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%.
“Adobe Real-Time CDP – Skip if you're not already deeply in the Adobe ecosystem” DeepSeek V4 Flash, negative prompt
“Segment’s pricing is tied to Monthly Tracked Users (MTUs), which can scale aggressively and become highly expensive for mid-market budgets.” Gemini 3.5 Flash, paraphrase prompt
“Avoid enterprises like Salesforce/Adobe unless deeply invested (8+ weeks, $100K+).” Grok 4.1 Fast, paraphrase prompt
“Avoid enterprise CDPs like Adobe or Tealium (custom, $50K+/year)” Grok 4.1 Fast, budget prompt
18 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. 161 links across 87 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 |
|---|
Flips between the edition run and its calibration repeat. Six prompts per model is a small sample; the index-wide floor is the number to trust.
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.