Asking Google AI
Sydney Business Web asks Google AI and Gemini direct questions about schema, semantic search, AI visibility and engineering-led website development — then checks whether the answers show real understanding.
This is not about pretending that Google or Gemini endorses us. They do not. It is about using AI answers as diagnostic evidence: can the machine understand what we have built, written and structured?
Article Index
Click an article below.
Schema Gorilla
Google AI was asked what Schema Gorilla means, who defined it, and whether the concept is useful for business website visibility.
AI Credibility Footprint
Google AI and Gemini are asked whether AI Credibility Footprint is a valid way to think about business proof, trust signals and AI search visibility.
Why We Are Doing This
Search is no longer only about rankings and blue links. People now ask AI systems direct questions and expect useful answers. That means business websites need to be understandable to humans, search engines and AI answer systems.
Sydney Business Web approaches this from an engineering perspective. A serious business website is a system: content, schema, service pages, author credibility, reviews, internal links, technical performance and structured business evidence all need to work together.
The Asking Google AI series tests whether our own terminology and methods are being understood: Schema Gorilla, AI Credibility Footprint, Sydney Business Web Semantic Search, entity alignment, structured data and AI visibility.
More Questions Coming
This index will grow as we ask Google AI, Gemini and other answer systems more questions about schema, semantic search, business website architecture, technical SEO, AI visibility and engineering-led web development.
The important thing is not whether an AI system gives a flattering answer. AI systems often do that. The important thing is whether the answer shows clear understanding.
We ask the machine questions. Then we check whether the answer proves the website is doing its job.


