

Clusters of the real Google Search and Maps queries behind your listing, compared with your services and categories, plus a previewed fix.

For my Business Profile location [location name], pull the search terms people used on Google Search and Maps to find the listing over the last 3 months.

Cluster the terms into:
- brand searches
- service searches, with one cluster per service
- "near me" and neighborhood or district searches
- problem-based searches, such as a symptom or an issue the customer has

For each cluster show total impressions and the top 5 terms.

Then read my listing details: primary and additional categories, and the services list. Compare them with the clusters and tell me:
- service clusters with real demand that are missing from my services list
- services I list that get almost no searches
- whether an additional category would match a strong cluster. Search the category names to confirm they exist.

Draft the new service entries, with a name and a description of up to 300 characters for each, written around the words people actually search.

Show me the exact changes as a preview first. Do not update the listing until I approve.

SEO and content

Build a seasonal content and ad calendar from keyword demand

A 12-month calendar showing when each keyword cluster peaks, when to publish content and when to raise or lower ad budgets.

SEO and content

Rewrite meta titles for high-impression, low-CTR pages

A previewed set of new titles and descriptions for the 10 pages that waste the most first-page impressions.

Use Search Console property [client property] for the last 28 days. Find pages with at least 1,000 impressions, an average position of 1 to 10 and a CTR below 2%. Keep the 10 pages with the most impressions.

For each page, pull the top 3 queries by impressions. Then read its current meta title and description on WordPress site [WordPress site].

Deliver one table with these columns:
- URL, impressions, CTR, position, top queries
- current title and current description
- proposed title (max 60 characters, main query near the start)
- proposed description (max 155 characters, one concrete benefit or proof point, no clickbait)

Flag any page where the top query does not match the page's intent. Those pages need a content fix, not a new title.

Do not change anything yet. Show me a preview of every SEO field change and wait for my approval page by page. After I approve and the changes are applied, purge the cache. Then list the changed URLs with today's date so I can run a 28-day before/after CTR check.

SEO and content

Sitemap health check across all client properties

One agency-wide table of every property's sitemaps with errors, stale submissions and missing sitemaps flagged.

Website

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Website

Rewrite meta titles and descriptions for pages with low organic CTR

Finds page-one pages that get impressions but few clicks, compares them to your site-wide CTR, and rewrites their meta title and description around the queries that actually bring them traffic.

Use Search Console property [Search Console property] and WordPress site [WordPress site].

Step 1. Baseline. Pull the last 90 days with dimension "date" and add up total clicks and total impressions. Site average CTR = total clicks / total impressions. Show this number first.

Step 2. Candidates. Pull the last 90 days by page, sorted by impressions. Keep pages with at least 500 impressions, an average position between 1 and 10, and a CTR below 2%. Take the top 10 by impressions.

Step 3. For each of those 10 pages:
- Pull the queries for that page only (dimension "query", filtered to the page URL, sorted by impressions) and keep the top 5.
- Find the matching WordPress post or page ID by searching for its slug. If a URL has no clear match (archive, category, home page), mark it and move on.
- Read its current meta title and meta description from the SEO plugin.

Skip any page whose current title already contains its main query AND whose CTR is within 20% of the site average from Step 1. Say why you skipped it.

Deliver a table with these columns: URL, post ID, impressions, CTR, position, main queries, current title, current description, proposed title, proposed description.
- Proposed title: max 60 characters, main query near the start.
- Proposed description: max 155 characters, one concrete benefit and a call to action.
- Use only facts that are on the page. Do not invent prices, guarantees or numbers.

This table is the preview. Do not write any SEO field until I approve. After I approve, write only the approved rows (overwrite the existing values only for those rows), then purge the cache so the new tags go live, and read the SEO fields back for each changed page to confirm they landed.

Website

Rebuild the site menu around pages that actually convert

Matches GA4 landing-page performance against your WordPress menus, flags valuable pages missing from the navbar, dead weight and broken links, and proposes a leaner main menu.

Compare my navigation menu with what actually converts.

From GA4 property [GA4 property], pull the last 90 days by landing page: sessions and key events. Calculate key event rate as key events / sessions.

Then read every menu on [WordPress site], including the main navbar and the footer, with all their links.

Match menu links to GA4 rows by URL path (ignore the domain, trailing slashes and query strings). Where a link has no GA4 row, treat it as zero sessions and say so.

Check every menu link for problems:
- Fetch each linked URL and record its HTTP status. Anything 4xx or 5xx is broken; redirects are worth noting.
- Flag links that point to draft or private pages, to old slugs, or to http instead of https.

Deliver three lists:
1. Pages with at least 20 key events that are not in the main menu.
2. Menu links pointing to pages with fewer than 50 sessions or zero key events in 90 days.
3. Broken or outdated links, with the reason for each.

