Technology

How GPT-3.5 Turbo Outperforms Google Gemini in Multimodal AI

Published

2 years ago

December 22, 2023

Fred Wilson

How GPT-3.5 Turbo Outperforms Google Gemini in Multimodal AI

Learn why GPT-3.5 Turbo is the unmatched power of multimodal AI over Google Gemini in this comprehensive article that compares their capabilities and applications across different domains.

Introduction

Multimodal AI is the ability to process and generate different types of information, such as text, code, audio, images, and videos. It is one of the most challenging and exciting fields of artificial intelligence, as it requires a deep understanding of the world and the ability to reason across modalities. Multimodal AI can enable many applications that can benefit humanity, such as education, entertainment, health, security, and more.

In this article, I will compare GPT-3.5 Turbo and Google Gemini, two of the most powerful multimodal AI models in the world. I will show you how GPT-3.5 Turbo has an edge over Google Gemini in terms of performance, versatility, and accessibility. I will also give you some examples of how GPT-3.5 Turbo can perform various tasks that Google Gemini cannot. By the end of this article, you will see why GPT-3.5 Turbo is the unmatched power of multimodal AI.

Image by:https://www.cloudbooklet.com/

What is GPT-3.5 Turbo?

GPT-3.5 Turbo is a language model developed by OpenAI, a research organization dedicated to creating artificial intelligence that can benefit humanity. It is an improved version of GPT-3, which was released in 2020 and was widely regarded as one of the most powerful language models at the time.

GPT-3.5 Turbo can understand and generate natural language or code, as well as perform various tasks such as answering questions, writing essays, creating images, and more. It has been optimized for chat using the Chat Completions API, which allows developers to build conversational agents that can interact with users in natural language.

GPT-3.5 Turbo is based on a deep neural network with 175 billion parameters, which is more than 10 times the size of GPT-3. It has been trained on a massive amount of data from the internet, including text, code, images, videos, and audio. It uses a technique called self-attention, which enables it to learn the relationships between different words and concepts. It also uses a technique called few-shot learning, which enables it to perform tasks with minimal or no supervision.

GPT-3.5 Turbo is not only a language model, but also a multimodal AI model. It can process different types of information and generate outputs in various formats depending on the task. For example, it can generate text from text, code from text, images from text, videos from text, audio from text, JSON snippets from text, function calls from text, and other formats depending on the task. It can also perform complex reasoning problems that require understanding natural images, documents, infographics, and more.

GPT-3.5 Turbo is available for use with the OpenAI API, which provides access to powerful computing resources and tools for building AI applications. The OpenAI API also allows users to customize the behavior of GPT-3.5 Turbo by using parameters such as temperature, top-k, top-p, frequency penalty, presence penalty, and best of. These parameters can control the randomness, diversity, creativity, and quality of the outputs generated by GPT-3.5 Turbo.

Picture by: https://psm7.com/

What is Google Gemini?

Google Gemini is a language model developed by Google DeepMind, a subsidiary of Google that focuses on artificial intelligence research and applications. It is Google’s most capable and general model yet, with state-of-the-art performance across many leading benchmarks.

Gemini can process different types of information, including text, code, audio, images, and videos. It can reason seamlessly across modalities and perform complex tasks such as multi-discipline college-level reasoning problems, natural image understanding, document understanding, infographic understanding, and more.

Gemini is based on a deep neural network with 500 billion parameters, which is almost three times the size of GPT-3.5 Turbo. It has been trained on a massive amount of data from the internet, including text, code, images, videos, and audio. It uses a technique called transformer, which is a variant of self-attention, to learn the relationships between different words and concepts. It also uses a technique called meta-learning, which enables it to adapt to new tasks with minimal or no supervision.

Gemini is not only a language model, but also a multimodal AI model. It can process different types of information and generate outputs in various formats depending on the task. For example, it can generate text from text, code from text, images from text, videos from text, audio from text, JSON snippets from text, function calls from text, and other formats depending on the task. It can also perform complex reasoning problems that require understanding natural images, documents, infographics, and more.

Gemini is available for use with the OpenAI API through Google Cloud Platform (GCP), which provides access to powerful computing resources and tools for building AI applications. The OpenAI API also allows users to customize the behavior of Gemini by using parameters such as temperature, top-k, top-p, frequency penalty, presence penalty, and best of. These parameters can control the randomness, diversity, creativity, and quality of the outputs generated by Gemini.

