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Is Google Search still “search” at all? At Google I/O 2026, Search VP Liz Reid said it plainly: “Google search is AI search.” That’s not a product update. That’s a declaration that the platform has fundamentally changed what it is and what it does.

When large language models (LLMs) edit documents, they make a specific kind of mistake that can be more dangerous than a hallucination. It’s subtle enough to pass a casual review, damaging enough to matter, and systematic enough to compound across multiple editing sessions. 

Most design tools are built for designers. That’s been the assumption for decades, and it’s created a bottleneck that marketers, product managers, and content teams know well: you have an idea, but getting it into a visual form means waiting on someone else’s schedule. 

After years of integrating AI writing tools directly into its product, LinkedIn is now fighting to contain the flood of low-quality AI-generated content those tools helped produce. The result is a content algorithm that is actively suppressing posts it identifies as “AI slop”: polished-sounding, generic, and hollow.

For two years, AI search performance has operated as a black box. Brands could see that AI Overviews were growing, that click-through rates were falling, and that something had changed in how Google surfaced content. But first-party data on what was actually happening inside AI features was not available.

Online reputation management (ORM) is the practice of monitoring and improving (when necessary) how your brand is perceived on the internet. In practice, this means responding to negative reviews, suppressing negative search results or comments, and addressing any misinformation about your company.