Cross-Chain Protocol · GTM and AI Systems
+600% organic traffic · 8.1% CTR
Data & Insights
Organic Traffic
SEO overhaul + programmatic pages
Peak CTR
From 2.9% baseline
Product Launches
UTS · UDF · UPC
AI Systems Built
Entangler + Helix
Organic Traffic Growth
Performance Lift
AI-Native Campaign Pipeline — Entangler + Helix
01
Partner Data
Chain/dApp context ingested
02
Entangler
AI content generation
First AI infra
03
Helix
Cross-chain data + anomaly detection
04
Distribution
Multi-surface deployment
05
Analytics
CTR feedback → prompt refinement
8.1% CTR
Overview
Entangle is a cross-chain protocol orchestration platform. I led GTM and AI systems: the internal campaign infrastructure, the co-marketing engine and the organic discovery layer that scaled ecosystem adoption across 15+ chains and L2s.
Three pillars carried the work: an AI campaign automation engine (Entangler + Helix), a standardized co-marketing format built on Entangle's UDF (Universal Data Feeds) infrastructure, and a multi-surface SEO and distribution layer. Organic search visibility rose 600%+, co-marketing CTR averaged 8.1%, and bringing production in-house projected roughly $420K a year in savings.

Campaign Automation Engine · Entangler + Helix
I developed an internal GPT-powered agent workflow that generates campaign assets, outbound copy and activation materials across ecosystems. Entangler + Helix produced the landing pages, press seeding, KOL scripts and partner-specific content in-house.
Lead time on routine assets dropped and the agency dependency went with it. Execution velocity rose an estimated 5x, and moving marketing operations in-house projected savings of about $420K a year across production and agency costs.


Co-Marketing Performance
Assets and onboarding flows supported over 15 chains and L2s across campaign lifecycles, coordinated directly with ecosystem leads. The UDF campaign format, Entangle's standardized co-marketing stack, made partner onboarding repeatable with direct funnel feedback: 9 chains and 6 dApps onboarded across Q2 on this format.
Internal dashboards showed average CTR rising from ~2.9% to 8.1% across co-marketing content. Some placements tested beyond 9%; results varied by distribution channel. Interaction logs put mutual engagement between integrated partners at ~33% month-on-month growth over a 5-month campaign window.


SEO & Onchain Discovery
Internal analytics showed a 600%+ lift in organic search visibility after the chain-specific SEO initiatives launched. I distributed content through GitHub repos, ecosystem forums and integration-focused landing pages.
I deployed a multi-surface indexing strategy across GitHub, Notion and integration-specific docs. Long-tail queries and technical cross-linking drove most of the visibility increase. Campaign indexing and back-end SEO flows routed long-tail traffic into chain-specific acquisition funnels on their own.

Infrastructure Built
Internal GPT-powered agent flow for campaign asset generation, outbound copy and activation materials across ecosystems.
Standardized co-marketing stack for chain and dApp integration. Campaign assets adapt from integration data, so partner chains spin up their own GTM packs.
Dynamic Notion dashboards, Airtable-controlled asset drops and distribution routing through GitHub and forum integrations.
Campaign indexing and back-end SEO flows that route long-tail traffic into chain-specific acquisition funnels.
