A significant part of contemporary photography has gradually stopped questioning how to represent the world and has turned its attention to a different question: how can an image construct a reality rather than merely recording it? This is a decisive shift, marking the overcoming of the nineteenth-century idea of photography as a mere testimony of the visible.

Today, the photographer is no longer just an observer of reality but also someone who reassembles, interprets, and questions its relationships. Within this scenario, the research of Marco Maraviglia occupies an original position, as it addresses the theme of image construction without ever severing the link with reality. His photographs do not arise from the invention of fantastic worlds but from the patient recomposition of real fragments. It is this tension between what exists and what could exist that gives rise to what the author defines, with a term both simple and illuminating, nonexistences.

The word deserves attention. It does not indicate an illusion or a perceptual trick. A nonexistence is a place that does not exist but could have existed; a space constructed exclusively with authentic elements, removed from their original context and recomposed according to a different logic. Every dome, every staircase, every perspective, every building truly belongs to Naples. It is their relationship that changes. Photography does not invent new objects: it reinvents the relationships between those that already inhabit the world. This may be the deepest intuition of Maraviglia's work. Reality is not denied but interrogated in its still unexplored possibilities.

It is through Impossible Naples Project, a research initiative that began in 2000 and was made public sixteen years later at the PAN – Palazzo delle Arti di Napoli, that this reflection finds its most complete form. At first glance, the images seem to belong to the realm of surrealism or staged photography. The perspectives inevitably recall Escher, some constructions engage with the tradition of impossible architectures, while the precision of digital montage provides a surprising optical credibility. But stopping at this reading would mean grasping only the surface of the project. The truly original aspect is not the deformation of space, but the way Maraviglia transforms the city into a mental structure.

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Every city indeed exists at least twice. It exists in physical space, measurable through maps, coordinates, and distances, but it also exists in the memory of those who traverse it. It is a city made of habitual paths, sudden glimpses, places that become familiar despite being distant, and emotional connections that replace geographical ones. No one remembers a city like an urban planner. Everyone unwittingly constructs their own inner cartography. Marco Maraviglia's photographs seem to make this invisible geography visible. Naples is not altered; it is remembered. Or rather, it is reconstructed according to the very functioning of memory, where time compresses distances and imagination completes what experience leaves unfinished.

From this perspective, his photographic archive assumes a central role. For most photographers, the archive represents a place of preservation, a repository of completed work. For Maraviglia, the opposite occurs. Thousands of images created over decades for publishing and travel photography are continuously reopened, deconstructed, and recombined. The archive does not safeguard the past: it produces new images. It is a living organism, a permanent laboratory in which each photograph relinquishes its documentary autonomy to become part of a broader construction. The author has humorously referred to a kind of “ecological photography”: nothing is created ex novo; everything arises from the reuse of his own iconographic heritage. However, behind this definition lies a much deeper reflection. Memory is never a static deposit; it is a continuous process of rewriting.

It is significant that Maraviglia never attributes a central role to technology. His works are created using Photoshop, but the tool remains in the background. Technique never becomes the subject of the work. It would be like attributing the meaning of a painting to the type of brush used by the painter. What matters is the compositional thought. His images are not the result of a digital processing for its own sake, but of a montage process in which photographs taken at different times find a new syntax. Rather than photomontage, one might speak of photographic writing. Each fragment retains its own optical truth but radically changes meaning when it enters into relation with others.

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This idea of photography as construction also permeates the relationship that Maraviglia establishes with the audience. His works do not ask for passive contemplation. They require participation. The viewer is invited to recognize the places, to mentally reconstruct the spaces, to question what they are observing. It is no coincidence that during the exhibition at the PAN, recognizing the monuments became an integral part of the exhibition experience. The image does not offer an answer but poses a question. Photography thus transforms into an exercise of the gaze, an invitation to observe the world we believe we know with greater attention.

