Verify AI-Written Facts Before Publishing: Source Ledger

verify ai generated statistics before publishing

How to Verify AI-Written Facts Before You Publish: A Source Ledger Method, Tested on a Real Conflict

Quick answer

To verify AI-written facts, split the draft into single claims, find the strongest primary source for each, record the source and date in a ledger, and label every claim Verified, Hedge, Conflict open, Stale or Unsupported. Publish only verified claims as fact, hedge the rest, and hold anything unresolved.

How I tested this. I ran the method on a claim set where sources disagree: Gumroad’s seller fees. I read Gumroad’s own help article, compared it with blog and competitor summaries, and recorded every conflict in the ledger below. The live Gumroad page loaded only partly for me, and I say where that limits a result.
In this guide
  1. Why AI drafts need verification
  2. The five-step ledger method
  3. Ranking your sources
  4. Worked example: Gumroad fees
  5. Using AI to help verify
  6. Common mistakes
  7. FAQ
Key takeaways
  • Check the claims that carry weight first: numbers, dates, rules, quotes, and anything about money, health or law
  • Even a company’s own pages can disagree. In my example, a pricing page, a help article and its snapshots told different stories
  • A conflict you can’t resolve is a result. Publish a hedged sentence or hold the claim
  • Record the date you checked. Facts that were right last year can be wrong today

Why do AI drafts need a verification step?

AI tools write fluent text whether or not the underlying fact is right. They can state outdated figures, blend conflicting sources into one confident sentence, or name a source that doesn’t say what they claim. Fiverr’s own AI guidelines list “AI-generated hallucinations” among the quality problems it reviews in disputes, which shows how seriously platforms treat the issue.

For a publisher the risk is practical. A wrong fee, rule or date misleads readers, damages trust and weakens your case for search and AdSense quality. Verification isn’t an extra. It’s the part of the work a chatbot can’t do for you.

What is the five-step source ledger method?

A source ledger is a simple table with one row per claim. It forces you to write down where each fact comes from and how sure you are.

  1. Extract claims. Split the draft into single-fact statements. “Gumroad charges 10% + $0.50 and includes processing” is two claims. Separate them.
  2. Classify each claim. Number, date, rule, quote, comparison or opinion. Numbers, dates and rules need primary sources. Opinions need none.
  3. Find the strongest source. Start with the company, regulator or original document. Use the tiers below.
  4. Record evidence. Note the link, the date you checked, and whether the source supports, contradicts or only repeats the claim.
  5. Assign a status and wording. Choose one of the five labels and write the sentence you can safely publish.

The five status labels

StatusMeaningWhat to publish
VerifiedA primary source states it, and you checked it on a stated dateState it as fact, with the date
HedgeOnly secondary sources, or a figure that varies by situationSay “reported” or “about”, and name the variable
Conflict openCredible sources disagree and you can’t settle itHold, or tell readers to check the current page
StaleThe source is old or was supersededDon’t use it
UnsupportedNo source found, or the AI cited one that doesn’t say itCut it

Which sources should you trust most?

TierSource typeWatch for
1The primary document: a company’s own help or policy page, a regulator, the original studySnapshots and cached copies may differ from the live page
2Independent reporting or analysis that links the primary sourceCheck that it quotes the current version
3Competitor or vendor blogsThey benefit from a particular reading
4Aggregators, forums and AI answersOften repeat each other, which looks like agreement but isn’t

Ten pages repeating one claim aren’t ten confirmations. Count independent sources, not copies.

Worked example: do Gumroad’s fees include card processing?

This is a real claim set from an article I was writing. It looks simple: “Gumroad takes 10% + $0.50 per direct sale.” Here is what happened when I put each claim in the ledger.

#ClaimWhat I foundStatusSafe wording
1Gumroad charges 10% + $0.50 on direct salesGumroad’s own help article states it. Third-party guides agreeVerifiedGumroad lists 10% + $0.50 per direct sale (help article, checked Oct 2026)
2That fee includes card processingThe help article says it does not include credit card processing or PayPal fees. Some sources describe the pricing page’s headline as if it were all-inVerified: it does notCard processing is charged on top of the 10% + $0.50
3Processing adds 2.9% + $0.30One version of the help article lists that amount. The live page text I fetched showed only the headline. Other sources use standard Stripe ratesHedgeCard processing is about 2.9% + $0.30 for typical US cards and varies
4Discover sales cost 30% with processing includedHelp article snapshots say a flat 30%, including all processingVerifiedSales through Gumroad’s marketplace carry a flat 30%, processing included
5Gumroad refunds none of its fees on refundsTwo versions of the same help article disagree (details below)Conflict openCheck Gumroad’s current refund wording before relying on it
6Gumroad charges 5% + $0.25An article the search index lists as about three years old says so. Current sources say 10% + $0.50StaleDon’t use
7Gumroad has been the merchant of record since January 2025Third-party guides say so. I did not open a primary Gumroad source for itHedgeReported to have been merchant of record since January 2025

