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 (1→2→3)
If you want fast progress, follow one short path and then branch into the topic hub.
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.
- Domain Authority is not a Google metric: why score-chasing backfires
DA/DR-style scores feel like control, but they are not what Google optimizes. This essay explains why “domain score” becomes metric theater, how it quietly pushes teams into the wrong work, and when these scores are still useful as rough proxies.
- How to get a Knowledge Panel for a person (without hacks): the system model
A Knowledge Panel is not something you "request". It appears when Google is confident it can resolve a stable person entity and connect it to corroborating sources. This guide explains the decision model (identity -> disambiguation -> corroboration -> persistence) and the few changes that actually increase certainty.
- Indexing is not visibility: why Google stores pages it never intends to show
In 2026, 'indexed' is an internal bookkeeping state, not a promise of traffic. This essay explains the missing layer between indexing and visibility: retrieval and outcome certainty. If your page gets crawled, even indexed, and still disappears, the system is not confused - it is being conservative.
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.