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RAG

4 posts

Testing whether AI answer engines retrieve and cite your content using engine APIs and a RAG evaluation harness
SEO

API testing SEO citations in RAG frameworks

AI answer engines are RAG systems, so testing whether they cite you is a retrieval problem. Here is how to test SEO citations via engine APIs and a local RAG harness.

·10 min
Perplexity fabricating a wrong fact about a brand because it lacked a clear authoritative source, fixed by grounding sources
AI search

why does perplexity hallucinate facts about my brand

Perplexity hallucinates facts about your brand when it lacks clear, authoritative, current sources to ground on. Good sources cut fabrication.

·11 min
How Perplexity's ranking pipeline retrieves, reranks, and synthesizes a cited answer from candidate sources
AI search

How does Perplexity's ranking algorithm work

Perplexity does not rank links, it retrieves, reranks, and synthesizes a cited answer. Here is how its pipeline works and how to optimize to be a cited source.

·10 min
How to write RAG-friendly content: answer-first, chunkable, question-shaped, self-contained passages for answer engines
Content strategy

How to write RAG-friendly content for Answer Engines

Answer engines retrieve and lift passages, not whole pages. Here is how to write RAG-friendly content: answer-first, chunkable, question-shaped, and self-contained, so AI can cite you.

·10 min