Then propose a new main menu:
- Max 7 top-level items, ordered by commercial importance.
- Exact labels of 2 to 3 words, in plain language a customer would use.
- The contact page stays as the last item.
- Move low-value pages to the footer menu instead of deleting them.

Show the current menu and the proposed menu side by side, with the exact list of menu actions you would run (add, rename, relink, reorder, remove), as a preview. Do not edit anything until I approve. After approval, apply the changes, purge the cache and read the menus back to confirm the final structure.

Website

Plugin and tracking health check before it breaks your conversions

A plugin-by-plugin action list that flags outdated, duplicate and conflicting plugins and double-firing tags.

Website

Replace an old phone number everywhere on the site, safely

A full map of where the old number appears, a dry-run diff of the bulk replace, and a list of places that need manual fixes.

Website

Check that your money pages are indexed and canonicals are correct

Batch-inspects your key WordPress pages in Search Console, compares Google's canonical with the one set in your SEO plugin, flags noindex and sitemap problems, and prepares fixes for your approval.

Check whether Google has indexed my most important pages on [WordPress site]. The Search Console property is [Search Console property].

These are the pages I use as ad landing pages: [paste your ad landing page URLs, or write "none"]

1. List the published pages and posts on the WordPress site so you have each URL and its post ID.
2. Pull Search Console page data for the last 90 days, sorted by impressions.
3. Pick up to 50 key URLs: service pages, product categories, the contact page, the ad landing pages I listed above, and the pages with the most impressions. Show me the list before you inspect.
4. Inspect them with the batch URL inspection, 20 URLs per call (so up to 3 calls). If you hit the Google quota, stop, tell me which URLs are still unchecked, and continue later.
5. For each URL, report: index verdict and coverage state, last crawl date, Google-selected canonical, and indexing or robots state.
6. Sitemap check: list the submitted sitemaps and their status (errors, warnings, pending). Then use each URL's coverage state to spot sitemap gaps. A state like "Indexed, not submitted in sitemap" or "URL is unknown to Google" means the page is likely missing from the sitemap. Treat this as a strong signal, not proof.
7. For every problem page, read its SEO fields in WordPress: meta title, canonical, focus keyword and noindex. Compare the declared canonical with Google's choice. If a single URL needs more detail (mobile usability, rich results, the user-declared canonical as Google sees it), run a single URL inspection on it.

Deliver a table sorted by severity, in this order: not indexed, canonical mismatch, noindex, likely missing from sitemap. For each row, give the likely cause and the exact fix.

If a WordPress canonical points to the wrong URL, or a page that should rank is set to noindex, show me the exact field, the current value and the new value, and wait for my approval before setting it. Do not resubmit any sitemap without asking me first. Remember that no tool can press "Request Indexing", so for pages that need a recrawl, list them so I can request it by hand in Search Console (about 10 a day).

Website

Rank Google Ads landing pages by spend and Core Web Vitals

A spend-weighted table of your paid landing pages with LCP, INP and CLS, showing which slow pages to fix first.

Strategy

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Strategy

Shift budget between Google Ads and Meta based on 30-day CPA

A single campaign table across Google Ads and Meta and a line-by-line budget reallocation plan built on a clear CPA rule.

Compare my Google Ads and Meta campaigns over the last 30 days and tell me where my budget should move. My monthly ad budget is [monthly budget] and my target cost per conversion is [target CPA].

1. For every active campaign on both platforms, pull spend, conversions, cost per conversion, conversion rate and current daily budget. Use the same date range for both platforms.
2. Build one table sorted by cost per conversion. Include each campaign's share of total spend and its share of total conversions.
3. Mark any campaign with fewer than 10 conversions as "low confidence" and do not move its budget yet.
4. For Google Search campaigns, add impression share lost to budget.

Decision rule:
- A campaign with at least 10 conversions and a CPA more than 30% above target loses budget.
- A campaign below target CPA that loses more than 20% impression share to budget, or is a Meta ad set spending its full budget, gains budget.
- Never change any single budget by more than 20% in one step.

Deliver a reallocation table with these columns: campaign, platform, current daily budget, proposed daily budget, reason. Do not change anything yet. I will mark which lines I accept. Then show me a preview of those exact changes and wait for my confirmation before you apply them.

Strategy

Month-end pacing check across Google Ads and Meta

A projection of total month-end spend against your monthly budget, plus a previewed rebalance that lands total spend within 5% of target.

I have a fixed monthly ad budget of [monthly budget] split across Google Ads and Meta. Check whether I will land on it this month.

1. Run budget pacing for Google Ads. Note which campaigns will overspend and which will underspend by month-end.
2. Pull Meta spend month-to-date for each campaign and ad set, along with their current daily budgets. Project month-end spend at the current daily rate.
3. Show one table with these columns: campaign/ad set, platform, spend so far, projected month-end spend, current daily budget, cost per conversion this month. Add the projected combined total versus my budget.

