Competitor Researcher
Research competitors, score differentiation (Blue Ocean 0-100), declare creative pole (Organic vs DR), and produce briefs with UMP/UMS mechanism specificity.
Build scored Demand Gen image briefs, YouTube video scripts, and 4-Layer Campaign Architecture from a shared emotional truth foundation.
Demand Gen CTR below 0.5% and creative needs a Direct Response overhaul
Launching YouTube Ads and need a validated campaign architecture before spending
Need scored creative briefs with AI image prompts and creative quality validation
Creative fatigue killing ROAS and you need a production + testing system
Want a unified methodology across image and video creative
Not designed for
What you provide
Product name, description (200+ chars), target audience with pain points, price point, AOV, gross margin, and monthly ad budget.
Current Demand Gen or YouTube ad URLs, screenshots, or copy for DR Principle scoring.
YouTube and Demand Gen campaign metrics: CPV, VTR, CTR, ROAS, frequency, and spend by layer or ad group.
What video production resources you have: phone basic, freelancer, in-house team, studio, or AI-only.
Builds scored image briefs, video scripts, and campaign architecture from your product and audience context
What you get back
20-image brief with 4-angle architecture, scored headlines (100-point rubric), AI image prompts, and creative quality validation.
5 YouTube script outlines across formats with DR Principle hooks, Masterson depth scoring, and production notes.
4-Layer structure with budget splits, audience signals, bidding phases, naming conventions, and staging sequence.
10-week plan integrating creative refresh, testing cycles, budget scaling triggers, and fatigue prevention.
Custom intent segments, in-market audiences, placements, and remarketing pools.
One-variable isolation order, test protocol, and graduation thresholds.
Product details, target audience pain points, AOV, margin, monthly budget, and what production capability you have. If you have existing creative, share it for a DR Principle audit.
5-question customer emotion discovery powers everything. Then the image creative pipeline builds scored Demand Gen briefs while the video pipeline builds YouTube campaign architecture.
Scored headline libraries, AI image prompts with creative quality validation, 5 video script outlines, 4-Layer campaign structure, audience signals, and a 10-week scaling calendar.
Real output formats from actual workflows — structured, scored, and ready to act on.
CREATIVE_BRIEF.md
Demand Gen creative brief
## Creative Brief — 20 Images, 4 Angles Angle 1: Problem-Emotional (5 images) Hook: "Your plants are drowning and you don't know it" DR Score: 72/80 | Quality: PASS Top headline: "The Hidden Killer in Every Planter" (89/100) Angle 2: Outcome-Rational (5 images) Hook: "3x survival rate — the test results are in" DR Score: 68/80 | Quality: PASS Top headline: "50 Species. 18 Months. One Winner." (91/100) Angle 3: Problem-Rational (5 images) Hook: "We X-rayed 10 planters. Only 1 drains properly." Angle 4: Outcome-Emotional (5 images) Hook: "The fern I gave up on just bloomed"
VIDEO_SCRIPTS.md
YouTube video script outlines
## Script 1: Mechanism Explainer (90s) [0-5s] HOOK: "Why do 73% of indoor plants die within the first year?" DR Principle: Specificity + Tension [5-25s] PROBLEM: Slow zoom on waterlogged roots. "It's not your watering schedule..." Masterson Depth: Level 3 (mechanism reveal) [25-50s] MECHANISM: Cross-section animation showing drainage grid vs standard holes. [50-75s] PROOF: Split-screen 90-day timelapse. Same plant, same care, different planter. [75-90s] CTA: "See which plants survive →" One action, direct link, no friction.
Demand Gen CTR stuck at 0.2%? YouTube budget burning without a plan? This agent builds scored creative briefs, video scripts across 5 formats, and a complete 4-Layer Campaign Architecture — all from the same emotional truth foundation.
“I've tried a dozen AI ad tools and they all feel like the same generic prompt with a different skin. These agents are clearly built on real frameworks — the outputs reference actual campaign structures, naming conventions, and measurement approaches that match how senior practitioners work.”
