Cross-platform — All MCPs
The most powerful prompts in the library. Combine SealMetrics with two or more platform MCPs (Google Ads, Meta Ads, GSC) to triangulate truth, expose waste, and reallocate budget.
MCPs required: SealMetrics MCP + at least 2 of: Google Ads MCP, Meta Ads MCP, GSC MCP
SEAL-125 — Triangulation per top landing
You have access to: SealMetrics MCP for site {site_id}, Google Ads MCP for {google_ads_account}, Meta Ads MCP for {meta_account}, GSC MCP for {gsc_property}.
For the top 30 landing pages by total entrances last 30 days, build a triangulation table:
- URL
- Google Ads spend sending traffic to that URL
- Meta Ads spend sending traffic to that URL
- GSC organic clicks landing on that URL
- Real conversions and revenue (SealMetrics)
- Blended ROAS = revenue_sealmetrics / (spend_google + spend_meta)
- Organic contribution = organic_clicks × site_median_organic_CR × AOV
Rank by blended ROAS desc. Highlight the 5 highest blended ROAS landings (winners) and the 5 lowest (waste candidates).
SEAL-126 — Channel cannibalization on shared landings
Using SealMetrics MCP for site {site_id}, Google Ads MCP {google_ads_account}, Meta Ads MCP {meta_account}, and GSC MCP {gsc_property}:
Find landing pages receiving traffic from all four sources simultaneously (Google Ads, Meta Ads, organic GSC, direct).
For each: split conversions and revenue by channel. Compute share of conversions per channel.
Identify pages where paid (Google + Meta) accounts for most spend but conversions skew heavily to organic / direct — likely cannibalization. For those, recommend pausing paid and reallocating budget elsewhere.
Output: top 20 cannibalization candidates with estimated savings.
SEAL-127 — Total waste audit
For site {site_id}: SealMetrics MCP. For paid: Google Ads MCP {google_ads_account} and Meta Ads MCP {meta_account}.
Last 30 days:
- Total spend Google Ads + Meta Ads
- Total real conversions and revenue from SealMetrics matching those paid sources
- % of paid spend that resulted in zero conversions (campaigns with spend > 0 and SealMetrics conversions = 0)
- % of paid spend that resulted in conversions below break-even ROAS = {breakeven_roas}
Output: 1 summary table with absolute and % values. End with a "first 10 campaigns to pause" list ordered by absolute waste.
SEAL-128 — Top products: best channel per ROAS
Using SealMetrics MCP for site {site_id}, Google Ads MCP {google_ads_account}, Meta Ads MCP {meta_account}, GSC MCP {gsc_property}:
For the top 10 products / SKUs by revenue last 60 days:
- Per channel (Google Ads, Meta Ads, organic GSC, direct), real revenue from SealMetrics conversion_items mapped to that channel
- Spend per channel where applicable
- Real ROAS per channel
Per product, indicate the best-performing channel and the worst. End with 3 reallocation recommendations (which products to push more on which channel).
SEAL-129 — Severe ROAS discrepancy
For site {site_id} (SealMetrics MCP), Google Ads {google_ads_account}, Meta Ads {meta_account}:
Per campaign, last 30 days:
- ROAS reported by the platform (Google or Meta)
- ROAS computed from SealMetrics revenue
- Delta
Highlight campaigns where the platform reports ROAS > 3 but SealMetrics computes ROAS < 1.5. Those are severely overstated.
Output: ranked by absolute spend wasted (= spend × (ROAS_platform - ROAS_real) / ROAS_platform). End with a 3-bullet recommendation: revisit conversion setup, switch optimization mode, or pause.
SEAL-130 — Incrementality test design (Google Ads pause)
Using SealMetrics MCP for site {site_id}, Google Ads MCP {google_ads_account}, GSC MCP {gsc_property}:
I am about to pause campaign {campaign_name} for 7 days as an incrementality test. Before pausing:
- Pull baseline: organic + direct conversions for the targeted geos / queries last 14 days.
- Identify expected organic / direct lift if paid is truly cannibalizing.
- Suggest control geos / queries that should NOT be affected so I can compare.
