Martin Elitzer

Passionate about Web Development & SEO, Innovation & Sustainability

[Martin Elitzer @martinelitzer]

Interesting.

[Tim Soulo 🇺🇦 @timsoulo]

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.

[Martin Elitzer @martinelitzer]

The official #WCEU2026 schedule favorites lack a dedicated personal view. Alex just built this page to fix it: https://t.co/sU8LdDWoKD #WCEU2026 #WCEU

[Martin Elitzer @martinelitzer]

Most efficient way ever to work on my coding tasks right now (when weather allows for it): Pack a backpack with laptop and light camping chair, then
- Instruct the agents.
- Hike and think for 10-20 min.
- Sit down. Check work.
- Repeat.

[Martin Elitzer @martinelitzer]

@mattpocockuk @theo Opus-4.7 vs GPT-5.5 with Pocock skill workflow.

[Martin Elitzer @martinelitzer]

Insane value for developers orchestrating AI agents.

[Matt Pocock @mattpocockuk]

A talk I gave a few weeks ago.

Software fundamentals matter more than ever. Here's why:

https://t.co/KG7gdqFo2j

[Martin Elitzer @martinelitzer]

@wesbos wtf. dead nuts!

[Martin Elitzer @martinelitzer]

Excellent interview.

[sarah guo @saranormous]

Caught up with @karpathy for a new @NoPriorsPod: on the phase shift in engineering, AI psychosis, claws, AutoResearch, the opportunity for a SETI-at-Home like movement in AI, the model landscape, and second order effects

02:55 - What Capability Limits Remain?
06:15 - What Mastery of Coding Agents Looks Like
11:16 - Second Order Effects of Coding Agents
15:51 - Why AutoResearch
22:45 - Relevant Skills in the AI Era
28:25 - Model Speciation
32:30 - Collaboration Surfaces for Humans and AI
37:28 - Analysis of Jobs Market Data
48:25 - Open vs. Closed Source Models
53:51 - Autonomous Robotics and Atoms
1:00:59 - MicroGPT and Agentic Education
1:05:40 - End Thoughts

[Martin Elitzer @martinelitzer]

@tankots @WisprFlow Wispr Flow

[Martin Elitzer @martinelitzer]

@dhh Very nice.

[Martin Elitzer @martinelitzer]

@frank_thelen @grok "Verbrennt" Tesla aktuell Geld und hat "noch nie auch nur einen Dollar verdient" wie Markus Lanz in diesem Video behauptet?

[James LePage @jameswlepage]

https://t.co/5iQhSjDIS5

[Martin Elitzer @martinelitzer]

@jameswlepage Let’s go! 💪

[Martin Elitzer @martinelitzer]

@davidhdev Awesome! Good 2 know. Since sometimes certain animation configurations are dependent on hijacking.

[Martin Elitzer @martinelitzer]

@mattpocockuk Love to hear this!

[Martin Elitzer @martinelitzer]

@sahaj__b love to see it

[Martin Elitzer @martinelitzer]

@ravo @WordPress @nextjs @payloadcms @aisdk Payload

[Martin Elitzer @martinelitzer]

Tomorrow I have to decide which stack to use for a pretty big client project. @WordPress or @nextjs & @payloadcms will be the question. Esp. considering the progress of & possibilities with @aisdk .. the latter will win. Time to build agents, not pages.

[Martin Elitzer @martinelitzer]

good one

[Dwarkesh Patel @dwarkesh_sp]

The @karpathy interview

0:00:00 – AGI is still a decade away
0:30:33 – LLM cognitive deficits
0:40:53 – RL is terrible
0:50:26 – How do humans learn?
1:07:13 – AGI will blend into 2% GDP growth
1:18:24 – ASI
1:33:38 – Evolution of intelligence & culture
1:43:43 - Why self driving took so long
1:57:08 - Future of education

Look up Dwarkesh Podcast on YouTube, Apple Podcasts, Spotify, etc. Enjoy!

[Martin Elitzer @martinelitzer]

@mattpocockuk cant wait!

[Martin Elitzer @martinelitzer]

@famousish nice one