Fact Check compares every AI answer against the sources you have approved. Semantically, not by keyword. It flags what deviates, names the source the wrong claim came from, and hands you an action plan.
AI Fact Check · Visibility report
Daily prompts · every region · every modelVisibility
68%
Mentions
1,284 / mo
Sentiment
92% positive
Join 500+ ambitious teams winning the AI search era.
Winning in LLMs
across every market
Christoph Sterkel · Head of Europe, Kellogg's
You cannot edit a model. Every claim it makes about you was assembled from sources it retrieved, and a quarter of those sources belong to somebody you compete with. Fact Check finds the deviation and the page behind it.
Cited sources that are competitor pages
25.7%
of 8.85 million cited sources
A quarter of everything an AI answer leans on belongs to a company you compete with, so the claim it makes about you was partly assembled by rivals.
Full corpus
Models you can choose from
15
three run in parallel as standard
ChatGPT, Claude, Gemini, Perplexity, AI Mode, AI Overviews, Copilot, Grok, DeepSeek and more. Extra models are bookable on any plan, not only at enterprise level.
Bookable on any plan
Markets covered
40+
countries and languages
A model can be right about you in one market and wrong in the next, and approved wording differs by jurisdiction, so every check runs market by market.
Per market
Claude answers carrying a citation
4.0%
of 31,313 answers measured
Some engines make claims and cite almost nothing, which is exactly where an unchecked error survives longest, so Fact Check reads the claim not the count.
Lowest of any engine
01 · Meaning, not string matching
Measure your Fact Check mentions, citations and share of voice as KPIs over time.
A model paraphrases. It will describe your product correctly in words that appear nowhere in your documentation, and describe it incorrectly in words that look familiar. Fact Check compares meaning against your approved source, so a rewording passes and a changed claim does not.
Today
Meaning, not string matching
02 · Exact value or tolerance band
03
04
Models mix up companies with similar names, attribute your feature to a competitor, or credit you with something you do not sell. Fact Check checks that the claim is attached to the right entity, not only that the claim itself is plausible.
05
A flagged claim is half an answer. Fact Check shows the sources the model cited for that answer, so you can read the page that taught it the wrong number. That page is the thing you can change, because the model is not.
06
Step 1 · Sources
Point Fact Check at the material you stand behind: product pages, documentation, a price list, approved claim language or a regulatory summary. That set, and only that set, decides what counts as correct in every check.
Step 2 · Runs
Your prompts already run daily across the models you track and more than forty markets. Fact Check reads the answer text those runs produce, so the check happens on what a buyer actually saw rather than on a sample pulled by hand.
Step 3 · Sources behind it
A flagged claim is only half an answer. Fact Check shows the sources that answer cited, so you can read the page that taught the model the wrong number. That page is the one thing you can change, because the model is not.
Step 4 · Numbers
Prices, dosages, thresholds, coverage, uptime. Set the value or the band that is true and every number an answer states is tested against it, including figures written as words and values converted into another unit or currency.
Step 5 · Meaning
A model paraphrases. It describes your product correctly in words that appear nowhere in your documentation, and incorrectly in words that look entirely familiar. A rewording passes the check, a substituted claim does not.
Step 6 · Action
Correction happens indirectly. Fact Check names the page behind the wrong claim and turns it into an action with an owner and a status, so a month of monitoring ends in a corrected reference rather than a higher percentage.
Visibility. Citations. Revenue.
AI decides the first two.
Most brands don't track either.
Until now.
Related: AI visibility tracking, AI citation tracking and AI brand sentiment.
Fact Check runs across the models you track and more than forty markets, compares every claim against your approved sources, and shows the page behind each deviation.
