@marclou Yeah, I believed that it was good at front in the beginning and bad at backend, but now I agree with you. One shot with ui is never good, it’s better with back end ;( but both need love, the idea that ai does all by itself is dead. You did a great job on the ship or die ui!
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.
@karrisaarinen In my experience, extra hours were a direct consequence of poor management and decisions (mine or from my leadership), and the extra hours were required to bypass/fix it.
@trashh_dev It gets better when you get into the correct mood. Let's be honest, the prompt is not the problem, this is actually fun. The problem is your work.
@ThePrimeagen Totally, and for me it keeps changing almost monthly. This month Codex looks dope, nailing everything. Next month it becomes Homer Simpson and Claude takes the lead.
I just submitted Scrapunk - Scrape anything, anytime. for review on Ship or Die 🏴☠️
It took me 11 days to ship in public and submit proof, but I was working on it for 4 more days before.
Forcing myself to publish stuff, instead of keep waiting for perfection to publish (and never do).
Come cook with me:
https://t.co/hZA4rPh9YD
Ahoy, team! during last week, I've made an app for web scrapping.
The idea is simple: you focus on your products; we handle captchas, proxies, sessions, webhooks, html, markdown, structured extraction with
AI and you can automate complete complex scraping flows without needing to handle and maintaining scripts by yourself.
There's still a long way to go, but let's build it together, I am eager to see you using it: https://t.co/KO8TOqoqRE