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 โ4.6%, 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%. Thatโs 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, Googleโs AI Mode and AI Overviews reach the same conclusions 86% of the time โ 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.
Just analyzed my 2025 PG&E bills using @Veryfi AI and my jaw dropped ๐
Even myย cheaperย hours got +24% more expensive in summer.
And buried in every bill? Wildfire charges, PCIA fees, distribution costs, recovery bonds...
PG&E is charging us for California's entire infrastructure problem one line item at a time. ๐
@PGE4Me
#veryfi #thevault #pge #analytics #bills #data #ai
Congrats on the launch!
It's not as much AI but how technology is used in learning.
My wife is a pediatric OT and what I've learned from her is that sensory integration is pivotal in child development.
Unfortunately most technology robs kids of it. Touchscreens, while intuitive, offer a remarkably impoverished sensory diet compared to what children's developing nervous systems actually need. This leads to underdeveloped fine motor skills and sensory seeking behaviors.
Plenty of opportunities to get this right tho!
@MistersHomeRoom@KevinKileyCA Rote memorization and true understanding are worlds apart.
Cultivating understanding takes a skilled, demanding teacher and not someone who believes in lowering the bar for meeting students where they are.
@brivael The idea is the drug. The need is the addiction. Bad people are sometimes the dealers exploiting infrastructure (eg. social media) but the market was already there.
@agingroy@PercyRajani ~30% muscle loss? wtf! that could be around 10kg of muscle or to put it another way.. 2 years of hard weight training to build that muscle. Yeah this is fucked up.
How about heart muscle loss?