Clichés in logo design: globe, gear, leaf — how to avoid banality

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Publication date
24.09.2026
Clichés in logo design: globe, gear, leaf — how to avoid banality
In this article
Some designers are convinced that clichés are a specific list of symbols: globe, gear, leaf, lightbulb. It is enough to exclude them from the brief — and the logo will become original. In practice, it is the opposite: banality is not born from the symbol, but from the way it is presented. The same globe can be turned into a recognizable sign if you change the angle, technique, or context — a ban on the image works worse than working with its form.

How to test an idea for banality before it appears in a presentation

The simplest test is Google Images. If the first 20 results for the query "logo + your industry" visually overlap with the sketch on the table, the idea should be reconsidered. But this is only the first filter, not the only one. Practicing designers have more effective techniques that rarely appear in popular articles about "5 clichés to avoid".

  1. Second-level associative map. The first word that comes to mind on the topic of the brand is what will come to mind for everyone else, including competitors and AI. You need to write down 10–15 associations, discard the first three or four — they are the clichés — and work with the connections that lie at the intersection of two distant concepts, not with a direct synonym.
  2. Deconstruction of competitors. Collect 20 logos of direct competitors and analyze their components: shape, color, font group, presence of an icon. If 15 out of 20 use the same construction (for example, a circular icon to the left of the name), then this is a categorical template that you must physically move away from — not improve it, but create a logo with a different structure.
  3. Check for negativity. Ask yourself: what does this symbol mean in your category if you remove the positive context? A leaf in ecology — is no longer 'nature', but a visual signal 'we are trying to look green without proof'. Recognition of such interpretation often eliminates the idea by itself.
  4. Test on 16×16 pixels. Industry standard — a logo should be readable at favicon size. This professional requirement for simplification is often the reason why a sign reduces to the most primitive geometry — a circle, triangle, or checkmark. If after compression to 16 pixels the sign turns into an abstract blob that coincides with a dozen other abstract blobs, the idea needs to be complicated not by details but by asymmetry.

Industry clichés are broader than 'globe and gear'

Each industry has its own list of typical motifs, and it is much longer than three popular examples that bounce from article to article.

IndustryTypical clichéWhy it emerged
IT and technologyGrid globe, pixel squares, schematic brainLegacy of corporate design 2000-style + identical libraries in template constructors
Real estateHouse with a chimney, key, silhouette of a roof as a checkmarkDirect illustration of a service without metaphor
MedicineRed Cross, snake and chalice, drop of bloodRegulatory restrictions on medical symbolism
EducationOwl, open book, graduation capDirect association 'wisdom = owl' without rethinking
Ecology / organicLeaf, drop of water, earth in the palm of the handThe category produces images of 'naturalness' en masse and identically
Coffee and foodGrain, cup with steam, ear of grainLiteral illustration of the product instead of the brand story
FinanceGrowing chart, coin, shieldSymbols of 'reliability' are copied from bank to bank

The general principle in all cases is the same: the weakness of these images does not lie in the symbols themselves, but in the combinatorics. Gear plus key, leaf plus drop, grain plus cup — these are combinations that first come to mind both for a person and for an algorithm. When attempting to register such a mark as a trademark, lawyers often point to the low distinctive capacity precisely because the combination is already occupied by dozens of similar registrations in the registry.

Literalness — not always a mistake

Here it is important to distinguish two different cases that in superficial articles are merged into one piece of advice 'do not make it obvious'. A literal symbol becomes a mistake when it is the only idea of the logo and adds nothing else — just an icon instead of meaning. But literalness can be a conscious tactic if it is carried to the utmost simplicity and presented with an unexpected execution.

Apple — a literal symbol, but with a bitten edge, which turns the recognizable fruit into a mystery and simultaneously solves a practical task — to distinguish an apple from a cherry on a small screen. The arrow in the FedEx logo between E and x is also a literal metaphor of motion, but it is hidden in the negative space, not highlighted as a separate icon. The rule is simple: an obvious symbol works if the designer adds a technical insight to it — a form, negative space, execution detail that cannot be predicted statistically. If such an insight is missing, literalness turns into a template.

Why the market repeatedly chooses the same

Behind clichés lies not a lack of taste, but the logic of risk minimization. A client who approves a logo rarely wants to be the first to use an unfamiliar form — they want to be like the category leaders so that the customer immediately perceives the signal 'we are just as reliable as major players.' This is market psychology of imitation, not creative limitation of the designer.

