Knowledge cutoff

What happens to information published after a knowledge cutoff?#

Information published after a knowledge cutoff is absent from the model’s built-in knowledge, so it reaches an AI answer only when the engine runs a web search and retrieves a page containing it; without a search, the model answers from older data or guesses.

Vendors say this plainly. Anthropic describes web search as the way Claude answers “with up-to-date information beyond its knowledge cutoff,” and lists what triggers a search: recent events, current prices and “information about specific organizations, people, or products that might have changed” (Anthropic). Stable, general questions are answered from memory.

1. 1

   A buyer asks about your product

   “Does Plannora have a Slack integration?” The integration launched after the model’s cutoff.

2. 2

   The engine decides whether to search

   Product-specific and time-sensitive questions usually trigger a search. Independent tests found ChatGPT and Claude searched on roughly a third of all prompts.

   Your lever: Target the questions that trigger search — they’re where a new fact can win this month.

3. 3

   If it searches, retrieval finds a page — or doesn't

   The new fact reaches the answer only if a crawlable, indexed page states it clearly. See retrieval-augmented generation.

   Your lever: Publish the fact on a clearly titled, server-rendered page, linked from pages that already rank.

4. 4

   If it doesn't search, the model answers from memory

   It may say the integration doesn’t exist, or guess — an AI hallucination built on stale training data.

How do you find a model's knowledge cutoff?#

Find a model’s knowledge cutoff in the vendor’s model documentation — OpenAI lists a cutoff for each API model and Anthropic lists two dates per model — rather than by asking the chatbot, whose description of its own training is generated text like any other answer.

OpenAI’s model comparison page shows a “Knowledge Cutoff” for every API model. Anthropic’s models overview lists a reliable knowledge cutoff — “the date through which the model’s knowledge is most extensive and reliable” — next to a broader training data cutoff. For one model on that list as of September 2026, Claude Haiku 4.5, the two dates are five months apart: February and July 2025.

Even the published date is approximate. A 2024 study, Dated Data, found that “effective cutoffs often differ from reported cutoffs,” in part because new web crawls contain a lot of old pages. The two-date convention reflects the same reality: the last months before a training cutoff are thinly covered, likely because the web hadn’t finished writing about them when the data was collected.

Knowledge cutoff vs real-time search: what's the difference?#

The knowledge cutoff limits what a model remembers, while real-time search fetches current pages at answer time — so the same engine can be months out of date in one answer and current to the day in the next, depending on whether it searched.

When engines do search, they lean hard on freshness. Claude added the current year to 94% of its search queries in Profound’s 2026 test, Perplexity filters stale pages before ranking, and Ahrefs found ChatGPT’s citations run hundreds of days newer than Google’s organic results. A visible, honest updated date is how a page tells the engine it knows something the model doesn’t. See content freshness.

How do you get new information into AI answers after the cutoff?#

Get new information into AI answers after the knowledge cutoff by publishing it where retrieval looks: an official, clearly titled, server-rendered page for each new fact, indexed in Google and Bing, linked from your existing pages, and repeated in places engines cite, such as review sites and forums.

1. Update the page that already ranks before creating a new one. Since August 2026 most ChatGPT fan-out searches use site: to check specific domains, often the vendor’s own — and a site: search for pricing lands on a pricing page, not a press release.
2. Title for the question. “Plannora Slack integration” beats “Big news from the Plannora team.”
3. Get recrawled quickly. Submit sitemaps to Google Search Console and Bing Webmaster Tools, and ping Bing with IndexNow — Bing is one of ChatGPT’s named search providers.
4. Retire the old fact everywhere you control — old blog posts, help docs, comparison pages — so retrieval doesn’t find two versions.
5. Repeat it where engines look. Update review profiles and directories, and answer relevant community threads. See brand mentions.

Related terms#

• How LLMs answerLLM training dataThe body of text — web crawls, books, code, licensed and forum content — that a language model learns from before release, and it shapes what the model says about a brand without searching, in a way that can’t be edited until the next model is trained.Read the entry
• LLMHow LLMs answerLarge language modelA neural network trained on vast amounts of text to predict the next word, which lets it write fluent answers — the technology behind ChatGPT, Claude and Gemini, whose knowledge is fixed at training time unless it retrieves fresh sources.Read the entry
• Content & relevanceContent freshnessHow recently a page was substantively created or updated, which search engines weigh for time-sensitive queries and most AI answer engines appear to weigh even more — the pages they cite are measurably newer than classic search results.Read the entry
• RAGHow LLMs answerRetrieval-augmented generationA technique in which an AI system first retrieves relevant documents from an index and then gives them to a large language model to write its answer, so the response can cite current sources instead of relying only on what the model memorized in training.Read the entry
• How LLMs answerAI hallucinationA confident but false statement produced by a large language model — an invented statistic, feature, price or citation — which happens because the model generates plausible text rather than looking facts up.Read the entry
• Technical SEOIndexNowAn open protocol that lets a website notify participating search engines, led by Microsoft Bing, the moment a URL is added, updated or deleted, instead of waiting to be recrawled — Google does not use it.Read the entry