Machine-Level Credibility
Machine-Level Credibility
Description
How trustworthy and authoritative a machine considers your brand to be, based on corroboration, source quality, and reputation signals.
The Machine-Level Credibility definition
This describes how trustworthy and authoritative a machine considers your brand to be, based on corroboration, source quality, and reputation signals. It's the AI equivalent of human trust.
How Jason Barnard uses Machine-Level Credibility definition
We engineer credibility through third-party corroboration, such as mentions on reputable sites, consistent reviews, and expert associations. We also monitor and reinforce brand alignment to avoid conflicting signals.
Why Machine-Level Credibility matters to digital marketers
Being understood isn't enough; you must also be believed. Machine-Level Credibility determines whether your brand is cited, recommended, or ignored, and without it, your brand is filtered out of high-value AI interactions.
Posts tagged with Machine-Level Credibility
Entity and search/AI glossary: Jason Barnard’s foundational lexicon for the new digital (AI) era
I’m Jason Barnard. I started working on Brand SERPs and the Knowledge Graph in 2012 - before most marketers had even heard the word “entity.” Before AI, before ChatGPT, before...
Optimizing your personal brand for AI agents, assistive engines, and search – today, tomorrow, and the decade ahead
In 2025, most entrepreneurs still think their personal brand is something search and AI engines “just pick up.” They’re wrong. Google, ChatGPT, Perplexity, Gemini, Bing Copilot aren’t passively listing your...
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