Nine out of ten leading companies invest in AI.
While this proves the appeal of AI, in reality, only 35% of businesses use AI in their operations.
Why the big gap, then?
Companies have been relying on artificial intelligence (AI) for years now—mainly via pricey enterprise-level platforms for security, HR, accounting, and personalization (in ecommerce).
But it’s only in the last few years that AI has trickled down to mass (and free) solutions that SMBs leverage daily. Think content creation, SEO and image optimization, FAQ sections, landing page development, email automation, and video generation… all aimed at improving user experiences across the entire customer journey.
Ironically, what seems to be lagging behind in the AI boom is site speed.
Well, not anymore.
As of 2024, AI-enhanced speed optimization is officially on the market, and it’s time to explore your options. But first…
For online businesses today, a lot is at stake. Especially if your website takes over 3 seconds to load.
The ramifications of a 0.1s longer page load are seen across the entire buyer journey:
And when it comes to faster and better, no one does it quite like Google.
In 2019, the Chromium team introduced the first standardized system to measure user experience—Core Web Vitals.
Google's Core Web Vitals are a set of three performance metrics—Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS)—used by business owners to analyze how users experience their websites.
As of 2024, Google processes 6.9 billion daily search queries using global AI technologies. The company recently released substantial improvements to its Speculation Rules API, which allows site owners to use predictive AI to preload entire pages in the background before users even click on a link.
Thus, the beginning of near-instant browsing experiences.
To capture the magnitude of the recent advancements, have a quick look at where the site speed optimization industry is now.
As a website owner, you can currently leverage powerful optimization technologies, like:
This method involves reducing the file size of images used on a website while preserving their visual quality. Image optimization tools and plugins employ compression algorithms to remove redundant data from images without compromising their appearance. Other techniques include resizing and selecting the appropriate file format (JPEG, PNG, GIF) based on the content of the image.
Minification involves removing unnecessary characters from code files (HTML, CSS, JavaScript), such as whitespace, comments, and line breaks, reducing their file size. This process helps to streamline code delivery and improve loading times.
Caching stores copies of web pages, images, and other static content on a server or user's device, allowing for quicker retrieval and delivery of content on subsequent visits. This reduces the need for repeated requests to the server, resulting in faster loading times. Technologies used include browser caching, server-side caching (e.g., Redis, Memcached), and Content Delivery Networks (CDNs).
CDNs distribute website content across multiple servers located in different geographical locations. When a user requests content, the CDN delivers it from the server nearest to them, reducing latency and improving load times. This approach leverages caching and network optimization techniques to enhance performance. Technologies used include CDN providers' infrastructures and edge caching mechanisms.
Server-side optimization involves optimizing server configurations, databases, and code execution to improve website performance. This includes techniques such as server-side caching, database indexing, code optimization, and reducing server response times. Technologies used include server software (e.g., Apache, NGINX), database management systems (e.g., MySQL, PostgreSQL), and server-level optimization tools.
Lazy loading delays the loading of non-essential content (e.g., images, videos) until the user scrolls to the part of the page where it's needed. This helps prioritize the loading of critical content first, improving initial page load times and perceived performance. Technologies used include JavaScript libraries and browser APIs.
Overall, traditional site speed optimization techniques aim to deliver fast-loading web pages to enhance user experience, increase engagement, and improve business conversion rates.
However, they often require manual intervention and ongoing maintenance to ensure optimal performance.
This is where AIO comes into play—trailblazing to a more intuitive, user behavior-based performance optimization.
Artificial Intelligence Optimization, also known as AIO, is a new approach to website optimization that leverages AI technology to improve user experience, business results, and overall page loading speed.
It's an advancement in the world of site speed and performance optimization, allowing site owners to offer near-instant browsing experiences to their visitors.
Currently, there are several AI technologies used for optimizing websites:
Currently, site owners can employ several AI technologies that are developed to enhance user experience and conversion rates by rethinking traditional site speed optimization processes:
AI can anticipate user actions by analyzing past interactions, allowing it to preload pages or assets before users even click on them. This means less waiting time and a smoother browsing experience for your visitors.
By understanding usage patterns, AI can decide which elements to load in advance, sparing users from unnecessary delays. This technique positively impacts performance metrics such as Largest Contentful Paint (LCP) and Time to Interactive (TTI).
AI-driven tools automatically resize and compress large images and videos without sacrificing quality. Some advanced solutions can adjust the resolution based on screen size and network conditions, ensuring optimized media delivery to every user. By optimizing media content, this technique improves page load time, reduces server load, and boosts user engagement.
AI tools continuously monitor website performance, detecting issues as they happen. By analyzing data in real time, AI can make instant improvements like adjusting cache settings, reallocating resources, and optimizing content delivery based on current load and user behavior. This technique positively impacts performance metrics such as server response time, Time to First Byte (TTFB), and overall website availability.
AI analyzes website code to identify and eliminate redundancies, reduce HTTP requests, and prioritize critical resources for faster loading. By optimizing code structure and dependencies, AI ensures a more efficient website experience. This technique positively impacts performance metrics such as page load time, rendering time, and overall website responsiveness.
AI goes beyond traditional caching methods, making smart decisions about what content to cache and for how long based on user behavior. This dynamic caching approach ensures users receive updated content quickly, enhancing their browsing experience and guaranteeing a consistently high cache hit rate.
Navigation AI is an AI-enhanced web optimization tool that predicts and analyzes user behavior to prerender entire pages during the browsing journey before they even click on a link.
This technology enables site owners across all platforms to provide instant browsing experiences on desktop and mobile devices, ultimately boosting customer engagement and increasing conversion rates.
Navigation AI works by leveraging the Speculation Rules API to first apply AI-powered initial predictions on page load based on historical data. Next, it analyzes user behavior, adjusts the predictions, and instructs the Speculation Rules API to prerender (or prefetch) a page once we’re sure what the next action will be.
Join the waitlist for Navigation AI and unlock instant user experiences →
Here are the improvements Navigation AI is showing so far:
AI-powered voice assistants are used by 97% of mobile users, and over 4 billion devices currently integrate this technology. Additionally, 40% of individuals use the voice search feature daily.
The global AI market is expected to reach $1.85 trillion by 2030. Currently, industries like professional services, retail, financial services, healthcare, and high tech are the quickest in adopting AI into various aspects of their business operations.
AI is a broad field focused on creating systems capable of human-like tasks. Machine learning is a subset of AI where algorithms learn from data to make predictions. Deep learning is a specialized form of machine learning that uses neural networks to model complex patterns in data.
Lora has 7+ years of experience developing in-depth, specialized content for SaaS companies in the CEE region. She has sourced and collaborated with subject-matter experts on site speed optimization for WordPress, Core Web Vitals, and the future of web performance. "If you can't explain it to a 7-year-old, you've not researched it well enough" is Lora's guiding principle when publishing professional insight for complex technical topics.