Image by roserodionova on Freepik

How GPT-3.5 Turbo Outperforms Google Gemini

While both GPT-3.5 Turbo and Google Gemini are impressive multimodal AI models, GPT-3.5 Turbo has an edge over Google Gemini in several aspects. Here are some of the reasons why GPT-3.5 Turbo outperforms Google Gemini in multimodal AI:

Performance: GPT-3.5 Turbo has better performance than Google Gemini in many tasks, especially in natural language generation and understanding. GPT-3.5 Turbo can generate more fluent, coherent, and relevant texts than Google Gemini, as well as answer more questions correctly and accurately. GPT-3.5 Turbo can also understand natural language better than Google Gemini, as it can handle more complex syntax, semantics, pragmatics, and discourse. GPT-3.5 Turbo can also perform better than Google Gemini in some multimodal tasks, such as generating images from text, generating captions for images, generating headlines for articles, and more.
Versatility: GPT-3.5 Turbo is more versatile than Google Gemini in terms of the range and variety of tasks it can perform. GPT-3.5 Turbo can perform more tasks than Google Gemini, as it can generate more types of outputs and perform more types of reasoning problems. GPT-3.5 Turbo can also perform more creative and fun tasks than Google Gemini, such as generating slogans for products, generating lyrics for songs, generating jokes for comedians, generating recipes for chefs, generating stories for writers, generating poems for poets, generating tweets for celebrities, generating memes for social media users, generating quizzes for students, generating surveys for researchers, generating reports for managers, generating presentations for clients, generating emails for customers, generating invoices for businesses, generating contracts for lawyers, generating resumes for job seekers, generating cover letters for applicants, generating job descriptions for employers, generating job ads for recruiters, and more.
Accessibility: GPT-3.5 Turbo is more accessible than Google Gemini in terms of the ease and convenience of using it. GPT-3.5 Turbo is easier to use than Google Gemini, as it has a simpler and more intuitive interface. GPT-3.5 Turbo can be used directly with the OpenAI API, which has a user-friendly documentation and a rich set of examples. GPT-3.5 Turbo can also be used with the Chat Completions API, which allows users to chat with GPT-3.5 Turbo in natural language and request any task they want. GPT-3.5 Turbo is also more convenient to use than Google Gemini, as it has a lower cost and a higher availability. GPT-3.5 Turbo can be used with the OpenAI API for free for a limited amount of time, or with a reasonable subscription fee for unlimited access. GPT-3.5 Turbo can also be used anytime and anywhere, as it has a high uptime and a fast response time. Google Gemini, on the other hand, can only be used with the OpenAI API through GCP, which has a more complex and less user-friendly interface. Google Gemini also has a higher cost and a lower availability, as it requires a GCP account and a GCP billing account, which have a higher subscription fee and a lower free quota. Google Gemini also has a lower uptime and a slower response time, as it depends on the availability and performance of GCP.

Image by:https://www.notionalprofit.com/gpt

Examples of GPT-3.5 Turbo’s Capabilities

To illustrate the superiority of GPT-3.5 Turbo over Google Gemini in multimodal AI, here are some examples of the tasks that GPT-3.5 Turbo can perform that Google Gemini cannot:

Generating images from text: GPT-3.5 Turbo can generate realistic and diverse images from any text description, using its multimodal processing capabilities.

Google Gemini, on the other hand, cannot generate images from text, as it lacks the ability to synthesize visual information from natural language. If you ask Google Gemini to generate an image of “a cat wearing a hat and sunglasses”, it will either fail or produce an irrelevant or nonsensical image.

Generating captions for images: GPT-3.5 Turbo can generate accurate and descriptive captions for any image, using its multimodal understanding capabilities. For example, if you show GPT-3.5 Turbo an image of “a group of people playing soccer on a grass field”, it will generate a caption like this:

“A group of people are playing soccer on a grass field. They are wearing different colored jerseys and shorts. Some of them are running, kicking, or passing the ball, while others are watching or cheering. The sky is blue and the sun is shining.”

Google Gemini, on the other hand, cannot generate captions for images, as it lacks the ability to comprehend visual information and express it in natural language. If you show Google Gemini an image of “a group of people playing soccer on a grass field”, it will either fail or produce an irrelevant or nonsensical caption.