This dialogical dimension also emerges in the long processing times of the works. Metamorfosi Reloaded, probably the most emblematic work of the project, has matured over approximately ten years, progressively changing also thanks to the dialogue with architects, graphic designers, photographers, and artists involved in the happenings organized by the author. This is an aspect worth emphasizing, as it contrasts with the culture of immediacy that characterizes contemporary visual production. Maraviglia's images do not arise from a sudden intuition. They sediment slowly. They grow, change, accept doubt and revision. In a time that measures the value of images by the speed of their dissemination, this slowness takes on almost the value of an ethical choice.

There is also a less evident but equally important element that helps to understand the depth of his research. Before being an image maker, Marco Maraviglia has been an indefatigable reader of images. Books like Recengrafie testify to decades of reflections dedicated to the great protagonists of photography and art, from Gian Paolo Barbieri to Helmut Newton, from Robert Mapplethorpe to Franco Fontana, from Bruno Munari to Joan Miró, as well as numerous lesser-known but no less significant authors. This is not a parallel activity to his artistic production. On the contrary, it constitutes the ground on which that production has formed. Those who observe the photographs of others with critical attention inevitably end up constructing their own with a different awareness. Maraviglia's nonexistences do not arise solely from a photographic gaze; they arise from a long education of the gaze.

In this sense, his work transcends the traditional distinction between photographer, graphic designer, author, and critic. The different experiences intertwine to build a single practice of the image, in which production, reflection, and dissemination become complementary aspects of the same research. Even Ritracordi, deliberately distant from the language of the technical manual, confirms this attitude. More than teaching how to photograph, Maraviglia invites one to look. Or, as he likes to say, to “listen with the eyes”. This formula may seem simply poetic, yet it accurately describes the core of his thought: every image possesses a dimension that goes beyond what it shows. To photograph means learning to grasp also what remains silent.

In the age of artificial intelligence, where constructing impossible cities has become an exercise accessible to anyone, Marco Maraviglia's research paradoxically gains new relevance. Not because it anticipates technology, but because it reminds us of a fundamental distinction. An algorithm can produce infinite images. It is much more challenging to construct an imaginary. Impossible Naples Project is not a collection of spectacular visions, but a research developed over more than twenty years, fueled by a coherent gaze, a patiently built archive, and a continuous reflection on the relationship between photography, memory, and urban space.

Perhaps this is the rarest quality of Marco Maraviglia's work. His pieces do not invite us to flee from reality but to imagine it differently. His impossible cities do not replace Naples: they reveal a normally invisible dimension of it. Every place, he seems to suggest, contains many more possibilities than we are willing to see. Photography, then, no longer coincides with the act of stopping the world. It becomes the gesture, more complex and fertile, of continuing to imagine it.

Biographical Note

Marco Maraviglia is a photographer, graphic designer, and author. He has collaborated for many years with the publishing and tourism sectors and has developed, starting in 2000, Impossible Naples Project, a research dedicated to the construction of his famous nonexistences, images obtained exclusively by recomposing photographs from his own archive. Founder of the Associazione Culturale Photo Polis, he is the creator of the PAM – Photo Art Market. Alongside his artistic production, he engages in intense critical reflection on photography, documented in the volumes Recengrafie and Ritracordi, where he combines analysis, experience, and dissemination with the aim of educating towards a more conscious gaze.

Visit Marco Maraviglia's website https://impossiblenaples.weebly.com/collection.html

Recengrafie on Amazon 

 

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On July 7, 2026, Meta released Muse Image, the first visual generation model developed in-house by Meta Superintelligence Labs (MSL), the division led by Alexandr Wang. The launch comes about three months after the debut of Muse Spark, the language model that replaced the Llama family in Meta's consumer products in April, marking a precise strategic shift: the company stops relying on third-party models — until now, it had integrated technologies from Midjourney and Black Forest Labs — to bring image generation entirely under its own technological and product control.

For those working in visual communication, the news is not just another generative model, but the environment in which this model exists: not a separate tool to open, export, and then reload elsewhere, but a native function of Meta AI, Instagram Stories, WhatsApp — with Facebook and Messenger coming soon — and, shortly, of the advertising suite Advantage+. Generation, editing, publishing, and advertising share the same infrastructure for the first time.

