How to Get Cited by ChatGPT and Claude: A Complete Guide
Learn how ChatGPT and Claude select sources for citations. Discover the content structure, entity signals, and optimisation techniques that increase your chances of
CiteFlow Blog
Insights on AI search visibility
Practical writing on AEO, LLMO, citation tracking, and the AI content operations that put websites into the answers.
Automating Content Operations for AEO at Scale
Learn how to automate answer engine optimisation at scale: from content planning and entity extraction to schema deployment and multi-platform publishing.
The Future of Search: Predictions for 2025-2027
Discover expert predictions for how search will evolve between 2025 and 2027, from answer engines replacing traditional results to AI citation becoming the primary
Case Studies: Websites Winning AI Citations in 2025
Real examples of websites earning citations from ChatGPT, Claude, Perplexity, and Google AI Overviews. Learn what structured content, entity-rich writing, and AEO
AEO Strategies Across AI Platforms: ChatGPT, Claude, Perplexity & Google
Compare answer engine optimisation strategies for ChatGPT, Claude, Perplexity, and Google AI Overviews. Learn platform-specific citation requirements and formatting
Entity-Rich Content Writing for AI Systems: A Complete Guide
Learn how to write entity-rich content that AI systems can understand, extract, and cite. Practical techniques for structured entities, context, and relationships.
Measuring ROI from AI Citations: A Data-Driven Framework
Learn how to measure ROI from AI citations across ChatGPT, Claude, Perplexity, and Google AI Overviews using attribution models, conversion tracking, and citation value
AI Citations vs Mentions: Why the Distinction Matters for Visibility
Citations include attribution and links; mentions lack them. Learn why AI citations drive traffic and trust while mentions offer limited value for visibility.
How to Structure Content for Google AI Overviews: A Practical Guide
Learn how to structure content for Google AI Overviews with clear formatting, entity-rich writing, and schema markup that helps Google extract and cite your content.
How does Claude select sources for its answers?
Claude selects sources through retrieval augmented generation (RAG), automatically activating when project content approaches the context window limit. The system uses contextual retrieval and prompt caching to find relevant document chunks, balancing cost, speed, and accuracy while following constitutional safety guidelines.
How Perplexity ranks citations: the mechanics behind answer engine source selection
Perplexity and similar answer engines return chatbot-style responses with inline citations. Behind the interface lies a multi-stage pipeline: hybrid retrieval pulls candidate sources, re-rankers boost precision, and post-processing algorithms correct attribution errors before the answer reaches users.
AI search mechanics
How ChatGPT cites the web: when citations appear and how to verify them
ChatGPT and similar AI assistants cite web sources by retrieving documents and composing answers with attribution links. This guide explains when citations appear, what they mean, and how publishers and readers can verify them.
AI search mechanics
How Google AI Overviews choose which web pages to cite
Google's AI Overviews cite web pages based on semantic relevance, domain authority, freshness, and user signals. Understanding the selection process helps publishers improve their chances of being cited, even if their site is new or lacks established reputation.
Definitions
What is AI citation and why does it matter?
As generative AI tools become routine in research and writing, journals and publishers are establishing rules about disclosure. Understanding what AI citation means, how it differs from traditional citation, and what current standards require is now essential for anyone submitting academic or professional work.
Definitions
What is an answer engine and how does it differ from a search engine?
An answer engine returns a synthesised response to a query rather than a list of pages. WolframAlpha pioneered the model in 2009; today ChatGPT, Perplexity, and Google's AI Overviews all qualify. Understanding how these systems retrieve, rank, and generate answers is now essential for anyone responsible for content discovery.
Definitions
What is GEO (Generative Engine Optimisation)?
Generative Engine Optimisation (GEO) is the practice of structuring digital content so generative AI systems cite, summarise or surface it in their responses. Unlike traditional SEO, which targets search engine rankings, GEO focuses on making content retrievable and interpretable by large language models that synthesise information rather than merely index it.
Definitions
What is LLMO and how does it differ from SEO?
Large Language Model Optimisation (LLMO) treats LLMs as optimisers rather than generators, using iterative prompting to refine solutions without heavy hyperparameter tuning. This article explains how LLMO works, where it succeeds, and how it differs from both classical optimisation methods and Search Engine Optimisation.
Definitions
What is Answer Engine Optimisation (AEO)? A practical guide for AI search and citations
Answer Engine Optimisation (AEO) structures content so AI-powered systems can understand, trust, and cite it as direct answers to user queries. While traditional SEO aims to rank pages for keywords and drive clicks, AEO prioritises being selected and mentioned by answer engines as the authoritative source.
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