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What I bring to a marketing team

Full-stack marketing.
Built on real results.

I work across the full marketing stack: search, AI visibility, paid media, analytics, automation, and content. Everything below is backed by real outcomes from real engagements, not theoretical frameworks.

SEO + AEO + GEO

Search Strategy

Technical SEO audits, content architecture, and structured data implementation. Answer Engine Optimization for AI citation visibility across ChatGPT, Perplexity, and Google AI Overviews. Generative Engine Optimization for brand-level recommendation signals.

Read: What is GEO?

Results from real engagements

  • 9% to 40% AI citation visibility at LHM Honda Murray in 90 days
  • 172x AI visibility gap identified and closed for a single category query
  • Comprehensive schema deployment across Organization, LocalBusiness, Product, and FAQ types

Google Ads + Campaign Architecture

Paid Media

Full campaign restructuring: match types, negative keyword strategy, ad copy, landing page alignment. Budget allocation based on margin data, not just volume. Waste identification and elimination as a first step before any scaling.

Read: Google Ads Mistakes

Results from real engagements

  • $190 to $28 cost per lead at Roof Depot in 60 days
  • $70 to $40 CPA at Appliance EMT with 3x technician headcount growth
  • $240K in annual fraudulent ad spend identified and eliminated on a single engagement

Revenue Tracking + Conversion Infrastructure

Analytics and Attribution

Conversion and call tracking with source-level attribution. Revenue tied to channel, campaign, and keyword. CPA, CPL, close rate, and ROAS reporting that connects marketing activity to actual dollars.

Read: Why CPA Matters More Than Clicks

Results from real engagements

  • 0.9x to 3.2x ROAS at Meridian Med Spa in six weeks
  • Source-level attribution across calls, forms, and revenue by channel
  • Weekly revenue reporting replacing vanity metric dashboards

Marketing Agents + Competitive Intelligence

AI and Automation

Custom AI agent development for lead routing, follow-up automation, competitive monitoring, and content production. Building systems that scale marketing operations without scaling headcount.

Read: AI Marketing Strategy

Results from real engagements

  • Automated competitive monitoring agents tracking pricing and positioning changes
  • Lead routing automation reducing response time from hours to minutes
  • AI-powered content production pipelines maintaining quality at scale

Landing Pages + Content Architecture

Content and Conversion

Conversion-focused landing pages, content strategy aligned to search intent, and copy that moves people from awareness to action. Every page built to serve both human readers and AI systems.

Read: Landing Page Checklist

Results from real engagements

  • Dedicated landing pages replacing generic service pages across client accounts
  • AEO content frameworks with answer blocks built for AI citation
  • Content architecture designed around topical authority clusters

Technical Infrastructure for AI Visibility

Schema and Structured Data

Comprehensive schema markup implementation that makes expertise machine-readable. Organization, LocalBusiness, Product, FAQ, Article, and custom types deployed site-wide. The technical foundation that makes every other capability compound.

Read: Schema Markup Guide

Results from real engagements

  • Full schema deployment across multiple entity types per engagement
  • AI citation visibility gains directly tied to structured data improvements
  • Schema audits consistently surfacing broken or missing markup competitors ignore

Want to see this in action?

The case studies show how these capabilities come together on real projects. Or skip straight to a conversation.

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