The refund conflict, in detail

Claim 5 is the most instructive. One version of Gumroad’s fee article says it doesn’t refund any fees when processing refunds. Another version of the same article says Gumroad returns its own fee on the refunded portion and keeps only the payment-processing portion, because processors don’t return that. A competitor review and a blog both repeat the first version as if it were current. The live page text didn’t load for me, so I couldn’t tell which version is live.

That is an unresolved conflict, so the ledger says: don’t publish a flat claim. The honest sentence is the one in the table.

Three lessons from the example. First, the pricing page headline and the help article didn’t tell the same story, so “the company’s own page” is not always one source. Second, old articles keep repeating figures long after they changed. Third, a disagreement between sources is information you should show readers, not hide.

How can AI help without making things up?

Use AI for the tedious parts of verification and keep the judgment yourself. It is good at extracting claims and comparing text you supply. It is unreliable at remembering facts or producing links, so open every link it gives you.

Prompt 1: extract claimsList every factual claim in the text below as a numbered table with columns: ID, claim (one fact only), type (number, date, rule, quote, comparison, opinion). Do not judge accuracy yet.
Prompt 2: compare with sources I supplyBelow are claims and source excerpts. For each claim, say Supported, Contradicted or Not covered, and quote the exact words (under 15) that support your answer. If the sources conflict, say so. Do not use outside knowledge and do not invent links.
Prompt 3: write safe wordingFor each claim marked Hedge or Conflict open, write one sentence a careful publisher could use. Keep the uncertainty in the sentence and name what the reader should check.

If you use Claude, the downloadable claim ledger builder skill packages these steps so you can run them with one request. Read the file before you install it.

What mistakes break verification?

  • Treating repetition as confirmation. Ten blogs copying one number are one source.
  • Skipping the date. Without a “checked on” date, you can’t tell stale from current.
  • Verifying only the easy claims. Check the numbers and rules first, because those are what readers act on.
  • Hiding conflict. A hedged sentence with a pointer to the source is more credible than false certainty.
  • Trusting AI-provided links. Open each one and confirm it says what the AI says it does.
Publish-or-hold checklist

FAQ

How do I verify AI-generated statistics?
Find the original study or official dataset, open it, and confirm the number, the year and what was measured. If you can’t find the original, treat the figure as unsupported and cut it or hedge it.
Can I ask AI to fact-check itself?
Only as a helper. Give it the sources and ask it to compare, quoting the supporting words. Don’t rely on its memory, and open every link, because AI can produce sources that don’t say what it claims.
What counts as a primary source?
The document that originates the fact: a company’s own policy or help page, a regulator’s notice, a court ruling, or the original study. Articles that summarise them are secondary.
What if two official pages disagree?
Record both, note the dates and versions, and publish a hedged statement. In my example, one company’s pricing page and help article described the same fee differently.
How long should verification take?
Spend the most time on the few claims readers will act on, such as prices, rules and dates. Opinions and widely documented background facts need far less checking.
How often should I re-check published facts?
Re-check fast-changing facts such as fees, policies and prices at least quarterly, and show a last-checked date on the page so readers know how fresh it is.
Should I tell readers when I couldn’t verify something?
Yes, briefly and neutrally. A short note saying which part you couldn’t confirm builds more trust than a confident claim that later proves wrong.

Where to start

Take your next draft, pull out the ten claims readers are most likely to act on, and put them in the ledger. Fix those first. Even that small step catches the errors that do the most damage.

Sources used in the worked example
Gumroad Help Center: Gumroad’s fees · Cartmango: Gumroad pricing · Fungies: Gumroad alternatives (competitor) · Checkout Page: Gumroad fees · WalletMinded (older article) · Fiverr Help Center: Using AI on Fiverr. Fees and policies change; this example reflects what was visible on October 11, 2026. General information, not legal or financial advice.

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