Key WinsLinkedIn ↗

Selected evidence · 2025–2026

Work that became visible, usable and measurable.

My strongest work sits at the intersection of product meaning, buyer discovery and measurement.

View résumé ↗

2,800+programmatic pages built for an early-stage AI product

38K+organic impressions reached in the first 90 days

34high-intent keywords for one SaaS comparison asset

3AI platforms citing the same commercial-intent article

What changed

Four wins that show the range of my judgment.

Each example connects a business problem to a decision I owned, an output that shipped and a result that can be inspected.

Search + AI discovery

One comparison asset became visible across the full discovery journey.

My Omnisend vs Klaviyo comparison earned visibility for 34 high-intent keywords and was cited for the same commercial query by ChatGPT, Gemini and Perplexity.

34 high-intent keywords · 3 AI platformsRead the published article ↗

Programmatic SEO

Built an early-stage search engine rather than a collection of posts.

For ChAIron, I combined programmatic location pages, exercise libraries, utility content and buyer-intent articles into a distributed organic discovery system.

2,800+ pages · 38K+ impressions · 0.8% CTR in 90 daysRead the case study →

Shopify SaaS growth

Shipped across four products while improving how performance was measured.

At Skai Lama, I shipped nine assets in 30 days, created the first GEO/AEO baselines, and rebuilt the content audit around GSC, GA4 and per-URL search data.

9 assets · 4 products · 1,572 initial GEO/AEO citations trackedSee the evidence →

Measurement architecture

Found the conversion the analytics property could not see.

A site-wide CTA and GA4 audit surfaced that the primary demo-booking action had no configured event name. I then designed an intent-led taxonomy and reusable attribution model.

47 CTAs audited · 4 intent events · 3 reusable parametersSee the measurement system →

Cross-platform proof

One buyer question. Three AI-search citations.

These screenshots document the OnSaaS article appearing as a source across ChatGPT, Gemini and Perplexity for the same comparison query.

ChatGPT answer citing the OnSaaS Omnisend versus Klaviyo comparison — ChatGPT
My OnSaaS comparison cited by ChatGPT for the query ‘Omnisend vs Klaviyo’. The source is used directly inside the answer and listed in the citation panel.

Gemini sources panel citing the OnSaaS Omnisend versus Klaviyo comparison — Gemini
The same article cited by Gemini as a supporting source for the product-comparison answer.

Perplexity sources showing the OnSaaS Omnisend versus Klaviyo comparison — Perplexity
Perplexity includes the article among its sources for the same high-intent comparison query.

Operating range

Strategy without losing execution detail.

15,000+words delivered in high-volume weeks, supported by AI workflows and human editorial control

11external partnership collaborations managed end to end

APAC · US · Europecross-functional work with founders, product marketers, editors, Product, CX and Tech

What sets me apart

The content is never separate from the system.

My mathematics background trained me to look for structure and proof. My editorial background trained me to make that structure clear to people.

Search beyond the blue link

I plan for Google rankings and AI-answer visibility together—using direct-answer structure, citation-worthy evidence, entity clarity and recurring cross-platform checks.

Content inside the buyer journey

I do not treat an article as an isolated output. I map it to awareness, evaluation, product proof, lifecycle follow-up and the measurement signal needed to learn from it.

Technical depth in buyer language

Across AI, ecommerce, analytics and enterprise SaaS, I translate technical product behaviour into narratives founders, operators and buyers can act on.

Explore the work