Start Here.
A short reading path to understand what this site is about, and where to start based on your job.
Mikhail Drozdov (casinokrisa)
Who this is for
- SEO practitioners who want clarity on indexing, authority, and AI surfaces.
- Marketers building AI-enabled systems (workflows, quality gates, distribution).
- Builders who want strategy and measurement that compound over time.
How to read
- Start with one pillar (the map).
- Pick 2 supporting essays for the exact problem you have.
- Come back weekly; this is built as clusters, not isolated posts.
Beginner paths.
If you want fast progress, follow one short path and then branch into the topic hub.
Indexing → visibility (core + symptoms)
Use the core model to locate the layer. Use the symptom pages when you need a fast entry point.
Pick a path
Choose a topic hub. Start with the pillar, then read 1–2 supporting essays.
For marketers: how to build AI workflows with quality gates (systems, not prompts).
For SEO operators: how indexing, interpretation, and AI surfaces changed what "visibility" means.
For builders: connect positioning, distribution, and measurement into a strategy that compounds.
For teams: build measurement that drives decisions and survives attribution limits.
Latest
New posts and updates.
- A documentation polish is not a crawl-algorithm launch
Google documented a 22 July 2026 crawl-budget guide polish with new public wording, but the published sources do not state a crawl-algorithm or ranking launch.
- GSC message glitch: how to triage false reporting alarms
A GSC message glitch implied impressions only just began reporting. Here's how to verify impact, avoid misreads, and instrument checks.
- Search Data Discrepancies: Mechanisms, Risks, and Actionable Checks
Divergent search data across tools is structural, not an error. Focus on actionable use, not forced alignment. Concrete plan for technical SEO teams.
The core essays
- Modern SEO in 2026: Visibility, Indexing, and Why Keywords Are Not the Unit
For SEO operators: how indexing, interpretation, and AI surfaces changed what "visibility" means.
- GSC Indexing Statuses Explained: What They Mean and How to Fix Them (2026)
A practical map of Google Search Console indexing statuses (Coverage): what each status means, the most common root causes (canonicals, duplicates, robots, redirects, soft 404s), and the fastest way to validate fixes.
- AI Orchestration for Marketing: Systems, Not Prompts
For marketers: how to build AI workflows with quality gates (systems, not prompts).
- Marketing Strategy as a System: Positioning, Measurement, and Compounding
For builders: connect positioning, distribution, and measurement into a strategy that compounds.
- Analytics as Decision Infrastructure: What to Measure, What to Ignore
For teams: build measurement that drives decisions and survives attribution limits.
- Platform Dynamics: Trust, Incentives, and Who Gets Seen
For creators: understand platform incentives, trust signals, and who gets seen (and why).
- Search Visibility in the Age of AI: Why SEO Is No Longer About Keywords
Rankings are a weak proxy for visibility. AI understands content through entities and context, not keyword matches. The future of SEO is interpretability, not optimization.
- AI Marketing Orchestration: How Real Implementation Differs from Presentations
How to build an honest AI marketing pipeline: from data and hypotheses to teams and quality control. What actually works versus what looks good in presentations.
- Data-Driven Marketing: Complete Guide
Most marketing teams collect data but ignore it. Here's how to actually use it to make decisions that move the needle.