— Henrik Nygaard
The AI image prompts are ready for Midjourney, DALL-E, or a human designer. Scored headlines become text overlays.
Script outlines map to phone recording, freelancer briefs, or AI video tools. Each has the 5-Part Structure with timing.
4-Layer structure, naming conventions, audience signals, and bidding phases are ready to implement in Google Ads.
The quality of every deliverable depends on the emotional truth extraction. Invest time answering the 5 questions with specific customer language.
If you have Demand Gen ads running, audit them first. The score gap between your current creative and 60+ shows exactly where to focus.
Start with Layer 1 + Layer 4. Your remarketing pools are empty at launch. Add layers as audience data builds.
CAMPAIGN_ARCHITECTURE.md
4-Layer campaign structure
## 4-Layer YouTube Campaign Architecture Layer 1 — Prospecting (65% budget: $3,250/mo) Audiences: Custom intent + in-market gardening Creative: Mechanism Explainer + Comparison Bidding: Max Conversions → tCPA at 30 conv Layer 2 — Search Capture (20% budget: $1,000/mo) Audiences: In-market + affinity with search retargeting Launch: After 3 months of Layer 1 data Layer 3 — Retargeting (10% budget: $500/mo) Audiences: Website visitors + video viewers 50%+ Launch: After 3 weeks Layer 4 — Testing Lab (5% budget: $250/mo) Purpose: New creative, formats, audiences Graduation: 1.8x+ ROAS → promote to Layer 1
SCALING_CALENDAR.md
10-week scaling calendar
## 10-Week Scaling Calendar Week 1-2: Launch Layer 1 + Layer 4 Creative: 5 images + 2 videos Budget: $3,500/mo | Target: Baseline data Week 3-4: Add Layer 3 (retargeting) Creative: 3 retargeting-specific variants Budget: +$500/mo | Gate: 500+ site visitors Week 5-6: First creative refresh Retire: CTR drop >15% or freq >4.0 Produce: 5 new images from winning angles Week 7-8: Scale winning creative Increase Layer 1 budget 20% on ROAS >1.8x Kill underperformers (<1.5x after iteration) Week 9-10: Evaluate Layer 2 readiness Gate: 3 months data + 100 conversions
AUDIENCE_SIGNALS.md
Audience signal matrix
## Audience Signal Matrix — 8 Segments Custom Intent (from search data): "ceramic planter indoor", "drainage plant pot" Reach: ~480K monthly | Match: 4/5 In-Market: Home & Garden > Indoor Plants (2.1M US) Home Decor > Home Improvement (4.8M US) Affinity: Green Living Enthusiasts (880K) Home Decor Enthusiasts (3.2M) Placements (YouTube): @PlantTherapy (1.2M) — topic exclusion on PMax Epic Gardening — targeted NYT Home — affinity placement test Remarketing pools: Site 7d: ~4,200 (under threshold, wait) Video 50%+: build from Layer 1 Purchasers 30d: ~180 (exclude all layers)
TESTING_FRAMEWORK.md
One-variable creative testing protocol
## Creative Testing Protocol Isolation order (one variable at a time): 1. Hook (4 variants, all else held) 2. Proof style (once hook stable) 3. CTA (once proof stable) 4. Thumbnail (once copy stable) Budget: $500/day per test Duration: 7 days minimum Sample: ≥30 conversions before decision Graduation thresholds: WINNER: ROAS ≥1.8x → promote to Layer 1 MIDDLE: ROAS 1.5-1.8x → 1 iteration, retest LOSER: ROAS <1.5x → kill, do not iterate Middle performer protocol: Change ONE variable only Reuse 80% of original asset Retest 7 days | Second fail = kill Current: 3 active | Graduated: 2 | Killed: 5
Use when you need deeper competitive research or angle discovery before creating video scripts.
Use when Demand Gen creatives need to align with PMax asset groups.
Use when your video ads need matching landing pages or presell flows.
Builds scored Demand Gen image briefs, YouTube video scripts across 5 formats, and a complete 4-Layer Campaign Architecture from a shared emotional truth foundation.