Fact checking software for content marketers: sources, stats and old posts
Most fact checking software for content marketers checks a draft once. This guide gives the workflow around it: a statistics rule, a copyable checklist, a citation log and a way to catch old posts that quietly went wrong.
Key takeaways
- Content marketing goes wrong in a few predictable places: statistics roundups, copied numbers, comparison and pricing pages, and AI-drafted posts.
- A simple rule beats most tools: trace every statistic to its primary source and year, and log it.
- Tools check a draft once. Veritas also re-checks published posts and flags claims that went out of date.
Content marketers publish more claims than almost anyone: statistics in roundups, features and prices on comparison pages, results in customer stories, and now text drafted with AI. Each one is a chance to be wrong in public, and a chance for a sales rep to be asked about a number that has changed.
This guide covers where content marketing goes wrong, a workflow you can start with a spreadsheet, what Google and the FTC say that bears on it, what checking tools do and don't do, and where Veritas fits. Sources are named pages, checked on 1 November 2026.
Where content marketing goes wrong
Some content types collect errors faster than others:
"X statistics for 2026" posts quote dozens of figures, often copied from other roundups instead of the original study.
A figure that was right in 2021 reads as current in 2026.
The year in the title moves; the picks may not have been rechecked.
Competitors change plans and prices. An interviewee quoted by the Content Marketing Institute (CMI) in August 2026 warned that AI search will cite your 2021 pricing page right next to your current one, and the reader can't tell which you still stand behind.
Percentages and time savings need a source you can show.
Models can produce plausible but wrong statements, and Google says to check all AI-generated content before publishing.
The statistics rule: primary source, plus year
One habit removes most statistics errors. CMI's checklist puts it plainly: "Seek the primary source even if someone else is quoted saying it."
Open the study, report or statistics release, not the blog quoting it.
Check the sample, the population and the year before you reuse a number.
CMI's checklist adds ensuring the figures are the latest available and doing the math yourself.
"In 2024, X found..." ages better than "studies show...".
One vendor guide puts it directly: if you cannot locate the primary source after a reasonable search, do not publish the specific claim.
CMI advises tagging moment-in-time studies and revisiting content with those tags at least annually.
A pre-publish checklist you can copy
Run this on every post, whoever or whatever drafted it:
- Every number links to its original source, with the year in the text.
- Names, job titles and company names are current and spelled correctly.
- Quotes are confirmed with the person or the original document.
- Superlatives (first, largest, only, best) have a source or are removed.
- Competitor features and prices match the competitor's own page, with the date you checked.
- Customer-result claims match a result you can show.
- Every link opens and says what the sentence says it does.
- The title, meta description and image alt text were checked too.
- The checked date and an owner for the next review are recorded.
Which source to use for which claim
Different claims have different best sources. Use the one nearest the facts:
The original study or statistics release, with its year, not a blog or roundup quoting it.
The competitor's own pricing or documentation page, with the date you looked.
The person, or a transcript or recording of what was said.
The organiser, regulator or company announcement.
The publisher of the ranking, for the right year.
Your own records, which you can show if challenged.
If two sources disagree, prefer the original publisher, note the year and method, and say in the text which one you used.
Keep a citation log
A log turns "where did that number come from?" from a hunt into a lookup. A shared spreadsheet is enough. Record, for every claim you publish:
The sentence as published, with the post URL.
The original page, the publisher and the year.
The date you confirmed it and who did.
Statistic, price, feature, quote, result or date. It tells you how fast it ages.
When to look again. Prices and feature claims need short intervals; stable facts can wait a year.
Brief freelancers and AI with sourcing rules
Most errors enter before an editor sees the draft. Put the rules in the brief so they apply to freelancers and to AI-assisted drafts alike:
With the year, in a comment on the draft.
Unless the original is linked and checked.
Instead of smoothing it over.
Google's guidance says it is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing, and that the review also covers titles, meta descriptions, structured data and alt text.
See which facts on your site have gone out of date.
Request early accessWhat Google and the FTC say that applies
Google's helpful-content self-assessment asks: "Does the content have any easily-verified factual errors?"
It also asks whether you are mainly summarising what others have to say without adding much value.
It asks whether you are changing page dates to make content seem fresh when it has not substantially changed.
Google's page on AI content says generating many pages without adding value for users may violate its spam policy on scaled content abuse.
The FTC's small-business advertising guidance says advertisers must have evidence to back up their claims, and that before running an ad a company needs a reasonable basis for it. It adds that advertising agencies have a duty to make an independent check on the information used to substantiate claims.
The FTC guidance is written for advertisers and their agencies. Whether a given comparison or results claim on your blog counts as advertising is a question for your counsel.
Refreshing old posts that still drive leads
Old posts that rank are often your best lead source and your biggest risk. Two respected guides agree on the basic move and differ on one detail.
HubSpot's guide says to replace outdated data and statistics with fresher ones, keep the URL, and add an editor's note. CMI suggests a fixed review rhythm, at least annually for dated stats.
HubSpot says to update the post's date when you republish. Google warns against changing dates to seem fresh when the content hasn't substantially changed.
Change the visible date only when the facts or substance changed, and say what changed in the editor's note.
Do the fact work first, then the date. A list of the specific claims that went out of date is what makes the new date honest.
Where checking tools fit, and where they stop
Tools can speed up the checklist, but they work on one draft at a time.
Its help page says it highlights statements that appear factual or specific enough to warrant checking, and that highlights do not necessarily mean the information is incorrect.
