How to use the latest science to improve your SEO in Gloucestershire PT2.

When it comes to successful data science for SEO, nothing is more important than having the right team in place. As a fully qualified Member of the Institute of Science and Technology Simon Dye MIScT – our MD has a few ideas how to use the latest technology for your business.

Part 1 of my post- can be found here: SEO Data Science in Gloucestershire

3. The Data Science SEO Task Force

One of the best examples is a football team – each member of a team has a specific role and as a result they succeed brilliantly in each of their collective missions.

For example a team of 11 goalkeepers or 11 centre forwards may keep the score down- or not, but their ability to actually win matches will be pretty limited.

Thus what might your AI/ML data science SEO task force look like?

You will surely need an SEO expert working closely with a data scientist and a developer. Together, this team will run the project, prepare the data, and use the machine learning algorithms.

The SEO expert is best positioned to double as a project manager and handle communication with management and external stakeholders. (In larger companies, there may be dedicated roles for the team’s manager and project leader.)

Here are several examples of projects that this type of team might be responsible for:

• Setting up an enterprise data warehouse (an out-of-the-box data warehouse that merges business, market share-of-voice, technical, and content data).
• Identification and resolution of “zombie” pages.
• Detection of new queries.
• Forecasting of traffic/profits following certain actions.

Of course, teams need tools to maximise their efforts. This brings us to the idea of data SEO-compliant software.

I believe there are three principles to adhere to carefully here in order to avoid using black-box tools that give you results without explaining their methodologies and algorithms.

1. Access to documentation that clearly explains the algorithms and parameters of the machine learning model.

2. The ability to reproduce the results yourself on a separate dataset to validate the methodology. This doesn’t mean copying software: all the challenges are in the performance, security, reliability, and industrialization of machine learning models, not in the model or the methodology itself.

3. The tool must have followed a scientific approach by communicating the context, the objectives, the methods tested, and the final results.

Data SEO is a scientific approach to optimizing for search that relies on data analysis and the use of data science to make decisions.

Whatever your budget, it is possible to implement data science methods. The current trend is that concepts used by data scientists are becoming increasingly accessible to anyone interested in the SEO field.

If you want your organisation to make the most of the latest technology to make you more leads and sales by improving your online business and online digital marketing and sales conversions, please contact us NOW or ring us on now on 01242 521967 to see how we can help you to make money as well!