Meet Roger, a content marketer driven by his love for online search, digital marketing, and performance marketing. When he's not immersed in the latest updates on Google, AI and social media, you'll find him passionately crafting strategies to simplify online searches for people, sparing them the frustration of navigating through endless pages. As a marketer, Roger Match has turned into the perfect match for Superside, helping us showcase our purpose, objectives and essence to the world.
Type is everywhere, hiding in plain sight. You know the shape of a letter long before you'd ever think to name its font. The Coca-Cola script, the Netflix wordmark, even the Futura etched onto the Apollo 11 plaque on the Moon.
On this page, we cover what makes each font iconic, who designed it and where you've seen it, split into timeless classics and modern brand fonts. We also look at why the world's biggest brands now commission their own typefaces, and how that same craft scales into enterprise design systems.
Product photography has always been a trade-off. If you wanted distinctive, high-caliber images, you booked a studio, hired a crew and braced yourself for the bill. If you wanted affordable images fast, you reached for a stock library and accepted the hidden tax on what makes your brand stand apart. You could have quality and originality, or inexpensive convenience, but rarely both.
Now AI offers a third option. Today's generative tools let you create photorealistic, on-brand product images in minutes, at a fraction of the cost of a shoot, in as many variations as you need. You can visualize a product in a dozen settings before committing, localize imagery for every market and refresh a catalog continuously rather than once a year.
The new logo design lands. The website goes live. The launch video is shared. Then everyone has an opinion, and before you know it, the CEO asks, "Did the rebrand work?"
For many marketing leaders, that's when the scramble starts. Without a pre-launch baseline or measurement plan, they can report what launched, but not whether the rebrand actually changed brand awareness, public perception or business performance.
Ask any creative leader what they need right now and you'll likely hear the same answer: people who can produce excellent creative work and use AI to do more of it, faster.
Finding them is another matter. Exceptional creative thinking has always been hard to find, and proven AI expertise is still in short supply. Requiring both capabilities in the same person narrows the pool considerably.
Most creative teams don't lack enthusiasm for AI. They lack a clear path from experimentation to adoption. They invest in AI-powered tools, test prompts and piece together one-off workflows, but never quite pick up speed, because those efforts never become operationalized.
An AI roadmap changes that.
Brand architecture starts with a simple question: how should our brands relate to each other?
The answer determines whether products share the parent brand's reputation or stand alone, and whether new launches build on existing brand equity or start from scratch. Ultimately, it shapes whether audiences see a clear, connected portfolio or a collection of unrelated brands.
We know that choosing a creative agency has become much harder over the past few years. Almost every agency now claims to use artificial intelligence, but those claims reveal very little about how the work actually gets done.
If you're not sure how to distinguish partners who've genuinely rebuilt their operations around AI from those who've simply added AI tools to old ways of working, this guide is for you.
Every performance marketer dreams of ads that shoot the lights out. But while marketing teams often have plenty of great campaign ideas, it can be tough to produce enough high-quality, on-brand creative to test properly and prevent ad fatigue.
The good news is that AI can remove this creative bottleneck and generate ad variations at a speed no manual process can match. The bad news is that a high volume of AI-generated ads won't get you very far if the ads are generic or off-brand.
AI adoption is now widespread across the creative landscape. According to research from Adobe and Advanis, creative professionals use AI on more than 40% of the projects they produce, and many use AI tools for at least half their work week.
In most setups, however, those tools live in separate tabs, disconnected from the design files, brand assets and project systems where the work actually happens. Teams still move context, files and outputs between systems by hand, which adds creative friction and eats into the efficiency gains AI promised.
