Mark Laursen,
co-founder & product lead.
Mark began working with computers on a TI-99 at age five, followed by the Commodore 64 and Amiga. He became a professional gaming world champion at 21, then spent more than 25 years building and shipping software, game technology, digital products, and applied R&D. As CiteSurge's Co-Founder & Product Lead, he writes research on generative engine optimization, AI visibility measurement, citability, and enterprise governance.
Profile updated
What experience informs Mark's work?
Before founding and leading technology companies, Mark competed professionally in games and became a world champion at 21. His subsequent work has spanned proprietary engines, production infrastructure, technical product leadership, and company building. Across that work, he has contributed to teams that created three distinct game engines, each of which reached production.
He has built Model Context Protocol integrations and AI tooling used in production studio workflows. At a game-technology company he founded and led, the technical team developed proprietary engine technology backed by ten US provisional patent applications and an international PCT application. One related US patent has since issued.
He has also served as an independent external expert on an EU-funded game-technology R&D initiative in Portugal that included an international research, knowledge-exchange, and mobility cooperation route involving Macao. His assessment reconciled project objectives, technical evidence, research outputs, and delivery records into a formal technical-scientific opinion.
His current work continues through Brainjuice Labs and Marathon Variety, where he builds and advises on AI infrastructure, production systems, game technology, tools, and emerging distribution platforms. That combination of technical, commercial, and production experience informs his work on how AI systems discover, describe, compare, and recommend companies and products.
What does the author role cover?
As the accountable named author for this research, Mark identifies sources, records review dates, separates evidence from CiteSurge interpretation, states limitations, and maintains a correction route. CiteSurge remains the publisher, and Brainjuice Labs LDA remains the legal operator.
His role connects the source record to the published analysis, so readers can see why a conclusion appears, where its evidence came from, and how to challenge or correct it.
Read the editorial and research standards→How is CiteSurge research reviewed?
His published method starts with identified public sources and a visible review date, then distinguishes what the evidence supports from CiteSurge's interpretation. Each Insight preserves its source list and limitations.
The comparison publishes its scoring rubric, evidence date, self-authorship disclosure, re-verification deadline, and correction route. CiteSurge does not manufacture statistics, authorship, reviews, or outcomes to strengthen a claim.
Work attributed to Mark.
The complete public authorship set represented by this profile, not a claim about unpublished work or outside recognition.
- 01The Agentic Internet Needs Proof, Not More Mentions→
- 02Agent Readiness Is Not AI Visibility→
- 03AI Is Changing Enterprise Technology Vendor Selection.→
- 04Claude Code and Codex Can Help With GEO. They Cannot Measure It Alone.→
- 05AI Mentions vs Citations: How to Measure AI Visibility→
- 06Enterprise GEO: Governance, Evidence, and Reporting→
- 07GEO and AEO: How AI Discovery Is Replacing Traditional Search→
- 08What Is Generative Engine Optimization (GEO)?→
- 0920 Best AI Visibility Tools for 2026: An Evidence-Led Enterprise Comparison→
Question the evidence. Keep the record accurate.
Readers can question a source, scope, date, or interpretation in Mark's published CiteSurge work. A useful request identifies the page, disputed statement, and supporting source. No private customer information is required.