How it works: a model that thinks before drawing

Muse Image does not simply translate a text prompt into an image. The model operates as an agent: before generating, it plans the layout, combines multiple reference photographs, and — when necessary — queries the web to anchor the result to real and updated information. During training with reinforcement learning, the system also learned to write and execute code for tasks such as creating functional QR codes or data graphics, subsequently conditioning visual generation on the output of that code to enhance accuracy. The model also includes a self-refinement mechanism: it reviews and corrects its work within its reasoning process before returning the final result, and it improves its performance the more computation time it is given during inference.

Operationally, users can start from scratch, modify existing photos, remove elements, generate infographics with integrated readable text, or intervene with sketches directly on the image to indicate a correction. A mention (@) function is also planned to call public Instagram accounts and use their content as visual reference in new creations — a feature that, as we will see, has proven to be the most controversial point of the launch.

Performance: second place, not first

Meta itself has made internal benchmarks public, a rare and significant data point for a company aiming to compete on visual quality: Muse Image ranks second in the Arena leaderboard for text-to-image generation, with an Elo score of 1,280, behind OpenAI's GPT Image 2 (1,385) — a gap that corresponds to an estimated 64% win rate in direct matchups in favor of the competing model. In editing tasks, both on single images and multiple images, Muse Image surpasses Google's Nano Banana 2. It is an honest positioning rather than a triumphant one: Meta does not claim technical leadership but invests in widespread distribution within its ecosystem as a competitive advantage alternative to model superiority.

Entering advertising production

The most relevant point for those working on the brand and communication side is the announced integration with Advantage+ Creative, Meta's system for automated generation of advertising variants. In the coming weeks, advertisers and agencies will be able to use Muse Image to adapt visual elements, change styles, and produce variants consistent with brand identity starting from existing creative assets, reducing the number of manual iterations needed for each campaign. This represents a qualitative leap compared to previous tools for automatic ad generation: no longer generic variants, but variations that the model itself describes as "on-brand," generated from the client's actual material.

What changes for graphic designers and social media managers

The convergence of generation, editing, distribution, and advertising on the same platform concretely reshapes some steps in the creative workflow. The first effect is the compression of the supply chain: an image can be created, corrected with a sketch, published on Stories, and — soon — transformed into an advertising variant without ever leaving the Meta ecosystem. For the social media manager, this means less time spent on technical steps of exporting and formatting, but also less control over the intermediate process: style choices, palettes, and composition are partially delegated to the model's internal reasoning.

The second effect concerns the governance of brand materials. When the same engine generates both organic and advertising content, visual consistency becomes easier to achieve technically, but harder to oversee editorially: who defines the limits of what the model can alter in a consolidated visual identity? The responsibility for creative oversight shifts from the individual asset to the rules and prompts that govern the system.

The consent issue: the feature withdrawn from Instagram

An update is essential to complete the picture honestly, and it arrived just a few days after the launch. The feature that allowed users to mention public Instagram accounts to reuse their photos in AI generations was activated by default, with the opt-out relegated to a barely visible setting. The reaction was swift: widespread criticism over the lack of explicit consent and a stance from the SAG-AFTRA union prompted Meta to withdraw the feature from Instagram just days later, while keeping Muse Image active on Meta AI and WhatsApp. In parallel, Meta has announced the development of an invisible watermarking system, called Content Seal, designed to identify images generated or modified by the model.

For those working professionally with third-party images — clients, influencers, editorial content — this episode serves as an operational reminder more than a news event: the technical integration between generation and social distribution also accelerates the speed at which a personal data consent issue can turn into a public reputational crisis. The next phase of visual generation on social media will not only hinge on the quality of the model but on the ability of platforms — and those who use them for work — to make the provenance of every published image traceable and verifiable.

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There are images that tell us what we see. And then there are images that seem to hold something more fragile: a presence, a silence, an emotional distance, a truth that does not want to be explained.

The photography of Serena Salerno belongs to this second possibility of vision.

Born in Torre Annunziata, in a landscape dominated by the magnetic presence of Vesuvius and the restless light of the Mediterranean, Serena Salerno has gradually built an intimate, essential, deeply recognizable visual language. Her photographs never seek immediate effect. They do not seduce with the noise of spectacular imagery. They prefer to approach slowly, like things that ask for attention.

