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Summary On August 3, 2026, the Interactive Advertising Bureau published Measuring Visibility in the AI Era, the industry's first attempt at a shared vocabulary for AI visibility measurement. It is a genuinely useful document in the narrow sense: it gives brands, agencies, and publishers common terms — Mention Rate,

Political AIRS Pilot, v0.1 - Kathy Hochul (D) and Ron DeSantis (R), US market, July 2026 Every conversation about AI and politics so far has been about visibility: does a candidate get mentioned, does a claim get cited, is a campaign's messaging showing up in AI answers. That

A number everyone is quoting, and mostly misreading Over the past year, one statistic has become shorthand for enterprise AI skepticism: 95% of generative AI pilots fail to deliver measurable P&L impact. It comes from MIT's Project NANDA, in a study titled The GenAI Divide: State

A magazine starts selling ads to robots. The harder problem is what happens after they read them. Advertising has always required an audience willing, however reluctantly, to pay attention. Time, a magazine venerable enough to have covered both world wars, has found a new one: machines. Since July it has

A Republican and a Democrat were run through the same four-turn AI probe. The distortions weren't partisan. They were structural. The finding in one line We measured how AI models represent political figures across a full voter conversation, not a single query. The same failure patterns showed

A post making the rounds this week put it well: in AI search, you don't occupy a results page, you occupy a clause. "For running shoes, most people recommend ___." That position isn't bought at auction. It accumulates upstream, in reviews, citations, and cultural presence

A sanctioned Wagner front group just showed why "generative engine optimization" was always measuring the wrong thing. A new report from CASM, the Centre for the Analysis of Social Media at the UK think tank Demos, tested five leading AI chatbots against fifty propaganda claims sourced from a