GEO Strategies for AI Search: Tactical Visibility in 2026 SERPs
Breakdown of practical GEO tactics to increase brand recommendations by AI search engines, with falsifiable checks and retrieval-focused metrics.
AI Search & Indexing Systems Researcher · Indexing-first visibility models · Founder of Casinokrisa
This site is a research journal on how search systems crawl, index, interpret, and decide what gets shown. The focus is not “SEO tactics”, but trust distribution: why some sources become default outcomes and others stay stored-but-unused.
Indexing-first models for visibility: storage → retrieval → selection.
The site is written as clusters (pillars + supporting essays). This “reading path” is designed to turn a social click into a clear next step.
For SEO operators: how indexing, interpretation, and AI surfaces changed what "visibility" means.
For marketers: how to build AI workflows with quality gates (systems, not prompts).
For builders: connect positioning, distribution, and measurement into a strategy that compounds.
For teams: build measurement that drives decisions and survives attribution limits.
For creators: understand platform incentives, trust signals, and who gets seen (and why).
Latest posts. Full archive is below.
Breakdown of practical GEO tactics to increase brand recommendations by AI search engines, with falsifiable checks and retrieval-focused metrics.
SEJ argues rankings no longer persuade executives; SEO advantage shifts to operators who link SEO to marketing outcomes (Four Ps).
Actionable, testable strategies for SEO teams to adapt to AI-driven search in 2026. Focus: entity alignment, signal diversity, and retrieval optimization.
AAIO expands optimization to include AI agents as consumers. This alters site design, crawlability, and ranking signals. Direct checks and measurement strategies included.
AI tools can automate repetitive SEO tasks, but require human oversight to ensure quality and accuracy. Evaluate with targeted metrics.

Mikhail Drozdov is an AI Search & Indexing Systems Researcher and founder of Casinokrisa. This site focuses on indexing-first visibility models, entity signals, trust distribution, and AI retrieval systems.
Mikhail Drozdov is the person. Casinokrisa is the platform.
Build AI-powered marketing systems. Learn to orchestrate AI tools, automate workflows, and make data-driven decisions.
Master modern SEO: from pages to entities, AI overviews to topic authority. Build visibility that survives algorithm updates.
Connect analytics, strategy, and execution. Build marketing systems that grow through accumulated context, not optimization tactics.
View all 47 articles →Build data pipelines that connect metrics to decisions. Measure what matters: LTV, ROMI, and systems-level performance.
View all 23 articles →Short “get oriented fast” essays. Useful if you’re new to funnels, analytics, or basic marketing terms.
Digital marketing explained simply: channels, funnels, measurement, and a beginner-friendly plan that avoids buzzwords.
A simple explanation of what a conversion funnel is, how to map it, and how to improve conversion without chasing vanity metrics.
Web analytics explained for beginners: what to track, how events work, and how to avoid the most common reporting mistakes.
A lightweight archive for crawlability and quick reference.