Your performance metrics look fine.
Your brand equity is quietly decaying.
No dashboard will surface the cause until it's too late to fix it.
Three forces are making that reckoning unavoidable.
Really cool, I’d love to see a tab with analytics for profile performance, plus a way to monetize search profiles through a Store tab. Ideally, creators or publishers could either connect products natively or affiliate links from a @Shopify store (@tobi@harleyf). It would also be amazing to have a way to launch a Pmax ad directly from the profile with just one click. So much potential for these profiles.
.@heyclicky is one of the most exciting things I’ve tested in a long time. I love voice and still think it’s the future of OS, but we still need a fast way to spin up agents with text. Voice will never fully take over if we can’t solve the secondhand embarrassment of talking to your Mac in a packed coffee shop or office. @FarzaTV
Rewatching Gomorrah and it might be the greatest TV show ever made. It clears The Wire and The Sopranos. If it were in English, we’d never stop talking about it. Convince me otherwise.
People can easily follow a source from their new Search profile, so they’re more likely to see content from that source on Discover on the Google app. Learn more. https://t.co/Y5Rgwm7h01
In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization:
1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically.
2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts.
3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer.
4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things.
5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode (+2.4%) and ChatGPT (+2.2%) showed changes indistinguishable from zero.
6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products.
7) AI Overviews reduce clicks to the #1 result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating.
8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time.
9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap).
10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.
@FarzaTV I love controlling my computer with voice, but for voice to truly become the OS of the future, we need a way to do it in public without embarrassment.
The first iteration of gemma-skills is officially out! 🛠️
It enables agents to build with Gemma, including using MTP to improve speed, choosing the right model size for your use case, and locating up-to-date resources.
@nickfrosst Do you have a contact from Standard Time who knows where or who built the speakers? I’m looking for a new hi-fi setup and I’m stuck between speakers from Devon Ojas kO-R2 or a vintage JBL 4311B. Mini versions of these at ST would go crazy.
The gap between “we should use AI” and “here’s what’s actually shipping into the platforms” is where most growth teams are stuck right now. got to break it down for a packed room on monday. still my favourite way to think out loud.