Let’s be honest.
The days of hiring a generalist agency to “sprinkle some keywords” and run a few prompts are over.
If your agency is fluffing about, claiming to be an AI know-it-all without a dedicated technical team, they are just taking your money.
Here is the absolute truth about Generative Engine Optimisation (GEO) and AI Search in 2026:
It is no longer a marketing game. It is a Data Engineering game.
The Technical Reality:
Platforms such as ChatGPT, Perplexity, and Google’s Gemini do not “read” websites as humans do. They use RAG (Retrieval-Augmented Generation).
They look for structured, machine-readable data to substantiate their answers.
If your agency is just “writing blogs,” you are invisible to the LLM.
Real AI SEO requires a technical stack, not just a creative one.
To win in the new search landscape, you don’t need a copywriter. You need:
1. Knowledge Graph Construction:
You need engineers who can map your brand as an Entity, not just a keyword. This ensures the AI understands who you are, not just what you wrote.
2. Schema & JSON-LD Architecture:
This isn’t a WordPress plugin setting. It’s a complex code structure that feeds the AI’s “Context Window” with the exact data it needs to cite you as the source.
3. Python & Data Analysis:
You need specialists to run Python scripts to analyse vector embeddings, ensuring your content mathematically aligns with how AI models retrieve information.
The Hard Truth
If your agency fluffs about being an “AI Expert” but lacks a dedicated team of Systems Engineers and Python Developers, they are just taking your money.
They are optimising for 2015, while Australian businesses are disappearing from the global search results of 2026.
Stop paying for fluff. Start investing in Infrastructure.
— Adriana Kligman Hyperdot AI Agency, Sydney.
FAQs
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) optimizes content and structured data so AI search engines like ChatGPT, Gemini, and Perplexity can understand, retrieve, and cite a brand as a reliable source.
Why is traditional SEO not enough for AI search?
AI search engines use Retrieval-Augmented Generation (RAG) and rely on structured, machine-readable data. Without schema and entity optimization, content may be invisible to AI models.
Do I need engineers for AI SEO?
Yes. AI SEO requires engineers to build knowledge graphs, structured data, and semantic alignment that allow AI systems to correctly interpret and retrieve your content.
How does structured data help AI engines cite my website?
Structured data and JSON-LD clearly define your brand, services, and relationships, making it easier for AI models to trust and reference your content.
Who should invest in GEO and AI Search?
Businesses that rely on digital visibility—such as SaaS, e-commerce, and B2B services—should invest early in GEO to stay visible in AI-generated search results.
