The product is strong, but the story is unclear.
I find the buyer tension, sharpen the positioning and turn technical differentiation into a reason to choose the product.
Product marketing, built around evidence
Turn complex products into growth people can understand, find and act on.
I build positioning, search, lifecycle and measurement systems for B2B SaaS and AI products—then connect the work to proof.
Selected experience acrossShopify SaaSAI fitnessAI taxB2B outbound
38.5Korganic impressions built for an early-stage AI product
2.4Kpages indexed through a scalable search architecture
1.61KAI-feature impressions across a seven-page content cohort
47customer-facing CTAs audited and restructured
Two connected strengths
Two ways I help technical products grow.
Different problems need different systems. I work across both—and connect them when the buyer journey requires it.
Growth system 01
Product marketing that makes the decision easier.
Positioning, buyer research, GTM strategy and lifecycle journeys designed around the moment a prospect needs to understand, trust or act.
- Positioning
- Buyer insight
- Lifecycle
- GTM strategy
Growth system 02
Search systems that create more ways to be discovered.
SEO, AEO and content architecture that connect real search behaviour to a measurable route from first impression to product action.
- SEO / AEO
- Content systems
- Programmatic SEO
- Measurement
Where I add leverage
When the work needs judgment, not another checklist.
These are the three situations that appear repeatedly across my case studies and strategy work.
Content exists, but discovery is fragmented.
I build a connected search and content system around intent, category authority and the paths that lead toward conversion.
Marketing is active, but the signal is unreliable.
I clarify what should be measured, repair attribution gaps and create a reporting structure the team can reuse as it grows.
Selected work · 01—03
Case studies built around decisions, not deliverable lists.
Hover over “Case Studies” in the navigation to jump directly to any project—or explore them below.
Case study · 01Read case study ↗
SEO / AEO · Shopify SaaS
Building visibility from scratch—and recovering what search had eroded.
Seven isolated content assets, measured from standard search and AI-feature visibility through downstream landing-page activity.
- 14,915 search impressions
- 1,609 AI-feature impressions
- 3.0× visibility trajectory
Case study · 02Read case study ↗
GTM analytics · Multi-product SaaS
Designing a scalable conversion-measurement system.
A hidden demo-conversion gap became an intent-based taxonomy, reusable attribution model and repeatable QA system.
- 47 CTAs audited
- 4 event families
- 3 attribution dimensions
Case study · 03Read case study ↗
Programmatic SEO · AI fitness
Building ChAIron’s distributed organic growth engine.
Programmatic location pages, comparison content, exercise libraries and utilities created multiple entry points into search.
- 38,553 impressions
- 289 organic clicks
- ~2,410 indexed pages
Lifecycle campaigns · 01
Turning product data into reasons for merchants to return.
Executed CRM work is separated from search and analytics case studies so recruiters can evaluate segmentation, message design, experimentation and learning independently.
Campaign 01EBB
Easy Bundles · Merchant performance email
Building the first data-personalised merchant lifecycle campaign.
I turned bundle-performance data into a recurring report, tested two subject-line frames, launched through Brevo and reconciled native tracking against Rebrandly before deciding what the next iteration needed.
- 340 delivered
- 97.7% delivery rate
- 13 Rebrandly click events
- 1 unsubscribe
How every project is evaluated
Problem→Insight→Recommendation→Ownership→Shipped work→Result→Judgment
Featured resource · Shipped work
A practical operating system for visibility across Google and AI search.
This independently created lead magnet turns a fragmented topic into a usable set of research workflows, checklists and original decision frameworks.
LLMSEO · AEO · GEO · AIO
The Ultimate LLMSEO Framework Playbook
A 28-page public playbook for marketers, founders and content teams—built around Gayathri’s RANK, EASE and CLEAR methods.
- 357 Notion views
- 3 original frameworks
- 6 research workflows
Strategy Lab · 01—04
How I think before implementation begins.
Evaluation exercises and strategic proposals are separated from executed work. They demonstrate diagnosis, prioritisation and measurement design—without implying that recommendations shipped.
01
AI UGC · GTM content strategy
Speel: turning product differentiation into discovery, trust and trials.
A public-data strategy that narrowed the ICP, found the trust wedge and sequenced an SEO + AI-search content engine around buyer decision moments.
- 3 priority content bets
- 14-day launch sequence
- 90-day ecosystem
02
B2B outbound · Content-to-pipeline
VeroTech: making a proprietary targeting framework discoverable.
A four-week execution plan connecting category definition, founder-led distribution, search architecture and proof assets to qualified pipeline.
- 4-week execution plan
- TAI category anchor
- Full-funnel architecture
03
AI tax SaaS · SEO + LinkedIn
SignalsHQ: correcting the category signal and building authority.
A public-data diagnosis that moved the content system from tangential accounting queries toward IRS-grounded tax automation, product proof and demand capture.
- DA 7 baseline
- 4 ranking keywords
- 4 proposed content hubs
04
AI UGC platform · Content audit
Mesha: turning a 127-asset library into a prioritised growth system.
An asset-level audit that separated legacy and misaligned content from the AI UGC themes worth consolidating, refreshing and repurposing.
- 127 assets audited
- 32 delete decisions
- 15 repurpose opportunities