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Methodology
Six-phase SEO operating model covering discovery, architecture, rollout, and governance.
Operator mindset, product rigor, technical SEO depth.
Jake Labate builds SEO systems that can scale with engineering, support business goals, and stay resilient as search evolves toward AI-generated discovery.
Pages Under About
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SchemaCDN
Product detail page explaining schema infrastructure, deployment controls, and implementation outcomes.
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Case Studies
Documented outcomes across indexing, traffic, and conversion performance.
Career Timeline
AI SEO Product Owner, SchemaCDN
- Built SchemaCDN as an order-of-magnitude improvement in schema markup creation, deployment, and maintenance at scale.
Sr. Analyst of SEO Product, Wayfair
- Led SEO data analysis and visualization practices through a first-principles framework.
- Roadmapped an index coverage solution for enterprise sites (5M+ pages), addressing a long-standing industry challenge.
Head of SEO Product, Hooray Agency
- Developed the suite of SEO products and deliverables offered by the agency.
- Invented a schema-at-scale launch methodology that drove a 14% SERP CTR increase.
SEO Consultant, Various Clients
- Resolved Direct Connect Auto indexing from 800k to 1.3M pages (+44%).
- Grew BitX Capital traffic from 800/month to 2,400/month (+300%).
- Ranked Start My Wellness #1 for multiple competitive medical keywords, adding ~1,500/month traffic (+50%).
Resume Snapshot
This section is adapted from the resume details on jakelabate.com, with role highlights integrated directly into the work-history timeline above.
+44%
Page indexing growth (800k → 1.3M)
+300%
Traffic growth (800/m → 2,400/m)
+14%
SERP CTR gain from schema methodology
5M+
Enterprise pages analyzed and planned
What Jake Is Known For
Enterprise Search Systems
Translating SEO into product requirements and operational workflows for large-scale catalog and content environments.
Schema at Scale
Productizing structured data to make deployment and maintenance significantly faster and less error-prone.
AI Search Adaptation
Extending classic SEO into AI retrieval and citation dynamics so brands maintain discoverability in LLM-generated answers.
Data-Led Decisions
Building SEO measurement systems in BigQuery, GSC, GA4, and dashboards for clear prioritization.
Operating Principles
First Principles Thinking
Diagnose root constraints before prescribing tactics so teams fix systems, not symptoms.
Measurable Execution
Tie every recommendation to expected movement in crawl/index, traffic, CTR, and revenue-linked KPIs.
Cross-Functional Clarity
Translate SEO into product and engineering language teams can ship without ambiguity.
Professional Tools and Environment
- Data stack: BigQuery, SQL, GA4, GSC, and custom reporting systems.
- Technical tooling: Screaming Frog, Botify, Web Vitals diagnostics, and structured data validation workflows.
- Build stack familiarity: HTML, CSS, JavaScript, APIs, WordPress, and Webflow implementation ecosystems.