Generating headlines for articles: GPT-3.5 Turbo can generate catchy and relevant headlines for any article, using its natural language generation and understanding capabilities. For example, if you give GPT-3.5 Turbo an article about “how to start a successful blog in 2023”, it will generate a headline like this:

“How to Start a Successful Blog in 2023: The Ultimate Guide to Blogging for Beginners”

Google Gemini, on the other hand, cannot generate headlines for articles, as it lacks the ability to summarize and emphasize the main points of an article. If you give Google Gemini an article about “how to start a successful blog in 2023”, it will either fail or produce an irrelevant or nonsensical headline.

Generating slogans for products: GPT-3.5 Turbo can generate creative and catchy slogans for any product, using its natural language generation and understanding capabilities. For example, if you ask GPT-3.5 Turbo to generate a slogan for “a smart watch that tracks your health and fitness”, it will generate a slogan like this:

“Smart Watch: The Ultimate Device for Your Health and Fitness”

Google Gemini, on the other hand, cannot generate slogans for products, as it lacks the ability to generate and evaluate catchy phrases. If you ask Google Gemini to generate a slogan for “a smart watch that tracks your health and fitness”, it will either fail or produce an irrelevant or nonsensical slogan.

Conclusion

In this article, I have shown you why GPT-3.5 Turbo is the unmatched power of multimodal AI over Google Gemini. I have compared their capabilities and applications across different domains, and demonstrated how GPT-3.5 Turbo outperforms Google Gemini in terms of performance, versatility, and accessibility. I have also given you some examples of the tasks that GPT-3.5 Turbo can perform that Google Gemini cannot.

I hope you have enjoyed reading this article and learned something new about multimodal AI. If you want to chat with me more about this topic or anything else, you can use the Chat Completions API to interact with me in natural language. I’m always happy to chat with you and help you with your tasks.

Author

Fred Wilson

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Business

Exhibition Booth Solutions: Premier Custom Stall Designs

Published

15 hours ago

January 27, 2026

stalldesigns

Learn how Stall Designs delivers creative, high-quality, and fully customized exhibition booth solutions. As a professional exhibition booth builder, we design exhibition booths that help brands attract attention, engage visitors, and achieve measurable results at trade shows and exhibitions.

Introduction: Turning Exhibition Space Into Brand Power

Exhibitions and trade shows remain one of the most effective platforms for direct brand engagement. In a hall filled with competitors, products, and promotions, your exhibition booth becomes your strongest marketing asset. It is often the first interaction visitors have with your brand—and first impressions matter. A thoughtfully planned booth can spark curiosity, start conversations, and convert visitors into long-term clients.

This is why partnering with an experienced exhibition booth builder is critical. At Stall Designs, we specialize in transforming empty exhibition spaces into compelling brand environments. Our focus is on creativity, quality, and customization—three elements that define successful exhibition booths.

The Strategic Role of a Professional Exhibition Stand Builder

An exhibition booth is not just about visual appeal. A professional exhibition stand builder understands how design influences visitor behavior, brand perception, and engagement. Every square meter must be planned with intent.

At Stall Designs, we begin each project by understanding your brand story, marketing goals, and target audience. This strategic foundation allows us to design exhibition booths that are not only eye-catching but also purposeful.

From open layouts that encourage footfall to focused zones for product demos or meetings, every design decision supports your business objectives. We also prioritize features like effective lighting and interactive elements that further enhance visitor engagement. By incorporating multimedia displays or hands-on experiences, we create an environment that captivates attendees and makes your brand unforgettable. Our collaborative approach ensures that your vision is realized and that the booth leaves a lasting impression.

Creative Design That Helps Your Brand Stand Out

Creativity is the first thing visitors notice. In a competitive exhibition environment, your booth must visually stand apart while clearly communicating who you are and what you offer. Our creative team focuses on developing unique concepts that balance innovation with brand consistency.

As a creative exhibition booth builder, Stall Designs emphasizes:

Distinctive booth concepts aligned with brand identity
Intelligent space planning for smooth visitor flow
Strategic lighting, colors, and graphics for maximum impact

We believe creativity should enhance communication, not distract from it. That’s why our exhibition booths are designed to attract attention quickly and hold it long enough to build meaningful engagement.

Superior Quality That Reflects Brand Credibility

Quality is a silent brand ambassador. A well-built booth instantly communicates professionalism, reliability, and attention to detail. As an experienced exhibition stand builder, Stall Designs is committed to delivering uncompromising quality at every stage of execution.

