In legacy search, a user query was a final destination. The user typed a string of words, and the engine returned pages that contained those exact words. In the generative era, a query is merely a seed.
When a user enters a prompt into ChatGPT, Claude, Perplexity, or Google's AI Overviews, that agent performs an Intent Decomposition, expanding the single prompt into several related searches. As at October 2026, Anthropic's documentation puts this at one to three searches for a simple factual query and ten or more for comparative research.
Google calls this process the Query Fan-out. To be retrieved and cited as the definitive answer in 2026, your content must satisfy the expanded requirements of the machine, not just the explicit words of the human.
The Deconstruction of Prompt Intent
Consider a relatively simple user query: "Best enterprise CRM for fintech."
In traditional SEO, you would create a page titled "The Best Enterprise CRM for Fintech." In 2026, the AI agent "fans out" that query into one or more search queries, then keeps searching as it reads the results. It asks itself:
2. Does the entity offer documented API integration with banking ledgers?
3. What is the verified user sentiment among fintech CTOs in the last 6 months?
4. How does the entity's pricing scale compared to legacy providers?
5. Are there verified, third-party case studies involving transaction data?
The machine is actively looking for Latent Proof Points. If your content only answers the surface intent, the agent will bypass your site and retrieve a competitor who provides the granular, structured data required to satisfy its internal reasoning chain.
Methodology: Reverse-Engineering Expansion
How do we ensure Minilab clients capture the entire fan-out cloud? We engineer the data.
We run variations of your target queries through different LLMs and log the search queries each one issues, to identify the consistent "hidden questions" behind the prompt.
We execute Vector Payload Engineering (VPE). We write the answers to these hidden questions directly into your visible page content, backed by structured data that matches the text. Google states no special markup is required for its AI features, so the content does the work.
We monitor how often your brand entity appears in the generated AI responses, continually adjusting your facts to become the dominant source in the Fan-out cloud.