Thinkerbell.
Thinkerbell has launched Hi-Vis, an offering that audits and improves how brands are seen, understood and recommended by AI models.
"Marketers have spent a century learning how humans choose brands. Now there's a second decision-maker in the room, and it's already read everything," said Thinkerbell chief cx thinker, Dan Monheit.
"The truth is that the machines have a very human taste. They trust brands that are famous, talked about and coherent, and they're suspicious of brands that make big claims with little to back them up."
Hi-Vis assesses brands across three pillars: Fuel (what you say about yourself on channels you control), Fluency (how easily ai can find, read and understand you), and Fame (what others say about you in places you don’t control), producing a single Hi-Vis Score benchmarked against competitors across the ai platforms customers actually use.
Hi-Vis pairs a diagnostic audit with a prioritised roadmap including technical fixes, owned content improvements, and earned fame strategies.
Hi-Vis is available to clients now, with Thinkerbell running the audit on its own brand first. The agency scored 7.1.
"This is where most GEO and ai-SEO thinking gets it wrong – it treats ai visibility as a tech problem to be schema'd into better results, but the models are built to weigh third-party evidence over self-promotion,” said Thinkerbell chief tinker, Tom Wenborn.
"The brands winning in ai recommendations are the ones with cultural presence – the ones journos quote, communities discuss, and real people vouch for.
“Which means the answer to the biggest technical shift in marketing is still the old-fashioned one: be genuinely famous."
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