Category: digital-publishing-solutions

AI and Generative Search: The Next Leap for Digital Libraries

Digitization was only the first leap for libraries. The next frontier is AI and generative search — transforming static digital collections into living, intelligent archives. Instead of sifting through endless results, users can now experience contextual discovery, summarization, translation, and intuitive pathways that make knowledge more accessible than ever.

At Ninestars, we know this future is only possible with strong foundations. Having digitized over 20 national libraries worldwide, we combine scale with precision — from OCR and metadata enrichment to AI-driven workflows that unify global standards. For us, digitization and AI are not just about preservation, but participation — bringing cultural heritage to life for researchers, students, and readers everywhere.

The journey of knowledge preservation has always mirrored the evolution of technology. Stone tablets gave way to manuscripts. Manuscripts were replaced by the printing press. And now, in the digital age, information in libraries and archives are no longer limited by walls or shelves. The knowledge is accessible and searchable from wherever you are.

Digitization was the first leap. Millions of books, manuscripts, newspapers, documents, and photographs were scanned and stored in digital formats, ensuring their survival for future generations. But vast digital repositories alone are not enough if users cannot easily find or interact with them. This is where AI in digital libraries becomes the natural next step.

From Digitization to Intelligence

For decades, researchers relied on keyword-based search to navigate collections. It worked, but often failed to capture nuance. A query like “climate change as reported in newspapers before 1988” could return thousands of results, not all of them relevant.

With AI-driven digital archives, the experience changes completely. AI models understand context, semantics, and intent. Instead of matching words, they return answers. They summarize, highlight connections across decades, and even suggest related themes.

How AI is Transforming Digital Libraries

AI in digital libraries adds context, speed, and intelligence. Instead of static repositories, archives become dynamic, exploratory ecosystems.

  • Smart Search and Discovery: AI understands meaning, not just words. A researcher looking for “climate change coverage in 1970s newspapers” can find relevant articles even if the sources use different phrasing.
  • Contextual Understanding: OCR made text searchable, but AI can analyze themes, relationships, and sentiment over time.
  • Automated Metadata Enrichment: AI extracts names, places, and dates automatically, improving discoverability.
  • Language Accessibility: A 1910 French newspaper can be instantly translated for an English reader.
  • Personalized Research: AI guides users differently—a historian studying migration and a student learning about World War I will each get tailored paths through the same archive.

Generative Search: A Leap Beyond

If AI powers intelligence, generative search brings it to life. Unlike traditional search that lists documents, it creates synthesized answers.

Imagine asking:
“What was public sentiment about railways in 19th century Europe?”

Instead of making the user comb through hundreds of documents, AI-driven digital archives can summarize perspectives across sources and present a coherent narrative. Knowledge becomes conversational, not static.

The Next Step After Digitization

Digitization laid the foundation. Clean scans, OCR, article segmentation, and metadata enrichment make the application of AI feasible. Ninestars has deep expertise in these building blocks, perfected while working with leading institutions like the National Library of Australia and the Royal Danish Library. Large-scale programs, processing over 11 million pages in Australia and 32 million in Denmark, prove that scale and accuracy go hand in hand.

Once digitized, the libraries can prepare the collections for AI in digital libraries. Poor-quality scans or inconsistent metadata can limit the application of AI, which is why digitization and intelligence must go together.

How Ninestars Helps Libraries To Integrate AI Pre or Post Digitization

At Ninestars, we see digitization and AI as inseparable. Our Intelligent Automation Platform (IAP) already uses AI for OCR, metadata tagging, and automated quality checks. We are also building solutions that make archives AI-ready, including:

  • AI-enhanced OCR and content structuring
  • Metadata enrichment powered by machine learning
  • Cloud-native workflows ready for integration with generative search tools
  • Future-ready archives designed to adopt evolving technologies

For libraries and archives worldwide, the opportunity is clear: digitize today, and prepare for an AI-powered tomorrow.

What Generative AI Means for Users

For students, it means a shortcut to discovery—clear, contextual summaries instead of endless lists. For historians, it surfaces forgotten voices in millions of pages. For casual readers, it creates intuitive pathways through culture and history.

This is the true promise of AI in digital libraries: turning preserved knowledge into active discovery.

Challenges Along the Way

AI is not magic. Damaged documents, faded text, or unusual typefaces can complicate results. High-quality digitization remains critical. Another challenge is trust. Researchers need assurance that AI isn’t “hallucinating.” The best AI-driven digital archives always link back to original sources, ensuring transparency.

