The GEO/AEO specialists behind CiteSurge.
CiteSurge measures how major AI systems describe a brand, identifies what should change, and turns the findings into specialist strategy, implementation support, and continuing measurement.
CiteSurge is a specialist GEO/AEO company. It measures how brands appear in AI answers, finds the cause of weak results, supports the work needed to improve them, and measures again.
Why CiteSurge exists
Buyers use AI systems to research companies, compare options, and form shortlists. Most visibility tools stop at the report. CiteSurge connects what AI says to the pages, public coverage, and technical work that can change what buyers and AI systems find.
- Work
- AI visibility measurement, brand and source correction, content strategy, implementation support, and later measurement.
- Evidence
- Questions, answers, AI systems, markets, dates, mentions, citations, source details, and explicit data gaps.
- Delivery
- Specialist services supported by four connected technical capabilities.
Review specialist services and the four supporting capabilities.
Who operates CiteSurge?
Brainjuice Labs LDA owns and operates CiteSurge. CiteSurge is a product, not a separately represented legal entity. The operator's published contact address is:
Brainjuice Labs LDA (CiteSurge)Startup Madeira – EV 297
Campus da Penteada
9020-105 Funchal – Madeira
Portugal
Mark Laursen is CiteSurge's Co-Founder & Product Lead and an author of its published AI visibility research.
Martin Lange is a Senior Software Engineer at CiteSurge, specializing in security.
What does CiteSurge publish?
CiteSurge publishes sourced research, a dated 20-vendor comparison, named authorship, a public methodology, and correction standards. Client outcomes are published only when the baseline, work, later measurement, limitations, attribution, and permission are complete.
Review the editorial and research standards, decision-focused comparison, or the complete 20-vendor source record.
Research and innovation
CiteSurge conducts applied AI research into how answer systems identify, represent and cite organisations. We develop and test methods for measuring those observations more reliably, helping businesses understand how they appear in AI answers and identify improvements to their online information.
This research aligns with UN Sustainable Development Goal 9: Industry, Innovation and Infrastructure, particularly target 9.5 on research and technological capability.
We also aim to support Goal 8: Decent Work and Economic Growth, particularly target 8.2 on productivity through innovation, by developing tools designed to reduce repetitive analysis and help teams prioritise their work.
Some of our applied AI research is also consistent with selected objectives of the EU Digital Decade 2030, particularly the digital transformation of businesses and research focused on measuring the impact of digital technologies.