Quick answer: to fact-check an AI-written draft, list every checkable claim (names, numbers, dates, quotes, links, product features, legal or medical statements), verify each against a primary source you opened yourself, delete or rewrite anything you cannot confirm, and then review the metadata, including titles, descriptions and image alt text. Google says it is critical to manually fact-check and review all AI-generated content before publishing.
Fluent text creates a false sense of safety. An AI draft reads smoothly whether or not it is right, and the errors are rarely obvious. Google’s guidance on generative AI explains why: these models do not retrieve facts, they predict a likely sequence of words based on their training data, so the output may contain inaccuracies, often called hallucinations. That is why fact-checking is the step you cannot skip. This guide gives a repeatable process, and it belongs to the wider guide to AI tools for bloggers and creators.
The process below works for drafts written wholly or partly with AI, and it is just as useful for drafts written by hand. Accuracy is a quality standard regardless of how the text was produced.
Why AI Drafts Need a Different Kind of Checking
Human mistakes tend to be local: a typo, a misremembered date. AI mistakes can be invented outright. A model may produce a quote nobody said, cite a study that does not exist, describe a product feature the product lacks, or give a plausible but wrong figure. The surrounding prose sounds just as confident as the correct parts.
Google’s page on helpful content lists, among its expertise questions, whether the content has any easily verified factual errors. The page also says that for topics that could significantly affect people’s lives or well-being, content must be highly accurate and consistent with established expert consensus. That is a high bar, and an unchecked AI draft will not meet it reliably.
Checking therefore means more than a skim: treat every claim as unproven until you have seen it in a source yourself. That may sound slow, but the alternative is publishing something a reader or a search engine may later judge untrustworthy. The earlier post on why the AI niche site gold rush is over makes the same argument from the business side.
Step 1: Highlight Every Checkable Claim
Print the draft or paste it into a document and mark each statement that could be true or false. Do not mark opinions or transitions. Mark the following:
- Names of people, companies, products, laws and organizations.
- Numbers: percentages, prices, dates, counts, measurements.
- Quotes and paraphrases attributed to anyone.
- Claims about what a tool, platform or program can or cannot do.
- Instructions that depend on a specific menu, setting or version.
- Legal, medical, tax or financial statements.
- Every link and every named source.
This list will be long. That is normal, and it is the real size of the job. A claim not worth checking is probably not worth keeping.
Step 2: Use Primary Sources First
A primary source is the organization or document that originally produced the information: the platform’s own help page, the agency’s own guidance, the company’s own terms, the study itself. A blog summarizing it, or another AI answer, is a secondary source. Secondary sources are fine for finding the primary one, but not for settling the question.
Match the claim to the right authority. For how Google Search treats AI content, use Google Search Central. For what the FTC expects about disclosing relationships, use ftc.gov. For how Amazon’s programs work, use Amazon’s help and policy pages. For how a tool behaves, use the vendor’s help center. Open the page, find the sentence, and confirm it says what the draft says. Note the page name in your source log.
Be wary of search summaries and chat answers that sound sourced but are not. Open any source that is named. A source that does not exist, or does not say that, leaves the claim unsupported.
Step 3: Catch the Classic AI Errors
Some errors appear again and again. Look for these specifically:
- Invented quotes: any quotation marks around words you cannot find in the source.
- Phantom sources: a named report, study or article you cannot find.
- Dead or wrong links: URLs that return errors or go to unrelated pages.
- Overconfident absolutes: “always,” “never,” “guaranteed” and “every.”
- Stale facts: prices, features and policies that were true once.
- Blended facts: details from two similar products or programs merged into one.
- Made-up statistics: tidy percentages with no source attached.
Open every link in the draft and confirm it works and supports the sentence it is attached to. Delete any statistic you cannot find in a primary source. A paragraph without a number is better than a paragraph with a fabricated one.
Step 4: Check How Current the Claim Is
Tool features and program rules change often. A draft may describe a policy the way it stood a year ago. For anything time-sensitive, confirm the current version of the page and note the date you checked. Where a detail is likely to change, say so in the post and point readers to the source. This article series does that with Amazon, Google and tool vendors, because those pages are updated regularly.
Also separate what a source says from what it implies. A platform that says creators “may” do something has not guaranteed a result. Keep the verbs as strong as the source, no stronger.
Step 5: Replace or Remove What You Cannot Confirm
Once you have checked a claim, there are three outcomes. Confirmed claims stay, with the source name in the text. Partly right claims get rewritten to match the source exactly. Claims that cannot be confirmed get deleted. Do not leave “probably true” statements in a post. Readers cannot tell which sentences you checked and which you hoped about.
