G2 Buyer Intent vs Dealfront
Two of twelve models named G2 Buyer Intent first on the direct prompt; zero named Dealfront. G2 Buyer Intent was named by twelve of the twelve models and Dealfront by eleven and G2 Buyer Intent carries 43 labels and Dealfront 37, so the shares are not directly comparable.
By G2, Chicago, United States, founded 2012. Named in three categories this edition.
Named in eight categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 B2B intent data providers page.
By framing
G2 Buyer IntentFirst choices, of twelve modelsDealfront
Across every category in the September 2026 Edition, G2 Buyer Intent and Dealfront were named in the same answer forty-five times, of the 118 answers naming G2 Buyer Intent and the 134 naming Dealfront. In those answers Dealfront took the first choice eight times and G2 Buyer Intent 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 4.1 Fast | | | | | | |
| Mistral Small | | | | | | |
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | | |
| MiniMax M2.5 | | | |
G2 Buyer Intent Dealfront first choice named as an alternative argued againstblank: not namedEach cell is one answer, G2 Buyer Intent on the left and Dealfront on the right.The direct prompt
G2 Buyer Intent first, Dealfront not the choice
2 of 12 modelsDealfront was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
10 of 12 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
Dealfront13%#2 of 14G2 Buyer Intent6%#3 of 14G2 Buyer Intent13%#3 of 14Dealfront2%#6 of 14G2 Buyer Intent0%#7 of 9Dealfront0%#– of 9What the models said about G2 Buyer Intent
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“The data is expensive (often $25,000 to $80,000/year depending on your categories) and volume is notoriously low” Gemini 3.5 Flash · negative prompt · soft negative
“Pure Signal Accuracy (SaaS) | G2 Buyer Intent | Highest fidelity for software buyers actively comparing products.” Qwen 3.7 Flash · comparative prompt · first choice
“Start with first-party/review-site signals (e.g., G2/TrustRadius for SaaS: $10K\u2013$50K, high-intent)” Grok 4.1 Fast · negative prompt · first choice
“Go with G2 if you are in B2B SaaS and want to intercept prospects actively comparing software.” Gemini 3.5 Flash · paraphrase prompt · first choice
What the models said about Dealfront
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“favor scalable mid-market fits like Bombora or Dealfront” Grok 4.1 Fast · scale prompt · first choice
“Best for SMBs and mid-market teams with established website traffic wanting affordable visitor identification.” Claude Haiku 4.5 · direct prompt · alternative
“If you need a simpler solution focused just on website visitor identification, Dealfront is excellent.” Mistral Small · direct prompt · alternative
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.