Leading the AI Search Revolution
We're a team of AI search specialists, former Google engineers, and content strategists dedicated to helping businesses thrive in the era of Google AI Mode and generative search.
Our Mission
Make AI visibility operational, not mysterious
As search experiences shift from links to answers, the new competitive edge is being correctly understood and cited. We translate AI retrieval and citation behavior into a practical system teams can implement and measure.
Visibility, not vanity metrics
Optimize for how AI systems select sources and attribute information - then connect those signals to pipeline and revenue.
Structure before scale
Build predictable information architecture, entity coverage, and schemas so your best content becomes the obvious choice to cite.
Measurement-first iteration
Track citations and answer coverage, identify failure modes, and iterate with an audit trail that stakeholders can trust.
How We Work
Principles that keep outcomes predictable
AI search changes quickly. A stable strategy depends on fundamentals: clear entities, verifiable claims, and content that stands up to scrutiny.
Evidence-backed claims
We prefer sources, measurements, and transparent methodology over hype - especially in sensitive categories.
Editorial clarity
AI systems reward content that is easy to parse. We engineer pages for scannability, structure, and direct answers.
Strategic internal linking
We connect services, tools, and research so both humans and AI can infer authority across related topics.
Continuous learning loop
Measure what AI cites today, update what it misunderstands, and ship improvements with clear baselines and reporting.
Our Journey
Built around the evolution of search
Generative search is not a single feature - it's a new interface layer. Our work tracks that shift and turns it into practices teams can run every week.
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2023: Foundation
Founded by former Google engineers focused on generative search optimization and semantic search technologies for the emerging AI-driven search landscape.
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Early 2024: Google AI Mode Research
Launched comprehensive research into Google's AI Mode ranking factors and citation optimization techniques, establishing early performance benchmarking for AI citations.
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Mid 2024: Enterprise Expansion
Expanded to serve larger teams with measurement-first AI visibility programs, reporting frameworks, and content engineering playbooks.
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Late 2024: Research Hub Launch
Opened our research repository with industry studies, frameworks, and templates to help teams operationalize AI search optimization.
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2025: Global Impact
Supporting organizations worldwide with strategy, implementation, and tooling for visibility in AI-driven search experiences.
Leadership
AI search experts and former practitioners
Our team blends hands-on search engineering, analytics, and strategy. We care about shipping changes that are measurable and defensible.
Alex Chen
Founder & CEO
Former Google Search Engineer with 8 years of experience in search algorithms and AI system development. Led the team that developed early AI Overview prototypes.
Sarah Rodriguez
Head of Strategy
Ex-McKinsey consultant specializing in digital transformation. 12+ years helping Fortune 500 companies navigate technological disruptions in search and content strategy.
Want a practical AI visibility plan?
Get a free consultation and a high-level audit of your current AI visibility. We'll explain what to fix first and how to measure progress.
FAQ
Common questions
Quick answers about our approach, measurement, and who we help.
What is AI search optimization (and how is it different from SEO)?
AI search optimization focuses on how AI systems interpret, retrieve, and cite information in generative answers. It complements SEO, but prioritizes clarity, structure, entity coverage, and citation likelihood rather than only rankings.
Who is AI Mode Hub built for?
We work with marketing leaders, growth teams, SEO and content strategists, and technical stakeholders who need measurable improvements in AI visibility - especially in competitive or regulated industries.
What do you measure to prove impact?
We track AI citations, share of voice in generative answers, topic-level coverage, and downstream outcomes (qualified traffic, leads, or pipeline) depending on your business model and analytics maturity.
Can you help if we publish in multiple languages?
Yes. Our approach supports multilingual content strategies, including content clustering, consistent entity models, and localization patterns that improve retrieval and citation across markets.