The second factor is the availability of tools. Mass constructors like Canva and Turbologo work with limited libraries of ready-made icons, and the cheaper and faster a logo is needed, the higher the chance it will be assembled from the same 200–300 elements as thousands of other small businesses. In this sense, clichés are a side effect of design democratization: the tool became accessible to everyone, but the original set of images remained small.

How minimalism accidentally led to uniformity

The requirement for 'flat design' and mobile readability originally addressed a technical task — the logo had to look equally good on a smartphone screen, in a favicon, and in a social network avatar. But this requirement revealed a side effect: the more the simplification, the fewer unique features remain by which the eye can be caught. Senior Lecturer at Istituto Marangoni Gregory Poggetti notes that approximately 99% of brand logos today are black text on a white background, simply because this combination is maximally readable in the Instagram interface and on small screens.

Luxury fashion gave the most vivid example of this wave — it is called the blanding. Burberry, Balenciaga, Celine, Calvin Klein and Saint Laurent almost simultaneously switched to uniform uppercase letters without serifs, abandoning historical letterings. Each brand solved a reasonable task individually — to be readable in the digital environment — but in sum the industry synchronously freed itself from individuality. This proves that clichés are not always born from laziness: sometimes they are created by an entire system of stimuli acting on dozens of companies at once.

The AI-design cycle exacerbates the problem rather than solving it

Generative neural networks are often sold as a way to escape stereotypes — 'the neural network will come up with something new.' In reality, the mechanism is the opposite: the model does not invent an image, but predicts the statistically most likely result based on training data. If the dataset is dominated by the same sans-serif fonts, round icons and a palette of blue and green, the model will reproduce exactly those — this phenomenon is sometimes described as 'copying a copy,' when each new generation of images approaches the averaged denominator more and more closely, rather than moving away from it.

Platforms like Pinterest and Dribbble work on a similar logic in terms of designers' taste: the algorithm shows what has already received many likes, the designer is inspired by it and creates a similar version, which again gets likes and again ends up in inspiration collections. The closed loop reinforces the averaging just as the algorithm of a generative model does — both mechanisms are optimized to repeat what is popular, rather than to seek what is rare.

What to do about this in practice

  • Using neural networks and stock collections to gather clichéd references, rather than generating the final design — this accelerates problem diagnosis, not the creative task.
  • Creating a brand mark at the intersection of two distant categories, rather than relying on one expected industry symbol.
  • Checking the combination of elements for legal distinctiveness in advance, if trademark registration is planned — weak combinations like 'gear plus key' are almost guaranteed to be already taken.
  • Remember that simplification for mobile readability does not have to kill individuality — the task is to find the minimal form that still belongs only to this brand, not to the entire category.

How to test an idea for banality before it appears in a presentation

The simplest test is Google Images. If the first 20 results for the query "logo + your industry" visually overlap with the sketch on the table, the idea should be reconsidered. But this is only the first filter, not the only one. Practicing designers have more effective techniques that rarely appear in popular articles about "5 clichés to avoid".

  1. Second-level associative map. The first word that comes to mind on the topic of the brand is what will come to mind for everyone else, including competitors and AI. You need to write down 10–15 associations, discard the first three or four — they are the clichés — and work with the connections that lie at the intersection of two distant concepts, not with a direct synonym.
  2. Deconstruction of competitors. Collect 20 logos of direct competitors and analyze their components: shape, color, font group, presence of an icon. If 15 out of 20 use the same construction (for example, a circular icon to the left of the name), then this is a categorical template that you must physically move away from — not improve it, but create a logo with a different structure.
  3. Check for negativity. Ask yourself: what does this symbol mean in your category if you remove the positive context? A leaf in ecology — is no longer 'nature', but a visual signal 'we are trying to look green without proof'. Recognition of such interpretation often eliminates the idea by itself.
  4. Test on 16×16 pixels. Industry standard — a logo should be readable at favicon size. This professional requirement for simplification is often the reason why a sign reduces to the most primitive geometry — a circle, triangle, or checkmark. If after compression to 16 pixels the sign turns into an abstract blob that coincides with a dozen other abstract blobs, the idea needs to be complicated not by details but by asymmetry.

Industry clichés are broader than 'globe and gear'

Each industry has its own list of typical motifs, and it is much longer than three popular examples that bounce from article to article.

