Our credibility layer integrates directly into the platforms and workflows where information is created, shared, and acted on, bringing verifiable credibility intelligence wherever it's needed most.
The credibility crisis isn't coming.
Organizations can no longer rely on instinct or manual review to determine what's credible, and the volume of content that's produced makes the problem impossible to solve at human speed.
The tools built for a pre-AI world weren't designed for what we're now facing today.
There’s a better approach to evaluating credibility, one that is multifactorial, objective, and scientific.
80.1% of respondents said they would use a credibility tool like AmICredible.
64.5% said they are willing to pay for a credibility tool.
66.4% already cross-check AI tools against each other, showing sophisticated verification behavior.
Together, these factors form a complete picture of whether something is truly credible, not just technically accurate.
Does the statement align with verified facts, scientific consensus, and available evidence? This is where most tools stop. AmICredible is just getting started.
Who made the statement? Does the source have a track record of reliability, or a documented history of bias and misinformation? Identity and provenance matter as much as the claim itself.
Is the statement clearly defined and specific, or is it vague, hyperbolic, and stripped of important meaning? Imprecision distorts meaning even when facts are present. We identify when a statement sacrifices clarity for persuasion.
Does the statement include the context needed to interpret it accurately, or does it oversimplify and misrepresent a more complex reality? A statement can be factually correct and still mislead. We flag the gap.