6sense vs G2 Buyer Intent
Two of fourteen models named 6sense first on the direct prompt; one named G2 Buyer Intent. Both were named by all fourteen models and 6sense carries 64 labels and G2 Buyer Intent 44, so the shares are not directly comparable.
Named in twenty-three categories this edition.
By G2, Chicago, United States, founded 2012. Named in seven 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 B2B intent data providers page.
By framing
6senseFirst choices, of fourteen modelsG2 Buyer Intent
Across every category in the October 2026 Edition, 6sense and G2 Buyer Intent were named in the same answer 100 times, of the 711 answers naming 6sense and the 177 naming G2 Buyer Intent. In those answers G2 Buyer Intent took the first choice four times and 6sense sixteen.
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 | | | | |||
| GPT-6 Luna | | | | | | |
| Muse Glimmer 30B | | | | | |
6sense G2 Buyer Intent first choice named as an alternative argued againstblank: not namedEach cell is one answer, 6sense on the left and G2 Buyer Intent on the right.The direct prompt
6sense first, G2 Buyer Intent an alternative
2 of 14 modelsG2 Buyer Intent was named in the answer but not as the choice, or not at all.G2 Buyer Intent first, 6sense not the choice
1 of 14 models6sense was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.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
G2 Buyer Intent4%#4 of 146sense0%#14 of 146sense5%#7 of 13G2 Buyer Intent2%#8 of 13What the models said about 6sense
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“If you want a single recommendation, 6sense is the strongest default pick for a mid-market B2B company” Perplexity Sonar · direct prompt · first choice
What 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.
“But check the actual package and price first: G2 says signal access depends on your plan, and its public pricing doesn't clearly show Buyer Intent as included in the low-cost Starter plan.” GPT-6 Luna · budget prompt · soft negative
“G2/TrustRadius/TechTarget-style intent can be useful, but it is often best for product-category research and may be less useful if you need broad, person-level buying intent” GPT-5.4 mini · negative prompt · soft negative
“Each appears in comparison charts but shares recurring pain points—stale data, opaque predictive models, steep learning curves” Qwen 3.7 Flash · negative prompt · soft negative
“Bombora layered with G2 Buyer Intent is the pragmatic starting point.” Claude Haiku 4.5 · direct 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.