# Update freshness

> Update freshness is how current the information AI models give about your brand is, for example whether they know your latest products and changes.

- **Area:** [AI Visibility](https://be1st.ai/glossary/ai-visibility)
- **Related tool:** [AI Visibility](https://be1st.ai/tools/ai-visibility)
- **Page:** https://be1st.ai/glossary/ai-visibility/update-freshness

## Why it matters

AI models have training data with a certain delay (knowledge cutoff). If you recently changed your offering, opened a new location, or launched a new product, AI may not know about it. Regular content updates on the website, in structured data, and on authoritative sources (Wikipedia, LinkedIn, Google Business Profile) help AI models maintain current information.

## In practice

A restaurant expanded its menu with vegetarian dishes in 2025 and opened a new location downtown. However, AI still references only the old menu and the single original location. Update freshness is low. Solution: update the website, add LocalBusiness schema for the new location, publish a press release, and update the Google Business Profile listing. Within 2-4 months, AI models will register the changes.

## Related be1st tool

Update freshness describes how current the information is that AI models state about your brand: whether they know your latest products, services, changes in your offering, new locations or current pricing. Outdated information means the model lacks fresh data or that your current information is not visible enough on the web.

be1st does not score this as a separate metric. The closest data comes from AI Visibility.

[AI Visibility](https://be1st.ai/tools/ai-visibility).

## Sources

- [Google Search - AI features and your website](https://developers.google.com/search/docs/appearance/ai-features) (Google)
- [A 90-day SEO playbook for AI-driven search visibility](https://searchengineland.com/a-90-day-seo-playbook-for-ai-driven-search-visibility-466751) (Search Engine Land)
- [LLM Visibility: What It Is and How to Optimize for It](https://ahrefs.com/blog/llm-visibility/) (Ahrefs)

## Related terms

- [Structured data](https://be1st.ai/glossary/seo/structured-data): Structured data is machine-readable markup, usually JSON-LD with the Schema.org vocabulary, that says what a page contains: a product, an article, a company or an event.
- [Knowledge level](https://be1st.ai/glossary/ai-visibility/knowledge-level): Knowledge level is how much an AI model knows about your domain and brand when asked directly, from nothing at all to a complete and correct profile.
- [Brand mention rate](https://be1st.ai/glossary/ai-visibility/brand-mention-rate): Brand mention rate is the share of relevant AI answers that name your brand, expressed as a percentage.
- [Link presence](https://be1st.ai/glossary/ai-visibility/link-presence): Link presence is whether an AI model's answer includes a direct link to your website that the reader can click.
- [Confidence score](https://be1st.ai/glossary/ai-visibility/confidence-score): Confidence score is how certain an AI model sounds when it talks about your brand, from hedged guesses to clear statements.
- [Reputation sentiment](https://be1st.ai/glossary/ai-visibility/reputation-sentiment): Reputation sentiment is the tone in which AI models describe your brand: positive, neutral or negative.