Experience 

Leading organic growth through SEO/AEO, data-backed search strategy, and user-centered, high-converting website UX.

 

Senior Lead, AI & Organic Growth · Perficient

June 2023-Current 

Practice lead for SEO/AEO and GEO across Perficient's portfolio of clients. I partner with platform, engineering, and design to build scalable content and technical foundations while improving acquisition and user experience for the largest brands. 

 

Multiple Growth/Aquisition Roles · Protiviti (formerly R2integrated)

June 2018-June 2023

Progressive leadership experience spanning growth marketing and search strategy, with a track record of scaling digital acquisition and driving measurable revenue impact for enterprise and agency clients.

  • Director of Growth (Contract) — Feb 2022–Jun 2023
    Owned strategy and execution for scalable customer acquisition, retention, and revenue expansion across digital channels.
  • Senior Director, Integrated Search Strategy — Feb 2021–Feb 2022
    Led a multidisciplinary growth team across paid and organic channels, partnering directly with C-level executives on business development while optimizing internal operations and aligning talent to client priorities.
  • Director of SEO & Content — Jul 2018–Jun 2021
    Led and mentored a 5+ person SEO team delivering technical, content, international, and emerging-channel strategy (e-commerce, mobile, voice), embedding SEO into AEM, Shopify, and WordPress platforms. Achieved 90% YoY client retention through performance forecasting, migration QA, and vendor management.

Account Director · Merkle  

Jan 2012-Jan 2017

Partnered with enterprise-level clients to develop digital marketing strategies aligned to business objectives and market trends. Drove collaboration between business requirements and UX design, contributed to content strategy and on-page optimization, and led technical, on-page, and off-page SEO audits. Analyzed performance across analytics and SEO platforms to deliver regular executive reporting on organic growth and opportunities.

Case Studies Where I Played a Prominent Role

Role: AI Search Contributor

From Billions of Data Points to Near-Instant Search

Contributed AI-powered search relevance work — using embeddings to match keyword phrases to actual search intent, as part of a large cross-functional rebuild spanning data, commerce, CMS, web development, and QA for a multinational healthcare services company. Search went from a 30-hour indexing lag to near-instant results for hundreds of thousands of users.

 

Role: Account Lead

From a Single Audit to a Full AI Visibility Program

What began as a one-off SEO audit for an industrial power distributor grew into an ongoing AI visibility program. I built an automated crawl-to-dashboard pipeline and stood up AI prompt tracking across two brand instances — then mapped a 150-prompt taxonomy directly to the client's competitive landscape, helping them reposition from "distributor" to "full lifecycle power management provider."

 

Role: SEO auditor

From 300+ Fragmented Sites to One Connected Journey

Ran the content and SEO audit across a Fortune 100 smart technology provider's primary properties — keyword inventory, architecture gaps, and competitive benchmarks — helping prove that fragmentation wasn't just a technical issue; it was a revenue issue. That diagnostic fed the case for consolidating 300+ disconnected sites into one experience.

 

Role: Content Architect

From Technical Audit to Executive Action: Making SEO Architecture Legible

For a B2B SaaS billing platform, we built a comprehensive keyword entity matrix and full schema markup audit — the kind of deep technical work that usually stays buried in a spreadsheet. Instead, we translated it into an interactive executive summary leadership could actually use: no jargon, no 40-tab deck, just clear priorities and next steps.

The real win wasn't just getting the technical architecture right — it was making it legible. When a non-technical leadership team can look at a complex SEO strategy and immediately see what to act on, that's when technical work starts driving business decisions instead of sitting in a backlog.

What Clients Say

“This was fantastic! Will you speak at our internal conference?”

Amara
W.R. Grace & Co.

“We have been trying to solve this problem for a very long time”

Stephanie
Demandbase

“That was the best technical SEO audit readout I have ever heard". 

Tony
GE 

A Sample of Brands I have Worked With 

Technology 

AI Search Visibility & Measurement

  • Peec AI (with MCP integration) — citation share, sentiment, and share of voice tracking across ChatGPT, Perplexity, and Google AI Overviews.
  • Profound — additional AI visibility and answer-engine monitoring, useful for cross-validating citation data against a second source.
  • AirOps — AI-powered content generation and workflow automation at scale, particularly for GEO/AEO content production.
  • Writer — enterprise AI content generation with brand voice and governance controls.

Traditional SEO & Technical Analysis

  • Semrush / Semrush Enterprise — competitive research, keyword strategy, and enterprise-scale traffic and rank analysis.
  • seoClarity — enterprise rank tracking, content optimization, and large-scale technical monitoring.
  • Screaming Frog — technical crawls, site architecture audits, and structured data validation.
  • Google Search Console — indexation, crawl health, and query-level performance.

Platforms & Infrastructure

  • Adobe AEM and Sitecore — enterprise CMS platforms for technical implementation and content architecture.
  • Databricks — larger-scale data work when client environments require it.

Reporting & Business Intelligence

  • Google Suite (Colab, Data Studio, etc) — referral attribution and executive-facing dashboards.

Automation & AI Workflow Building

  • n8n — orchestration layer for automating recurring workflows (data pulls, reporting, anomaly flagging) by connecting tools like Peec AI, Semrush, and internal systems.
  • Python — custom data normalization, analysis scripts, and building tooling when off-the-shelf solutions fall short.
  • Google Colab — exploratory analysis and prototyping before productionizing scripts.
  • MCPs & APIs — agent-based integrations that connect AI tools directly into workflows rather than relying on manual exports and imports.

Connect with me on Linkedin.