NewAI marketing agency by Brenton Way

AI marketing systems that improve your entire marketing stack.

GRND Control helps teams find the friction across strategy, channels, creative, landing pages, tracking, reporting, automation, and handoff, then turns the highest-leverage work into measurable operating systems.

Book an AI Marketing Audit See what we build

Signal layer map

The operating surface connects demand, creative, measurement, automation, and review into one governed learning loop.

human review required

Inputs

Channels

Creative

Customer data

Team workflows

Measurable marketing system

Research, test, track, report, optimize

Research

Test

Track

Report

Every action carries strategy, creative context, event definitions, QA evidence, and a clear owner before it reaches campaigns, landing pages, reporting, or follow-up.

Outputs

Less manual work

Cleaner decisions

Marketing stack momentum

Reporting loop returns to optimization.

Strategy

Channels

Creative

Engineering

AI marketing agency services

Three expert lanes for improving the marketing stack.

Marketing clarifies demand and channel strategy. Creative turns hypotheses into ads, video, content, and landing pages. Engineering removes the data, automation, QA, and handoff friction that slows the whole system down.

Marketing

Channel strategy, AI search, paid media, content, offers, landing pages, and reporting built around one measurable demand system.

AI SEO, AEO, and GEO services
ChatGPT, Gemini, Perplexity, and Google AI visibility
Paid search strategy and execution
Paid social media campaigns
Offer, landing page, and reporting alignment

Explore Marketing

Creative

Creative strategy, ad testing, AI-assisted production, landing page optimization, content systems, and review workflows for campaigns that need proof.

Paid social creative testing
Static ad and video variant production
Landing page optimization
Creative briefs and claim review
Brand approval workflows

Explore Creative

Engineering

Marketing data, attribution, server-side tracking, conversion QA, automated reporting, workflow automation, and handoff systems for teams that need trustworthy decisions.

GTM, GA4, and server-side tracking
Marketing attribution consulting
Conversion tracking and event contracts
Automated reporting workflows
Documentation, training, and owner handoff

Explore Engineering

Marketing

Creative

Engineering

Productized path

Start with one growth opportunity. Leave with a working marketing system.

We map the opportunity, plan the channel strategy, build the creative and attribution layer, launch with QA, then keep optimizing what works.

1-2 weeks

AI Marketing Audit

Map the current marketing stack across strategy, channels, creative, data, automation, and handoffs to find the highest-leverage growth opportunity.

2-3 weeks

Systems Blueprint

Turn one priority opportunity into a build plan with channel strategy, creative scope, event contracts, automation logic, review gates, and owners.

4-8 weeks

Campaign + System Build

Build, test, document, and launch the campaign, creative system, measurement layer, automation workflow, or operating process.

Optional retainer

Optimization

Keep GRND Control close after launch for channel optimization, creative testing, content refreshes, QA, reporting, automation tuning, and expansion planning.

Playbooks

Operating playbooks for the places growth work gets stuck.

Each playbook frames the problem, the operating layer it belongs to, and the system we build to make the work easier to run.

Browse all playbooks

Full-stack operating layer

Marketing Stack Efficiency Playbook

Problem: Marketing teams lose speed when channel planning, creative production, analytics, automation, and handoffs are improved separately.
Solution: Map the stack, find the highest-friction workflows, and build the operating layer that makes the next growth motion easier to run.

Marketing operating layer

AI Search + Paid Media Playbook

Problem: Growth work gets scattered when AI SEO, AEO/GEO, paid search, paid social, landing pages, and reporting are planned separately.
Solution: Unify AI search visibility, paid media, landing pages, conversion events, and reporting into one growth loop with clear priorities and measurable next actions.

Creative operating layer

Ad Creative Testing Playbook

Problem: Creative testing slows down when static ads, videos, landing pages, approvals, and learnings live in different places.
Solution: Build a production system that connects briefs, variants, approvals, landing pages, and performance notes before the next test ships.

Engineering operating layer

Marketing Engineering Playbook

Problem: Marketing teams lose leverage when attribution, server-side tracking, approvals, automation, and reporting stay undocumented.
Solution: Map the architecture, build the workflow, harden the QA layer, and document ownership so the system can keep running.

Attribution operating layer

Attribution + Reporting Playbook

Problem: Agency work cannot scale if lead source, creative tests, channel performance, and next actions are stitched together by hand.
Solution: Route campaign signals into a reporting cadence that shows source quality, creative learnings, channel decisions, and owners.

Automation operating layer

Marketing Automation + Handoff Playbook

Problem: Marketing automation breaks down when requests, approvals, deliverables, QA notes, and owner follow-up live across disconnected tools.
Solution: Design the workflow state, route each handoff through review, and document the owner model so campaigns keep moving after launch.

Where Growth Gets Stuck

Growth programs fail when the marketing stack is improved in pieces.

Most brands do not need another disconnected tool or a single-channel fix. They need an AI marketing partner that can look across strategy, channels, creative, data, automation, and operations, then build the pieces that unlock the next stage of growth.

Before

Disconnected growth work

Channel, creative, and systems plans split apart
Creative tests launch without clean conversion tracking
Landing pages and ads move on different timelines
Reports rebuilt by hand after every campaign

After

Connected marketing system

Strategy, channels, creative, and data aligned
Static, video, and landing page tests connected
Server-side tracking and QA checks built into launch
Insights ready before the optimization meeting

How we work

Built by strategists, creative operators, and marketing engineers.

Audit

Map the current marketing stack: strategy, channels, creative workflows, tracking, automation, handoffs, manual steps, and data gaps.

Blueprint

Design the channel plan, creative system, attribution architecture, automation rules, QA logic, and rollout plan.

Build + Handoff

Launch the marketing, creative, or engineering system, train the team, and deliver the operating docs.

Proof

Show what improved across the stack, and what changed after launch.

proof module / QA evidence

Server-side tracking and attribution hardening

We build the QA layer behind paid search, paid social, landing pages, analytics events, server-side routing, platform conversions, customer data, and revenue reporting.

Read breakdown

Before → mapped → reviewed → handed off

Find fragile conversion tracking and server-side routing issues
Map browser vs server ownership gaps
Turn tracking diagnosis into optimization logic your team can use

What You Leave With

Marketing strategy with the creative and engineering depth to execute.

Marketing strategy

AI SEO, AEO, and GEO
Paid search and paid social
Performance strategy tied to stack priorities

Creative testing engine

Static ads and AI video
Landing page optimization
Brand and claim review built in

Attribution engineering

Server-side tracking and attribution
Workflow automation and QA
Docs, training, and handoff

Start with the part of your marketing stack your team should not leave scattered.

We'll map the channel opportunity, creative needs, landing page requirements, data risk, automation gaps, and the first measurable marketing system worth building.

Book an AI Marketing Audit