AI Agents: Full Google Ads Deployment in One Day

New brand. Empty ad account. Full deployment by the end of the day.

Most agencies' onboarding takes 2-3 weeks.

Ours takes one day.

This is what it looks like when every step - research, feeds, ads, landing pages, creative - runs through AI agents built specifically for the job.

By the team that embraces the speed of an AI agentic system.

The video walks through every screenshot I sent the client as the day unfolded.

Research.

Deep brand analysis. Keyword research across every product angle.

Competitors pulled on both Google and Meta - their ads, their landing pages, their keyword coverage, their gaps.

The system runs 21 research queries per market and maps them into 380-620 angle variations. Every angle scored for volume, competition, and conversion.

Feed strategy.

The product catalog is segmented into 13 separate feed strategies.

Not 1 generic feed. 13 - each built around a different purchase intent.

Every feed is rewritten from scratch:

• Titles (140-150 chars, front-loaded with keywords)
• Descriptions (800-1,100 chars, unique per variant)
• Product highlights
• 30+ other GMC attributes

Each feed is validated against 152 quality checkpoints before it touches Merchant Center. Anything below threshold gets auto-fixed and re-validated.

All 13 deployed to GMC through API. This used to take us a full week. The systems brought it down to hours.

Pre-sell and offer pages.

For top products, AI agents build full landing pages from scratch - unique to each angle and audience intent, not templates.

• Angle discovery through keyword research and SERP analysis
• 2,000-3,500 words of conversion-optimized copy per page
• Full HTML/CSS/JS build with scroll animations
• Lighthouse speed scores above 90
• Deployed to Shopify or Cloudflare through API with SSL, CDN, and cross-domain tracking

Offer pages follow the same pipeline - bundle strategy, pricing psychology, tier selection, and direct Shopify cart integration.

Campaign architecture - everything that went live on day one:

• Brand campaigns - product URLs matched to ads matched to keyword clusters
• Cold acquisition search campaigns for top products - 3 to 6 ad groups each
• Counter-competitor campaigns built from competitor research
• Direct response campaigns for pre-sell landing pages
• 13 Shopping campaigns with separate segments for keyword data mining
• 13 PMax feed-only campaigns for performance and scaling
• Demand Gen image campaigns - AI-generated creative across 4 aspect ratios
• Demand Gen video campaigns - brand videos uploaded to YouTube, deployed as in-stream and Shorts

The Shopping campaigns are where it compounds. Search term data feeds back into title improvements and uncovers new angles for more feeds.

The system gets smarter the longer it runs.

Account-level infrastructure - sitelinks, callouts, price extensions, structured snippets, negative keyword lists, placement exclusions - all generated and deployed through API.

What makes this possible:

47 AI agent commands.

• The feed agent rewrites and validates.
• The search agent builds ads from competitor intel.
• The presell agent writes copy, builds pages, and deploys.
• The demand gen agent generates images across 5 AI models and uploads campaigns.

Each agent runs 1,500-2,000 lines of instructions plus Python scripts deploying through API.

While they handle the build, I'm on tracking fixes and page tagging.

(The agents build faster than I can configure GTM. I've made my peace with that)

Hundreds of ads live from day one. Pre-sell pages deployed. Demand gen running. Sequential testing across every angle - same philosophy as massive creative testing on Meta, applied to search, shopping, display, and video.

Full walkthrough is in the video. Every step. Every campaign. Nothing edited out.

Most onboardings take 2-3 weeks.

Ours takes one day. Due to the systems we spent years building.

Imagine how a month of working on an ad account looks like at this speed.