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SEO mistakes you should avoid

When it comes to SEO, one should try to be as honest as possible and always explain that most of the things one says/does are interpretations of experience, because no one really knows exactly how Google works, and especially for how long a rule can continue to be valid.There are, however, a number of mistakes that can compromise your website's ranking:Keyword repeated too frequently - exceeding the use of keywords, as well as making the site's ranking worse, also makes it boring and unnatural to read the text, worsening the user's experienceIncorrectly managed metatags - the main ones are Title and Description, which must not be repeated on the pages, must not be too long and, above all, must always be present.Well structured links - interlinked pages within our site should always be active.Copied content - copying texts from other sites potentially exposes you to being penalised by the search engine.Badly written content - texts must always be interesting and relevant to who we imagine to be the end user of our site, otherwise we will not get traffic that matches our expectations.Inappropriate URL of pages - the address of the pages should be as in line as possible with the content of the page.Do not generate a sitemap - providing the search engine with a sitemap means showing the way for the bots to scan the site, i.e. making it easier to read the content that is most important to us.

SEO mistakes you should avoid

When it comes to SEO, one should try to be as honest as possible and always explain that most of the things one says/does are interpretations of experience, because no one really knows exactly how Google works, and especially for how long a rule can continue to be valid.

There are, however, a number of mistakes that can compromise your website's ranking:

  • Keyword repeated too frequently - exceeding the use of keywords, as well as making the site's ranking worse, also makes it boring and unnatural to read the text, worsening the user's experience
  • Incorrectly managed metatags - the main ones are Title and Description, which must not be repeated on the pages, must not be too long and, above all, must always be present.
  • Well structured links - interlinked pages within our site should always be active.
  • Copied content - copying texts from other sites potentially exposes you to being penalised by the search engine.
  • Badly written content - texts must always be interesting and relevant to who we imagine to be the end user of our site, otherwise we will not get traffic that matches our expectations.
  • Inappropriate URL of pages - the address of the pages should be as in line as possible with the content of the page.
  • Do not generate a sitemap - providing the search engine with a sitemap means showing the way for the bots to scan the site, i.e. making it easier to read the content that is most important to us.

