AI Project Optimization: How to Use Artificial Intelligence to Improve Websites and Digital Products

Let's face it. The way you optimise your project does not have to be the way that you have always used/known to optimise your project. Forget about manual keyword research. Forget about developing and maintaining Excel spreadsheets of your competitor's keywords. Forget about "eyeballing" and manually making corrections. Those methods have become obsolete in the world of optimisation. All you need to remember is that the two main values in today's optimisation are speedy execution and pinpoint precision—there is no more "guessing" how your SEO campaigns will perform.

If you are not currently using Artificial Intelligence in your optimisation efforts, you are wasting money. Every hour spent manually working will cost you potential profit. Every day you delay launching your product will cost you additional clients. The only viable option today is to leverage A.I. It automates processes, produces its own recommendations, and discovers trends and patterns that humans are incapable of detecting.

"After testing 43 different automated processes in the areas of crypto and Web3 for the past three years, we can tell you that companies that use A.I optimise their time-to-market in a 10x fashion. These are results—these are not theories. These are examples and results from our projects."

I will be discussing what A.I optimisation is, how it functions and performs in the areas of SEO, UX and Analytics; the types of tools available to you; and how you can implement A.I without a development team or having to spend millions of dollars. No theories—just practical application and real-world examples.

What Is A.I Optimisation?

A.I optimisation includes using Machine Learning, Neural Networks and Generative Designs to better improve all metrics associated with the digital product you are developing. Examples of digital product metrics are: traffic, conversions, load time, user retention, etc. All can be improved with A.I. Predictive algorithms are fundamentally a better way to optimize a business's marketing procedures than manual labor (which includes estimating and analyzing manually).

For example:

• Keyword searches should take about 3 days; with AI, after analyzing the first 10 seconds, the AI will have finished the keyword search.
• A/B testing should take about a month; with AI, the best option can be determined in about a week.
• Google Analytics can take about an hour; AI uses its ability to analyze data in a more efficient manner than a human by identifying users leaving and analyzing them.

In addition, another crucial difference between AI's ability and humans is that a neural network's capacity to deal with massive quantities of data cannot be matched by a human; therefore, companies that are now training AI are seeing increases of 20-35 percent in their marketing campaign's returns in just the first quarter alone (source: McKinsey, 2024).

ASCN.AI's capabilities of analyzing the on-chain data to provide a trading signal for users, in addition to how quickly an AI can find a trading signal, were demonstrated by one of its customers making a $1,000 profit on just two AI prompts during the rapid decline of Falcon Finance.

The need for AI capabilities will become increasingly important for all internet projects in the years to come.

The digital landscape will change at an incredible pace by 2025; decisions will need to be made immediately based on the information that is constantly being generated. For example, although one may notice new trends or changes in user patterns every hour, the rapid pace of the digital market will not allow companies that operate manually to respond quickly enough; therefore, opportunities will be lost as a result of not responding fast enough.

Here are the most prominent issues related to manual data collection methods and solutions that AI offers to solve them:

1: Productivity — In today's technology-driven era, data collection for many digital marketing companies takes a significant amount of time. Organizations are typically spending as much as 40 percent of their employee's time gathering and processing data. As an example, the data will take weeks to gather; however, if organizations use an automated collection and analysis system, that same analysis will take minutes to perform.

2: Cost of Human Errors — Businesses typically waste a great deal of resources when making marketing decisions due to human error. The cost of having an unsuccessful marketing campaign or implementing a mistake will be great. Predictive models allow you to experience results ahead of time by simulating your experience before launch. This means you are able to test multiple ideas without having any financial consequences for your business.

3: Scalability — automation offers marketers the ability to be more productive and efficient by eliminating repetitive tasks. One marketer cannot manage and promote tens of thousands of pages at once, and even managing several different data sources can be challenging. Automation within the context of using AI allows for running many processes simultaneously, analyzing keyword optimization on a real-time basis, analyzing user behavior at a granular level, and generating personalized content at scale for millions of customers.

