A panel of 40 French news brands, analyzed by The Media Leader from ACPM audience rankings for September 2025 and September 2026, shows total visits falling from 2.14 billion to 1.70 billion, down 21%, with site visits down 23% while app visits fell 9.4%. Le Parisien's site lost 44% of visits and here, formerly France Bleu, lost 56%, though that outlet also changed domains; Abondance says the cause is disputed because of a very high September 2025 baseline, a spam update and Discover fluctuations. Marketers should report site, app and AI-referred traffic separately, because the panel shows search-dependent page views taking the loss while direct app audiences held up.
Bouygues Telecom and the agency Cosmo5 reported back on their first ChatGPT advertising campaign, saying the format is relevant at every stage of the conversion funnel while its incremental value is still unproven. The piece covers traffic quality, CPC and CPM results. Marketers planning ChatGPT ads should read those numbers as an early benchmark and test incremental value on their own campaigns instead of assuming it.
Radisson Hotel Group built a ChatGPT plugin with Accenture so travelers can find, compare and book hotels while planning a trip, OpenAI says. It moves hotel discovery into the chat instead of sending travelers to a booking site. Travel marketers should expect assistants to become another storefront, where what a brand publishes about rates and availability decides whether it gets shown and booked.
CINC built an internal Google Chrome extension that shows which keywords ChatGPT used when it searched the web to produce an answer, Web担当者Forum reports. The company says it uses the extension to analyze AI search optimization and to plan which pages to add or improve. Marketers can work the same way: find out what an assistant actually searched for, then fix or add the page that should have been quoted.
Google updated its Merchant Center help page to say a product that changes more than once a day may be disapproved rather than updated when Google finds a mismatch, according to Search Engine Roundtable. Merchant Center feeds supply Google Shopping, AI Mode and agent checkout surfaces. Merchants whose prices or stock move several times a day should slow those feed updates or risk the product disappearing from the surfaces AI shopping features and agents read.
Duane Forrester writes in Search Engine Journal that a Google DeepMind proof shows one model can rank results without a separate index, and argues that if it ships, visibility stops being a page position and becomes inclusion in an answer or absence from it. The piece is analysis of a research result, not a product announcement. There is nothing to implement today; the practical reading is to keep building the coverage that gets a brand included in answers rather than chasing rank positions.
Google is turning Gemini into an agent that can plan and carry out tasks across business apps, hand work to subagents, and use more than one AI model. The agent also gets its own workplace identity, including an email address, according to TechCrunch. Marketers selling into companies should expect research and purchasing steps inside those firms to start running through Gemini agents, and should check that their product information is readable by an agent rather than only by a person.
A column from PropellerAds argues that as media buying agents move into production, buyers need to police the signals those agents act on, not only their spend limits. It cites IAB's 2026 Outlook, which found 96% of buyers aware of agentic AI for ad buying and 66% increasing their focus on it. Marketers handing buying decisions to agents should ask vendors how they check the quality of the inputs those agents trust, because a budget cap does not catch a bad signal.