I track two things separately: how often the brand appears in AI answers and whether that visibility actually brings traffic or conversions. For the second part, I use ObserviX to identify traffic from ChatGPT and other AI sources and connect those visits to conversions. For me, that’s more useful than visibility alone.

Tested a version of this. Honest answer: measuring brand visibility in AI answers works reasonably well, but tying a change to one specific article or thread is mostly inference. What works: build a fixed prompt set — the 20–50 questions your actual buyers would type — and run them through each model on a schedule (weekly is enough). Log three things per prompt: does the brand appear, how it's described, and which sources get cited. A publication then becomes an event in a time series: baseline for a few weeks, publish, watch the delta. The signal that actually connects content to answers is the citation list. When a specific article or Reddit thread starts appearing in the sources under answers where it wasn't before, that's your link. Manual, but a spreadsheet of prompt × model × week × (brand shown / sentiment / cited sources) answers most questions. Two caveats: answers are non-deterministic, and models update silently, so single spot-checks mislead — same prompts, same schedule, judge trends. Tools (Semrush's AI toolkit, Otterly, Profound and similar) automate the sampling once the manual process shows the brand is actually moving.

Adding to the fixed prompt set -- the thing that'll bite you is that a single check on a single day isn't a data point. These models don't return the same answer twice. Same prompt, same account, ten minutes apart, different response. So run each prompt a handful of times, spread over a few days, before you call it a yes or a no. Otherwise your weekly number moves and you have no idea whether anything actually changed or you just caught a different roll. Other thing I'd split out: being named in the answer text vs. your URL showing up as a cited source. Those get mashed into one AI visibility number and they're not the same thing. You can get mentioned with no link at all, or get cited as a source in a paragraph that ends up recommending a competitor. Two columns, not one. For the baseline itself, 15-20 prompts, weighted heavily toward non-branded. Branded ones like "is the company any good" or "company reviews" are mostly a memory test of awareness you already have. The category ones are the ones that matter, phrasing someone who's never heard of you would actually type, like "best X for Y". Run those across ChatGPT, Gemini, Claude and Perplexity, log presence, cited or not, and which exact URL got pulled, repeat weekly. It's a spreadsheet and maybe an hour a week, and it gives you a real number with a stated method, which is the part that keeps you honest in front of the board. That's also roughly what tools like Profound or Ahrefs Brand Radar automate at scale, so doing the manual version first isn't wasted work. If you buy one later you'll actually know what its number is counting, which is exactly what you need when leadership asks why it dropped 8% one week.