AI изменил ВСЕ – новое SEO уже здесь. Меняйся или сдохни!

Overview

The video is a candid discussion—mostly from the perspective of an SEO team operating in “high-risk” niches like iGaming/adult/crypto—about how Google’s AI features and automation are reshaping SEO. It also covers what this change means for strategy, budgets, and monetization.

Main arguments and analysis

1) SEO is being “eroded” by Google’s AI blocks

The speakers argue that Google increasingly answers user queries directly—especially informational and “question” queries—using AI modules. This reduces the amount of traffic that reaches normal websites.

They describe a “three-pillar” view of search traffic:

1. Conventional web search results (“SRCH”)
2. An AI-based search layer (“AI SRCH” / “GC”)
3. Map/local search results (Google Maps-based)

Key consequence: even when a site ranks, fewer users click through, because AI blocks provide the answer directly on the search results page.

2) AI will further shift behavior toward agents/assistants

The discussion predicts that within a few years, users may rely on phone assistants/agents to find things like “the nearest good dentistry” without actively searching and browsing.

As a result, SEO teams will need to “feed” both traditional ranking systems and AI retrieval systems with:

• the right structured content/metadata
• clear relevance signals

3) Local/map outcomes may become as important as classic SEO

Google Maps is presented as already doing AI-like localization and translation (e.g., finding the nearest services). The speakers suggest that map-based results can replace some traditional web-click behavior.

4) In their niche, they adapt by targeting traffic less dependent on organic clicks

Working heavily in iGaming/casino contexts, they claim that:

• traffic to sites is being squeezed
• teams increasingly rely on hybrid approaches

Examples of hybrid tactics include:

• CPA/RevShare adjustments
• brand-protection tactics
• tactical link/position strategies

They also emphasize a harsh operational reality in their vertical: old projects often keep growing, but new projects are frequently penalized or banned.

Monetization shift: RevShare → CPA / hybrid

Why they claim people are leaving RevShare

They cite volatility and scam risk:

• casinos may close after 1–2 years
• large holdings can use multi-registration/stacking, where players are auto-registered across many casinos, but the webmaster gets paid only for one placement

Because of these risks, they say webmasters increasingly prefer:

• CPA (pay per acquisition/deposit/lead), or
• hybrid models

Preferred geos

They say they mostly target Tier-1 locations and avoid “Africa” due to economics (e.g., higher registration but lower deposit performance). They also mention specific places where they still see workable deposit economics.

SEO execution realities (especially “how to succeed”)

Don’t assume “buy links fast = success”

They describe a common fatal mistake: assuming speed and link volume will produce instant rankings.

Instead, they recommend a more iterative process:

• start with multiple sites under a brand
• test which ones perform (“which sites will go well”)
• scale what works

Analytics and patience are essential

They stress that SEO takes time, experimentation, and measurement. They describe “shooting into the air” as launching without sufficient analytics/monitoring.

They also say AI can automate parts (content workflows, on-page tasks, link/anchor handling), but it can still make mistakes—so humans must supervise.

AI can help automate parts of the workflow

They claim AI improves:

• site setup/optimization processes
• faster workflow for juniors
• automation for tasks like collecting targets, forming anchor lists, and link-related operations

However, they emphasize AI doesn’t replace understanding; it can over-optimize or under-optimize and cause failures.

Risk/scale and operational constraints in iGaming SEO

Websites get banned frequently; scaling is costly

They say websites that previously cost a few hundred dollars are now produced far cheaper (in their story), allowing teams to launch in the thousands. But only a small fraction survive long enough to generate deposits—so “many sites die.”

They also mention:

• domain seizures by registrars
• market/regulatory disruptions

They track “success” as deposits reaching a threshold

They define “money sites” conceptually as sites reaching a deposit threshold (they cite ~5 deposits/month as an illustrative team standard).

They also describe:

• portfolio sizes in the thousands of sites
• high turnover

Brand-protection / traffic-capture tactics

They mention tactics such as:

• servicing dozens of casinos with a monthly fee to protect brand visibility/positions
• using affiliate-style routing and negotiation approaches to avoid disrupting partners’ main traffic

Concrete “top mistakes” they name at the end

1. Self-confidence / skipping fundamentals People stop learning and expect instant results.

2. Not doing analytics Launching and guessing instead of measuring rankings and outcomes.

3. Expecting quick scalable results without enough budget/time/testing Or treating SEO like a button-press (“three buttons” mentality).

Overall conclusion

• Google’s AI/search-answering features reduce traditional SEO effectiveness by producing fewer clicks and more direct answers.
• The market is becoming more volatile, especially in high-risk niches (scams, closures, registration tactics).
• Survival requires:
  • adapting to geo/local and AI-oriented outputs
  • shifting toward CPA/hybrid monetization
  • strong analytics and testing
  • AI-assisted operations with human control
  • cautious budgeting and realistic timelines

Presenters / contributors

• Sasha (speaker/host segment)
• Oleg Shestakov (mentioned as a training-course source; also referenced as an interview guest in discussion context)
• Andrey Bulov / Andrey Boylov (contributor; discussed SEO/link fundamentals; referenced via prior conversations)
• Nomad (referenced as a recording/podcast contributor)
• Oleg (referenced during course recommendations)