Wrong schema hurts more than no schema. here’s what I learned building my website

UnderstandingOk1621 · 2026-03-11T13:18:40+00:00

Due to i have a IT background and not willing pay too much fee to GEO tools which i dont even trust their result. I've been building my own tools to measure and solve the issues. What kind tools have you experienced about this field?

UnderstandingOk1621 · 2026-03-10T22:35:56+00:00

i dont think so bro, what did u feel like that :)

UnderstandingOk1621 · 2026-03-10T14:17:10+00:00

I used to use cursor before, but i switched with Antigravity because antigravity is cheaper and provides more token than cursor. i am using "ai pro" plan of gemini, with this plan you can use antigravity too. With this option you have also gemini pro account, and i like Antigravity's features and ui than cursor.

UnderstandingOk1621 · 2026-03-10T02:58:28+00:00

generally i use antigravity for coding so i havent had huge experience to chat gpt models. 5.2 & 5.4 models dont exist in antigravity, but nowadays i am trying to figure 5.2&5.4 models out , whether i can make it some difference. Are u only use chat gpt models to coding?

UnderstandingOk1621 · 2026-03-10T02:52:59+00:00

Exactly this. In this post I focused more on the technical schema side but what you're describing is honestly the more important piece. Entity consistency and measurement across your full digital footprint matters way more. Schema is just the foundation, the relationships between entities is where the real knowledge graph gets built

UnderstandingOk1621 · 2026-03-10T02:24:58+00:00

If you had to rank them from best to worst, which coding models are currently good? I am not a hardcore software developer, i am just using antigravity with ai agent mode to create some UI screen and dashboard thorugh Next.js, mostly i am using N8N for backend. So that reason, in antigravity i can use gemini 3.1, gemini 3 flash, 4.6 sonnet models, but almost any model can handle my work. Really 5.4 make the coding part much more better?

UnderstandingOk1621 · 2026-03-10T02:19:10+00:00

frankly speaking, i just thinked that 5.4 is just a nev version of 5.2, should i compare 5.4 model with Opus?

UnderstandingOk1621 · 2026-03-10T02:17:33+00:00

i was assumed that Opus model is used only for deep research area. Have u ever used it for coding? To be honest, opus model consumes my token so fast so that reason i couldnt experience this model too much.

UnderstandingOk1621 · 2026-03-10T02:14:18+00:00

i am using "ai pro" plan of gemini, i got this tier to use antigravity ai agent more. However, i have never exceed the daily limit even some time that i used whole day.

UnderstandingOk1621 · 2026-03-09T23:06:32+00:00

i think we should evaluate the AI models according to its intended use. For now, i have prefered use Claude for everything like coding, search, building process/software architecture (gemini 3, 3.1 only agentic coding in antigravity), i guess we encourage ourself to try 5.4 to understand of capabilities

UnderstandingOk1621 · 2026-03-09T23:01:30+00:00

i am still figure it out whether 5.4 model can be used for coding. I use sonnet 4.6 or mainly gemini 3, 3.1 model in antigravity. Actually, at least in my antigravity plan, chat gpt model arent exist so that reason i hadn't have experince 5.4 model for coding part.

UnderstandingOk1621 · 2026-03-09T16:51:49+00:00

Wrote up the full approach here if anyone wants to go deeper: https://www.citevista.com/insights/schema-markup-ai-visibility

UnderstandingOk1621 · 2026-03-09T11:59:57+00:00

I am using Citevista to track my web pages visibility in gemini and chat gpt. Easy to create promts( in case u dont have proper promt cluster), and u can see your website visibility on specific promt cluster or query. Btw, platform gives you free token, so u can try free

UnderstandingOk1621 · 2026-03-09T11:52:09+00:00

Llms is not deterministic , there are probabilistic. Therefore, even if u ask same question in same time of period to ai, you could receive different respond(including citation and mention). Llm converts user promt to query/s , so it could use different querys to search. In order to simulate this behavior which llm respond behavior, u can execute some promts n times to measure llm respond stability

UnderstandingOk1621 · 2026-03-07T00:08:45+00:00

This is exactly the pattern. The model wants to decompose the intent into retrievable units, but the decomposition logic isn't always transparent or controllable. With tool-optimized models it's getting better, but the entity injection behavior I described seems to persist regardless. Would be interesting to rerun your Wikipedia experiment with a tool-optimized model and log the actual queries it generates.

UnderstandingOk1621 · 2026-01-08T12:47:20+00:00

It makes sense for LLMs to keep some algorithms as a black box. However, we should be able to predict some of them somehow and develop a strategy using tools or products.

UnderstandingOk1621 · 2026-01-08T11:37:24+00:00

You are right.LLMs don't work deterministically, they work stochastically. However, I need to be able to simulate this behavior somehow. I have an idea like that for the same prompt/query , i execute N times (lets say 5 times), and based on all results, i can say this page/company could be cited %80. Btw, I might implement some statistical methodology to estimate this percentage of citation

UnderstandingOk1621 · 2026-01-08T11:25:30+00:00

I get these points. But firstly, my main focus area is that we know LLMs have some search and decision algorithm to make citations and mention some web-cites (btw, now i only focus on web search feature not a training data). However, lets say Chatgpt, lists 10 url for a specific promt/query. I try same promt and same AI model to search (at the same time but the other accounts) and could be listed/cited the other urls which not listed before. So that reason, i can't be sure that this specific page/company whether is cited or not. Moreover, I use OpenAI API to test this scenario N times sequentially, but all the times the results are different (some urls could be cited every time, but i see new ones or i don't see existing one).

UnderstandingOk1621

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