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Google is about to start acting like that friend who “helps” without being asked.
Auto-pulled promotions (from October 12). Google will automatically pull deals from your website and turn them into promotion assets for Search and Performance Max campaigns — no click required on your part. You’ll only see these assets after they get impressions, so keep an eye on your asset reports. Don’t want this? Opt out via “Automated Promotions” in your automated asset settings.
AI campaign localization beta. Google will clone a Search campaign into a separate, paused campaign in another language. Translation runs from US English into Dutch, German, Italian, Polish, and two variants each of French, Portuguese, and Spanish (more languages by end of 2026). It covers headlines, descriptions, sitelinks, callouts, and keywords. Landing pages need Google’s code snippet for on-click translation, or a URL swap like /en to /fr. Important: budgets and bids copy over without currency conversion — adjust before unpausing.
PMax asset group A/B tests. You can now run experiments on headlines, descriptions, images, and video inside PMax asset groups. Note that the group freezes during the test, so plan around your promo dates.
Learning period, updated. Google’s help page no longer mentions the old 50-conversions rule. It now cites “1–2 conversion cycles” and notes that learning continues even after the “Learning” status disappears.
Sitelinks, AI edition. A sitelinks-style format has been spotted inside AI Mode — still a test, and it’s already drawing mixed reviews.
The pattern is clear: Google keeps adding new defaults. Your job is to check which ones help and switch off the rest.
Google’s AI content guidance just got stricter. It’s now “critical” to manually fact-check all AI-generated output before publishing — and that includes titles, meta descriptions, structured data, and alt text, not just body copy. Models predict words, so they hallucinate; the review burden is on you.
Fake authors are a low-quality signal. Google’s people-first guidance now explicitly flags fabricated author profiles — AI-generated headshots, made-up names, false credentials — as deception. If you’re using AI personas for bylines, it’s time to stop.
How long do fixes take? Gary Illyes shared typical ranges: title changes take 1–2 days, site moves 1–3 months, and core update recovery 3–6 months. (No sample sizes were given, so treat these loosely.)
AI visibility is getting a yardstick. SPUR — backed by the Guardian, FT, and BBC — released a standard for tracking how AI tools retrieve, cite, and display content, and invited OpenAI, Google, Meta, Microsoft, and Anthropic to its advisory board. If adopted, it could give AI search visibility a common measurement standard.
SERP-commerce experiments. Bing is testing a “Recommended by GearLab” product section (only retailers get the links), and Google is testing a “Try on” button directly in SERP carousels — before shoppers even open them.
The theme: everyone wants proof now. That facts hold, authors exist, recommendations happened, and the shirt fits.
Christine Skopec edits 115+ articles a year for Semrush. She used to invent a fresh approach for every piece — until she built a framework instead.
Step 1: Define your editing approach before touching the draft. Five levels:
Step 2: Score the piece 0–2 on article quality, article type, article importance, and writer experience. Add them up for a total out of 8. Note that importance scores inversely — the pieces that matter most get the heaviest edit.
Step 3: Let the total decide. 0 = Overhaul, 1–2 = Rework, 3–4 = Deep Dive, 5–6 = Lighter Touch, 7–8 = no notes. Most of Christine’s work lands in Deep Dive territory.
Two more habits: teach writers to lead every section with the main takeaway (the BLUF principle — “bottom line up front”), and fact-check every draft regardless of approach, including name spellings, primary sources, tool feature claims, and SEO assertions.
Something almost true about SEO is the easiest way to lose a reader permanently.
A recent Spinwheel survey asked US adults what stresses them more: the number of payments they juggle, or the total amount they owe.
Older shoppers worry about the size of the bill. Gen Z worries about keeping track of it all: the due dates, the apps, the autopays. They grew up with pay-in-4 at every checkout — each purchase looks small, but five holiday orders turn into 20 due dates.
The Q4 takeaway: in holiday campaigns, sell Gen Z on simplicity, not just a lower price. Offer “pay in full and save” deals or make payment schedules easy to see. For older shoppers, lead with the total price and the discount.