After 7 days, I will rerun this prompt asking you to compare actual organic / direct lift vs baseline. Output the test plan now.
SEAL-131 — Cross-channel executive report
For site {site_id} (SealMetrics MCP), Google Ads MCP {google_ads_account}, Meta Ads MCP {meta_account}, GSC MCP {gsc_property}:
Build a monthly executive report comparing:
- Real revenue from SealMetrics (the truth)
- Sum of revenue reported by Google Ads + Meta Ads (the platforms)
- Organic-attributed revenue from GSC clicks × site_organic_CR × AOV
Compute the delta and indicate where the gap is concentrated (which channel overstates the most, which under-credits organic).
Output: 1 summary paragraph + 3 bullet insights for the C-level. Tone: factual, no hedging.
SEAL-132 — Budget reallocation recommendation
Using SealMetrics MCP for site {site_id}, Google Ads MCP {google_ads_account}, Meta Ads MCP {meta_account}:
Given my current spend ({google_spend}€/month on Google Ads, {meta_spend}€/month on Meta Ads) and the real ROAS per campaign from SealMetrics, recommend how to redistribute a hypothetical extra {extra_budget}€ to maximize incremental real revenue.
Rules:
- Do not increase spend on campaigns with real ROAS < 2.
- Cap any single campaign at 30% growth to avoid saturation.
- Reserve 10% for testing 2 new campaigns ideas (you suggest the targeting based on top-performing audiences/segments).
Output: a reallocation table with current spend, recommended spend, expected real revenue lift per campaign.
SEAL-133 — Paid keywords cannibalizing organic
For site {site_id} (SealMetrics MCP), Google Ads {google_ads_account} (Google Ads MCP), GSC {gsc_property} (GSC MCP):
Find every keyword where I rank organically in positions 1-3 AND I currently pay for Google Ads to bid on it.
Per keyword: organic clicks, paid clicks, paid spend, total conversions in SealMetrics, % attributed to paid vs organic.
Estimate annual savings if I pause paid bidding on those keywords (assume 80% of paid clicks would have come organically anyway, conservatively). Output ranked savings list.
SEAL-134 — Cross-platform alert
Using SealMetrics MCP for site {site_id}, Google Ads MCP {google_ads_account}, Meta Ads MCP {meta_account}:
Compare last 7 days vs prior 7 days:
- Total paid spend (Google + Meta)
- Real revenue from SealMetrics
- Real blended ROAS
If paid spend grew more than 20% and real revenue grew less than 5%, trigger an alert.
Alert payload: % spend delta, % revenue delta, blended ROAS delta, which campaigns drove the spend growth, which campaigns failed to convert. End with a 3-bullet "what to pause first" recommendation.
SEAL-135 — Master landing scorecard
Using all available MCPs (SealMetrics for {site_id}, Google Ads {google_ads_account}, Meta Ads {meta_account}, GSC {gsc_property}):
For the top 50 landing pages by total entrances last 60 days, build a master scorecard with columns:
- URL
- Total entrances (SealMetrics)
- Organic clicks (GSC) and average position
- Google Ads spend and clicks
- Meta Ads spend and clicks
- Direct entrances (SealMetrics)
- Real conversions and revenue (SealMetrics)
- Blended ROAS
- A 1-line "verdict" (scale, fix, pause, deindex, ignore) with reasoning
Rank by potential lift = (site_median_CR − landing_CR) × entrances × AOV. The top 5 deserve immediate optimization sprints.
SEAL-136 — Weekly CMO cross-platform digest
For site {site_id} with all MCPs connected, every Monday:
Build a weekly digest covering last full week:
1. Total paid spend (Google + Meta), week vs prior week.
2. Real revenue (SealMetrics), week vs prior week.
3. Blended ROAS, week vs prior week.
4. Organic clicks (GSC), week vs prior week.
5. Top 3 cross-channel opportunities (e.g. underspent winners, overspent losers, organic queries to amplify with content).
6. Top 3 risks (creative fatigue, ranking drops, channel decay).
Format: clean markdown email, English, max 350 words. End with one strict priority for the team this week.