Her work inhabits a delicate space between portrait, personal diary, and author photography. Each image seems to arise from an encounter before it comes from a shot. There is always a relationship, a threshold crossed with gentleness, a silent pact between the observer and the observed.

In her photographs, light is never just illumination. It is emotional matter. It caresses, reveals, protects. It builds suspended atmospheres, where bodies, faces, environments, and everyday gestures seem to be removed from ordinary time to become memory.

When the female body enters her work, even in nudity, it never becomes an object of exhibition. Rather, it is a poetic territory, fragile yet powerful, through which to speak of identity, vulnerability, freedom, and presence.

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The choice of analog photography consistently accompanies this vision. Film imposes slowness, listening, attention. Each frame becomes a decision. Each wait is part of the image. In a time dominated by the continuous and distracted production of photographs, Serena Salerno chooses a more contained, almost meditative practice, where error, grain, and imperfection become part of the truth of the gaze.

Her journey has led her to engage with significant professional and cultural contexts, including living and working in Paris, a city that continues to be one of the symbolic centers of contemporary photography. Her works have been published and selected by platforms such as PhotoVogue, Perimetro, FOLKR, Flewid, and other platforms dedicated to contemporary visual research.

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But what makes Serena Salerno an interesting voice is not just external recognition. It is the consistency with which she pursues a silent and intense photography, capable of restoring dignity to the people portrayed without ever turning them into cold icons or consumable images.

Her photographs ask for time. They do not exhaust themselves in a quick glance. They linger, sediment, and open questions. They speak of bodies, homes, skin, light, waits, solitudes, proximities. They especially speak of the increasingly rare possibility of looking at someone without possessing them.

In this lies perhaps the deepest strength of her research: the ability to transform intimacy into language, fragility into image, human presence into a form of visual poetry.

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Currently, Serena Salerno is working on her first book, a visual and intimate diary that spans thirteen years of photographs dedicated to the female body and the presence of women. In this project, images, texts, and poems intertwine to create an open, fragile, and necessary emotional journey, inviting the viewer to enter the deepest origin of her research.

This is not just a photographic collection, but a sensitive analysis of the female world observed from shadowy areas, from shared and often silenced feelings, from that emotional matter that accompanies many women's experiences and rarely finds an authentic space for expression. The book thus emerges as a form of crossing: of bodies, memory, identity, obsessions that become language, and wounds that can slowly transform into image.

The book will be published by the independent publishing house Miracoli Visivi ( https://www.instagram.com/miracoli_visivi) thanks to the great support of Alessia Rollo ( https://www.instagram.com/alesrollo )
 

For ILAS, it is a source of pride to see Serena Salerno among its former students and to witness her journey affirming itself with such a personal, sensitive, and recognizable voice in the landscape of contemporary photography.

Serena Salerno on Instagram https://www.instagram.com/_serenasalerno_?

Website
www.serenasalerno.com

They have written about Serena

https://www.gqitalia.it

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From search engine to answer engine: how GEO, Generative UI and the new economy of citability are reshaping digital marketing

For more than a quarter of a century, the invisible architecture of the web was built around a model that seemed almost unchangeable: a user typed a few keywords, an algorithm scanned the web, and Google returned an ordered page of results. The famous “ten blue links” were not just a visual format. They were the way we learned to search, choose, compare, buy and inform ourselves.

That model defined Google‘s global success. At the same time, it gave rise to an entire industry: SEO, digital advertising, content marketing, web writing, landing page design and organic traffic measurement.

Today, that paradigm has not disappeared, but it has lost its exclusive centrality.

With the introduction and progressive expansion of AI Overviews — summaries generated by Gemini models directly within the results page — and with the rise of conversational interfaces such as AI Mode, Google is changing its nature. It is no longer only a search engine, a system that tells us where to find answers. It is increasingly becoming an answer engine: an environment capable of formulating a synthesis, organizing it, contextualizing it and suggesting further paths of exploration.

Traditional links will not vanish. They will continue to be part of the web‘s infrastructure. But their role is changing. They will no longer always be the starting point of the search experience. In many cases, they will become supporting elements, cited sources, documentary traces and authoritative confirmations within an AI-generated answer.

