Shopping Feed Optimizer
Parse, research, segment, and rewrite product feeds with DataForSEO keyword research, funnel-layer segmentation, and 32-column canonical CSV output.
Run a funnel-aware PMax and Shopping audit across feed quality, asset groups, signals, and segment density.
Performance is soft and spend is leaking across multiple funnel layers. This agent runs a deep diagnostic of funnel structure (BOFU/MOFU/TOFU), feed quality against 152-point standards, asset group signals, segment density, and competitive keyword gaps — then produces a ranked optimization backlog.
Quick start
Run a full PMax diagnosticRank my next 10 optimizationsRun a funnel-layer audit with deployment readinessPerformance is soft and spend is leaking across multiple funnel layers. This agent runs a deep diagnostic of funnel structure (BOFU/MOFU/TOFU), feed quality against 152-point standards, asset group signals, segment density, and competitive keyword gaps — then produces a ranked optimization backlog.
“I needed 30 responsive search ad variations for a new service line. The search campaign agent generated them in about two minutes — headlines, descriptions, pinning suggestions, all following Google's best practices. Took me longer to review them than it took the agent to write them.”
— Sienna Walsh
Performance Max or Shopping spend is underperforming
Need one ranked list across feed, asset groups, search cannibalization, and budget allocation
Account-level optimization, not just a feed rewrite
Asset groups need restructuring or signal cleanup
Thin segments fragmenting Smart Bidding signal need consolidation
Not designed for
What you provide
Use Google Ads campaign, asset group, and product group views.
Bring a sample of the feed if titles, segmentation, or attributes are part of the issue.
Search term reports to detect cannibalization, and competitor Shopping title samples for Zone 1 gap analysis.
Scores your PMax and Shopping setup by funnel layer and returns a ranked optimization backlog
What you get back
A structured read of where the account is losing efficiency or missing leverage across feed, signals, structure, and budget deployment.
A ranked change list with impact framing and suggested next workflow.
Use this as the main optimization surface for live PMax and Shopping accounts.
It combines account diagnostics, segmentation review, feed impact analysis, and action prioritization in one place.
Asset group structure, spend breakdown, conversion data, and a feed sample if titles or segmentation might be part of the problem.
PMax structure, Shopping segmentation, asset quality, feed leverage, search cannibalization, audience signals, and measurement risks — nothing gets skipped.
Each item tells you what to change, the expected impact, and which specialist workflow handles the execution.
Campaign, asset group, and product performance from the last 14 to 30 days.
Source: Google Ads account reports
Asset groups, product groups, budget logic, exclusions, and audience signals.
Include this when titles, product segmentation, or Shopping coverage are part of the issue.
CSVA structured read of where the account is losing efficiency or missing leverage across feed, signals, structure, and budget deployment.
A ranked change list with impact framing and suggested next workflow.
Real output formats from actual workflows — structured, scored, and ready to act on.
PMAX_DIAGNOSTIC.md
Performance diagnostic
## System Health Report Feed Quality: 72/100 AI Mode Readiness: 58/100 Shopping Architecture: 81/100 PMax Architecture: 64/100 Creative Quality: 45/100 Bottleneck: Creative asset gaps are capping conversion rate across 3 asset groups. Estimated recovery: $4,200-$6,800/mo
OPTIMIZATION_BACKLOG.csv
Ranked optimization backlog
priority,issue,impact,severity,workflow 1,"Zone 1 keyword gaps — 43% of titles","+18-24% impression share",CRITICAL,Feed Agent 2,"3 asset groups share identical signals","Smart Bidding 3x faster",CRITICAL,PMax 3,"TOFU deployed before BOFU stabilized","$42/day misallocated",HIGH,PMax 4,"Thin segments (<15 products) in 4 groups","Fragmented bidding signal",HIGH,Feed Agent 5,"Missing sitelink extensions on 2 campaigns","+8-12% CTR lift",MEDIUM,Search Agent
DEPLOYMENT_TIMELINE.md
Deployment staging plan
## Phased Rollout Plan Phase 1 — BOFU (Weeks 1-2) Budget: $85/day | Target ROAS: 3.5x Gate: ROAS variance <30% for 14 days Phase 2 — MOFU (Weeks 3-5) Budget: +$35/day | Advancement: BOFU stable Gate: Funnel ratio 2-4x vs direct Phase 3 — TOFU (Weeks 6-8) Budget: +$15/day | Advancement: MOFU CPA <2x BOFU Measurement: 30-day attribution window
Parse, research, segment, and rewrite product feeds with DataForSEO keyword research, funnel-layer segmentation, and 32-column canonical CSV output.
Use next when the audit says the feed itself is the bottleneck.
Research competitors, score differentiation (Blue Ocean 0-100), declare creative pole (Organic vs DR), and produce briefs with UMP/UMS mechanism specificity.
Use next when asset groups need a stronger angle map and creative brief.
Build scored Demand Gen image briefs, YouTube video scripts, and 4-Layer Campaign Architecture from a shared emotional truth foundation.
Use when PMax diagnosis reveals Demand Gen or YouTube creative needs attention.
Get campaign build insights in minutes — structured output you can act on immediately.