aicited.hu

Articles

Guides and analysis on aicited.hu

Twelve in-depth articles by Zoltán Varga. Each one answers a single question, starting with the short answer.

Explainer

What Makes a Page Citable for AI Answer Engines

Citation depends on text structure, not just domain reputation.

Guide

How to Write an Answer Paragraph AI Can Quote

A practical guide to structuring text for AI citation using answer-first patterns and claim-level sourcing.

Guide

Writing Paragraphs That Survive Being Quoted Out of Context

A practical guide to structuring text so AI models can lift passages without distorting their meaning.

Guide

Claim-Level Sourcing: Anchoring Every Number to a Source

Adding numbers without sources fails; anchoring every statistic to a verifiable origin is the key to being cited by generative engines.

Analysis

Thought Leadership, FAQ, or Structured Pages: Which Format Wins AI Citations?

No single format dominates; AI citation success depends on matching content structure to specific user query intent.

Checklist

Citability Checklist: Text-Level Checks for One Page

A practical guide to verifying if your content meets the structural and textual requirements for AI extraction and citation.

Guide

FAQ Sections That AI Systems Actually Quote

Structure your questions to match user prompts and build citable answer blocks.

Concept

Citability Vocabulary: Answer Units, Anchors, and Quotable Claims

A precise glossary for the AI era: understanding the structural elements that allow models to extract and cite your expertise without distortion.

Pattern

Original Research as a Citation Anchor: The Data-Page Pattern

Publishing primary data with persistent identifiers creates a stable anchor that AI systems reconstruct as the canonical source for downstream answers.

Guide

Expertise Signals in the Text: Author, Experience, Evidence

Template badges fail; true authority lives in the sentence structure where models extract claims.

Q&A

Citability FAQ: Length, Tone, Links, and Update Frequency

Practical answers to the most common questions about making text citable by large language models.