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- President Trump awards Big Tech donors with nation’s highest science prizes
- Natura’s $99 smart ring puts AI agents on your finger
- Robot data startup Mecka AI nabs $60M from Sequoia
- Email Marketing in the AI Era: Personalization & Deliverability
- Healthleap raises $38M for its AI that flags hospital patients who may need a closer look
- How to find out if Amazon thinks you have ‘flat buttocks’
- Learn all about scaling, fundraising, founder how-tos, and more at TechCrunch Founder Summit, November 4
- Lucid Motors’ EV output falls to lowest level in almost 2 years
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Waymo’s commercial robotaxi ramp-up looks expansive, both in geographic reach and in ridership. And by almost every measure, it is — until you pay attention to where the bulk of those robotaxis are actually showing up.
LinkedIn has long been a place for professionals to build their networks and share industry expertise. Now, the platform appears to be preparing to give creators more ways to turn that expertise into a business.
Most marketers optimizing for AI search visibility are focused on the wrong layer. They are tracking citations, which is the output. What they should be studying is fanouts, which is the input that determines whether a citation is even possible.
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.
Every week, someone asks me some version of the same question: if AI can do keyword research, draft content, run technical audits, and generate briefs, what does a strategist actually do?
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.

