
David Vesterlund
CEO at IncRev and Independet Researcher in SEO and Applied Mathematics
Education
Undergraduate studies at University of Linköping in Mathematics, Computer Science and Economics. Acquired license from Swedish Financial Authority for investment advisory with yearly updates in portfolio theory and general economics for 5 years.
Independent Researcher in SEO and AI Search with main focus on using Mathematical Modeling, Graph Theory and Machine Learning to understand how vectorization and search algorithms impact real client websites.
Extensive research and mathematical modeling on Seed Sites and TrustRank to understand how trust flows and gets distributed in the link graph from Googles “trusted sources”. Also how many seed sites is needed per country for Google to find new websites, crawl and index the web in a cost effective way on a global scale.
Running the IncRev SEO Research Community on Zenodo (https://zenodo.org/communities/increvseo)
Personal research profile at Academia: https://independent.academia.edu/DavidVesterlund
About me
I started IncRev in 2018 after 10 years in the finance industry as an independent financial advisor, stock broker and institutional sales.
I have been the Chief Product Officer for several years and also part of the IncRev SEO Analysis team. Over the last 7 years I have been researching and advising clients on Link Building and SEO related questions in 40 markets and almost every high competitive business sector. I have helped clients go from 0 to €15M in turnover on a few years and scaling their online presence to multiple markets. I have helped national news media secure their migration to new websites, solving critical technical problems in on the way.
On my spare time I hang out with my wife and my two kids, I train at the gym and I´m running a project where I use machine learning models to predict new large prime numbers (called Proth Primes).
The largest prime number known is called a “Mersenne number”, its 2^(136,279,841) – 1 and its 41 million digits long. My dream is that, some day, one of my models will predict new 100 million digits long prime numbers.
Latest from David
TrustRank and Seed Sites: Modeling Backlink Value for Web Trust Propagation in a Google-Like Ranking System
17 November 2025
LLM Manipulation and the Future of AI SEO: Research, Risks, and Responsible Optimization
17 November 2025
Query Match: How We Measure Topical Authority So Links and Content Make Sense to Google (and AI)
11 November 2025
Semantic Vectorization for SEO: How to Optimize Content without Keyword Stuffing
11 November 2025
Link Building in Sweden vs. Global Markets: Why Local Expertise Matters
7 November 2025
How Close Are You to Google’s Seed Sites? The Hidden Factor Behind Fast Indexing
5 November 2025
Best backlinks for SEO – How Link Value Travels Across the Web — and Why Some Links Matter More
3 November 2025
