Google's new graph model: the death of PBN and link spam
In the summer of 2025, Google quietly rolled out one of the most powerful antispam engine updates in the last 5 years - Graph Foundation Model. According to official statements from search engineers, the effectiveness of detecting structural link spam (PBN networks, junk runs and stock exchange links) has increased to incredible levels. 40 times.
This is a fundamental game changer for SEOs. Let's look at the mechanics of the new model and why classic link building no longer works.
What is the Graph Foundation Model?
Before this update, Google analyzed links primarily at the linear level: who referred, what anchor, what trust does the donor have?.
New Graph-based Foundation Model built on infrastructure Google Vertex AI, works differently. She doesn't look at the individual link. It analyzes the entire “web graph” - a colossal three-dimensional matrix, where each site (domain), page (URL) and entity (entity) act as nodes (Nodes), and the links between them are edges (Edges).
How AI sees spam networks:
Graph Neural Networks machine learning algorithms focus on searching anomalous topologies:
- Isolated clusters: A group of 50 sites (a typical Private Blog Network) actively links to each other or to one “many site”, but does not have incoming natural links from the wider Internet (from Wikipedia, major media, social networks).
- Unnatural Velocity: Abrupt appearance of edges between previously unconnected graphs.
- Common Owner Patterns: The model compares IP subnets, Whois history, layout patterns (the same WordPress templates for the donor network) and profiles of content authors.
As a result, Google has learned to "collapse" entire PBN grids with a single formula, simply devaluing all link juice within an isolated graph cluster.
What has changed for SEO in practice?
1. Link exchanges have lost their meaning
Purchasing “eternal links” on Miralinks or GoGetLinks is working worse and worse. The graph model easily calculates a donor site that systematically sells links based on one characteristic: its outgoing edges (links) lead to completely unrelated graph nodes (today to a casino, tomorrow to plastic windows, the day after tomorrow to cryptocurrency). Links from such donors receive a weight of zero.
2. Tier 2 / Tier 3 runs have become toxic
Multi-level link building (multi-storey links), where “garbage” was driven by a hacker to the second level to strengthen the first link, is now hitting the main site. The graph model traces these chains to the very bottom and can impose sanctions (SpamBrain Penalty).
3. International spam is becoming pessimistic
Previously, Indians and Pakistanis actively spammed English-language Google through drop domains in other zones. Now the model also evaluates the geographic graph. If a local car service website from Moscow suddenly receives 1000 links from Chinese forums .cn — the algorithm cancels them in a split second.
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Survival Strategy: White Link Building 2025
Website promotion now requires a transition from “buying” links to “earning” them (Link Earning):
- Digital PR and Outreach: Placement of expert columns in real specialized media (Forbes, VC, Cossa, Habr). Such links in the graph have maximum weight, since they come from super-trust nodes.
- Linkbaits: Creating self-referential content (calculators, infographics, large-scale market research).
- Crowd marketing (expert): Живые ответы от представителей бренда на форумах и Q&A сервисах (Reddit, Toster, Ответы@Mail.ru), приносящие реальный реферальный трафик, а не просто SEO-ссылку.
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Summary
Google's new graph model kills "SEO for the lazy." Inflating the link bubble with budgets no longer brings ROI - it brings the risk of manual or algorithmic sanctions.
Content department and SEO engineers NBM-IT work exclusively using White-Hat SEO methods. We design content strategies and implement Digital PR, which builds organic brand authority in the eyes of any search algorithms. Sign up for an audit of your link profile.