> ## 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.

# Freshness Weighting

> Freshness weighting is the degree to which a platform's retrieval system favors recently published or updated content over older content.

*Core concept* · *AI Search Infrastructure*

## Definition

Freshness weighting is the degree to which a platform's retrieval system favors recently published or updated content over older content with otherwise similar relevance scores. The weighting varies significantly across platforms.

## Why It Matters for AI Search

The platform difference is operationally significant: ChatGPT-cited URLs average 393–458 days newer than organic Google results for the same queries. Perplexity also exhibits strong freshness preference. Google [AI Overviews](https://www.platelunchcollective.com/services/answer-engine-optimization) do not — average cited content age on AIO is approximately 1,432 days, nearly identical to traditional organic results. For brands deciding where to invest publishing resources for AI citation, freshness weighting tells you which platforms reward it and which do not.

## Related Terms

<CardGroup cols={2}>
  <Card title="Freshness signal" href="/ai-search-glossary/freshness-signal" />

  <Card title="OAI-SearchBot" href="/ai-search-glossary/oai-searchbot" />

  <Card title="PerplexityBot" href="/ai-search-glossary/perplexitybot" />

  <Card title="Content velocity" href="/ai-search-glossary/content-velocity" />

  <Card title="Training cutoff" href="/ai-search-glossary/training-cutoff" />
</CardGroup>

## Relevant Plate Lunch Collective Services

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