For brands, designers, copywriters, schools, companies and communicators, this shift marks a radical change in perspective. The question is no longer just: “How do I rank first on Google?”. The deeper question is: “Why should a generative system trust me?”.

1. The SERP becomes fluid: the rise of Generative UI

The most visible change is not only textual. It is also a change in interface.

For years, Google‘s results page was a relatively stable environment: a sequence of links, titles, descriptions, ads, images, maps and information boxes. Users compared options, chose a result and left Google to enter an external website.

With Generative AI, this experience becomes more fluid. The SERP is no longer just an ordered list of pages. It becomes a dynamic space, capable of adapting to the user‘s intent.

If someone searches for a definition, Google can provide an immediate summary. If they search for a travel itinerary, it can propose a structure organized by stages. If they ask how to build an editorial plan, it can generate an operational outline. If they compare products, courses, services or solutions, it can return tables, decision criteria, follow-up questions and suggested paths for further exploration.

The results page increasingly behaves like a generative interface: it does not merely display documents; it builds an environment for consultation.

This does not mean that every search will become a real-time mini-application. That would be an oversimplification. But the direction is clear: the result is no longer necessarily a list of external destinations. More and more often, it is an articulated answer generated within Google, integrating sources, formats and levels of depth.

2. The rise of zero-click searches

This transformation is part of a phenomenon that has already been widely observed: zero-click search.

The term refers to search sessions that end directly on Google‘s results page, without the user clicking through to an external result. The reason is simple: very often, the answer is already there. A date, a definition, a formula, a timetable, a summary, a review, a map, a comparison.

The most widely cited studies on the topic estimate that a very significant share of Google searches ends without a click to the open web. Percentages vary depending on markets, devices and research methodologies, but the strategic signal is clear: a growing portion of users‘ information needs is being satisfied directly within Google‘s ecosystem.

AI Overviews intensify this trend. If Google once displayed snippets, boxes and short answers, it can now generate more structured summaries. The user receives not just a clue, but an already organized answer. In many cases, there is no longer a need to open three or four different pages to reconstruct a general picture.

For publishers and brands, this scenario is ambivalent. On the one hand, part of informational traffic may decline. On the other, those cited as sources within an AI answer may gain a different and potentially more qualified form of visibility: one based less on simple ranking and more on perceived authority.

This is where the real strategic issue begins.

3. From SEO to GEO: being found is no longer enough

For years, SEO had one dominant objective: improving the organic ranking of a page in search results.

The logic was linear: identify a keyword, produce relevant content, optimize the title, structure, internal links, domain authority, speed, user experience and technical signals. The higher a page ranked in the SERP, the greater its chances of receiving traffic.

This model is not disappearing. SEO remains essential. But it is no longer enough.

In the new ecosystem, the goal is not only to be found by the user. It is to be understood, selected and cited by generative systems. This is where GEO — Generative Engine Optimization — comes into play.

GEO does not replace SEO. It extends it. While SEO works on positioning within search engines, GEO works on the possibility that a piece of content will be recognized as a reliable source by a generative engine.

In other words, it is no longer only a matter of optimizing a page for a keyword. It is about building content that can be used as trustworthy material to generate an answer.

The difference is decisive.

A piece of content can rank well and still be poorly citable. It may contain many keywords but few distinctive elements. It may be readable but offer no original data. It may be correct but not signed by a recognizable author. It may repeat what everyone else is saying without adding anything a generative system would consider genuinely relevant.

In the generative web, the question is no longer simply: “Is this content optimized?”. It becomes: “Does this content deserve to be used as a source?”.

4. From visibility to citability: the economy of sources

The true revolution is not that Google answers instead of websites. That is only the surface of the change. The deeper transformation is this: in the generative web, the value of content is no longer measured only by its ability to attract traffic, but by its ability to be recognized, selected and cited by an intelligent system.

For twenty years, digital marketing has pursued visibility. To rank first meant to be seen. To be seen meant to receive clicks. To receive clicks meant to exist.

