Customer Stories / software-internet / Germany
2023

Ryte Uses AWS to Help Businesses Attract More Customers through Search Engine Optimization Insights
Working with AWS, Ryte—a Germany-based startup that helps businesses optimize their websites—quickly added new levels of automated intelligence and personalization to its services while streamlining development.
80%
faster feature development through streamlined processes
Reduced manual work
for customers through automatic notifications about Google Top 10 Tests
Machine Learning on AWS
Improved ability
for customers to plan strategies and budgets
Overview
Attracting new customers and doing business online means constantly fine-tuning your website—making sure it shows up near the top of search engine results, loads fast, and delivers a good website user experience. It also helps if you can identify web traffic trends and adapt your site proactively. Doing all of this is a lot easier with automation and intelligent software.

That’s what Germany-based startup Ryte, founded in 2012, specializes in. Its website user experience platform is built on AWS and helps more than 2,000 business customers around the world optimize their websites with its software products. The platform focuses on six optimization pillars: search engine optimization, quality assurance, web performance, sustainability, accessibility, and compliance. For business users, the result is better search results, 25 percent quicker site loading times, and faster identification of problems—such as large file sizes and server timeouts—that could drive away customers. Ryte’s new data layering of analytics and Google Search Console with website analysis results provides the insights that digital marketers need for their decision making.
Using AWS, Ryte has added new levels of automated intelligence to its services. These features make it easier for its customers to anticipate and act on changes that could affect their websites’ search engine rankings and online business success.

AWS is easy to work with. These topics can be heavy and technical, but all the people who worked with us knew what they were talking about. I always had the feeling that we had common goals and were trying to solve things together.”
Dr. Kilian Semmelmann,
Vice President of Data, Ryte
Personalization and Insights for Better Search Results
Today, businesses that use Ryte are automatically notified when Google tests their content for top rankings, so they can fine-tune content to appear higher up in search results. With the help of AWS machine learning (ML), they also receive personalized predictions of what their future web traffic will look like, helping them to more efficiently plan for growth.
A long-time user of AWS, Ryte in 2021 was looking for help with two projects. The first project aimed to help customers improve their page rankings in Google searches, because research shows that most people who search for a business on Google will click only the top few results and rarely go to the second page of results. So Ryte wanted a way to automatically notify customers when Google was checking one of their web pages to determine its ranking for different search terms—a process called the Google Top 10 Test. Knowing this, a business can act quickly to optimize that web page, increasing its chances of earning a coveted spot in the search engine’s first 10 results.
The second project aimed to use ML to personalize Ryte’s automated insights for every customer. This was important because Ryte’s customers range from small websites to large ecommerce and brand sites for global enterprises. “There’s a huge variety in the types of websites we serve, so we need this personalized machine learning approach,” says Dr Kilian Semmelmann, vice president of data at Ryte. “And that can be solved only if you take into consideration the context, how data gets produced, and the types of intent and uses on these websites. That’s why there’s a need for a highly scalable and replicable machine learning model deployment.”
Ryte now uses Amazon SageMaker to build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows. And it provides customers with automatic notifications about Google activity by using AWS Glue to discover, prepare, and integrate data at any scale. It brought both projects to life quickly with the help of two week-long remote laboratory sessions with AWS. These labs helped Ryte’s data science and technology teams develop a new way of working that significantly speeds up the design, testing, and rollout of services.
80% Faster Development of New Features
During the labs—one an AWS Data Lab and one a lab focused on ML for software as a service (SaaS) programs—Ryte’s teams worked closely with AWS experts to develop proofs of concept for both projects using iterative design and testing sprints. As a result, Ryte was able to streamline and improve its development processes. Now, instead of having to rely on the technology team to write code in the early stages of a project, the company’s data scientists can develop prototypes themselves, while the technology team remains responsible for integrating the results into Ryte’s service platform.
This new way of working has produced big benefits. “There’s a huge advantage in terms of speed,” Semmelmann says, noting that data projects that previously took months are now completed within weeks. “It’s up to 80 percent faster than before. Now, the data team can produce a prototype and we have our own pipelines so we can test without having the tech team involved up to that point. Then we can go to the tech team and say, ‘OK, this has been tested. Now let’s focus on integrating the tool.’”
Building on the outcome of the AWS labs, Ryte completed the proofs of concept for the ML and Google Top 10 Test projects and went live in a matter of weeks.
And the feedback from customers? “They love it,” Semmelmann says of the new Google feature, which saves users hours of work they once had to spend manually looking through keywords to detect pages being tested by Google. The same is true for the ML capabilities, which are helping customers improve their website strategies and budgeting. “They can plan more efficiently,” says Semmelmann.
Change is a constant in the world of website optimization, so Ryte is exploring other AWS labs and services as its needs evolve. “AWS is easy to work with,” Semmelmann says. “These topics can be heavy and technical, but all the people who worked with us knew what they were talking about. That’s something I really appreciate. I always had the feeling that we had common goals and were trying to solve things together.”
About Company
Germany-based startup Ryte, founded in 2012, built a platform that helps more than 2,000 businesses around the world optimize their websites with software products to improve search results, speed up site performance, and identify other problems that could drive away customers.
AWS Services Used
Amazon S3
Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance.
Amazon SageMaker
Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices.
Learn more »
AWS Glue
AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. Data integration engine options Event-driven ETL AWS Glue Data Catalog No-code ETL jobs Manage and monitor data quality Data preparation
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