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I’ve been testing a China LBS-backed location intelligence workflow for retail and F&B site selection.
Sample case: evaluating Shanghai’s Jing’an Temple area for a premium coffee concept using AMap / Gaode POI signals.
The key takeaway: a “hot” commercial area is not automatically a good location. Jing’an has strong demand anchors — offices, malls, transit, hotels, and lifestyle traffic — but also mature competition. That makes it more suitable for a differentiated premium concept, flagship-style visibility, or pop-up validation than a generic coffee store.
The heatmap is only the evidence layer. The real value is turning local POI signals into a practical entry decision:
where demand may exist
where competition is already intense
which format fits the location
what to validate before signing a lease
I’m exploring customized China LBS location intelligence reports for overseas brands, agencies, and founders considering retail stores, F&B concepts, beauty / lifestyle pop-ups, showrooms, or market-entry pilots.
The network for creativity
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For this challenge I built a mobile app called Field Signal, a field intelligence prototype for commercial real estate site visits.
It helps an investor or broker capture signals like visibility, access, tenant condition, and risk, then turns those observations into a live deal pulse and structured field memo.
How I used Stitch: I started in Google Stitch with streaming generation, used in place edits to refine the product flow and motion, and used a DESIGN.md file I prepared to keep the visual system tight across screens before pushing it into a live prototype through Google AI Studio.
Feedback: Stitch felt strongest as an iterative design partner. Streaming and in-place edits made it fast to move from concept to something that actually felt alive and interactive. Super useful & excited to see how this tool integrates with the creative process going forward!
Wow, this is so nice!
Ahrefs analyzed 1 billion data points on AI search.
One finding should make every Shopify owner rethink their strategy: 28.3% of ChatGPT's most-cited pages have zero Google visibility.
Google SEO is still essential. Most of your organic revenue still comes from search. That doesn't change.
But AI search is a separate layer with its own logic. You can rank #1 for "best running shoes for flat feet" and still be invisible when a customer asks ChatGPT to recommend running shoes.
What the data also showed:
YouTube mentions had the highest correlation with AI visibility. Higher than backlinks. Most Shopify stores have zero YouTube presence.
"Best X" listicles make up 43.8% of pages cited by ChatGPT. If your products aren't in third-party "best of" content, you're missing the dominant citation format.
53% of AI-cited pages are under 1,000 words. Specificity beats length.
Schema markup had essentially zero impact. The "GEO" services agencies sell as separate line items aren't doing what they claim.
The Shopify stores winning in the next 12 months aren't picking one or the other. They're building strong SEO foundations and adding the layer that gets them cited in AI search.
Both matter.
Repositioned a Toronto-based café brand through strategic branding, customer experience design, menu optimization, and marketing initiatives. Implemented across a live operating business, resulting in measurable revenue growth, improved customer retention, and expanded audience reach.
Excellent case study. It's always rewarding to see thoughtful brand strategy translate into real growth, stronger customer loyalty, and broader audience reach.
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