> ## Documentation Index
> Fetch the complete documentation index at: https://wiki.platelunchcollective.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Hallucination Mitigation

> Hallucination mitigation is the set of techniques used to reduce the frequency of AI-generated outputs that present false, fabricated, or unverifiable inform...

*Technical implementation* · *AI Search Infrastructure*

## Definition

Hallucination mitigation is the set of techniques used to reduce the frequency of AI-generated outputs that present false, fabricated, or unverifiable information as fact. Approaches include retrieval-augmented generation, fine-tuning on verified data, output filtering, and citation requirements.

## Why It Matters for AI Search

Hallucination mitigation is why structured, well-sourced content matters. AI systems designed to minimize hallucination are biased toward content that is verifiable, consistent across sources, and explicitly attributed. A brand with clean entity data, corroborated claims, and structured markup is a safer citation source — which means it gets cited more often as AI platforms tighten their grounding requirements.

## Related Terms

<CardGroup cols={2}>
  <Card title="Grounding" href="/ai-search-glossary/grounding" />

  <Card title="RAG" href="/ai-search-glossary/rag" />

  <Card title="Inference" href="/ai-search-glossary/inference" />

  <Card title="Source credibility" href="/ai-search-glossary/source-credibility" />

  <Card title="Context sufficiency" href="/ai-search-glossary/context-sufficiency" />
</CardGroup>

## Relevant Plate Lunch Collective Services

[Entity SEO](https://www.platelunchcollective.com/services/entity-seo)  [Citation-Ready Content](https://www.platelunchcollective.com/services/citation-ready-content)