Add the source name where the reader would want it. Google’s helpful content page notes that clear sourcing helps people trust content. Naming the source in the sentence, as in “according to Google Search Central,” lets the reader verify it too. Keep a final source list at the end for longer posts.
Step 6: Review the Metadata and the Images
Google’s generative AI page says the review applies to metadata such as title elements, meta descriptions, structured data and the alternative text of images, which can appear in search results. Where an AI tool wrote those, check them with the same discipline. Does the title promise something the post delivers? Does the description match the content? Does each alt text describe what the image actually shows?
Alt text is an easy place for errors to slip through. A tool can describe an image confidently and wrongly, naming objects that are not there. The separate guide on auditing AI-written alt text covers that audit, and the earlier post on image SEO for bloggers covers file names and compression.
Step 7: Keep a Source Log
A simple log pays off the next time you write on the same topic. Keep a table or spreadsheet with four columns: the claim, the source name, the page address and the date you checked it. When a reader challenges a statement, you can answer in a minute. When a policy changes, you know which posts to update.
The log also supports honesty about process. Google’s helpful content page asks creators to consider “How” content was created, and says sharing details about processes involving automated, AI-generated or AI-assisted content can help readers understand the role automation played. A line such as “drafted with AI assistance and checked against the sources listed” is easy to add if your log shows it is true. For the prompt-side habits that make drafts easier to check, see how to write better prompts for blog outlines.
A Quick Pre-Publish Checklist
- Every name, number, date and quote traced to a primary source you opened.
- Every link opened and confirmed to support its sentence.
- No statistic without a named source.
- No claim stronger than its source.
- Time-sensitive details dated or flagged.
- Title, description, structured data and alt text reviewed.
- Affiliate or sponsorship relationships disclosed near the relevant links.
- A source list or in-text source names present.
A post with any failed item is not ready, however well the paragraph reads.
Worked Examples of Checking a Claim
Three short examples show what the process looks like. They use real, checkable statements so you can try them yourself.
Example one. A draft says, “Google bans AI-generated content.” Highlight it, then open Google’s February 2023 post on AI-generated content. Its FAQ says appropriate use of AI or automation is not against its guidelines, and that generating content primarily to manipulate search rankings is a violation of its spam policies. The draft claim is wrong. Rewrite it: “Google says appropriate use of AI is not against its guidelines, but using automation to manipulate rankings violates its spam policies.” Add the source name in the sentence.
Example two. A draft says, “Amazon pays affiliate commissions within 30 days.” Open Amazon’s Associates Central help page on payments. The page says commissions are paid approximately 60 days after the end of the month in which they were earned, with a $10 minimum for direct deposit and gift certificates. The draft is wrong. Rewrite it with the correct timing and the source, and flag the detail as one Amazon can change.
Example three. A draft says, “Most bloggers who use AI see traffic double within three months.” There is no source, no definition of “most” and no basis for the figure. Search for a primary source; if none exists, delete the sentence. This is a fabricated statistic with a believable shape, which is the most dangerous kind.
Who Should Do the Checking
Ideally someone other than the person who generated the draft, or at least you on a different day. A fresh read catches overconfident phrasing that you skimmed past when you were close to the text. Working alone, wait a few hours, read the post aloud, and check the highlighted claims one at a time, with the source page open in a second window.
Do not delegate the check back to the same tool. Asking an assistant whether its own draft is accurate yields an answer in the same fluent style, with the same blind spots. An assistant can help you find candidate sources or list claims to check, but the confirmation has to come from the source page that you opened and read.
Finally, accept that some topics are not worth publishing if you cannot verify them. A subject that depends on sources you cannot access, or needs professional expertise you do not have, may be better skipped or to cover only the part you can support. Google’s helpful content page asks creators whether they entered a topic area without any real expertise mainly for search traffic, and calls that a warning sign.
One more habit is worth building: when a source contradicts the draft, trust the source and update the draft, even when the draft sounds better. Smooth prose is the easiest thing for an AI tool to produce, and the least reliable signal of truth. The goal of the check is a post that a careful reader could verify line by line without finding a surprise.
Frequently Asked Questions
Can I ask the AI to fact-check itself?
You can ask it to flag claims that need checking, which is useful, but its answer is not verification. Only a source you opened yourself counts.
What counts as a primary source?
The original publisher of the information, such as an agency, a platform’s help page, a company’s official terms or the study itself.
How do I handle a claim I cannot verify?
Delete it or rewrite it so it says only what you can support.
Do I need to check images and alt text?
Yes. Google says to review metadata, including image alt text, along with the body text.
How long should fact-checking take?
As long as the claims require. When the time feels excessive, publish fewer claims, not unchecked ones.