RESULTS WITH
REAL COMPANIES.
This is the part the generic agencies usually cannot show. Real projects, real operating problems, and outcomes that tie back to traffic, demos, revenue, or process efficiency.
ENTERPRISE SEO, PROGRAMMATIC SEO, AND LOCAL GROWTH
These projects cover technical SEO, internal linking, content architecture, programmatic SEO, and scaled execution across enterprise and local businesses.
SEO CASE STUDYUBER FREIGHT
We proved SEO drives enterprise value at Directive (2023-2024). That was entirely manual execution. Since then, I've built AI infrastructure that delivers the same strategic precision at 10x velocity.
Our previous work took 12 months—with AI, I'd compress technical fixes to 4-6 weeks and scale content production indefinitely.
You're not just getting proven SEO strategy—you're getting it supercharged by 2 years of AI development.
+1,100% IMPRESSIONS / +350% CLICKSEnterprise SEO • Content Strategy • Technical Audit • AI-Powered Execution
UBER FREIGHT
We proved SEO drives enterprise value at Directive (2023-2024). That was entirely manual execution. Since then, I've built AI infrastructure that delivers the same strategic precision at 10x velocity. Our previous work took 12 months—with AI, I'd compress technical fixes to 4-6 weeks and scale content production indefinitely. You're not just getting proven SEO strategy—you're getting it supercharged by 2 years of AI development.
- Low non-brand visibility
- Manual content ops
- Pre-optimization state
- 98.9M Total Impressions
- 21,255 Non-Brand Clicks
- 98,426 Blog Clicks
- Now deliverable at 10x velocity with AI
SEO CASE STUDYCATO NETWORKS
Strategic internal linking from TOFU pages to drive core product commercial conversions. We turned readers into leads through architectural improvements.
+123% DEMO REQUESTSInternal Linking • TOFU Strategy • Conversion Opt
CATO NETWORKS
Strategic internal linking from TOFU pages to drive core product commercial conversions. We turned readers into leads through architectural improvements.
- Siloed content structure
- Low commercial page rank
- Traffic not converting
- 123% Increase in Demos
- 222% More Non-Brand Clicks
- Dominant Commercial Rank
SEO CASE STUDYSERVICE CHANNEL
Programmatic SEO campaign targeting maintenance templates. We dominated the "template" SERPs to capture high-intent users at scale.
+1,794% NON-BRANDProgrammatic SEO • Template Engine • Scale
SERVICE CHANNEL
Programmatic SEO campaign targeting maintenance templates. We dominated the "template" SERPs to capture high-intent users at scale.
- 98% Brand Traffic Dependency
- Manual page creation
- Low non-brand discovery
- 1,794% Non-Brand Growth
- 293% Increase in Sessions
- 125% Increase in Demos
SEO CASE STUDYINERTIA PHYSIO
Complete content automation overhaul. Moved from 2 manual posts/month to mass-scale optimized production using n8n workflows.
+3,000% TRAFFICContent Automation • Local SEO • Analytics
INERTIA PHYSIO
Complete content automation overhaul. Moved from 2 manual posts/month to mass-scale optimized production using n8n workflows.
- 2 posts/month
- No organic revenue
- Local-only visibility
- 500+ Automated Pages
- $72k SEO Revenue
- National Reach
SEO CASE STUDYBROOKLYN FI
Built a full equity compensation content strategy for a fee-only financial advisory firm. 27 blog posts targeting low-KD keywords generated 35,597 clicks and 2M+ impressions, compounding from 393 to 2,840 monthly visits at peak.
+623% ORGANIC TRAFFICContent Strategy • Topical Maps • Low-KD Targeting • Hub & Spoke
BROOKLYN FI
Built a full equity compensation content strategy for a fee-only financial advisory firm. 27 blog posts targeting low-KD keywords generated 35,597 clicks and 2M+ impressions, compounding from 393 to 2,840 monthly visits at peak.
- 393 monthly organic visits
- No equity comp content authority
- Zero non-branded keyword rankings
- Reliant on referrals only
- 2,840 Monthly Visits at Peak
- 35,597 Organic Clicks
- 2M+ Impressions
- Top 3 Rankings on 107 Keywords
AUTOMATION, AGENTS, AND OPERATIONAL LEVERAGE
Some of these systems were internal or confidential, so the naming is more abstract. The workflows and outcomes are real.
AI SYSTEM CASE STUDYSTRATOS
Built an internal AI agent platform that automated reporting, data entry, and analysis across 50+ enterprise accounts.