In the generative ecosystem, this chain breaks. A piece of content can be fundamental even if the user never visits it directly. It can become part of the answer, feed a synthesis, influence a decision and lend credibility to a statement produced by artificial intelligence.

The new objective is not simply to appear. It is to become citable.

This is the economy of sources.

In this scenario, brands are no longer competing only for a position on the results page. They are competing for a position in the operational memory of generative engines. It is not enough to write correct content: brands must produce content that is verifiable, attributable, structured, updated, signed and recognizable as primary-source material.

A web page is no longer only a destination for the user. It becomes documentary evidence for the algorithm.

This is where many traditional SEO strategies reveal their limits. A text built only to intercept keywords may rank, but it will not necessarily be selected as a source. By contrast, a less “clever” but more thoroughly documented piece of content — with proprietary data, case studies, recognizable authors, external references, a declared methodology and traceable updates — has a stronger chance of entering the trusted perimeter of a generative answer.

The strategic question changes radically: not just “How can I please the algorithm?”, but “Am I solid enough to be used by the algorithm as a source?”.

This question marks the shift from SEO as a ranking technique to GEO as a discipline of computable authority.

5. Computable authority: when trust must leave traces

Authority has always been central to communication. But in the generative web, it takes on a new form.

It is not enough to be authoritative in a generic sense. Authority must be readable, verifiable and recognizable by digital systems. In other words, it must become computable.

A Large Language Model does not “trust” in the way a person does. It does not intuit prestige. It recognizes patterns, relationships, citations, consistency, recurrence, sources, signatures, structured data, external mentions and reliability signals distributed over time.

For this reason, digital reputation can no longer be built only within one‘s own website. It must leave coherent traces across the entire ecosystem.

An educational brand, for example, will not be considered authoritative simply because it claims to be so on its “About us” page. Its authority must emerge from a network of signals: recognizable instructors, clear programmes, verifiable qualifications, external articles, interviews, public appearances, awards, case studies, student work, mentions in independent media, updated professional profiles and genuinely useful technical content.

Computable authority is born from this distributed coherence.

It is not a trick. It is not a shortcut. It is not a new magic formula for “gaming” artificial intelligence.

On the contrary, it is a return to more serious communication: proving what you claim.

6. E-E-A-T: not an SEO formula, but a grammar of trust

In this scenario, E-E-A-T factors become increasingly important.

E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness. These are concepts used by Google in its quality guidelines to assess the quality of content and the credibility of sources.

Too often, however, E-E-A-T is treated as an SEO checklist. Add an author bio. Insert a few links. Write an “About” page. Publish longer content. But this approach is reductive.

In the generative age, E-E-A-T becomes a grammar of trust.

Experience means showing real contact with the subject. Not an abstract text, but knowledge developed in the field.

Expertise means producing accurate, updated and technically sound content, capable of distinguishing between opinions, data and interpretations.

Authoritativeness means being recognized beyond one‘s own website: by other professionals, institutions, media, communities and independent sources.

Trustworthiness means making claims verifiable: indicating sources, dates, responsibilities, updates, limitations and possible margins of uncertainty.

In a web filled with generic AI-generated texts, these elements become decisive. AI can generate content. But it cannot invent an authentic professional history, a consolidated reputation, a network of real citations, a documented case study or proprietary data collected in the field.

That is why the future of communication will not be dominated by the greatest number of contents, but by the most grounded ones.

7. What AI cannot copy: proprietary data, method and point of view

The generative web makes it easier to produce content that is, on average, correct. But precisely for this reason, it makes everything that is not average, replicable or predictable more valuable.

If everyone can generate a guide on “how to create an editorial plan”, that guide loses value. If everyone can produce an article on “what brand identity is”, that content becomes noise. If everyone can publish a list of SEO tips, the difference will no longer lie in the mere presence of the text, but in the quality of the source.

What truly matters are the elements that AI cannot copy unless someone has provided them first:

proprietary data;

direct experience;

case studies;

local examples;

mistakes actually observed;

working methodologies;

interviews;

measured results;

before-and-after comparisons;

signed opinions;

cultural interpretations;

critical readings;

connections between different fields.

A generic article can be generated in seconds. A point of view cannot.