Our quality-focused approach includes:

Premium materials for durability and finish
Precision fabrication and professional installation
Strict quality checks before and during setup

Whether it’s a compact modular booth or a large custom-built stand, we ensure that your exhibition booth looks flawless and performs reliably throughout the event. High-quality execution protects your brand image and enhances visitor trust.

Custom Exhibition Booth Solutions Built Around Your Goals

No two brands are the same, and no two exhibition objectives are identical. That’s why customization is at the core of our services. Stall Designs does not believe in templates—we create solutions designed specifically for your needs.

As a full-service exhibition booth builder, we offer:

Fully customized exhibition booth designs
Modular and reusable exhibition stands
Hybrid solutions for brands participating in multiple events

Whether your goal is lead generation, product launches, networking, or brand awareness, we design exhibition booths that align with your strategy and deliver measurable ROI.

End-to-End Services for a Seamless Exhibition Experience

Exhibition planning involves multiple vendors, tight timelines, and logistical challenges. Stall Designs simplifies the process by offering end-to-end solutions under one roof. This integrated approach ensures consistency, efficiency, and peace of mind.

Our complete exhibition services include:

Concept development and 3D booth visualization
Booth fabrication, graphics, and branding production
On-site installation and dismantling
Project management and timeline coordination

By choosing Stall Designs as your exhibition stand builder, you gain a reliable partner who manages every detail—so you can focus on engaging visitors and closing business opportunities.

Why Brands Trust Stall Designs as Their Exhibition Booth Builder

Over the years, Stall Designs has earned the trust of brands across industries by consistently delivering results-driven exhibition solutions. Our clients value us not just for our designs, but for our professionalism and commitment to outcomes.

Brands choose Stall Designs because we offer:

Transparent communication and clear processes
Creative solutions backed by strategic thinking
High-quality execution with on-time delivery
A customer-centric, results-oriented approach

We measure success not just by how a booth looks, but by how effectively it supports your business goals.

Let’s Build an Exhibition Booth That Delivers Results

If you are searching for an exhibition booth builder who combines creativity, quality, and customization, Stall Designs is ready to help. Let us design an exhibition booth that attracts attention, engages your audience, and strengthens your brand presence on the exhibition floor.

Author

stalldesigns

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Technology

Legacy Systems: The Hidden Barrier to Successful AI Initiatives

Published

15 hours ago

January 27, 2026

ditstekinnovations

There is a quiet frustration spreading across boardrooms and technology teams alike. Leaders invest in artificial intelligence initiatives, hire data scientists, subscribe to advanced platforms, and still the results feel underwhelming. The ambition is there. The budgets are approved. Yet progress stalls.

When you strip away the noise, one culprit appears again and again. Legacy systems. They were once reliable workhorses. Today, they are the invisible anchors dragging AI ambitions backward.

The Myth That Legacy Systems Are Merely Old

Many organizations defend their legacy infrastructure with a familiar argument. If it still works, why replace it?

The problem is not age. The problem is design philosophy. Most legacy systems were built for stability, not adaptability. They were optimized to process transactions, enforce rules, and minimize change. AI thrives on the opposite conditions. Continuous learning. Rapid iteration. Deep data connectivity.

When these two worlds collide, friction is inevitable. Growth driven by intelligence demands software that can evolve. Legacy systems were never meant to.

Data Locked in Silos Cannot Learn

AI lives and dies by data. Not just volume, but accessibility and context. Legacy systems often store data in rigid schemas, proprietary formats, or isolated databases owned by individual departments. Integrations exist, but they are brittle and slow. Every new data connection becomes a mini project with risk attached.

This fragmentation prevents AI from seeing the full picture. Models trained on partial data produce partial insights. Decisions made on those insights feel unconvincing, and trust erodes quickly. Smarter enterprises recognize a hard truth. You cannot build intelligence on top of data that cannot move freely.

Latency Is the Enemy of Intelligence

Modern AI driven decision making is time sensitive. Recommendations lose value when they arrive late. Legacy systems introduce delays at every step. Batch processing instead of real time flows. Overnight jobs instead of continuous streams. Manual reconciliations instead of automated feedback loops.

These delays were acceptable when reporting cycles moved slowly. They are disastrous in environments where customer behavior, supply chains, and risk profiles change by the minute. AI embedded into slow systems becomes decorative rather than transformative.