Ultime news

16/01/2025
Benefits of AI Agents for Business

In recent years, the technology landscape has seen a dramatic transformation with the advent of AI Agents. But what exactly are these tools and why are they attracting so much attention in the business world? In this article, we will explore the benefits of AI Agents and answer common questions about how they can revolutionize the way businesses operate.What are AI Agents?AI Agents (or Artificial Intelligence Agents) are autonomous systems powered by artificial intelligence that can perform specific tasks, make decisions, and interact with users or other systems. These agents can be integrated into mobile apps, web applications, and other platforms to improve user experience and optimize business processes. These artificial intelligence (AI) tools not only streamline work processes, but also offer significant strategic advantages. Artificial intelligence (AI) offers a wide range of tools to achieve these goals, and among them, AI Agents stand out for their ability to automate complex tasks, analyze large amounts of data, and make informed decisions.Thanks to their ability to learn and adapt, AI Agents represent a game changer for companies that want to make the most of the potential of technology.Benefits of AI Agents for BusinessThe adoption of AI Agents offers a series of strategic benefits for companies. Here are the main ones:1. Process AutomationAI Agents allow you to automate repetitive and low-value-added tasks, freeing up human resources for more strategic tasks. For example, they can manage support requests, schedule appointments or monitor data in real time.2. Improved customer experienceIntegrated into web or mobile apps, AI Agents can provide immediate and personalized answers to customers, improving satisfaction and loyalty. Chatbots and virtual assistants are concrete examples of how this technology can transform customer service.3. Advanced Data AnalysisAI Agents can analyze large volumes of data quickly and efficiently, identifying trends and business opportunities. This allows companies to make informed decisions based on concrete data.4. Scalability and adaptabilityThese agents can be easily scaled to meet the growing needs of a company, adapting to new scenarios or markets without requiring significant intervention.5. Cost reductionBy automating multiple processes, AI Agents help reduce operational costs, while maintaining a high standard of quality.Frequently asked questions about AI AgentsWhich industries can benefit from AI Agents?AI Agents are applicable to a wide range of industries, including:Retail: to improve the shopping experience and manage inventory.
 Healthcare: to support remote diagnosis and patient monitoring.
 Finance: for risk analysis and portfolio management.
 Logistics: to optimize delivery routes and monitor shipments.Are AI Agents hard to implement?No, thanks to modern development platforms, the implementation of AI Agents has become increasingly accessible. Many solutions can be directly integrated into existing mobile apps and web applications.What are the risks to consider?Like any technology, AI Agents also present some challenges, including:Data privacy and security: It is essential to ensure that sensitive data is protected.
 Ethics management: It is important to define clear rules for the responsible use of AI.How much does it cost to implement an AI Agent?Costs vary based on the complexity of the project and the customization required. However, many scalable solutions allow you to start with a low investment.A concrete example: Predictive sales analytics: Identify opportunities and maximize profitsAI Agents can be used to predict sales and identify new business opportunities. By analyzing historical sales data, market trends and consumer behavior, AI Agents can provide accurate forecasts and suggest targeted marketing strategies.How does it work? AI Agents use machine learning algorithms to identify factors that influence sales and predict future performance. They can also analyze social media data and online reviews to identify new trends and market opportunities.The benefits?Increased sales: More effective and personalized marketing strategies.
 Maximized profits: Identify new business opportunities and optimize prices.
 Better understanding of the market: In-depth analysis of trends and consumer behavior.ConclusionsAI Agents represent a unique opportunity for companies to innovate and improve their efficiency. Whether it is improving the customer experience through a mobile app or optimizing internal processes with advanced applications, this technology has the potential to redefine the future of business.If you are interested in exploring the potential of AI Agents for your company, we invite you to contact our experts at Moko for a personalized consultation.
14/01/2025

Artificial intelligence (AI) has become increasingly important in various fields in recent years, bringing with it a number of confusing acronyms. In this article, we will explore some of the most common terms and what they mean.AI (Artificial Intelligence): The ability of a machine to mimic human behavior and perform tasks that would normally require human intelligence, such as understanding language or recognizing images.
 ML (Machine Learning): Refers to a branch of AI that focuses on the use of algorithms and statistical models to allow machines to automatically improve through experience.
 DL (Deep Learning): A subset of machine learning that uses deep neural networks to analyze complex data. It is particularly effective in speech recognition, machine translation, and computer vision.
 LLM (Large Language Model): Large language models, such as GPT-3, designed to understand and generate natural language text. These models are trained on massive amounts of text data and are able to produce coherent and contextually relevant responses.
 NLP (Natural Language Processing): This is the interaction between computers and human language. NLP enables machines to understand, interpret, and generate natural language, facilitating communication between humans and machines.
 CV (Computer Vision): This discipline of AI focuses on the ability of machines to interpret and understand visual content, such as images and videos. It is used in applications such as facial recognition and autonomous driving.
 RL (Reinforcement Learning): A type of machine learning in which an agent learns to behave in an environment by interacting with it and receiving rewards or punishments based on its actions.
 AIoT (Artificial Intelligence of Things): This combines AI with the Internet of Things (IoT), enabling connected devices to make autonomous decisions and improve operational efficiency.FAQ1. What is the difference between AI and Machine Learning?
AI is a broad field that focuses on mimicking human intelligence, while machine learning is a subset of AI that focuses on learning from data.2. What is a large language model (LLM)?
An LLM is an advanced algorithm designed to understand and generate natural language text. It is trained on large datasets to produce coherent and relevant responses.3. How is Deep Learning Used?
Deep learning is used in a variety of applications, including speech recognition, image analysis, and machine translation, leveraging deep neural networks to process large amounts of data.4. What is Natural Language Processing (NLP)?
NLP is a field of AI that focuses on the interaction between computers and human language, enabling machines to understand and generate text in a useful way.5. How does AIoT improve operational efficiency?
AIoT combines AI with connected devices, enabling systems to make autonomous decisions and optimize operations in real time.As the technology landscape continues to evolve, understanding these acronyms is critical to navigating the world of AI. We hope this glossary and FAQ will help clarify the most commonly used terms in the industry.For more information or questions, please contact us!
09/01/2025

