Google Analytics is rarely recommended by AI. Here is its measured AI-Visibility Score, drawn from 8 live AI engines across our 16-category B2B/GTM audit.
When a buyer asks ChatGPT or Google's AI "what's the best tool for this," only a handful of names make the answer. Google Analytics earned an AI-Visibility Score of 12.1/100, ranking #27 of 354 measured tools. That is below the three-or-so names most buyers hear when they ask AI for a recommendation, so there is visibility upside to capture.
It was the single top answer 4 times, which is the position that actually gets read aloud when a buyer asks for one recommendation. 7 of 8 engines named it, so it is visible on some assistants and absent from others. It competes in one category only, Product analytics, where it places #3 of 8. A tool named in a single category has a narrower surface than its score alone suggests.
AI visibility is winnable and separate from Google rankings: the engines we tested disagreed on the #1 tool in most categories, so a product can be invisible to one assistant and a top pick on another. The lever is being named where AI looks, mapped in the cross-engine comparison and the source-bias data.
Google Analytics appeared in 1 of the 16 categories measured. Each table is that category's full ranked result, so you can see exactly which rivals the engines named ahead of it and which they named behind.
Weighted score is position-weighted recommendation frequency within that category (a #1 mention counts 1.0, a #2 counts 0.5, and so on), summed across every engine and phrasing. It is not a quality judgement.
See exactly which engines named it, where, and how to raise its AI-Visibility Score.
From the open, CC-BY AI Recommendation Audit: a dated snapshot of what live AI engines recommend, not an endorsement or a quality ranking. Google Analytics appeared in 13 of 1549 recorded recommendations. Open data.