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.
AI SEO combines classical search engine optimisation with AI-driven content production and Large Language Model optimisation. The goal is dual ranking — Google blue links and ChatGPT/Perplexity citations — through AI-generated content optimised for both algorithms. Alice Labs' approach has produced +2,092% organic clicks in 90 days.
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
Production-grade AI delivery, EU-native, senior team
Verified outcomes from completed AI implementations
Ljusgårda (Supernormal Greens)
Public Sector
Media Company
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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.
Let's discuss your AI journey
Our team will help you prioritize use cases and build a concrete roadmap.
"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
Everything you need to know about AI-powered SEO
AI SEO is the practice of using artificial intelligence to enhance every stage of search engine optimization—from keyword research and content strategy to technical optimization and performance measurement. It combines AI-assisted research, AI-powered content production (with human quality control), entity-driven strategy, and intelligent automation to achieve better rankings, more traffic, and higher conversion rates faster than traditional SEO methods.
AI improves SEO in four key ways: 1) Research—AI analyzes millions of data points to identify keyword gaps, entity relationships, and content opportunities faster. 2) Content—AI assists with briefs, outlines, and drafts while humans ensure E-E-A-T quality. 3) Technical—AI-powered log analysis, internal linking optimization, and schema generation. 4) Scale—AI enables producing high-quality content at 5-10x the pace without sacrificing quality.
An AI-powered content strategy uses AI tools for research, topic clustering, content briefs, and production—combined with human editorial oversight. We build topic maps based on entity graphs, create content clusters targeting specific intents, and use AI to accelerate production while maintaining E-E-A-T standards. Every piece is fact-checked by domain experts before publishing.
Yes. AI Overviews and LLM citations are a core part of our strategy. We structure content for machine readability: clear definitions, Q&A blocks, structured data, entity-rich content, and citable claims with sources. This positions your content to be cited by Google AI Overviews, ChatGPT, Perplexity, and other AI tools—what we call LLMO (Large Language Model Optimization).
Results vary by starting point and industry, but typical outcomes: 3-10x traffic growth within 6-12 months, significant improvement in lead quality and conversion rates, and strong AI Overview citation rates. Our case studies show: +2,092% clicks for a media company, 54,400 clicks/month for Ljusgårda, and consistent top-3 rankings for competitive terms.
Traditional SEO relies heavily on manual research, one-at-a-time content creation, and periodic audits. AI SEO accelerates every step: automated keyword research at scale, entity-driven strategy (not just keywords), AI-assisted content production, programmatic internal linking, and real-time performance monitoring. The result: faster time-to-rank, higher content quality at scale, and better competitive intelligence.
Entity-driven SEO focuses on building topical authority through connected concepts rather than individual keywords. We map entity relationships (people, products, concepts, locations), create content that comprehensively covers topics, and build internal linking graphs that reinforce semantic connections. This approach signals expertise to both search engines and LLMs.
Yes. Our technical SEO covers: site architecture and crawlability, Core Web Vitals optimization, schema markup implementation, internal linking graph optimization, log file analysis, indexation management, and mobile performance. We use AI tools for log analysis and automated technical auditing.
We measure business KPIs, not vanity metrics. Our dashboards track: organic traffic → leads → pipeline → revenue. We also measure: keyword rankings (position tracking), click-through rates, content performance by cluster, AI Overview citations, and competitor gap analysis. Every engagement has clear ROI targets defined from day one.
Start with an SEO diagnosis (1-2 weeks) where we audit your current state, analyze competitors, and identify the highest-ROI opportunities. We then build a topic map, create a pilot cluster, and measure results before scaling. No long-term contracts—we prove value with results.
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