Most sites have JSON-LD.
Almost none treat it as a system.
Multiple scripts. Duplicated entities. No shared graph.
Looks fine to humans. Breaks machine reasoning.
This is why AI answers drift.
Code is here for anyone curious: https://t.co/HoM2Pch9G9
Google I/O leaks: Gemini’s "Omni" push and Gemini 3.2/3.5
- A new “Omni” model is being tested, hinted via a video UI ("powered by Omni"), pointing to deeper multimodal capabilities
- Expected to go beyond current systems (like Veo), with better video generation quality and control
- Could introduce native video output inside Gemini, not just text and images
- New Gemini versions (3.2/ 3.5) are reportedly in testing, focused on faster and more efficient performance
- Gemini Ultra is expected to evolve into a more memory heavy, long context system for consistent multistep workflows
- Subscription tiers may shift to a clearer Advance / Pro / Ultra structure
- A new memory feature ("Teamfood") aims to improve how Gemini uses past chats and long-term context
- Additional visual model work (e.g., "spark Robin") suggests a strong push on image + video capabilities
@trikcode Lol at least 5 years experience is getting hired. Wait til you reach 10+ it takes 6 to 12+ months to get hired. Even with FAANG and other notable companies in your resume.
I got buddies going on 13+ months back in school for nursing.
@hugh_reksh20038@0xleegenz What state do you live in to pay $200 in groceries to last you 1 month? Are you just surviving on beans and rice? WTF your medical bill will be 1000x+
Well I grew up in a family involved in the food industry. Running a restaurant is definitely not easy especially dealing with variety of people. But let me tell you that tipping system is broken. Restaurant owners are taking advantage of it. If you’re a restaurant owner and paying your employees the restaurant version of minimum wage and disagree with my statement then you’re a hypocrite. Restaurants can afford to pay $15 an hour with proper management. If you’re not getting enough customers to be able to afford that then you don’t know how to run a restaurant business and that includes picking the wrong location or serving food that doesn’t meet the standard of the neighborhood.
Those who believe customers should tip 15%+ than you should tip teachers, real estate agents, lawyers, and software engineers. Surprisingly software engineers are being underpaid despite their $100k+ salary. The amount of work they put in and mental load they deal with is far beyond waiting tables at a restaurant.
If my comment triggers any kind of uncomfortable emotion then it’s because your opinion is irrational.
@VectorGapAI It would be funny if you can get AthenaHQ as your client. Look at their technical on their landing page and tell me they don’t look fishy. I mean exGoogle who worked on one if their AI products, been around over 1 year, got millions in funding, and zero AI optimization…
100%. Retrieval vs parametric is the fault line most playbooks ignore.
On the schema graph question: yes, entity resolution is the core, but with a specific goal. We are trying to create a consistent baseline a model can reason over without conflicting signals.
Most sites technically have schema, but in practice it is fragmented, duplicated, and injected by multiple tools. From a model’s perspective that means multiple near-identical entities and probabilistic guessing.
Collapsing that into a coherent graph gives both RAG systems and parametric models the same starting point. Less contradiction, less ambiguity.
The reason we care is simple: without a stable baseline, you cannot produce reliable signals, and without reliable signals, businesses cannot trust downstream metrics that tie back to revenue.
Optimization tactics change. A consistent baseline is what makes measurement and attribution possible at all.
Serious question for AEO / GEO specialists.
How can anyone claim to provide a complete AI visibility solution without a deep, working understanding of how AI systems actually reason?
Not prompts.
Not content playbooks.
Not “LLMs like FAQs.”
I mean:
• retrieval vs generation
• entity resolution
• grounding
• schema graphs
• ambiguity + conflict resolution
• why hallucinations happen
Real enterprise solutions eventually expose technical surfaces:
SDKs. Specs. Tooling. System models.
So why does AEO/GEO stop at strategy decks?
If it’s proprietary, where’s the technical framework?
If it’s not technical, why is it sold as an AI solution?
Opinions don’t scale in AI. Systems do.
Today was one of those days.
An enterprise brand reached out to talk about a pilot. Exciting and terrifying at the same time.
After weeks of silence and uncertainty, this felt big.
Nothing is guaranteed yet, but days like today make the grind feel worth it.
Grateful to Jesus.
Grateful for my family.
They are part of why I keep showing up, even on the hardest days.
You don’t lose until you quit.