By 2026, it is estimated that over 75% of marketing departments will be using AI tools or solutions to help them make better decisions regarding their products or services (Gartner).

Additionally, we have created a platform at ASCN.AI where we have the capacity to do the work of 10 people using tools and technology that allow us to effectively evaluate and analyze more complex forms of web data (on-chain metrics, transaction volumes, patterns of large traders, etc.) than can be obtained using traditional data management platforms that serve large numbers of prospects or clients.

How Would You Use AI for Optimizing Your Website and Web Presence?

AI provides immediate feedback in relation to three important areas:

1. Search Engine Optimization (SEO): improving your web pages' visibility in search engine results and increasing the amount of traffic to your web pages.
2. User Experience (UX): enhancing the personal experience of the user through personalizing the web page.
3. Website Performance: improving the speed of the loading time of a web page as well as how resources are managed on the web page.

Finding the right AI tools to optimize your website and its content is becoming a common practice for both marketers and webmasters. The following lists some of the most popular forms of AI applications in the field of optimizing websites and projects.

Automating SEO with AI

Automating SEO is one of the most critical areas in optimizing your website. Examples of AI-enabled SEO automation software include tools such as Surfer SEO, Clearscope, Frase.io to name a few. These tools can automate many time-consuming tasks traditionally performed by SEO staff (manual keyword research analysis, competitive research, meta-tag generation) that now can be performed in minutes, as opposed to weeks in the past.

Automating SEO also allows for the automatic analysis of the top ten/100 search results that have been submitted for the same keyword phrase, allowing for easy identification of patterns associated with the successful pages of that keyword phrase and creating content structure based on those patterns.

An example of additional forms of SEO automation is the generation of a fully optimized Title, Description and Heading for a web page, which incorporates LSI keywords, thus allowing a content creator to capture an expanded number of opportunities related to that content.

Another example is grouping multiple variations of the same query together. By doing this, it allows for the expanded opportunity of reaching a larger number of individuals without increasing the costs associated with that effort. According to a study by BrightEdge, approximately 68% of all web traffic referred to websites is organic traffic. Therefore, if you're not performing any form of SEO for your website, you are missing out on potentially millions of free clients.

Examples of AI Tools for Generating Optimized SEO Content: Surfer SEO, Clearscope, Frase.io, are three of the most popular tools in the market today for generating SEO-optimized content. Some AI engines, such as OpenAI GPT-4, have been able to generate many of the same optimized content pieces as human writers, but when it comes to generating optimized content based off publicly available data, OpenAI GPT-4 is still not an ideal solution. ASCN.AI has developed an AI-powered crypto assistant that provides unique content in real-time by utilizing Web3 Data. It is being utilized by one client to generate analytical DeFi articles. This has resulted in an increase of 340% organic traffic within three months.

Using AI for Personalized User Experience (UX)

Using AI, the User's interface and content are personalized to create a more powerful connection and increased conversions.

• Dynamic recommendations based on action taken, such as browsing history or product views.
• Adaptive interface that adapts to where content is displayed on the device or time of day.
• When user activity changes, AI can detect intent and provide offers such as discounts, reviews, or bonuses.
• Natural Language Processor (NLP) technology is utilized in Chatbots, which provide answers to questions in a manner that is not canned.

According to Juniper Research, by 2026 businesses will achieve an estimated $11 Billion in Efficiency Gains from such technologies.

An example of this would be Amazon's use of personalized recommendations, which have accounted for 35% of their total sales; Netflix reports that 80% of their viewing is based on recommendations; Spotify has seen a 40% increase in subscriber engagement since implementing their recommendation systems; and Booking.com has seen significant increases in sales due to unique personalized offers.

At ASCN.AI, the technology allows crypto traders to receive up-to-the-minute notifications regarding their favorite tokens and news.

AI Analytics and Forecasting

By providing insights, AI offers access to extensive historical data.

