# BLUF (bottom line up front) > BLUF (Bottom Line Up Front) is a writing principle: put the answer or the key point first and add the details after it. - **Check ID:** A9 - **Area:** [AI Readiness](https://be1st.ai/glossary/ai-readiness) - **Tool:** [AI Readiness](https://be1st.ai/tools/ai-readiness) - **Page:** https://be1st.ai/glossary/ai-readiness/bluf-bottom-line-up-front ## Why it matters AI models assign the highest weight to the first paragraphs of a page when generating responses. If key information is buried in the middle or at the end of the text, AI may overlook it and use less relevant information instead. ## In practice Wikipedia uses the BLUF principle on every article: the first paragraph always contains the definition and the most important facts. That's why AI models cite Wikipedia so often: the key information is always at the beginning. ## How be1st checks it Evaluates whether the page presents the key information at the beginning of the content: the BLUF principle. The check measures the first paragraph after the H1: ideally 40-80 words, partially from 20 words. AI models extract answers primarily from the first paragraphs, so placing the main point at the top is critical. [AI Readiness](https://be1st.ai/tools/ai-readiness), Content tab. Every check ends as: Pass, Warning, Fail. ## Sources - [Creating Helpful Content](https://developers.google.com/search/docs/fundamentals/creating-helpful-content) (Google) ## Related terms - [Content structure (lists, tables)](https://be1st.ai/glossary/ai-readiness/content-structure): Content structure is how a page organizes information into lists, tables and other formats that readers and AI models can scan quickly. - [FAQ section on page](https://be1st.ai/glossary/ai-readiness/faq-section-on-page): An FAQ section is a visible block of questions and answers in the content of a page, as opposed to FAQ markup hidden in the code. - [Definitions / glossary patterns](https://be1st.ai/glossary/ai-readiness/definitions-glossary-patterns): Definition patterns are passages that explain terms in a clear form, such as 'Term: definition' or a glossary, which AI models can quote directly. - [Knowledge chunkability & content depth](https://be1st.ai/glossary/ai-readiness/knowledge-chunkability): Chunkability is how well a page splits into self-contained blocks, each answering one question under its own heading, which AI search can retrieve one by one. - [Reference / evidence signals](https://be1st.ai/glossary/ai-readiness/reference-evidence-signals): Evidence signals are the references in a text that back up its claims: links to studies, statistics, named sources and citations. - [Freshness signals](https://be1st.ai/glossary/ai-readiness/freshness-signals): Freshness signals show when content was published or last updated: a visible date, a `