
Alice Labs builds AI-powered SEO engines: from entity-driven research and topic architecture to content production, technical excellence, and AI Overviews optimization. We deliver traffic that converts—not vanity metrics. Proven: +2,092% clicks, 54,400 clicks/month, and top-3 rankings for competitive terms.
An experienced team with broad AI and tech backgrounds from leading companies

Linus
Co-founder & AI Consultant

Alice
CEO & Co-founder

Jens
AI Consultant

Eric
Co-founder & AI Consultant

Lisa
Project Lead & Implementation
Verified outcomes from completed AI implementations
Ljusgårda (Supernormal Greens)
Public Sector
Media Company
AI SEO is the practice of integrating artificial intelligence into every stage of search engine optimization—from research and strategy to content production and technical implementation. It's not about replacing human expertise but amplifying it: AI handles data processing, pattern recognition, and scale while humans provide editorial judgment, original insight, and quality assurance.
A modern AI SEO strategy goes beyond traditional keyword optimization. It includes entity-driven topic architecture, semantic content clusters, AI-assisted content production with E-E-A-T quality standards, and optimization for AI Overviews and LLM citations (LLMO). The goal: build topical authority that drives both search rankings and AI model recommendations.
At Alice Labs, we combine AI tools with deep SEO expertise to build content engines that deliver measurable business results. Our case studies include +2,092% click growth, 54,400 monthly clicks for Ljusgårda, and consistent top-3 rankings for competitive commercial terms.
From strategy and research to content and technical excellence
Entity graph, intent clusters, internal linking plan—builds topical authority and long-term rankings.
Keywords, questions, SERP gaps, PAA—identifies exactly what your customers search and competitors miss.
Briefs, outlines, AI drafts, human editing (E-E-A-T)—content that ranks and converts.
Log analysis, schema, CWV, indexation—technical foundation for faster indexing and better UX.
Q&A blocks, definitions, citable structure—optimized to be cited by Google AI Overviews and LLMs.
AI-powered linking graph, site structure optimization, and topical cluster architecture.
Multi-market SEO with hreflang, local clusters, and region-specific content strategies.
Dashboards tracking traffic → leads → revenue. Experiments, A/B tests, and continuous optimization.
"We decided early on to embrace AI technology and needed a partner who could explore opportunities, propose solutions, lead change management, and build them. With Alice, we got everything in one place and have implemented multiple solutions that increased efficiency so significantly that an entire team could be reallocated."
Andreas Wilhelmsson
CEO & Co-founder
Supernormal Greens / Ljusgårda
"Alice Labs' AI training gave us all a real aha-moment, whether we were completely new to the field or experienced! The training contained a perfect balance between theory and practice. We have definitely become more efficient at work!"
Åsa Nordin
IT Manager
Trollhättan Energi
"The collaboration with Alice Labs has been easy, educational, and incredibly supportive. We engaged them to improve our processes and create more efficiency in the team, and the result truly exceeded expectations. Through their guidance, we've gained better structure, faster workflows, and more time for what actually creates results."
Frida
Partner Manager
Bruce Studios
"Fast, professional, and wonderful people. Find out for yourself <3"
Johannes Hansen
Founder
Johannes Hansen AB
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