Digital strategist focused on AI & AEO

Web strategy for the AI search era

I lead and improve high-traffic websites from strategy through implementation - connecting user experience, analytics, optimization, and emerging AI search.

  • Website leadership
  • From concept to code
  • AI product building
  • AEO experimentation
Selected work

Connecting audience needs, digital experiences, and discoverability.

I connect audience needs, user experience, measurement, and hands-on implementation. Sew What’s Next brings those disciplines together in one live product.

Case study

Sew What’s Next

One product, two connected stages: first I built an AI-powered tool around a real maker problem. Now I’m using it to test how new products become visible in AI search.

01 Build the product

An AI sewing companion that turns possibility into a next project.

Sew What’s Next is a personal app I built for my sewing hobby to help me decide what to make with the fabric and patterns I already own.

Rather than just tracking your fabric and sewing pattern stash, it helps you make decisions based on what you have available. I used it myself after finding an overall dress online—working through whether I had enough fabric, which patterns could create a similar result, and what I could make without starting from scratch.

  • Match available fabric with patterns you already own
  • Turn online inspiration into feasible project options
  • Move from “What could I make?” to a confident next project
Open app (opens in a new tab)
Sew What’s Next dashboard showing project filters and a recommended shirt dress pattern
Next question

Once the product was live, I asked a second question: could a new niche app become visible in AI-generated answers?

02 Measure discoverability

Sew What’s Next AEO Experiment

A public experiment tracking whether a new sewing app can become discoverable in AI-generated answers for sewing project planning, fabric stash organization, and pattern-matching queries.

The goal is not only to improve the app’s visibility, but to document a repeatable AEO process: establish a baseline, analyze competing answers, make targeted content and technical changes, rerun the test, and publish what changed.

First results published · Experiment active
View experiment
Latest resultSeptember 3, 2026
ChatGPT visibility
20%
Cited recommendations
3/15
#1 recommendations
2
Other platforms
0/15

0% → 20% ChatGPT visibility after Phase 1

Professional focus

The web expertise behind the experiments.

I work across the full website lifecycle—from understanding the problem and organizing the experience to measuring what happens and building what comes next.

Let’s stay connected.

Follow along for notes on what’s working across AI, AEO, and digital experience.

Find me on LinkedIn (opens in a new tab)