How the FaceSearch blog is written
Who writes it?
The FaceSearch editorial team: the people who build and run FaceSearch. Posts are signed by the team rather than by a named author, because no single expert writes them, and we do not invent one.
How is AI used?
Topics are chosen from what people actually search for about fake profiles, scams and photo misuse. An AI model researches each topic and drafts the post from primary sources, following a written procedure, and lists those sources at the foot of the post.
How is a post checked before it is published?
Automated checks reject a draft that cites no government or platform source, that repeats a question another page already answers, or that claims something FaceSearch cannot do. A member of the team then reads the draft against its sources and approves it. Nothing is published without that approval.
What do posts say about FaceSearch itself?
Only what it does. FaceSearch compares a face against images on the public web; it cannot see inside dating apps, private accounts or messages, and posts say so where it matters. Prices and plans are described only on the pricing page, so a post never quotes a figure that has since changed.
How are posts kept current?
Each post shows the date it was last reviewed. Posts are revisited when a source they rely on changes, and the review date moves only when the content has actually been checked again.
How do I report a mistake?
Use the contact page and name the post and the sentence. Corrections are made to the post itself, and the review date is updated when they are.