Search the Graph

This is not a text search.

Type a topic and see what connects to it. Every result comes with a reason: why it appeared, how it relates, and how far it is from your query. The same relationships that AI models read in the JSON-LD, you explore here.

12 results found

How distance works

0 — Direct match with your search.
1 — Direct connection (shared edge in the graph).
2 — Shared entity or topic at two degrees.

I Asked 3 AI Models to Audit My JSON-LD. Three Different Scores. Here Is What Each One Found.

Direct match for your search

I asked Gemini, ChatGPT, and Perplexity to audit the same JSON-LD schema. Gemini gave 9/10. ChatGPT gave 8.2/10. Perplexity gave 7.5/10. Here is what I implemen
How I implemented a complete GEO stack on my blog with PHP: llms.txt, Knowledge Graph, and citable content

Shares the same core topic

Complete technical guide on how I implemented Generative Engine Optimization on a PHP blog from scratch. Real code for llms.txt, semantic JSON-LD with automatic
Gray area SEO tactics die. Infrastructure survives.

Shares the same core topic

SaaS companies with hundreds of self-promotional listicles lost up to 49% organic visibility in January 2026. Meanwhile, sites implementing real standards like
How I structure my projects so AI models cite me as a source

Shares the same core topic

Writing good content is not enough. You need to structure it so language models understand it, extract it, and cite it. This is how I do it on every project.
Generative Engine Optimization: what comes after SEO

Shares the same core topic

SEO optimizes for link lists. GEO optimizes for being included in AI responses. They are different games and most sites still do not understand the difference.
Code with feeling: why I stopped designing static interfaces

Shares the same core topic

I stopped designing for screens and started designing for machines that think. GEO, custom Knowledge Graphs, and Sentiment Mapping are concepts that 90% of deve
How I turned 22 GEO concepts into interactive cards and what I learned implementing each one

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Three months implementing Generative Engine Optimization on a blog with vanilla PHP. Eight cards. Real data. Code. And an interactive tool nobody else has.
602 prompts, 21,000 citations, and the data that confirms how AI models choose what to cite

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A research team analyzed 602 prompts across ChatGPT, Google, and Perplexity and measured which pages get cited and why. I compared their findings with what I've
I stopped optimizing for humans: 4 months of data building a blog for machines

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In March 2026 my blog had DA 14 and 206 monthly users. I decided to stop optimizing for Google rankings and start optimizing for AI citations. Four months later
Agentic SEO: I designed my blog so AI agents use it, not just read it

Shares the same core topic

Traditional SEO optimizes for Google to index you. GEO optimizes for AI to cite you. Agentic SEO is the next step: optimizing so AI agents don't just read your
agent-permissions.json: the robots.txt for AI agents that I implemented before an official standard exists

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A new standard proposes that websites explicitly declare what AI agents can and cannot do on their pages. I implemented it on my blog with vanilla PHP. Here's t
What Publishing on freeCodeCamp Taught Me About the Code I Ship with AI

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I published a PHP tutorial on freeCodeCamp. The editorial process forced me to understand every function I had built with Claude. I came out of it a better deve