The Road Ahead

Generative AI is still in its early stages for libraries, but the potential is enormous. Imagine querying, “What were the public health measures during cholera outbreaks in the 19th century?” Instead of a list of documents, the system delivers a synthesized narrative with citations. Or asking, “How did jazz spread through Europe in the 1920s?” and instantly seeing a cultural timeline.

This is not science fiction—it is already beginning.

From Preservation to Possibility

Digital libraries began as preservation projects. They are now evolving into intelligent systems that not only safeguard knowledge but amplify it. AI in digital libraries and AI-driven digital archives are not replacing researchers or librarians; they are empowering them.

At Ninestars, we believe this is the natural next step after digitization. Libraries and archives that embrace AI today will define how future generations interact with history, culture, and knowledge. It’s time to act on integrating AI into library services and reassert the role libraries have historically played in building future-ready knowledge economies.

Why OCR Accuracy Matters: The Cost of Mistakes

In the fast-paced digital world, where data is the backbone of decision-making, businesses increasingly rely on Optical Character Recognition (OCR) technology to process and extract information from vast amounts of documents. OCR is considered one of the key enablers of digital transformation, enabling organizations to convert physical documents into accessible digital data.

However, not all OCR solutions are created equal. While basic OCR systems can help read and extract text from scanned documents, their accuracy can vary widely. The OCR accuracy impacts the overall quality of extracted data ans processes that depend on it, and ultimately the business’s bottom line.

Inaccurate OCR = Business Risk

Inaccurate document processing leads to errors in data, causing operational disruptions, increased costs, and damage to a company’s reputation. OCR accuracy matters, and here’s why the cost of mistakes can be significant:

  1. Financial Implications of OCR Errors

For many businesses, OCR errors aren’t just an inconvenience—they can translate into direct financial losses. Most organizations rely on automation platforms that include OCR as a foundational component to process financial documents, invoices, and contracts. However, if the OCR component is inaccurate, it can create cascading errors throughout the automated workflow.

Invoice Errors: Consider a scenario where a finance team uses an Intelligent Document Processing (IDP) system to process invoices. If the OCR layer misreads an invoice total, payment terms, or vendor information, the company could accidentally overpay or underpay. Worse still, missing key fields like taxes or early payment discounts can delay processing and impact cash flow.

Contract Misinterpretation: In legal workflows, OCR is often responsible for the first step—digitizing and extracting key terms. If inaccuracies occur here, they can carry through contract review tools or compliance checks, leading to flawed interpretations, legal exposure, or missed deadlines.

Operational Costs: Poor OCR accuracy increases the need for manual review and correction downstream. Even in sophisticated IDP workflows, time and resources must be diverted to catch and fix mistakes. This reduces productivity and weakens the ROI on automation initiatives.

  1. Customer Experience at Risk

The accuracy of OCR within automation workflows directly impacts how customers experience your services. An error introduced by OCR early in the document lifecycle can ripple into customer-facing processes—leading to delays, incorrect communication, or billing issues.

Invoice and Billing Issues: Customers receiving invoices generated from inaccurate OCR outputs may find incorrect totals, missing details, or wrong references. While the system may automate document generation, the quality of that automation depends heavily on the OCR’s ability to extract data correctly in the first place.

Delayed Service or Errors in Orders: In industries like retail or logistics, OCR powers the initial intake of forms, order sheets, or shipment requests. If the OCR component misinterprets these documents, it can lead to downstream automation triggering incorrect actions—like sending the wrong items, scheduling delays, or duplicating orders.

A flawed OCR layer in your automation stack may be invisible to customers, but its effects certainly aren’t. Inaccuracies erode trust, delay service, and ultimately harm customer retention.

  1. Legal and Compliance Risks

In highly regulated industries such as finance, healthcare, and legal services, accuracy in document automation isn’t optional—it’s a matter of compliance. OCR plays a foundational role in these workflows, powering data extraction for systems that manage tax records, patient files, and contracts. If OCR introduces errors early in the automation pipeline, the consequences can be legally and financially severe.

Healthcare Compliance: In healthcare, OCR is used within automation platforms to extract patient data from forms, insurance documents, and medical records. Any error at the OCR stage can lead to incorrect or incomplete data flowing into electronic health record (EHR) systems. This could trigger HIPAA violations, impact patient care, or erode trust.

