Agentic AI Optimization (AAIO): Technical Implications for SEO Engineers
AAIO expands optimization to include AI agents as consumers. This alters site design, crawlability, and ranking signals. Direct checks and measurement strategies included.
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.
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.
A controlled SEO test shows that Google and AI Overviews can surface misinformation with minimal effort, raising questions about current ranking and filtering robustness.
Googlebot crawling 404s signals crawl budget isn't maxed out. This behavior can be leveraged for faster discovery and indexing of new or improved content.
Log file data exposes crawl and bot behaviors missed by standard SEO tools. Use it to verify crawl waste, detect technical blockers, and optimize crawl budget.

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.
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