How we measure where your brand stands across every major AI platform - rigorously, repeatably, and in a way that holds up when a CMO asks how it was done.
Most brand measurement tools optimise for control. We optimise for accuracy. Our methodology is designed to reflect how real consumers actually interact with AI platforms - not idealised conditions that produce cleaner-looking numbers but don't translate to commercial reality.
Every condition we set, every platform we test, and every score we record is documented so results can be replicated, compared, and defended.
Every prompt response is scored across three independent dimensions, giving you a complete view of how AI platforms represent your brand.
Is your brand being surfaced at all? We measure how prominently you appear in AI-generated responses - from top recommendation to completely absent.
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When your brand is mentioned, is the information correct? We flag hallucinations, outdated details, and partial errors that could mislead a customer at the point of decision.
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Where do you sit relative to your competitors? We track which brands are taking your recommendation slot and how prominently they're being featured in your category.
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Four principles that separate an Obsessd audit from a manual screenshot exercise.
Every brand is tested under identical conditions. If we can't place two brands side by side and compare scores with confidence, the audit isn't worth running. Our testing protocols ensure cross-client benchmarking is always valid.
We simulate how the majority of consumers actually use each AI platform - not idealised anonymous conditions that don't reflect reality. Over-controlling for purity produces results that are rigorous but not representative.
AI platforms change their interfaces, account rules, and model behaviours constantly. A method accurate in April may be wrong in May. Our methodology is a living document, reviewed and updated before every new round of audits.
When a CMO asks "how did you test this?", the answer is clear, logical, and repeatable. We document every condition - platform, account, time, model version - so any finding can be explained and any score can be replicated.
We test where your customers are actually asking questions - covering every platform that meaningfully influences purchase decisions today, with new platforms added as they reach scale.
See Which Platforms We Cover →The AI landscape shifts faster than any static framework can keep up with. Model versions change, platform interfaces evolve, and what constituted best practice last quarter may already be outdated. Our methodology is reviewed monthly - not because we lack confidence in it, but because maintaining its accuracy is part of what you're paying for.
Get a full audit across every major AI platform - visibility scores, accuracy flags, competitor gaps, and a prioritised roadmap to fix them.