Financial Reporting: In the financial sector, OCR is often the first step in processing documents like tax returns, compliance filings, and audit reports. An inaccurate OCR output can corrupt downstream data analytics and reporting tools—leading to compliance breaches, audit flags, or regulatory penalties. In high-stakes environments, even a single field misread can cause substantial risk.

  1. Reduced Efficiency and Increased Error Propagation

OCR technology streamlines operations by reducing manual data entry. But when OCR accuracy is poor, it does the opposite—creating bottlenecks and increasing the likelihood of error propagation throughout your automated systems.

Manual Interventions: When an OCR engine misinterprets content, teams often have to manually verify and correct outputs within the broader automation flow. This manual intervention defeats the purpose of deploying automation in the first place and slows down processing times, reducing overall ROI.

Cascading Errors in Integrated Systems: Inaccurate OCR doesn’t just cause isolated issues—it affects every downstream system that relies on its output. For example, if OCR misreads a figure in an invoice, that faulty data could influence accounting entries, tax computations, and audit readiness. The more deeply integrated your systems are, the more widespread the impact of a single OCR error becomes.

  1. The Importance of Choosing an Accurate OCR Solution

To avoid the aforementioned risks, it’s crucial to choose an OCR solution that provides high levels of accuracy. While standard OCR technology can help with basic text recognition, it’s often limited in its capabilities to handle complex documents or ambiguous data. It’s vital to look for an OCR system that incorporates advanced AI and machine learning capabilities, like AOTM OCR, that can:

  • Adapt to Complex Documents: Recognize text in multi-page documents, complex layouts, and even handwritten notes.
  • Understand Context: Provide deeper contextual understanding to accurately extract and categorize data.
  • Automatically Correct Errors: Use AI to detect and correct errors in real-time, improving overall accuracy.
  • Process Multiple Languages: Offer multi-language support to extract data from documents in different languages with high precision.

By implementing an advanced OCR solution with AI-powered capabilities, businesses can ensure that their document processing is as accurate, efficient, and error-free as possible.

The Cost of Mistakes vs. The Value of Accuracy

OCR mistakes may seem minor at first, but their ripple effects can impact a business in many ways: from financial losses and customer dissatisfaction to legal liabilities and operational inefficiencies.

In today’s business environment, where data is gold, OCR is a critical component of automation and digital transformation. But the true value of OCR technology isn’t just in its ability to extract text—it’s in how accurately it does so. Choosing the right OCR system, like AOTM OCR, ensures that businesses extract, process, and utilize data with maximum precision, minimal errors, and greater efficiency.

What We Learned at WAN2025: AI and the Future of Newsrooms

The World News Media Congress 2025 (WNMC25) in Kraków has officially concluded, leaving behind a wealth of insights that continue to shape how we view the intersection of journalism and technology. As proud sponsors of the event, Ninestars had the opportunity to engage with the brightest minds in media and technology, gaining invaluable perspectives that are driving the future of news.

The Congress highlighted a new wave of media transformation, driven by technological innovation, AI integration, and a renewed focus on providing real value to audiences. These advances are not just improving the quality and efficiency of news production but are also setting the stage for a media landscape where personalization, audience engagement, and ethical AI take centre stage.

AI and the Transformation of Newsrooms

A big theme of WNMC25 was the integration of AI in journalism, an undeniable trend that has moved beyond speculation and into action. AI is no longer a buzzword or a distant possibility; it is being embedded in the day-to-day operations of newsrooms worldwide. From editorial workflows to content creation, AI is playing an increasingly pivotal role in how stories are told and consumed.

One of the most profound insights from the Congress was the increasing reliance on Generative AI. Speakers shared real-world examples of how this technology is already streamlining content creation, improving productivity, and expanding audience reach. AI tools are now integral in supporting editorial decisions, from helping journalists gather data to automating repetitive tasks. The focus is clear: AI must be implemented in a way that enhances editorial workflows and maintains the values of trust and accuracy, which are the bedrock of quality journalism.

At Ninestars, we’re proud to align with this vision. Our AOTM Intelligent Automation Platform is designed to empower newsrooms with the speed and precision they need to process vast volumes of content. With AOTM OCR (Optical Character Recognition) and AOTM ICP (Intelligent Content Processing), we’re helping newsrooms handle information faster and more accurately, which ultimately allows them to focus on what matters: producing high-quality journalism.

