Alice Labs helps businesses get cited by AI search engines—Google AI Overviews, ChatGPT, Perplexity, and Microsoft Copilot. Our GEO (Generative Engine Optimization) and LLMO (Large Language Model Optimization) strategies build entity authority, structure content for machine readability, and ensure your brand is recommended when AI answers questions in your domain.
AI search optimisation (also called LLMO or GEO) is the discipline of ranking content inside answers from ChatGPT, Perplexity, Gemini and Google AI Overviews. It combines structured data, citation-friendly content design, entity SEO and traditional SEO foundations to capture traffic that bypasses the classic blue-link search results.
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
Same engagement, sharply different outcomes per role
The pain: Your traditional SEO traffic is dropping as AI Overviews answer queries directly — and you have no visibility in LLM responses.
What you get: A measurable position in LLM answers across your priority topics, with ongoing citation tracking.
The pain: Your SEO playbook is optimised for blue links, but you need to add LLMO without losing existing organic traffic.
What you get: An integrated SEO + LLMO programme that grows both classical organic and AI-citation traffic.
The pain: Your content team produces great work that classical SEO loved — but it is invisible in LLM answers.
What you get: Content frameworks designed for dual ranking with measurable citation lift inside 90 days.
The pain: Your competitors are starting to be named by ChatGPT and Perplexity for queries in your space — and you are not.
What you get: Brand-level LLMO programme that establishes your authority across the LLM citation graph.
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AI Search Optimization encompasses two disciplines: GEO (Generative Engine Optimization)—optimizing for AI-powered search results like Google AI Overviews—and LLMO (Large Language Model Optimization)—ensuring your brand is recognized, cited, and recommended by AI models like ChatGPT, Perplexity, and Claude.
As AI search market share grows (projected 30%+ of search interactions by 2027), brands that invest early in AI visibility gain compounding advantages. The principles are different from traditional SEO: entity authority over keyword density, machine-readable structure over human-only formatting, and citable claims over vague marketing language.
At Alice Labs, we combine deep SEO expertise with AI-native strategies to build your brand's AI search presence. We don't just optimize for today's AI search—we build the entity foundation that ensures your brand is cited as AI systems evolve.
Full-stack AI search visibility: from entity building to citation tracking
Structure content for Google AI Overviews inclusion: definitions, Q&A blocks, schema markup, and citation-ready formatting.
Build brand authority in LLM knowledge bases through entity optimization, authoritative content, and retrieval-ready structuring.
Map and strengthen your brand's entity graph: people, products, concepts, and relationships that AI systems use to understand and recommend you.
Comprehensive JSON-LD implementation: Organization, FAQPage, Service, HowTo, and custom schemas that AI crawlers prioritize.
Track how AI systems mention your brand: citation rates, context quality, competitor comparison, and trend analysis.
Transform existing content into AI-readable format: clear definitions, citable claims, sourced statistics, and semantic structure.
Optimize for how people ask AI: natural language queries, follow-up patterns, and intent chains that drive AI recommendations.
Dashboards tracking AI referral traffic, citation frequency, entity authority scores, and competitive positioning.
Both matter. Here's how they differ and work together.
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 search visibility
AI Search Optimization, also known as Generative Engine Optimization (GEO), is the practice of structuring your content so that AI-powered search engines—Google AI Overviews, ChatGPT, Perplexity, and others—cite, recommend, and surface your brand. Unlike traditional SEO which optimizes for blue links, GEO optimizes for AI-generated answers, citations, and recommendations.
LLMO is the strategy of making your brand, products, and content recognizable and citable by large language models (LLMs) like GPT, Gemini, and Claude. It involves entity definition, structured data, authoritative content creation, and ensuring your information appears in training data and real-time retrieval systems (RAG). LLMO is a superset of GEO—it covers all AI systems, not just search.
Google AI Overviews use AI to synthesize answers from multiple sources and present them at the top of search results. To be cited, your content needs: clear definitions, structured Q&A blocks, authoritative E-E-A-T signals, proper schema markup, and entity-rich content that directly answers user questions. Alice Labs optimizes content specifically for AI Overview inclusion.
Traditional SEO optimizes for ranking blue links on page one. AI Search optimization focuses on being cited in AI-generated answers. The key differences: 1) Content must be machine-readable and semantically structured. 2) Entity relationships matter more than keyword density. 3) Authoritativeness and source credibility drive citations. 4) Structured data and schema markup are critical for AI comprehension.
Yes. We optimize for all major AI search platforms including ChatGPT (with web browsing), Perplexity, Google AI Overviews, Microsoft Copilot, and Claude. Each platform has different retrieval mechanisms, but the core principles are the same: authoritative content, clear entity definitions, structured data, and citable claims with sources.
Results depend on your starting point and industry. Typical outcomes include: increased brand mentions in AI-generated answers, higher citation rates in AI Overviews (we track this), improved organic visibility as AI search grows, and stronger brand authority signals. Early movers gain disproportionate advantages as AI search market share increases.
We use proprietary monitoring to track: AI Overview inclusion rates, brand mention frequency in LLM responses, citation quality and context, competitor citation comparison, and the traffic impact of AI search referrals. We also monitor your entity graph strength and structured data completeness.
An entity graph is a connected network of concepts, people, products, and relationships that AI systems use to understand your brand. A strong entity graph means AI models know who you are, what you do, and when to recommend you. We build entity graphs through structured data, consistent content, authoritative backlinks, and knowledge base optimization.
Absolutely. AI Search and traditional SEO are complementary, not competing. Traditional SEO builds the foundation—domain authority, content depth, technical excellence—that AI systems rely on for citations. We recommend a combined strategy: traditional SEO for the base, GEO/LLMO for the emerging AI search layer. The best-positioned brands invest in both.
Start with an AI Search Audit (1-2 weeks) where we analyze your current AI visibility, map your entity graph, audit your structured data, and benchmark against competitors. We then create a prioritized roadmap: quick wins (schema, content restructuring) and strategic initiatives (entity building, authority content). No long-term contracts required.
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