Qualified vs Intercom
Seven of fourteen models named Qualified first on the direct prompt; four named Intercom. Both were named by all fourteen models and Qualified carries 47 labels and Intercom 56, so the shares are not directly comparable.
Named in four categories this edition.
United States, founded 2011. Named in fourteen categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the conversational marketing platforms page.
By framing
QualifiedFirst choices, of fourteen modelsIntercom
Across every category in the November 2026 Edition, Qualified and Intercom were named in the same answer ninety-six times, of the 136 answers naming Qualified and the 462 naming Intercom. In those answers Intercom took the first choice eleven times and Qualified forty-four.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | | |||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | ||
| Llama 4 Maverick | | | | | ||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | | |
Qualified Intercom first choice named as an alternative argued againstblank: not namedEach cell is one answer, Qualified on the left and Intercom on the right.The direct prompt
Both were the first choice
1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.Qualified first, Intercom an alternative
6 of 14 modelsIntercom was named in the answer but not as the choice, or not at all.Intercom first, Qualified an alternative
3 of 14 modelsQualified was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Intercom8%#3 of 14Qualified4%#7 of 14Qualified25%#1 of 8Intercom16%#3 of 8Qualified47%#1 of 9Intercom2%#5 of 9What the models said about Qualified
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Extremely powerful for ABM and Salesforce-native teams, but likely overkill for mid-sized companies” Kimi K2 · paraphrase prompt · soft negative
“If you are heavily invested in Salesforce and have a dedicated sales motion, Qualified is the stronger pipeline driver.” Qwen 3.7 Flash · direct prompt · first choice
“My default pick: Qualified—if you're a mid-sized B2B company with Salesforce and meaningful inbound or ABM traffic.” GPT-6 Luna · paraphrase prompt · first choice
“Qualified is the current market reference for pipeline chat and is the closest enterprise feature match to Drift.” Muse Glimmer 30B · direct prompt · first choice
What the models said about Intercom
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Avoid enterprise-level platforms like Intercom or Drift (now owned by Salesloft), which get expensive quickly” Gemini 3.5 Flash · budget prompt · hard negative
“Intercom (pricing opacity + support issues)” Kimi K2 · negative prompt · hard negative
“I recommend Intercom (now with its AI agent called Fin) as the top website chat solution for converting visitors into pipeline.” Grok 4.20 · paraphrase prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.