What are the best AI prompts for summarizing documents?

The best summarization prompts put the document first, ask the model to quote the relevant passages before summarizing, and name the audience and length. Then spot-check the summary against the source, because even summarization-only models invent details in a measurable share of summaries.

Where should the document go in a summarization prompt?

Above your instructions. Anthropic advises placing long documents near the top of the prompt and the query at the end, and reports that queries at the end can improve response quality by up to 30 percent in its tests, especially with complex, multi-document inputs.

Do AI summaries contain made-up facts?

Yes. Vectara runs a public leaderboard that tests how often models add unsupported content when summarizing short documents. As of its 2026-10-22 update, rates ranged from 1.8% for the best model to 24.2% for the worst, so verify names, numbers and dates against the source.

Best AI Prompts for Summarizing Documents (2026)

Best AI prompts for summarizing documents#

5 AI summarization prompts to copy and adapt#

Full briefResearch analyst

Act as a research analyst. Below is [PASTE YOUR DOCUMENT]. First extract the five passages most relevant to a decision-maker, quoted exactly. Then write a 150-word summary for [DESCRIBE THE READER] using only those quotes, and list anything the document does not say that the reader would expect it to.

Advanced

Summarize [PASTE YOUR REPORT] in three layers: one sentence, one paragraph, and a bulleted list of every figure with its page or section. Mark any figure you are not certain you copied correctly.

AdvancedContracts paralegal

Act as a contracts paralegal. From [PASTE YOUR CONTRACT], list the parties, term, payment terms, termination rights and liability limits, each with the clause number and a direct quote. Write "not found" for any item the text does not contain.

SpecializedPeer reviewer

Act as a peer reviewer. Summarize [PASTE YOUR PAPER] as: question, method, sample size, main result, stated limitations. Quote the sentence supporting each part and flag claims the data does not support.

Specialized

Compare [PASTE DOCUMENT A] and [PASTE DOCUMENT B]. Give a table of points where they agree, disagree or only one speaks, with a short quote from each. Do not infer positions a document does not state.

How to prompt AI to summarize a long document: what to add#

The reader and the decision the summary supports, not just "summarize".
The length and shape: word count, layers, bullets or a table.
A rule to quote before summarizing, and to write "not found" instead of guessing.
The document placed above the instructions, with several documents labelled and separated.

Limits of this guide#

Anthropic's guide says to place long documents above the query and to ask the model to quote relevant parts first, which helps it focus on the right content. That is advice about how to ask, not proof that a given prompt prevents errors.

Vectara's leaderboard tests a narrow task: summarizing short passages, graded by its own HHEM-2.3 model. Rates on long, messy documents may be higher; we could not find a comparable public benchmark for them. Our analysis: treat every summary as a draft that needs a source check.

Sources & Further Reading#

Every source below was fetched on 2026-10-26.

Claim	Source	Section or date
Put long documents at the top; queries at the end can improve quality by up to 30 percent	Prompting best practices (Anthropic)	Long context prompting; undated
Ask the model to quote relevant parts before the task	Prompting best practices (Anthropic)	Ground responses in quotes; undated
Summarization hallucination rates of 1.8% to 24.2%, graded by HHEM-2.3	Hallucination Leaderboard (Vectara)	Last updated October 22, 2026