Google Expands AI Search Ads Globally as Core Ad Growth Slows
Google takes ads in AI Mode to international markets as core Search ad revenue growth slows to 12%. Inside the formats, the numbers, and what advertisers and publishers should do.
Google takes ads in AI Mode to international markets as core Search ad revenue growth slows to 12%. Inside the formats, the numbers, and what advertisers and publishers should do.
Publishers are starting to treat AI agents as readers. We break down WIRED’s report on Axios Direct feeds for agents, Every’s prompt-filled and extendable articles, Time’s FAQ-style ads for bots, Reuters Institute data on chatbot news use, and what the AI agent audience means for anyone who publishes online.
Google AI search changes are transforming the relationship between search engines, publishers and online readers. For years, digital publishers relied on Google to help audiences discover articles, news reports, reviews and specialist information. In return, Google benefited from the enormous library of content available across the web. That arrangement is changing as AI Overviews and […]
Airbnb’s fall update brings AI search, keyword filters, AI listing summaries and side-by-side comparisons to US guests, plus Connect and a Travel Map of friends’ trips. We explain how it answers Brian Chesky’s own case against chatbots, check his $100 billion figure, and cover the new services, host tools and the agent threat behind the timing.
On 25 August 2026 Keenable exited stealth with a $26 million seed round led by Accel, plus participation from Conviction Partners and business angels, and a web index of more than 100 billion documents built for AI agents rather than people. Fifteen engineers, a search API, an MCP server and an unreleased Web Query Language sit behind it. Here are the disclosed numbers, the published pricing, how it differs from consumer search, who else is competing for the same ground, and the questions Keenable has not answered.
AI search engines do not cite pages, they cite passages — and most B2B websites contain almost none worth quoting. This guide covers the mechanics rather than the mood: what retrieval systems actually select, the five-part anatomy of a passage a model will quote, the formatting rules that keep a claim and its evidence inside one chunk, the four kinds of evidence that earn a named citation in B2B, the entity and crawler-access work that decides whether you are eligible at all, which page types produce citations and which never will, a full worked rewrite of a real service page, a 100-point scoring audit you can run this week, how to measure presence rather than sessions, the mistakes that quietly destroy citability, realistic effort and costs, and a sequenced 90-day plan.
Two new acronyms have arrived beside a discipline that took twenty years to mature, and most businesses are now being quoted for three services when they need one programme with three emphases. This guide defines answer engine optimisation, generative engine optimisation and traditional search optimisation without hedging, quantifies the roughly sixty per cent of the work that is shared, and gives you a five-question test that settles the split for your own company. It covers what each service delivers in practice, realistic UK price ranges and why a combined retainer beats three quotes, the order to fund the work in across a first year, the metrics that keep each surface honest, the mistakes that reliably waste a quarter, and a 90-day plan to get the mix right.
Most teams collect generative search observations and never turn them into a report anyone can defend. This guide sets out the reporting framework itself — precise definitions and formulas for presence rate, citation rate, share of voice and a weighted visibility index; the eleven-column data model every number is summed from; how big a sample a claim needs before it belongs on a slide; and the five-page monthly pack, from headline metrics through to the diagnosis page that drives the work. A worked example of 600 observed answers runs through every chart, alongside target setting, pipeline correlation without fake attribution, build-versus-buy tooling, the mistakes that destroy trust in the numbers, and a 90-day plan to stand the whole rhythm up.
A growing share of commercial questions is now answered as prose that names two or three brands and nobody else, and most companies have no idea whether they are one of them. This guide replaces the guesswork with a repeatable method: a frozen 40-prompt set across four categories, a 0-to-3 scoring rubric, and five metrics — presence rate, share of voice, citation rate, answer position and framing. It covers how ChatGPT, Gemini and Perplexity differ, what your server logs can and cannot tell you, the levers that actually move the numbers, and a 90-day plan to get from a baseline to a trend.
ChatGPT rolls out search across chats with a major productivity upgrade that allows users to quickly find information stored across conversations, projects, images, and documents. As AI assistants become central to both personal and professional workflows, the ability to efficiently retrieve past information has become just as important as generating new content. Instead of manually […]