Expert Quotes for AI Search: What Actually Earns Citations (and What's Fabrication)
Real, attributed expert quotes measurably raise AI citation rates. Here's the research, the sourcing process, and the line into fabrication.
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Original Research for AI Citations: How to Choose Questions Worth Publishing
Most "original research" is a vanity survey AI models ignore. Here's how to pick questions that earn citations — and the disclosure that makes them trustworthy.
How to Out-Cite Competitors in AI Answers, Prompt by Prompt
A step-by-step method for running identical prompts against your brand and named rivals, then tracing which content patterns actually win each citation.
Perplexity's Retrieval Pipeline: A Single-Engine GEO Deep Dive
How Perplexity actually retrieves the live web, how PerplexityBot and Perplexity-User differ, and what's documented (and disputed) about its citations.
The AI Citation Audit Template: A Repeatable Method for Tracking What ChatGPT, Perplexity, and AI Overviews Actually Cite
A step-by-step audit template for tracking which pages, mentions, and sources get cited across AI answer engines — and rerunning it.
The Copy-Paste Test: Editing for AI Extraction
A practical editing heuristic for GEO: if a paragraph can't stand alone when pasted elsewhere, AI answer engines can't extract or cite it cleanly.
Schema Markup and AI Citations: What the Evidence Shows
A data-backed look at schema.org markup and AI search: what's proven, what's marketing, and when structured data is still worth your engineering time.
Statistics vs. Quotes vs. Definitions: What AI Actually Cites
Not every factual claim survives being lifted into an AI answer. Here's what research shows about how statistics, quotes, definitions, and comparisons get extracted — and cited.