IndustryTypical clichéWhy it emerged
IT and technologyGrid globe, pixel squares, schematic brainLegacy of corporate design 2000-style + identical libraries in template constructors
Real estateHouse with a chimney, key, silhouette of a roof as a checkmarkDirect illustration of a service without metaphor
MedicineRed Cross, snake and chalice, drop of bloodRegulatory restrictions on medical symbolism
EducationOwl, open book, graduation capDirect association 'wisdom = owl' without rethinking
Ecology / organicLeaf, drop of water, earth in the palm of the handThe category produces images of 'naturalness' en masse and identically
Coffee and foodGrain, cup with steam, ear of grainLiteral illustration of the product instead of the brand story
FinanceGrowing chart, coin, shieldSymbols of 'reliability' are copied from bank to bank

The general principle in all cases is the same: the weakness of these images does not lie in the symbols themselves, but in the combinatorics. Gear plus key, leaf plus drop, grain plus cup — these are combinations that first come to mind both for a person and for an algorithm. When attempting to register such a mark as a trademark, lawyers often point to the low distinctive capacity precisely because the combination is already occupied by dozens of similar registrations in the registry.

Literalness — not always a mistake

Here it is important to distinguish two different cases that in superficial articles are merged into one piece of advice 'do not make it obvious'. A literal symbol becomes a mistake when it is the only idea of the logo and adds nothing else — just an icon instead of meaning. But literalness can be a conscious tactic if it is carried to the utmost simplicity and presented with an unexpected execution.

Apple — a literal symbol, but with a bitten edge, which turns the recognizable fruit into a mystery and simultaneously solves a practical task — to distinguish an apple from a cherry on a small screen. The arrow in the FedEx logo between E and x is also a literal metaphor of motion, but it is hidden in the negative space, not highlighted as a separate icon. The rule is simple: an obvious symbol works if the designer adds a technical insight to it — a form, negative space, execution detail that cannot be predicted statistically. If such an insight is missing, literalness turns into a template.

Why the market repeatedly chooses the same

Behind clichés lies not a lack of taste, but the logic of risk minimization. A client who approves a logo rarely wants to be the first to use an unfamiliar form — they want to be like the category leaders so that the customer immediately perceives the signal 'we are just as reliable as major players.' This is market psychology of imitation, not creative limitation of the designer.

The second factor is the availability of tools. Mass constructors like Canva and Turbologo work with limited libraries of ready-made icons, and the cheaper and faster a logo is needed, the higher the chance it will be assembled from the same 200–300 elements as thousands of other small businesses. In this sense, clichés are a side effect of design democratization: the tool became accessible to everyone, but the original set of images remained small.

How minimalism accidentally led to uniformity

The requirement for 'flat design' and mobile readability originally addressed a technical task — the logo had to look equally good on a smartphone screen, in a favicon, and in a social network avatar. But this requirement revealed a side effect: the more the simplification, the fewer unique features remain by which the eye can be caught. Senior Lecturer at Istituto Marangoni Gregory Poggetti notes that approximately 99% of brand logos today are black text on a white background, simply because this combination is maximally readable in the Instagram interface and on small screens.

Luxury fashion gave the most vivid example of this wave — it is called the blanding. Burberry, Balenciaga, Celine, Calvin Klein and Saint Laurent almost simultaneously switched to uniform uppercase letters without serifs, abandoning historical letterings. Each brand solved a reasonable task individually — to be readable in the digital environment — but in sum the industry synchronously freed itself from individuality. This proves that clichés are not always born from laziness: sometimes they are created by an entire system of stimuli acting on dozens of companies at once.

The AI-design cycle exacerbates the problem rather than solving it

Generative neural networks are often sold as a way to escape stereotypes — 'the neural network will come up with something new.' In reality, the mechanism is the opposite: the model does not invent an image, but predicts the statistically most likely result based on training data. If the dataset is dominated by the same sans-serif fonts, round icons and a palette of blue and green, the model will reproduce exactly those — this phenomenon is sometimes described as 'copying a copy,' when each new generation of images approaches the averaged denominator more and more closely, rather than moving away from it.

Platforms like Pinterest and Dribbble work on a similar logic in terms of designers' taste: the algorithm shows what has already received many likes, the designer is inspired by it and creates a similar version, which again gets likes and again ends up in inspiration collections. The closed loop reinforces the averaging just as the algorithm of a generative model does — both mechanisms are optimized to repeat what is popular, rather than to seek what is rare.

What to do about this in practice

  • Using neural networks and stock collections to gather clichéd references, rather than generating the final design — this accelerates problem diagnosis, not the creative task.
  • Creating a brand mark at the intersection of two distant categories, rather than relying on one expected industry symbol.
  • Checking the combination of elements for legal distinctiveness in advance, if trademark registration is planned — weak combinations like 'gear plus key' are almost guaranteed to be already taken.
  • Remember that simplification for mobile readability does not have to kill individuality — the task is to find the minimal form that still belongs only to this brand, not to the entire category.

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