AI

Researchers ran 1,000 ranking-style queries and measured how often the domains appearing in Google's top-10 results also turned up in citations generated by four major AI platforms.

This research is not a survey, not a model, not a projection. Stanford Digital Economy Lab researchers fed individual-level monthly payroll records from ADP covering more than 3.5 million workers into their analysis, and the numbers that came back were blunt.

Reddit's second-quarter 2026 result looked strong on almost every line. Advertising revenue came in at $762 million, a 64% increase on the same quarter a year earlier, extending eight consecutive quarters of better than 60% revenue growth. Total revenue reached $805 million, up 61% year-on-year.

Search campaigns running automatically created assets or campaign-level broad match settings will be moved onto Google's AI Max from September, whether account holders asked for it or not.

The number that should be on every marketing team's whiteboard right now is 8. That is the percentage of visits in which a user clicked a traditional search result when Google served an AI-generated summary, according to a Pew Research Center browsing study published in July 2025.

Amazon's order confirmation email used to read like a tidy receipt: item names, product images, prices. Now it reads closer to a customs form filled in by someone who prefers not to commit.

Traditional search engines crawl the web, index pages, and hand users a ranked list of links. LLM-based search engines work differently: an AI agent takes a query, breaks it into sub-queries, retrieves a small set of documents, and synthesises a natural-language answer with in-text citations.

Every digital ad format built since the 1990s rests on the same assumption: click, land, convert. OpenAI is now testing something that breaks that chain.