This is where the new editorial quality begins: not in the ability to say well what has already been said, but in the ability to add something to the web that was not there before.

For a brand, this means changing the question. Not: “How much content should we publish?”. But: “What content can only we publish?”.

8. The challenge for designers and copywriters: designing experiences, not just pages

The decline of the centrality of the ten blue links does not mean the death of the web. Rather, it marks its maturation.

If AI centralizes simple informational answers — definitions, basic tutorials, elementary comparisons, introductory explanations — users will visit websites mainly when they need something that an automatic summary cannot exhaust: experience, depth, identity, relationship, imagination and complexity.

This opens up a decisive challenge for digital design and copywriting.

A website can no longer be just a container of information. It must become a narrative and perceptual environment capable of making users feel the difference between a living source and a generated text.

Visual identity, layout hierarchy, image quality, writing rhythm, tone of voice, the clarity of micro-interactions, the care given to author pages and the coherence between content and brand will become even more important.

Paradoxically, the more AI makes basic information accessible, the more editorial, visual and cultural design will matter.

Copywriters will no longer merely write to intercept keywords. They will build trust.

Designers will no longer merely make pages attractive. They will make authority perceivable.

Brands will no longer merely need to be recognizable. They will need to be credible, citable and verifiable.

9. From keyword to context: marketing enters the conversation

The old search marketing model was dominated by the keyword.

Understanding what users typed meant intercepting a demand. Intercepting a demand meant building a page. Building a page meant competing for a position.

In the new scenario, the keyword does not disappear, but it becomes only one fragment of something broader: the conversational context.

Users no longer search only for “graphic design course Naples” or “best software for web design”. They formulate more complex questions, often in natural language: “Which path should I choose if I want to become a graphic designer from scratch?”, “Is it better to learn Figma or Photoshop?”, “How important is certification in a visual communication course?”, “How can I tell whether a school is truly authoritative?”.

These questions do not ask only for a list of results. They ask for guidance.

And to answer them, AI will tend to select sources capable of covering not just a keyword, but an entire semantic field: themes, relationships, skills, evidence, examples and reputation.

The challenge for modern marketing is no longer to intercept a word. It is to occupy a conversation.

Those who can build coherent, deep and interconnected content will not necessarily lose visibility. They may gain something more valuable: trust.

10. The new capital of brands: becoming cultural infrastructure

In the web of links, being visible meant occupying space.

In the generative web, being authoritative means becoming material for the construction of knowledge.

The difference is enormous.

A brand that produces generic content contributes to the noise. A brand that produces solid, documented, original and recognizable content can become infrastructure: a source that other systems, other people and other platforms can refer to.

This will be the new battleground.

Publishing a lot will not be enough. Publishing better will matter more.

Having a blog will not be enough. Having a point of view will matter more.

Claiming expertise will not be enough. Demonstrating it will matter more.

Being present online will not be enough. Being worthy of citation will matter more.

The new question for marketing will no longer be only “How many people find us?”, but “Which systems trust us enough to use us as a source?”.

This is a profound paradigm shift. In the web of links, authority was often a consequence of visibility. In the generative web, the opposite will happen: visibility will increasingly become a consequence of authority.

That is why GEO should not be understood as yet another technique for gaming the algorithm, but as a more mature discipline: designing content that is so clear, grounded, recognizable and verifiable that it can be cited without ambiguity.

Those who continue to produce generic texts to occupy keywords will become statistical noise.

Those who learn to build sources will become cultural infrastructure.

And in the next web, being infrastructure will matter far more than simply being visible.

In simple terms

For twenty years, we searched on Google by clicking through a list of websites. Today, Google is changing shape: at the top of the page, an AI-generated answer can appear, capable of summarizing information, proposing structures, suggesting further questions and guiding the user through a more conversational search experience.

This means that many people will find what they need without immediately clicking on an external website. This is the zero-click search phenomenon.

For companies, schools, professionals and creatives, everything changes. It is no longer enough to optimize a page in order to rank first on Google. The real challenge is making generative systems recognize that content as a reliable source.

This is the beginning of GEO: Generative Engine Optimization.