AI’s Role in Personalized Journalism

Personalization is no longer just a luxury for newsrooms; it’s a necessity. As AI continues to evolve, it provides new opportunities to tailor content to the specific preferences and behaviours of individual readers. During the congress, the idea of audience-centric strategies was discussed in depth. News organizations are increasingly leveraging AI to deliver personalized experiences that engage readers at a deeper level. This means not just creating content that is relevant, but making sure it resonates at a personal level.

For example, AI-driven personalization is allowing publishers to adjust the content they provide based on data, whether it’s user behaviour, geographic location, or even social trends. Short-form content is also becoming more influential in reaching younger audiences, especially Gen Z, who demand quick, digestible news that fits into their daily lives.

Ninestars is fully committed to empowering publishers with these AI-driven personalization strategies. Our solutions help streamline content processing, automate repetitive tasks, and deliver deep insights that make it easier to engage audiences in meaningful ways.

Ethics, Trust, and the Future of Journalism

The conversations at WNMC25 weren’t just about technology; they also focused on the broader ethical implications of AI in journalism. As AI becomes more ingrained in newsrooms, ensuring that it supports the values of trust, transparency, and editorial independence is crucial. The term Authentic Intelligence emerged as a key theme, emphasizing the need for AI to be used responsibly in ways that bolster the integrity of journalism rather than undermine it.

Industry leaders like Ingrid Verschuren from Dow Jones and Tom Rubin from OpenAI highlighted the importance of grounding AI in strong ethical frameworks. They stressed that AI should empower journalists, not replace them, and that AI systems should be transparent, accountable, and aligned with the values of responsible journalism. These conversations were important in reminding us that as AI becomes more advanced, we must be vigilant in maintaining the trust of our audience.

At Ninestars, we are committed to developing AI solutions that respect these ethical considerations. Our platform is designed to automate and streamline processes while upholding the principles that make journalism a trusted source of information and perspectives. From responsible data usage to transparency in AI decision-making, we ensure that our technology supports the greater good of the industry.

Looking Ahead: A Smarter, More Efficient Future

As WNMC25 wrapped up, the focus was clear: The future of journalism will be defined by AI, but it’s how we use it that will determine its impact. AI is not just about efficiency; it’s about improving quality, enhancing the audience experience, and enabling news organizations to focus on what they do best: telling great stories.

As Ninestars continues to work alongside media companies, we are proud to be part of this transformation. We are actively building solutions that not only help publishers streamline their workflows but also foster stronger connections with their readers. The future of media is bright, and with AI as an enabler, newsrooms can rise to the challenge of staying relevant in an increasingly digital world.

The World News Media Congress 2025 was a powerful reminder of the importance of AI in shaping the future of journalism. From enhancing editorial workflows to creating personalized experiences, AI is helping newsrooms embrace the future while staying true to their core values. As the event concluded, it was clear that the momentum toward AI-driven innovation in media is only going to grow stronger.

We’re excited to continue our journey with the media industry, working hand-in-hand with publishers to build a smarter, more efficient future for journalism. Thank you to everyone who shared their insights and helped shape these important conversations. The journey has just begun, and at Ninestars, we are ready to continue making an impact.

TL;DR

Key Insights from WNMC 2025

  • Generative AI is revolutionizing content creation, enabling newsrooms to streamline processes, boost productivity, and improve engagement.
  • Personalized journalism is now a strategic necessity, with AI allowing publishers to create tailored content that resonates with individual audiences.
  • Ethical AI remains a focal point, with leaders emphasizing the need for AI to enhance, rather than replace, journalistic integrity and trust.
  • AI is already transforming newsrooms by enhancing editorial workflows and content creation.

Discover how Ninestars is helping newsrooms thrive in the digital age: Explore here

Ninestars at the World News Media Congress 2025: Shaping the Future of Journalism with AI-Powered Innovation

We are excited to announce that Ninestars Information Technologies Pvt. Ltd. will be participating in the World News Media Congress 2025, happening in Krakow, Poland from May 4-6, 2025! This premier event brings together the brightest minds from across the global media industry to explore new strategies, innovations, and solutions in journalism. As we prepare to showcase our AI-driven solutions at the Congress, we look forward to demonstrating how Ninestars is revolutionizing the future of newsrooms.

