Interior Designer job are fully cooked by @Planner5D new AI Studio release.
It is like Claude or Codex but for interior design.
https://t.co/LLYShOvvMh
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.
Create Motion Graphic Videos w/ Remotion
Using GPT 5.5 inside Codex
(Full Guide)
TIME STAMPS:
00:00 Intro
02:40 What is @Remotion
04:31 Setting Up the Remotion Plugin
05:47 First Prompt: Hello World (First Test)
15:53 Building Brand Assets & File Organization
19:25 Adding Music with @suno
21:47 Adding More Scenes
26:37 Rendering the Video
27:12 Final Thoughts
APP SCREENSHOT DESIGNERS ARE COOKED 🍳
Appkittie released a new version of their screenshot generator.
Check the screenshots for Cal AI :)
It's over guys. Appkittie controls this industry.
In the coming weeks, we plan to start testing ads in ChatGPT free and Go tiers.
We’re sharing our principles early on how we’ll approach ads–guided by putting user trust and transparency first as we work to make AI accessible to everyone.
What matters most:
- Responses in ChatGPT will not be influenced by ads.
- Ads are always separate and clearly labeled.
- Your conversations are private from advertisers.
- Plus, Pro, Business, and Enterprise tiers will not have ads.
Apple’s new App Store Review Summaries (published April 24 2025) in a nutshell:
- Scans all new reviews first
- Pulls out the main ideas
- Groups similar insights together
- Chooses the most useful mix
- Writes one short 100- to 300-character paragraph
- Regularly refreshes
Excited to introduce Icon, The First AI Admaker.
We’re backed by Peter Thiel’s Founders Fund & execs of frontier AI labs like OpenAI, Pika, & Cognition.
Icon (https://t.co/RKWomrKrAu) is like ChatGPT + CapCut, but for making winning ads with AI in minutes.
How it works:
1. Icon looks at your video library & tags scenes (e.g. "close-up," "unboxing"). These scenes become reusable clips used as lego blocks for making ads.
2. Prompt Icon’s AdGPT to generate scripts focused on specific angles & audiences.
3. Icon finds perfectly matching clips for every script scene & generates an ad that is 80-99% complete.
4. Make edits with our CapCut-like video editor until you're happy.
3-person creative teams make 30 ads per month. With Icon, they make 300.
We co-built Icon with $100M+ revenue brands like Ridge, Jones Road, Immi, Backbone, & MUD\WTR to solve big pain-points:
1. Making lots of ads is extremely painful. Icon helps you automate the tedious parts of scriptwriting, scene matching, video editing, audience research, UGC creation, & more.
2. AI-generated ads look like trash. Icon remixes your existing footage into new ads, matching your production quality & maintaining brand aesthetics.
3. Existing solutions charge $2K-$30K/month for:
🔍 Competitor ad spying & cloning
📈 Creative analytics
📹 Custom & stock avatars for AI UGC
👥 Audience research
📁 Video storage & tagging
Icon does scriptwriting & video editing on top of everything above for just $999/year (their margin is our opportunity 😉).
If you’ve made it this far, we have a surprise for you 👇🏻