Systems

Marketing systems that improve the whole stack.

GRND Control builds the operating layer behind AI marketing agency work: strategy, AEO/GEO, paid media, content, creative production, landing pages, server-side tracking, reporting, automation, and handoff.

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
Open 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
Open 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
Open Engineering
Operating principle

We do not sell another disconnected tool. We connect the marketing, creative, and engineering work your brand team needs to run.

Strategy
AI search
Paid media
Content
Creative testing
Tracking
Reporting
Automation
Handoff
Example builds

Example systems with inputs, review, and handoff logic.

Marketing stack efficiency audit

Find the strategy, channel, creative, data, workflow, and handoff gaps that make the marketing team move slower than it should.

Inputs
Current tools, campaigns, landing pages, reporting, team workflows
Review
Priority scoring, risk review, and owner alignment
Outcome
A practical roadmap for improving the marketing stack

AI search and AEO/GEO program

Build the content, citation, and entity strategy that helps brands show up in ChatGPT, Gemini, Perplexity, Google AI, and traditional search.

Inputs
Search demand, customer questions, competitor citations, proof library
Review
Claim checks, source approval, and refresh cadence
Outcome
A stronger path to visibility in AI search and answer engines

ChatGPT ads readiness

Prepare offers, landing pages, measurement, and governance for emerging AI ad placements without treating them like a disconnected channel.

Inputs
Offer strategy, landing pages, conversion events, audience segments
Review
Launch QA, tracking checks, and budget guardrails
Outcome
AI ad tests launch with cleaner measurement and safer controls

Paid search and social system

Connect paid search, paid social, creative testing, landing pages, conversion tracking, and reporting into one optimization loop.

Inputs
Ad platforms, creative results, landing pages, conversion events
Review
Budget thresholds and launch QA checks
Outcome
Performance decisions move faster without spreadsheet drift

Static creative engine

Turn campaign goals, audience angles, brand rules, and proof points into testable ad creative variants.

Inputs
Campaign plan, audience notes, offer details, brand examples
Review
Creative director, brand, and claim approval gates
Outcome
More usable creative variants with consistent brand control

Video and landing page workflow

Build repeatable systems for AI video concepts, landing page variants, launch QA, and conversion testing.

Inputs
Creative briefs, scripts, landing pages, analytics events
Review
Brand review, page QA, and conversion tracking checks
Outcome
Creative launches faster with fewer production and tracking gaps

Attribution and automation layer

Stabilize server-side tracking, attribution, reporting, automation, and owner handoffs behind the marketing program.

Inputs
GTM, GA4, CRM, ad platforms, forms, dashboards
Review
Metric definitions and insight approval
Outcome
Leadership gets cleaner decisions and the team gets a system it can run