How to Fact-Check AI Writing: A Practical Review Guide

Fact-checking AI writing means verifying its claims against evidence outside the draft. Confident wording, a realistic-looking citation, and a low AI detection score do not make a statement true. Check the content whether it was written by a person, generated by a model, or revised with both.

The most useful outcome is a draft whose important claims you can explain and support. Keep a record of corrections so later edits do not bring the same mistakes back.

1. List the claims that need evidence

Read the entire draft before publishing or submitting it. Mark names, dates, job titles, quotations, statistics, comparisons, causal claims, and descriptions of current products or policies. Separate factual assertions from clearly identified opinion or interpretation.

Prioritize claims that carry the argument or could materially affect a reader's decision. A minor wording change may need an edit; an unsupported central claim may require rewriting the whole paragraph.

2. Find the original source

Open the source rather than relying on the draft's description or a search snippet. For product behavior, start with the provider's documentation. For a study, find the research paper and read its methods and limitations. For a quoted policy, read the institution's actual policy.

Check whether the cited page really exists and whether its author, title, publication details, and link match the citation. Then locate the exact passage supporting the claim. A real citation can still be irrelevant or misrepresented.

3. Check scope, date, and context

Ask who or what was studied, where, when, and under which conditions. A small survey of one group does not establish how everyone behaves. A historical software test does not guarantee the performance of a current version.

Check whether the evidence supports a causal statement or only an association. Look for important qualifications removed by the draft, such as a limited sample, an estimated value, or an unresolved result. Use additional reliable sources to investigate disagreements rather than counting repeated versions of the same claim as independent confirmation.

4. Verify numbers and quotations

Recalculate percentages, totals, and unit conversions. Distinguish percentage-point changes from relative percentage changes. In a hypothetical example, an increase from 30% to 60% is 30 percentage points and a 100% relative increase; those descriptions are not interchangeable.

Compare quotations word for word with the original and preserve their meaning. If the wording is a paraphrase, remove quotation marks and cite the underlying idea accurately. Do not repair a missing source by inventing a plausible title or author.

5. Correct or remove unsupported material

For each disputed claim, record the source, the relevant passage, the correction, and the review date. If evidence is unavailable, remove the claim, narrow it, or clearly identify the uncertainty. Follow the citation style required by the assignment or publication.

After editing, read the surrounding paragraphs again. Changing a number or qualification can alter the conclusion. A humanizer or other rewriting tool can also change meaning, so source-check the final wording as well as the initial draft.

Keep fact-checking separate from AI detection

The AI Detect tool provides a detection signal and reading-difficulty measures. It does not verify a reference or certify truth. Our detector definition guide explains those boundaries.

Using AI assistance does not by itself establish a Google ranking violation. Google's guidance emphasizes accuracy, quality, relevance, and useful content. Passing an AI detector is not a substitute for those requirements.

A final review checklist

• Every central factual claim has relevant support.
• Citations exist and lead to the evidence described.
• Quotations, calculations, dates, and units match their sources.
• Limitations and uncertainty remain visible.
• The final draft follows the applicable disclosure and citation requirements.

If you cannot explain a claim's evidence, keep reviewing it before relying on it.