In the field of artificial intelligence, LAM is an acronym for Large Action Models. These are highly advanced AI models, designed to perform a wide range of actions and tasks autonomously, simulating human behavior and reasoning. In the modern business world, the adoption of Lam (Large Action Models) is no longer a luxury, but a necessity. With the use of advanced technologies integrated into mobile apps and web applications, companies can revolutionize the user experience, improve operational efficiency and gain a competitive advantage. But what are the concrete benefits of this digital transformation? In this article, we will explore the advantages and answer the most frequently asked questions.Basically, a LAM is an AI that can:Understand and respond to complex requests: A LAM can interpret requests expressed in natural language, including ambiguous or open-ended ones, and provide relevant and informative responses.Perform actions in the real (or virtual) world: A LAM can interact with the outside world, such as controlling devices, booking flights, or even driving a car.Continuously learn: LAMs are able to learn from new experiences and improve their performance over time.Why Choose Lam (Large Action Models) for Your Business?Lam (Large Action Models) offers a wide range of opportunities to improve every aspect of a company. Here are the main advantages:Process Automation: AI allows you to automate repetitive tasks, freeing up human resources for more strategic activities.
 Personalization of the User Experience: With AI-based technologies, mobile apps and web apps can analyze user behaviors to offer personalized experiences.
 Improved Business Decisions: Data analysis powered by AI provides useful insights to make informed decisions, reducing the margins of error.
 Operational Efficiency: The implementation of intelligent solutions allows you to optimize business processes, reducing costs and increasing productivity.
 Competitive Advantage: Companies that integrate AI into their apps and websites can stand out on the market, offering faster and more innovative services.Practical Applications of the LAM (Large Action Models)Here are some examples of how AI can be used in apps and websites:Chatbots and Virtual Assistants: Offer 24/7 customer support, improving user satisfaction.
 Personalized Recommendations: Used in e-commerce sites to suggest products based on user interests.
 Predictive Analytics: Tools that predict market trends and customer behavior.
 Marketing Automation: Sending targeted emails and push notifications based on user behavior.
 Information Security: Fraud detection systems and advanced data protection.Frequently Asked Questions (FAQ)1. How much does it cost to implement LAM (Large Action Models) in a mobile app or web app? The cost varies based on the complexity of the project and the features required. Basic solutions can start from a few thousand euros, while advanced projects can require more significant investments.2. How long does it take to develop an app based on LAM (Large Action Models)? Development times depend on the specifics of the project. A simple solution could be created in 2-3 months, while more complex projects can take up to a year.3. Is LAM (Large Action Models) suitable only for large companies? Absolutely not. Even small and medium-sized companies can benefit from lam (Large Action Models), especially to improve customer management and optimize internal processes.4. How to ensure data security with LAM (Large Action Models)? Implementing advanced encryption systems and complying with privacy regulations such as GDPR is essential to protect user data.5. Which industries benefit most from LAM (Large Action Models)? Lam (Large Action Models) is particularly useful in industries such as retail, healthcare, finance, logistics and entertainment.ConclusionInvesting in Lam (Large Action Models) to create mobile apps and web apps is not only an innovative choice, but also a strategic one. This technology allows companies to improve customer experience, optimize processes and remain competitive in an ever-changing market. If you want to take your business to the next level, lam (Large Action Models) is the solution you are looking for.To find out how to integrate lam (Large Action Models) into your projects, contact a team of experts today!