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%.
“**Avoid:** Tools like **PandaDoc** for government contracts, RFPs, or complex enterprise bids ... **PandaDoc** - Good for general sales proposals” GLM 4.7 FlashX, negative prompt
“Proposify — Multiple Critical Issues ... Proposify and SAP Ariba have the most severe and well-documented problems.” Kimi K2, negative prompt
“**Better Proposals** — Highest Concern ... Vendor lock-in / data hostage ... Fake/misleading integrations” DeepSeek V4 Flash, negative prompt
“Tools like **Qwilr** are incredibly modern... However, they require caution depending on your industry.” Gemini 3.5 Flash, negative prompt
20 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. 175 links across 75 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.