One Chrome extension we found lets you highlight a sentence and check it. It had no ratings when we looked, so judge it on your own samples.
Some agencies publish scripts for checking claims with AI. Their example numbers are unconfirmed, so don't reuse them.
Several tools in the results are built for newsrooms and political monitoring, not blog archives.
The citation log above costs nothing, works with any tool and gives an editor the history behind each claim, which no draft checker keeps for you.
None of the tools we read about re-checks published posts on a schedule. For the same problem from the SEO side, see fact checking for SEO managers.
How Veritas fits a content team
Veritas is an autonomous fact-maintenance agent for publishers, built for SEO and content teams, editors and large archives. It runs in the cloud on a schedule.
A pre-publish check fact-checks a draft before it goes live.
It finds your posts through sitemaps, sitemap indexes and RSS or Atom feeds.
It pulls out statistics, dates, who holds a role, quotes, events, comparisons and superlatives, and skips opinion and prediction.
It searches beyond your own site, prefers primary sources and lets you list the domains you trust.
Supported, contradicted, outdated, misleading or unverifiable. Outdated means true when published and not any more.
Only confident findings, with evidence, citations and a suggested rewrite applied in one click.
Pages per run, claims per page and the schedule are set per site, and unchanged claims are never re-checked or paid for twice.
Honest limitsWhen Veritas isn't the right fit
A paste-in checker may be quicker.
Veritas excludes the publisher's own pages when it looks for evidence, so your own pricing or feature pages can't settle those claims. Use release-triggered reviews for them.
Use an SEO tool; Veritas doesn't measure traffic.
Veritas reads the HTML a page serves.
Read more about Veritas, or how it compares with MarketMuse.
How Veritas works
- Finds your pagesReads your sitemaps, Google News sitemaps and RSS or Atom feeds on a schedule.
- Pulls out the claimsStatistics, dates, who holds a role, quotes, events. Opinion is skipped.
- Checks the evidenceSearches outside your site and prefers primary sources.
- Hands editors the fixConfident findings only, with citations and a one-click rewrite.
Frequently asked questions
What is the best fact checking software for content marketers?
Tools such as Originality.ai's fact checker highlight claims in a draft for you to check. For keeping published posts right as facts change, Veritas re-checks them on a schedule. Neither replaces a sourcing habit: trace each statistic to its original and record the year.
How do I check a statistic before using it?
Find the original study or release, read what it measured and when, confirm it is the latest edition, and put the source and year in the sentence. If you can't find the original after a reasonable search, don't publish the number.
What do I do when two sources give different numbers?
Go to the original publisher of each figure and compare the year, the sample and the definition. Use the one that matches your claim, say which source and year you used in the sentence, and log the other in your citation log so the choice is clear to the next editor.
How often should I update statistics in old posts?
CMI advises tagging dated studies and revisiting that content at least annually. Fast-moving claims, such as competitor prices, need shorter intervals. Veritas re-checks fast-moving claims after 7 days, slowly decaying ones after 45 and stable ones after 365.
Should I change the date when I refresh a post?
Only when the content substantially changed. Google asks whether you change dates to make pages seem fresh without substantial change, even though some marketing guides say to update the date on republishing. Add an editor's note saying what changed.
Do I need to fact-check AI-written blog posts?
Yes. Google says it is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing, including titles, meta descriptions, structured data and alt text.
Do FTC advertising rules apply to my blog?
The FTC's guidance says advertisers must have evidence for their claims, and agencies must make an independent check. Whether a particular claim on your blog is advertising is a question for your own counsel.
Can Veritas check my competitor comparison pages?
Veritas checks claims against evidence beyond your own site. It excludes your own pages as evidence, so claims about your own product need release-triggered review.
Keep every page true
Veritas re-checks the facts across your published pages and hands editors a sourced fix when one goes stale.
Request early accessRelated guides
- Fact checking tool for SEO managers: refresh the pages that are wrongContent audits tell SEO managers which pages lose traffic. A fact checking tool for SEO managers adds which sentences on those pages are no longer true, so a refresh fixes facts and not just the date.
- AI fact checker for articles: check the draft, then keep checkingAn AI fact checker for articles can flag shaky claims in a draft, but it checks once. Veritas adds the other half: a pre-publish check, then scheduled re-checks that flag claims gone stale on pages already live.
- A fact checking tool for editors who answer for everything that's publishedMost tools sold as a fact checking tool for editors check one draft at a time. Editors are responsible for much more: copy from many contributors, headlines, corrections and every story already in the archive. Veritas keeps checking that published work and puts the problems in one queue.
- Fact checking software for journalists: check the story, then keep it rightMost fact checking software for journalists helps you test claims before a story runs. Veritas covers the other half of the job: it keeps re-checking the facts in stories you have already published and tells you which ones have gone wrong.
10 sources, checked 1 November 2026
- Google Search Central: Creating helpful content (updated 2026-10-05)
- Google Search Central: Using generative AI content (updated 2026-10-01)
- Google Search Central: Influencing your byline dates (updated 2025-12-10)
- FTC: Advertising FAQs, a guide for small business
- Content Marketing Institute: fact-checking checklist (2017, page modified 2026-07-03)
- Content Marketing Institute: future content updates (30 Jul 2025)
- Content Marketing Institute: managing outdated content in the AI era (13 Aug 2026)
- HubSpot: guide to updating and republishing blog content (11 Jun 2025)
- Originality.ai help: fact checker (updated 2026-09-30)
- Trysight: fact-checking AI-generated content (updated 2026-10-19)