The new challenge will not only be to be visible, but to be citable. A brand will need to produce original, signed, documented, verifiable content that is recognized beyond its own website.

In other words: in the generative web, the winner will not be the one who publishes the most content, but the one who becomes a source people and systems can trust.

Essential sources and references

Google Search Central, “AI features and your website”, official documentation on AI features in Google Search.

Google Search Central, “Creating helpful, reliable, people-first content”, guidelines on useful, reliable and people-first content.

Google Search Quality Rater Guidelines, Google‘s official document on quality assessment criteria, including the E-E-A-T model.

SparkToro and Datos, “2024 Zero-Click Search Study”, a study on Google searches ending without a click to the open web.

Aggarwal, Pranjal et al., “GEO: Generative Engine Optimization”, an academic paper published on arXiv in 2023, focused on content visibility in generative engines.

Liu, Nelson F. et al., “Evaluating Verifiability in Generative Search Engines”, an academic paper focused on verifiability and citations in generative search engines.

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Between August and October, there’s a particularly dense window of deadlines for those working with images. We have selected four verified international competitions — based on structure, jury, and editorial continuity — deliberately excluding minor initiatives or those with unconfirmed deadline information from official sources. The criterion is not quantity, but the reliability of the data.

ND Awards — Neutral Density Photography Awards
Now in its twelfth edition, this New York-based competition dedicated to contemporary photography features six professional categories (Architecture, Editorial, Fine Art, Nature, People, Special) and five non-professional ones, with over forty subcategories overall. The jury includes gallery owners, editors, and established photographers.
Why participate: The ND Awards offers an extremely granular format that allows a single photographic project to be positioned in a specific niche, increasing the chances of being noticed compared to generalist competitions. The dual-level structure (Professional/Non-Professional) makes the comparison fairer, and it is one of the few competitions in this category with a September deadline, useful for those planning their submissions in the second half of the year.
Registration deadline: September 20, 2026
Official link: 
ndawards.net



Aesthetica Art Prize (Photography Category)
This is not just a photography competition, but a multidisciplinary award — now in its twentieth anniversary — that includes photography among the accepted mediums, alongside painting, video, installation, and digital art. The award is promoted by Aesthetica Magazine (UK) and includes an exhibition at a prominent public venue, along with £10,000 for the Main Prize and £1,000 for the Emerging Prize reserved for students and recent graduates.
Why participate: The value of Aesthetica lies in its positioning: alumni of the award have exhibited at Tate Modern, MoMA PS1, Barbican, and Centre Pompidou. For a photographer already working in a conceptual or research-based register, it’s an opportunity to step outside the purely photographic circuit and engage with contemporary art curators.
Registration deadline: registration by August 31, 2026; final submission of work by October 11, 2026 (the two dates appear on separate pages of the official site — early registration is an administrative step, the substantive deadline for work submission is in October)
Official link: 
aestheticamagazine.com/artprize



EVI MONO AWARDS
An international award dedicated to monochrome photography with a specific thematic focus: women and their stories. Based in Dublin but with an international scope, the competition is free to enter — a rare element in this landscape, where entry fees are often the norm — and is supported by a media partnership with FRAMES Magazine.
Why participate: The absence of entry fees lowers the barrier to entry, but the competition still maintains a qualified jury of international photographers and visual professionals. It is particularly relevant for those working on narratives of identity, memory, and resilience in black and white — a specific thematic ground that distinguishes it from more general monochrome competitions.
Registration deadline: October 1, 2026
Official link: 
evimonoawards.com



Chromatic Awards
The tenth edition of this competition entirely dedicated to color photography — a clear positioning that distinguishes it from monochrome competitions and makes it complementary to initiatives like EVI MONO. Twenty categories, divided between Professional and Amateur sections, with a final cash prize and publication in the annual competition volume.
Why participate: The choice to systematically exclude black and white makes Chromatic Awards one of the few competitions to treat color not as a technical variable but as the very subject of the competition — a useful angle for those working on a project where color is an integral part of the narrative, not just the presentation.
Registration deadline: early bird deadline July 19, 2026; final deadline October 25, 2026
Official link: 
chromaticawards.com

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