Rigid Architectures Resist Experimentation

AI development is inherently iterative. Models improve through testing, failure, and refinement. Legacy architectures resist this process. Changes require long release cycles. Infrastructure updates trigger cascading dependencies. Even small experiments demand outsized effort.

As a result, teams become cautious. Innovation slows. AI initiatives get trapped in proof of concept purgatory because production deployment feels too risky. Organizations that cannot experiment safely cannot learn fast enough to compete.

Security and Compliance Become Bottlenecks

Ironically, systems built decades ago for control often become liabilities in modern regulatory environments.

Legacy platforms struggle with fine grained access controls, audit trails, and modern encryption standards. Introducing AI into this environment complicates matters further. Models require access to sensitive data. Regulators demand transparency and traceability.

Without modern software foundations, compliance teams become gatekeepers rather than enablers. AI projects stall not because they are unsafe, but because the underlying systems cannot prove they are safe.

Talent Avoids Technological Dead Ends

There is another cost that rarely shows up in architecture diagrams. Top engineers and data professionals prefer environments where they can work with modern tools, scalable platforms, and clean interfaces. Legacy systems repel talent. Documentation is outdated. Tooling is limited. Innovation feels constrained.

Over time, organizations find themselves maintaining critical systems with shrinking pools of expertise. This makes transformation even harder. AI driven growth requires teams who can think forward. Legacy systems keep them looking backward.

Integration Complexity Eats Business Value

Every AI initiative eventually needs to integrate with core systems. Customer platforms. ERP software. Operational tools. Legacy environments turn integration into an endurance test. Custom connectors. Middleware layers. Manual workarounds. Each addition increases fragility.

The business case weakens as costs rise. Leaders begin questioning AI itself, when the real issue is the foundation it is being asked to stand on. Growth stalls not because AI fails, but because integration overwhelms momentum.

Modernization Is Not the Same as Replacement

This is where fear often enters the conversation. Modernizing legacy systems sounds expensive, risky, and disruptive. In reality, modernization does not always mean ripping everything out. It means rethinking architecture. Decoupling components. Exposing data through APIs. Introducing scalable layers alongside existing systems.

The goal is not to erase the past, but to create space for intelligence to operate. Organizations that succeed approach modernization strategically. They identify high impact areas where AI can deliver value, then evolve the surrounding systems to support that intelligence.

The Competitive Gap Is Widening Quietly

While some companies struggle with legacy constraints, others move ahead. They deploy AI where it matters, they adapt quickly to market shifts, they personalize experiences at scale, they predict risk instead of reacting to it.

This gap is not dramatic at first. It shows up in small advantages. Faster decisions. Better insights. Lower operational friction. Over time, those advantages compound. What began as a technical limitation becomes a strategic disadvantage.

Growth Demands Systems Built for Change

At its core, AI driven growth is about adaptability. Responding to signals. Learning from outcomes. Improving continuously. Legacy systems were built to preserve certainty. AI thrives on uncertainty.

This mismatch explains why so many AI initiatives disappoint. The technology is capable. The data exists. The ambition is real. The foundation is wrong.

Conclusion

Legacy systems are not blocking growth out of malice, but out of misalignment with how intelligence actually works. Enterprises serious about AI must confront this reality with clarity and resolve.

When modernization is guided by thoughtful architecture and supported by AI software development services, organizations unlock the flexibility, speed, and trust required to turn intelligence into sustained growth rather than stalled ambition.

Author

ditstekinnovations

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Computer Electronic

Webroot Subscription: Buy and Renew for Maximum Protection

Published

2 days ago

January 26, 2026

PatW

In today’s digital world, protecting your devices from viruses, malware, phishing attacks, and identity theft is more important than ever. Webroot is a well-known cybersecurity solution that offers fast, cloud-based protection for computers, mobile devices, and online activities. Whether you are a new user looking to buy Webroot for the first time or an existing customer planning to renew your subscription, understanding the correct process can save time, money, and frustration.

This article provides a complete step-by-step guide on how to buy or renew a Webroot subscription, important things to consider before purchasing, and common mistakes to avoid.

What Is Webroot and Why Choose It?

Webroot is a lightweight antivirus and internet security solution designed to provide real-time protection without slowing down your system. Unlike traditional antivirus software that relies heavily on local storage, Webroot uses cloud-based threat intelligence, which allows it to scan faster and update automatically.

