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%.
“**Red flags**: Poor customer support (slow responses, ticket-only), steep learning curve, integration issues ... **Avoid if**: Non-Salesforce CRM, small team, or high-volume cold email” Grok 4.1 Fast, negative prompt
“**Avoid if**: Cold email/calling heavy, regulated industry (security concerns), or budget-sensitive (hidden fees stack up).” Grok 4.1 Fast, negative prompt
“**Data Quality Issues**: Frequently reports inaccurate or outdated contact records ... Best for: Lead enrichment, but verify data before use” GLM 4.7 FlashX, negative prompt
“**Complexity Issues**: Requires significant operational discipline ... Only if your team is ready for complex implementation” GLM 4.7 FlashX, negative prompt
22 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. 183 links across 78 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.