Building @Mantasaur | We make brands visible to AI, not just humans.
GEO & LLM optimization so ChatGPT recommends you — before your competitor.
Founder sharing
@claudeai Claude is slowly turning into a full-blown operating system. The speed from prompt to interactive UI is getting insane. RIP static screenshots.
@lulumeservey Wait until people find out about 'Prehistoric'. It’s not pre-historic, it’s literally 'before recorded history'.
Also, the helico + pter breakdown explains why it’s a 'Heli-port' and not a 'Heli-cop-port'. Mind blown.
Adding an llm.txt to my project today.
If you aren't doing this yet, you're basically making it harder for ChatGPT/Perplexity to understand your docs. It’s the new robots.txt for the AI era.
Keep it clean, keep it markdown-heavy. #buildinpublic#SaaS#GEO
@perplexity_ai The transition from an AI search engine to a 24/7 personal OS layer is massive. Running on a Mac mini locally makes the privacy/security argument much stronger. This is how the 'AI Agent' era officially begins. #Perplexity#AI"
Announcing Personal Computer.
Personal Computer is an always on, local merge with Perplexity Computer that works for you 24/7.
It's personal, secure, and works across your files, apps, and sessions through a continuously running Mac mini.
@karpathy The era of 'intelligence brownouts' is a wake-up call. Realizing how much our collective IQ now depends on uptime is wild. Time to build more resilient, local failovers.
Building a deep dive on GEO (Generative Engine Optimization) for Shopify stores.
Is your project already being picked up by AI search engines like Chatgpt, Claude or are you still focused on traditional SEO? Let's talk! 👇 #BuildInPublic
“Claude, please propose projects we could do that would restore the sense of childlike joy I felt sitting at my computer a mere few months ago, that feeling of frenzy, that sensation of electricity, that the black hole of politics has sucked away. Make no mistakes. Ultrathink.”
Spot on. AI is moving from 'destination' to 'infrastructure'.
The interface is indeed disappearing, which is exactly why AISO (AI Search Optimization) is becoming critical. In a world of invisible orchestration, you don't rank for clicks anymore; you optimize for being the default 'current' that the system carries.
We're shifting from building apps to influencing the medium itself.
SEO is about ranking for keywords. AISO is about ranking for intent.
While building Mantasaur’s 'AI Visibility Score', I realized models don't just look at metadata; they evaluate brand authority based on context and citations they’ve 'learned.'
This changes everything for SaaS marketing. We’re moving from 'gaming the algorithm' to 'convincing the reasoning engine.'
The Big Question: > If Google Search died tomorrow and people only used Claude/GPT to find tools, would your project even exist in their 'memory'?
Be honest—how many of you have actually checked if an LLM knows your brand exists? 👇
The 'ingestion' gap is real, but there’s a trade-off between raw volume and reasoning precision.
In my tests for Mantasaur, I've noticed that while one might 'ingest' more, the other often understands the intent behind a complex query much better.
For AISO (AI Search Optimization), being able to process a massive document is useless if the model misses the subtle nuance of a brand recommendation. High-fidelity reasoning will eventually matter more than just being a data vacuum.
Exactly. AI isn't replacing the expert; it's just stripping away the 'busy work' that masked itself as expertise for decades.
Knowing which questions to ask is now the only moat left. It’s why we’re shifting from SEO to AISO—the value is no longer in having the information, but in how an agent interprets and recommends it. High-level intent is the new billable hour.
This is the core shift of the 2020s. We’re moving from 'knowledge acquisition' to 'intent orchestration.'
While schools are stuck in the era of memorization, we're building tools for a world where humans are architects of AI agents, not just info-processors. The real sabotage is not teaching kids how to discern and steer these models.
Education needs to pivot to teaching 'prompting the world' rather than just answering it.
Most SaaS founders focus on SEO, but they’re completely blind to AISO (AI Search Optimization).
Just finished the 'AI Visibility Score' for Mantasaur. It doesn't just guess; it actually queries models to see if they recommend your brand or your competitors.
The first tests are... eye-opening. Some "big" brands are invisible to Claude and GPT.
I’m curious: If you had to pick one AI model to be recommended by, which one would it be and why? GPT-5, Claude 4.6, or Perplexity? 👇
The silence is often louder than the letters. While some are busy debating the 'doom' in theory, the real shift is happening in the engineering trenches.
We’re past the point of open letters; we’re in the era of building the observability and verification tools that make these systems actually accountable in the wild.
This is a masterclass in the shift from 'Builder' to 'Architect.'
You didn't just build a store; you exercised high-level judgment on brand, UX, and SEO while letting AI handle the 'production' layer. The fact that you prioritized LLM-readability (llms.txt and AI crawler access) shows you’re already playing the 2026 game.
Most brands are still fighting for Google Page 1, but you’ve made @moumoujus 'citation-ready' for the agent era. This is how you close the trust gap at scale
This is exactly why the 'Context Window' debate is becoming secondary. It’s no longer about what the model remembers, but what the agent can execute on the fly.
The shift from 'Chatbot' to 'Engineer-in-the-loop' changes everything for knowledge work. If an agent can write its own tools and spin up specialized sub-agents, the only real bottleneck left is how well your domain data is structured for them to ingest.
We are moving from 'Searching for answers' to 'Architecting outcomes.' Wild times indeed.