$90K/MO SAVEDn8n • OpenAI • BigQuery • Python
STRATOS
Built an internal AI agent platform that automated reporting, data entry, and analysis across 50+ enterprise accounts.
- 200+ hours/mo wasted on reporting
- Manual data copying
- Reactive insights
- 15 Autonomous Agents
- $1.08M Annual Savings
- Real-time Dashboards
AI SYSTEM CASE STUDYTAM VERIFICATION
Automated the verification of Total Addressable Market data, reducing cost per record from $11 (manual analyst) to $0.01.
99.9% CHEAPERPython • SerpApi • Automation
TAM VERIFICATION
Automated the verification of Total Addressable Market data, reducing cost per record from $11 (manual analyst) to $0.01.
- $11/hr Manual Research
- 100 records/day cap
- Human Error
- $0.01/hr Automated
- 50,000 records/day
- 99.9% Accuracy
AI SYSTEM CASE STUDYCONTENT SYSTEM
End-to-end automation of the content brief process. AI handles topic research, keyword clustering, and competitor gap analysis.
10X VELOCITYOpenAI API • Ahrefs API • Google Docs API
CONTENT SYSTEM
End-to-end automation of the content brief process. AI handles topic research, keyword clustering, and competitor gap analysis.
- 2-3 hours per content brief
- Inconsistent research depth
- Manual keyword mapping
- 20 mins per brief
- Standardized quality
- Instant competitor data
AI SYSTEM CASE STUDYSTRATOS SCORE
A custom scoring engine that ingests unstructured data from Gong calls and Slack channels to predict client health and churn risk.
CHURN PREDICTIONNLP • Gong API • Slack API
STRATOS SCORE
A custom scoring engine that ingests unstructured data from Gong calls and Slack channels to predict client health and churn risk.
- Lagging churn indicators
- Subjective account health
- Surprise cancellations
- Real-time Sentiment Analysis
- Proactive risk alerts
- Data-driven retention
AI SYSTEM CASE STUDYCONSTELLATION
Automated the audience creation process for a B2B SaaS sales org. Turned 20+ hours of manual analyst research per audience into a self-serve tool that builds segmented lists in minutes.
40 HRS/MO SAVEDAnthropic API • Python • Snowflake • Automation
CONSTELLATION
Automated the audience creation process for a B2B SaaS sales org. Turned 20+ hours of manual analyst research per audience into a self-serve tool that builds segmented lists in minutes.
- ~20 hours per audience build
- Analyst bottleneck on every campaign
- Manual research and list assembly
- Capped at 2 audiences/month
- Minutes Per Audience Build
- 40 Hours/Month Recovered
- Self-Serve for Campaign Teams
- No Analyst Bottleneck
AI SYSTEM CASE STUDYCOACHING ENGINE
Multi-agent pipeline that scores sales calls and emails against qualification frameworks, generates role-specific coaching recommendations, and surfaces deal patterns across the entire org. Replaced manual call reviews at scale.
600+ HRS/MO SAVEDAnthropic API • Gong API • Snowflake • Python
COACHING ENGINE
Multi-agent pipeline that scores sales calls and emails against qualification frameworks, generates role-specific coaching recommendations, and surfaces deal patterns across the entire org. Replaced manual call reviews at scale.
- Managers reviewing calls manually
- Inconsistent scoring criteria
- No email signal analysis
- Coaching limited to a few reps/week
- 7-Agent Scoring Pipeline
- Role-Based Analysis (XDR + AE)
- Gong + Email Coverage
- 600+ Hours/Month Recovered
AI SYSTEM CASE STUDYORACLE
Multi-agent system that translates natural language into validated Snowflake queries for financial reporting. Three specialist agents route by question type, while deterministic validators enforce audit filtering, block dangerous SQL, and guarantee transparent assumptions on every response.
100% AUDIT COMPLIANCEAnthropic API • Snowflake • Python • MCP
ORACLE
Multi-agent system that translates natural language into validated Snowflake queries for financial reporting. Three specialist agents route by question type, while deterministic validators enforce audit filtering, block dangerous SQL, and guarantee transparent assumptions on every response.
- 10-15 min per manual SQL query
- Audit filters frequently forgotten
- Fiscal calendar confusion across team
- Business logic siloed in dbt macros
- 30-Second Natural Language Queries
- 3-Layer Deterministic Validation
- 100% Audit Filter Enforcement
- Full SQL Transparency on Every Response
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