Search is shifting from ranking pages to ranking interpretations. That’s why I started a small signal hub focused on AI search, entity trust, and citability.
Something has changed in search.
Not just in rankings — but in how meaning itself is evaluated.
For years, SEO was largely mechanical:
keywords → pages → positions
But modern search systems are moving toward something else:
entities → trust → interpretation → visibility
Google is no longer simply ranking URLs.
It’s ranking its confidence in what a page means, who it belongs to, and whether it feels safe to surface, cite, or summarize.
This shift becomes even clearer in an AI-mediated search world, where citations and compressible knowledge matter more than raw blue links.
That’s why I started r/LMBDAsearch — a small experiment and signal hub for people tracking this transition.
A place to share:
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Core Update turbulence and ranking anomalies
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AI Overviews and citation behavior
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Entity clarity and trust signals
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Notebook-style LLM workflows
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Agentic interfaces (“AI that operates”)
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Real observations, not hype
Not a community for tricks.
A community for understanding how interpretation engines are reshaping the web.
If you’ve felt that search is becoming less about pages and more about meaning systems…
you’re not alone.
We’re mapping it together.
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