If the projected total is off by more than 5%, propose new daily budgets for the remaining days that bring it back within 5%. Follow these rules when you rebalance:
- Take money first from campaigns whose cost per conversion is above [target CPA].
- Add money first to campaigns with the lowest cost per conversion that are not already spending their full budget.
- Do not cut any campaign by more than 30%.

List each proposed change with the old value, the new value and the reason. Preview all changes and wait for my approval before applying anything.

Strategy

Check that conversions are comparable before moving budget between channels

A trust table that compares platform-reported conversions to GA4 and shows each channel's comparable cost per conversion.

Before I move any money between Google Ads and Meta, I need to know whether their conversion numbers can be compared at all. Use the last 30 days.

1. Google Ads: audit conversion tracking health. List the primary conversion actions with their counting type (every or one), click-through and view-through lookback windows, and attribution model.
2. Meta: list the pixels with their last fired time, the custom conversions, and the conversion events my campaigns optimize for. Note that Meta's default attribution includes view-through conversions.
3. GA4: pull key events by session source/medium for the same 30 days. Confirm which key events correspond to the platform conversions.
4. Build a table per channel with these columns: platform-reported conversions, GA4 key events from that channel, ratio, spend, platform CPA, GA4-based CPA.

Flag every issue that inflates or hides results:
- Counting set to "every" on lead actions.
- Duplicate or secondary actions being counted.
- A pixel that has not fired in 24 hours.
- A platform-to-GA4 ratio above 1.5.

Finish with a clear answer: which CPA should I use to compare channels, and what must be fixed first. Do not change any setting. If a fix is needed, describe it and I will ask for a preview separately.

Strategy

New client onboarding: one-page competitive landscape brief

A one-page brief mapping who advertises in the client's market, where, with what message, and where the client stands today.

We are onboarding [client name] (domain [client domain], Google Ads account [account]). Build a competitive landscape brief before our kickoff call.

1. Get an account snapshot so we know current spend, conversions and active campaign types.
2. Run a live SERP analysis for the client's 5 most important commercial queries: [5 core queries]. Record which domains show in paid positions and which show in the top 5 organic results.
3. Take the 4 domains that appear most often in paid positions. For each one, pull its paid keyword footprint (keyword count and estimated paid traffic) and its live ads from public ad libraries.
4. Run a keyword gap between the client domain and those 4 competitors.

Deliverable, one page:
- competitor table with these columns: domain, paid presence (queries appeared on out of 5), organic presence, estimated paid keyword count, channels with live ads, main message
- where the client is stronger, where it is weaker and where it is absent
- 5 prioritized questions to ask the client at kickoff, such as margins, which competitor they lose deals to, and which offers they can legally match

Read-only. No changes to the account.

Strategy

Rewrite weak RSA assets to stand out from competitor ads

Compares your responsive search ad copy with competitors' live ads, flags generic or low-CTR assets, and prepares in-place rewrites built on verified facts. Nothing changes until you approve the preview.

In Google Ads account [account], campaign [campaign name], I want our responsive search ads to stop sounding like the competition.

Facts you may use about [client name] (only these, plus anything you can read on our live landing page): [paste real numbers, guarantees, process details, certifications, review counts].

1. Find the campaign and its ad groups and ads with their IDs.
2. Pull the live Google ads of [competitor domains, up to 4] from the Ads Transparency Center, region [country]. List the claims and phrases that recur across them, such as "fast delivery", "best price" or "trusted by X". If a competitor returns no ads, say so and continue with the others.
3. Read our RSAs in this campaign: every headline and description, final URL, Ad Strength and Google's action items. Then pull asset-level performance for the last 60 days, with a 1,000-impression minimum.
4. Read the final URL of each ad as a live page and note any concrete facts it states (numbers, guarantees, delivery times, proof points). Use these together with the facts I pasted above.
5. Flag our headlines and descriptions that either (a) repeat a recurring competitor claim almost word for word, or (b) are in the bottom third by CTR among assets with 1,000+ impressions. If fewer than 6 assets clear 1,000 impressions, use lifetime figures instead and mark the result as low confidence.

For each flagged asset, write one replacement built on a specific fact from my list or the landing page: a number, guarantee, process detail or proof point that competitors do not mention. Never invent a claim. If no fact fits, write "needs a fact from you" instead of a replacement. Keep headlines to 30 characters and descriptions to 90. Keep at least 3 headlines that contain the main keyword.

Pins: if the ad details show which assets are pinned, leave pinned assets untouched. If pin status is not visible in the data, list the assets you plan to change and ask me which of them are pinned before preparing edits.

Show a before/after table per ad with the reason for each swap and the source of the fact used. Then prepare the edits with the partial in-place RSA update (remove and add only the flagged assets) so performance history is kept. Run it as a preview with confirm=false and wait for my approval before applying anything.

Strategy

Meta ad set funnel breakdown: creative, page, offer or checkout?

Each Meta ad set gets a diagnosis of the funnel step where it loses buyers, based on clear rate thresholds.