How it works
The checker extracts numeric claims, founding/launch years, and entity descriptors from your content, then looks for the three most common forms of internal contradiction: duplicate metrics with different values, conflicting years for the same event, and entities described in incompatible ways.
Why this matters
Assistants aren't fooled by prose that says one thing in paragraph two and another in paragraph five. Self-consistency is a baseline trust filter. See our how AI assistants choose citations guide.
Ship it
- Decide on one canonical metric per entity and stick to it.
- Fix any year conflicts - even in different paragraphs.
- Pair with the Fact Density Analyzer and Content Authority Score.