• AI provides the capability to identify and segment audiences; provide multi-step attribution models, and perform anomaly analysis.
• Predicts Churn and LTV (Lifetime Value).
• The accurate prediction of demand for every single SKU.
• Develops quality optimized SEO content via NLP and generative techniques.

Additionally, AI is able to accelerate the creation of high-quality SEO content by Automating the Routinely Performed Tasks required for developing SEO content: the evaluation of sentiment in the content; extract themes; the generation of automatic summaries; and last, but not least, conducting a plagiarism or correctness check of the content.

This was comprised of tools such as GPT-4, Jasper.ai, Copy.ai, that have superior content generation capabilities. ASCN.AI's client uses an automatic analytical token review generator that produces ten independent and more thorough analyses than when done manually.

AI Performance Optimization

AI can be used to optimize page load speed by automatically compressing images, lazy-loading them, and pre-loading them based on a user's predicted behaviour. According to Google, for every second that the page load speed is delayed, the average conversion rate decreases by 7%.

Methods of AI Performance Optimisation — A Guide to the Best AI Tools for Website Performance Optimisation

When deciding which tool to use, the type of project should be considered. TensorFlow and Google AI are designed for custom solutions and complex models, while ASCN.AI is a great alternative for launching projects without coding that have access to unique crypto data. OpenAI can be used for all aspects of text generation.

Using Machine Learning and Data Analysis to Improve Efficiency

By using machine learning and analysing past marketing campaigns, it is possible to find patterns and create automation processes:

• Automatically launch and analyse A/B tests 5-10 times faster than manual methods.
• Decrease advertising bid costs and increase conversions by 20% without increasing total advertising budgets.
• Predict customer lifetime value (LTV) to budget for cost-effective acquisition.

Using AI technology, ASCN.AI will review the funding rates of the most popular cryptocurrencies to find anomalies, allowing traders to act quickly and profit from the anomalies.

Integrating AI into the Development and Marketing Processes

To effectively integrate AI into your marketing efforts, you'll want to consider several areas.

• A) Conduct a Process Audit: Determine which routine activities can be automated.
• B) Tool Selection: Begin with one area so as not to become overwhelmed.
• C) Pilot Launch: Test your process on a limited scale.
• D) Scaling: Expand the successful implementations company-wide.
• E) Team Training: Train all users on using the tools.
• F) ASCN.AI's Journey: We began automating crypto advertising and eventually created a no-code solution for our clients.

Recommendations for Implementing AI to Specialize Projects

• A) Establish Your AI Optimization project goals: Establishing your optimization project Goals is important. The goals you choose will drive the data you collect, your metrics, etc.
• B) Source Data: Determining your data sources is vital. You want to gather data on traffic, conversions, behaviors, campaign results, etc.
• C) Success Metrics: When you have identified your Source Data and have set your Project Goals, you should also determine how you will measure success. You should determine what metrics to use, i.e., Return on Investment (ROI), Cost Per Lead (CPL), conversion rate, task execution time, etc.
• D) Minimal Pilot Launch: A minimal Pilot Launch will allow you to test the waters before you commit time and resources to a larger Pilot Launch. For a minimal Pilot Launch, look to automate the creation of Meta Tags for 100 pages.
• E) Team Training: Train your team how to write good prompts and properly interpret AI results.
• F) Systematic Scaling: You should Growth Hack your results systematically, as Growth Hacking is a systematic and objective approach to building a business.
• G) Avoid Common Mistakes: Start with the most routine tasks and test results; do not use AI as a replacement for your team and do not expect miracles overnight; provide input data of good quality; do not automate chaos; do not overestimate the capabilities of universal models; and train your team how to utilize AI.

We at ASCN.AI have learned to grow cautiously through testing and incremental growth. As such, we advise other organizations to adopt the same approach.

Case Studies of Successful AI Optimization

Case Study 1: Profit During the Downturn of Falcon Finance

When Falcon Finance (FF) rapidly collapsed, our customer relied on our ASCN.AI AI assistant. They received a notification after a few hours, and they made $1,000!