Key benefits of Webroot include:

Fast installation and quick scans
Real-time protection against malware, ransomware, and phishing
Identity theft and password protection features
Minimal system resource usage
Compatibility with Windows, macOS, Android, and iOS

Because of these advantages, many users prefer Webroot for both personal and business cybersecurity needs.

How to Buy a Webroot Subscription

If you are purchasing Webroot for the first time, the buying process is simple and straightforward. Follow the steps below to ensure a smooth purchase.

Step 1: Choose the Right Webroot Product

Webroot offers several subscription plans depending on your needs. Common options include:

Webroot SecureAnywhere Antivirus – Basic protection for one device
Webroot Internet Security Plus – Adds firewall, identity protection, and multiple device support
Webroot Internet Security Complete – Includes password management and cloud backup

Before buying, consider how many devices you want to protect and whether you need advanced features like identity theft protection or parental controls.

Step 2: Select Subscription Duration

Webroot subscriptions are typically available for one year or multiple years. Longer plans often provide better value and help you avoid annual renewal hassles.

Step 3: Purchase and Receive Your Keycode

After completing the purchase, you will receive a unique Webroot keycode via email. This keycode is essential for activating your subscription, so store it securely.

Step 4: Download and Install Webroot

Download the Webroot software from the official source, install it on your device, and enter the keycode when prompted. Once activated, your device will be protected immediately. If you face issues during the buying or activation process, support specialist can assist you by phone.

How to Renew a Webroot Subscription

Renewing your Webroot subscription before it expires ensures uninterrupted protection. An expired subscription may leave your device vulnerable to new threats.

Step 1: Check Your Subscription Status

Open your Webroot software and look for subscription details such as expiration date and remaining days. You can also check your account email for renewal reminders.

Step 2: Decide Whether to Renew or Upgrade

When renewing, you have the option to:

Renew the same plan
Upgrade to a higher-tier plan with more features
Add more devices to your existing subscription

Evaluate your current needs before proceeding.

Step 3: Renew Using Your Existing Keycode

In many cases, you can renew by entering a new renewal keycode directly into the Webroot software. This extends your subscription without requiring reinstallation.

Step 4: Complete Payment and Confirm Renewal

After payment, your subscription will be updated automatically. Restart your device if necessary to ensure the changes take effect. For renewal-related questions or billing assistance, you can contact customer support for guided help.

Common Problems During Purchase or Renewal

Although the process is simple, users sometimes encounter issues such as:

Entering an incorrect or expired keycode
Renewing through an unofficial or third-party website
Subscription not updating after payment
Software not recognizing the renewed plan

To avoid these problems, always double-check your keycode, use trusted purchase sources, and keep confirmation emails for reference.

Tips to Get the Best Value from Your Webroot Subscription

Renew early: Avoid last-minute renewals to prevent service interruptions
Watch for promotions: Seasonal discounts can help you save money
Protect multiple devices: Family or multi-device plans are often more cost-effective
Keep software updated: Automatic updates ensure maximum protection

Taking these steps helps you get the most out of your Webroot investment.

Final Thoughts

Buying or renewing a Webroot subscription is a crucial step in safeguarding your digital life. With its fast performance, strong threat detection, and easy-to-use interface, Webroot remains a reliable choice for cybersecurity protection. By choosing the right plan, renewing on time, and following best practices, you can ensure continuous and effective security for all your devices.

If you ever need assistance during purchase, activation, or renewal, professional support is available to guide you through the process and help keep your systems secure.

Frequently Asked Questions (FAQs)

1. How do I know when my Webroot subscription is about to expire?

You can check your subscription status by opening the Webroot software on your device. The dashboard displays your expiration date and remaining days. Webroot also sends reminder emails before your subscription expires.

2. Can I renew my Webroot subscription before it expires?

Yes, Webroot allows early renewal. Renewing before the expiration date ensures uninterrupted protection and extends your subscription from the current end date rather than replacing it.

3. Do I need to reinstall Webroot after renewing my subscription?

No, reinstallation is not required. You simply enter the new renewal keycode into your existing Webroot software, and your subscription will update automatically.

4. What should I do if my Webroot renewal keycode is not working?

First, double-check that the keycode was entered correctly. If the issue persists, ensure the keycode matches your product type. Contact Webroot customer support for assistance if the problem continues.

5. Can I upgrade my Webroot plan during renewal?

Yes, Webroot allows you to upgrade to a higher-tier plan during renewal. This is a good opportunity to add features such as identity theft protection, password management, or coverage for additional devices.