Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
“Salesforce used as a commission engine is specifically called out as a poor fit for complex commission calculation” Perplexity Sonar, negative prompt
“**Avoid enterprise platforms** like Xactly, SAP Commissions, CaptivateIQ” Perplexity Sonar, budget prompt
“High Caution**... **Best avoided by**: Mid-market companies, teams without dedicated compensation analysts” Kimi K2, negative prompt
“**Best avoided by**: Non-SAP shops, smaller organizations, teams wanting quick implementation” Kimi K2, negative prompt
23 of 72 answers in this category came back with a source list, from 4 of 6 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 199 links across 67 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 2 models searched through a gateway that returned no source list on this edition.
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.