This week's biggest story is a genuine celebration of urban effort: Boston Consulting Group published its first Intelligent Cities Index, assessing 61 cities across 39 countries on how they're putting technology to work for residents. What stands out most isn't just who's on top — it's how many different, equally valid paths cities are taking to get there. London leads on outcomes, Madrid on strategy, Dubai on adoption, New York on ways of working, Amsterdam on enablers. No single template, no one right way to be a smart city. Meanwhile, on the marketing side, Tracksuit's acquisition of AI-monitoring startup Hall shows brand measurement evolving fast to keep pace with how people discover things through AI. Two fields, both moving forward, each with something to learn from the other.
Editor's Pick
via PR Newswire / Boston Consulting Group · July 27, 2026
Boston Consulting Group has published its inaugural Intelligent Cities Index, ranking London, Dubai, New York City, Washington DC and Amsterdam at the top of an assessment of 61 major cities across 39 countries. The most encouraging finding is how the leadership breaks down: London leads on resident outcomes, Madrid on strategy, Dubai on adoption, New York on ways of working, and Amsterdam on enablers. No city sweeps every category — and that's genuinely good news for the hundreds of cities not in the top five. It means there's no single formula to chase, only a distinctive strength worth building on. BCG's own researchers frame it as a roadmap rather than a scoreboard: cities don't need world-class infrastructure or deep funding to start improving resident outcomes with AI-enabled services — meaningful progress is available from wherever a city is starting. That's a genuinely energizing message for city leaders everywhere, not just the household names at the top.
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This Week in City Branding
via Adweek · July 21, 2026
Brand-tracking platform Tracksuit has acquired Hall, a startup that measures how brands appear in responses from AI assistants like ChatGPT and Gemini, adding AI-visibility monitoring to its existing consumer-sentiment dashboards. The reasoning from Tracksuit's CEO is simple and important: brand now lives in two places — human minds and AI outputs — and marketers need to see both at once. For place branding, this is a preview of a near-future problem: as more people ask AI assistants "what's Bremen like?" or "should I visit X city," how a place is described inside those answers becomes a brand asset in its own right, every bit as real as a tourism campaign. Cities that only measure human sentiment will increasingly be missing half the picture.
via Smart Cities Dive · July 24, 2026
Raleigh, North Carolina's CIO Mark Wittenburg describes onboarding the city's AI service agent, Ral-E, the same way he'd onboard a new help-desk hire: no admin access on day one, trust built gradually. The agent now routes citizen service tickets correctly 98-99% of the time. The branding lesson sits one layer beneath the efficiency story: the way a city chooses to introduce, name, and gradually trust an AI system shapes how residents experience that city's competence and care. "Ral-E" is a friendlier front door than a generic chatbot — a small naming decision that's actually an identity decision. Cities rolling out AI agents are, whether they realise it or not, designing a new character in their brand's cast.
via Cities Today / OECD · July 2026
A new OECD toolkit, drawing on a survey of 76 cities across 43 countries, finds that 79% of cities have tried to adopt an idea from another city — but fewer than half fully implemented it. The OECD's core argument is that successful adoption isn't copy-paste; it's "contextualised reinterpretation," fitted to a city's own institutions and politics. This maps directly onto a recurring failure mode in place branding: cities import a slogan or campaign template from a city they admire, without doing the harder work of adapting it to their own actual data, identity and constraints. A borrowed brand strategy fails for the same reason a borrowed policy does — it was never really adapted, just relocated.
via Creative Boom · July 23, 2026
Design studio Koto has rebranded restaurant-discovery app Franki around the idea "Make Time Dance," explicitly built on the belief that the best recommendations come from real people rather than algorithms. It's a sharp positioning choice at a moment when nearly every discovery product is leaning harder into AI personalisation. For place brands, it's a useful counter-signal: as more city content gets AI-generated (including, transparently, the daily brand narratives this project produces), the credibility of that content will increasingly depend on being visibly grounded in real, verifiable local signals — not on hiding the machinery, but on being honest about what's real underneath it.
Branding Insight
Put this week's two biggest stories side by side — BCG measuring urban intelligence with no brand dimension, and Tracksuit racing to measure brand inside AI systems — and an important shift comes into focus: brand measurement is evolving fast, and cities are a natural next frontier for it. As AI-driven measurement matures, expect perception and positioning to become a more central part of how "smart" or "intelligent" a city is understood to be — not just an afterthought to infrastructure metrics.
📡 On Our Radar
Raleigh's "Ral-E" and "Alli" AI agents — a naming and trust-building case study worth revisiting when this project's own manual-data components (governance, communication) get their next update. · Smart Cities Dive