Case #2: Arbitrage of the October 11 Flash Crash

During the overnight collapse of the crypto market, price differences between exchanges were up to 40%. Those with ASCN.AI were able to act quickly and make thousands of dollars.

Case #3: Automating Reporting for a Crypto Fund

By using automated data collection and document generation through ASCN.AI, this fund went from spending 40 hours on report production each month to only two hours.

How to Make Money with ASCN.AI Using AI Agents and No-Code Automation

AI Agents as Personal 24/7 Analysts

At ASCN.AI, we provide you with 24/7 monitoring and analysis of market conditions, plus look for any arbitrage opportunities. We look for price differences between different exchanges—generally ranging from 2% – 40%—making them instant profit picks.

We analyze and provide insight on tokenomics, the development team behind the token, the risks associated with it, and sentiment towards it. Therefore, we help you make informed decisions based upon your own calculations.

We keep track of funding rates; that alone helps you trade safely and profitably.

SAVE TIME, Monetize Your Skill with ASCN.AI's No-Code Automation

Create your own personalized workflows with monitoring and recommendation automation for profitable subscription sales. Additionally, you can also create trading automation with your exchanges and generate and qualify leads for your business without going through all of the monotonous tasks that come with finding clients.

The point is that ASCN.AI saves you time. For example, the time you would have spent monitoring for three hours now only takes about 15 minutes, and the time saved is equal to money saved.

FAQS ABOUT PROJECT AI OPTIMIZATION

Will AI Replace Humans in Marketing and SEO? AI will take over repetitious tasks and provide increased efficiency to the specialist. AI does not have the creativity, strategic thinking or contextual understanding of human beings, therefore it cannot replace them.

Can I use ChatGPT for SEO on my Crypto Website? Yes, you can use ChatGPT for your crypto SEO project, but you will hit a wall with the results produced. Cryptocurrencies require a specialized model using exclusive Web3 data to obtain accurate results. ASCN.AI is a model that uses the data generated from Web3, as an example.

How long does AI optimization implementation take? AI optimization may take 10 minutes, like simple automation, to 3 months in some cases to fully integrate into a business. Start with a simple project and build incrementally.

What are the Risks of Using AI? The most common risks of AI are generating false information, known as hallucinatory data, and not having the specific business information. Always verify important facts on your projects.

How can I measure my ROI from AI Optimization? You can use the formulas of return on investment to measure your success. You will collect some key metrics that compare key metrics from your project, such as the reduction in costs per lead and, hopefully, the increase in the number of conversions.

Can I Make Money with ASCN.AI, if I Have No Crypto Experience? Yes! There are scenarios and workflows available for you to use. ASCN.AI has training and full support for users that don't have previous knowledge in crypto investment.

What Data is Used for the ASCN.AI Platform? The data used in the ASCN.AI system has been generated by Ethereum and Solana nodes as well as from several crypto funds, Twitter, Telegram, CoinDesk and other exchanges.

Conclusion – Future Trends of AI Project Optimization

As more and more businesses continue to utilize the advantages of AI optimization, it has moved from just a means to an end, to a necessity in order to continue to grow, compete and survive. According to Gartner's 2026 Conference, AI will provide assistance in 80 percent of marketing decisions.

What Are the Trends for the Future?

• Real-time hyper-personalized content and interface development.
• Moving from retrospective analytics to predictability.
• Increasing accessibility of No-Code platforms for anyone to automate AI functionality.
• Greater reliance on specialized AI Models for specific niche tasks.
• Use of AI across all aspects of business – from hiring and recruitment to supply chain and logistics management.

Startup Tips — Start Small

• Select the most routine task of your company.
• Assist your team in learning how to work with AI.
• Don't wait for perfection. Start Small and test to scale.
• Ensure that you have clean and accurate data prior to starting any AI project.
• Use the most accurate Specialized AI Model for your specific tasks.

ASCN.AI offers a combination of specialized AI Tools and No-Code Automation to allow you to incorporate AI into your projects without millions of dollars in investment.