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%.
“Approach with Extra Caution (Especially for SMBs or Beginners): Adobe Marketo Engage ... Steep learning curve, outdated/non-intuitive UI ... expensive pricing” Grok 4.1 Fast, negative prompt
“Mailchimp has become a major source of complaints among growing businesses... Accounts are frequently suspended without prior warning” Qwen 3.7 Flash, negative prompt
“HubSpot — Pricing escalation & contract lock-in ... **Avoid if:** You're a small business on the Starter/Free tier expecting to scale cheaply” DeepSeek V4 Flash, negative prompt
“SFMC is notoriously complex — it requires SQL and proprietary AMPscript to use fully. "The UX is absolutely terrible..."” DeepSeek V4 Flash, negative prompt
19 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. 5 of those lists are Google grounding redirects that name no site and are left out of the counts. 183 links across 103 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.