Why Ninestars is Here

The media landscape is evolving rapidly, and Ninestars is at the forefront of this transformation. With over 26 years of expertise in the media and publishing sector, we have always been committed to empowering organizations with intelligent, scalable, and future-proof solutions. At the World News Media Congress 2025, we aim to highlight how our AI-powered platforms and R&D capabilities are helping newsrooms stay ahead of the curve.

What We’re Showcasing

At our booth, we will showcase a comprehensive range of AI-driven solutions designed to address the unique challenges of modern journalism. Our offerings include:

AOTM OCR: Advanced AI-powered optical character recognition for transforming printed media into actionable data.

AOTM GPT: A generative AI engine tailored specifically for newsrooms, helping to accelerate content creation while maintaining editorial integrity.

AOTM ICP: Our Intelligent Content Processing platform that intelligently ingests, indexes, and processes diverse content types.

Archive Transformation and Monetization: Turning valuable archives into dynamic assets that drive contemporary storytelling and revenue generation.

Hyper-Personalized News: AI-powered personalization engines to tailor content and advertisements based on reader behavior.

Additionally, we will demonstrate our R&D capabilities, including advancements in Editorial AI Models, DSLMs, LLMs (Large Language Models), and Multimodal AI, as well as Computer Vision for media content analysis and enhancement.

What to Expect at the Congress

The World News Media Congress will feature three dynamic summits, deep-dive sessions into future media trends, and an exhibition space where industry leaders will share insights on technology and innovation. With social events and networking opportunities, it’s a perfect setting to engage with fellow professionals in the media and publishing world.

Ninestars is proud to be part of this exciting event, and we are eager to share how our AI-driven solutions can help news organizations optimize their workflows, create better content, and unlock new business opportunities.

Connect with Us

We invite you to visit our booth and engage with our experts as we demonstrate our latest solutions. Let’s discuss how we can help your newsroom stay ahead with AI-powered innovation.

We are excited to connect with industry leaders, journalists, and innovators in Krakow and contribute to the ongoing evolution of media.

Stay tuned for more updates as we approach the World News Media Congress 2025. We look forward to seeing you there!

Explore how we can help you. Learn more here:
https://wan2025.ninestarsglobal.com

Changing Trends in The Publishing Industry in 2023

From print to digital and mobile, the world of publishing has always been a shifting landscape. Technology has spurred several transformations especially in the last decade that are shaping the publishing industry in unprecedented ways. 

So what’s in store for 2023 when it comes to digital publishing trends?

Subscription models

Subscription-based services continue to gain popularity. Subscriptions to digital publications accounted for 44% of overall revenue for news publishers globally in 2018. Enticing readers or viewers to subscribe content, however, is not as simple as offering them access to exclusive features, images, or forums. To turn casual readers and viewers into paying subscribers, publishers often use email newsletters, exit intent pop-ups, and push alerts. Publishers must produce excellent content in innovative formats to draw in new readers and foster reader loyalty. Offering options allows the user to decide whether to pay a fee to access the information or not, which is always preferable.

The Paris Review, for instance, offers four distinct subscription options. The New Yorker offers print + digital issues to subscribers, while Unlimited Digital Access is available to those who have abandoned paper in favour of screen culture. Every membership comes with a free New Yorker tote bag, which adds a personal touch and encourages readers to feel proud of being a part of the community.

Here, customization is crucial. The “entertainment in your pocket” initiatives started by OTT platforms like Netflix, where they launched the mobile-only membership, are an intriguing example to take note of.

Insta Novels

The New York Public Library first introduced Insta Novels in August 2018 with the newly digitised edition of Alice’s Adventures in Wonderland. Insta Novels is a reworking of Instagram Novels that offers a new venue for some of the most famous stories ever written. They developed “Insta Novels,” a fun, captivating storytelling style, in collaboration with Mother, a New York advertising agency, to appeal to a population of young readers with incredibly short attention spans. The mission of NYPL was to promote reading among a wider audience outside of its four walls. To accomplish this goal, the organisation has resorted to one of the biggest social media networks in the world, Instagram, where it has 400 million daily active members, to share classic literature.

Videos, Audiobooks, and Podcasts:

By 2023, there will be 1.85 billion monthly podcast listeners worldwide. This indicates that publishers are scrambling to capitalise on the current surge in podcasting. When consumers listen to podcasts while working from home, working out, or travelling, they can more readily ingest longer forms of material while going about their daily lives without having to give the content their complete attention. This is encouraging for all types of publishers because people may now listen to any podcast that interests them, whether it’s about intellectual arguments or celebrity rumours.

The publishing industry’s newest darling is audiobooks. In fact, the digital publishing industry’s fastest-growing sector right now is audiobooks. According to the Association of American Publishers, there has reportedly been a 33.9% rise in the number of audiobooks produced in 2017 compared to 2016. Audible is a very well-known membership service for audio books. In 2018, Amazon introduced Audible and its monthly audiobook subscription service in India. They initially offered a 90-day free trial with credit for three free audiobooks, then offered monthly, semi-annual, and annual plans. It is the best subscription service for the money because of its broad range of books and thoughtfully designed interface, to name just two factors.

The majority of consumer screen time on social media is spent watching short, snackable videos. These movies cover a variety of topics, such as how to make delightful sweets at home and quick tutorials on gym exercises. In any case, viewers prefer watching short movies—between 30 and 75 seconds—and video makers have mostly abandoned the conventional structure of one- to two-minute videos. The difficulty for publishers is to keep viewers entertained in that brief amount of time by making videos that are entertaining and engaging without requiring a lot of attention or time.

Collaboration

You are who you hang out with!

That also applies to writers, even if it refers to digital company.

A content package that is well-coordinated with other publishers, organisations, and even influencers can be more significant and potent than one that could have been produced by a publisher alone. When various firms combine their distinctive skills and knowledge, the ultimate product is nearly always a piece of content that offers consumers more value. It can also refer to technological advancements like partnerships between media companies and producers.

A valuable source of money for authors, book to movie adaptations also guarantee improved exposure for the authors. The Marvel Cinematic Universe, DC Comics, and the Harry Potter Universe are the best examples of all time. Speaking of India, recent successful literary adaptations include Raazi, Sacred Games, and the impending Shantaram television series. The most recent instance globally would be the Times Square grand unveiling of Harry Potter and the Cursed Child. Fifty “wizarding world influencers,” vloggers, bloggers, and everyone else who had been invited to the launch were present. In order to promote the play’s expansion to new international markets and reveal its new tagline, “Sometimes, Darkness Comes from Unexpected Places,” in the form of an immersive theatre, the Broadway producers of Harry Potter and the Cursed Child, in collaboration with the entertainment advertising agency AKA NYC, commandeered Times Square and used 51 towering screens.

Mobile-first approach

For the majority of individuals, mobile is now the best device for internet activity. As a result, it is essential that your publishing platform provide a positive mobile experience. Many things can be limited with a mobile strategy, and there are countless opportunities for creativity. Among the suggestions for establishing a strong mobile presence are things like having:

  • Mobile-friendly pages are those that are simple to navigate on mobile devices, meaning they don’t obstruct a user’s ability to execute any action or bother them in any way.
  • AMPs are web pages that load more quickly on mobile devices and are given favour in mobile SERPs. Additionally, AMPs are more likely to appear on Google Discover.
  • PWAs are webpages designed to take advantage of native mobile capabilities without requiring users to visit the play store or app store and download or buy the app locally. They have the same look and feel of a mobile app.
  • Push notifications are when your mobile app or website sends notifications to users’ mobile devices after obtaining their consent.
  • Vertical content is preferable for any videos made for mobile devices as this format is supported and preferred by all the major social media platforms, including Instagram, YouTube, Snapchat, and others. In terms of user engagement, vertical videos outperform horizontal counterparts by 58%.

As more websites link to your material, you will gain backlinks in addition to pleasing your audience by producing high quality content. High E-A-T levels are one of the traits of high-quality material (expertise, authoritativeness, and trustworthiness). If you are unfamiliar with the phrase, it is a component of Google’s quality standards that determines how a page will rank for a particular keyword: In order to determine the Page Quality grade for a given piece of content, Google considers a number of factors, including the author’s experience, the website’s authority, the website’s credibility, and the website’s trustworthiness.

You will appear higher on Google if your material has a higher Page Quality rating. Having consumers for all types of material, including written, audio-visual, and more, is essential to producing outstanding content.

Publishers are changing how users consume their information on various screens. It’s time to revolutionise the publishing industry by creating wiser production strategies based on reader needs and preferences, with a stronger emphasis on digital trends.