| # | Product | First choices | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|
| 01 | 25% | 8% | 25 | accepted challenger | |
| 02 | 25% | 30% | 10 | criticized challenger | |
| 03 | 17% | 18% | 34 | accepted challenger | |
| 04 | 8% | 38% | 32 | criticized challenger | |
| 05 | 4% | 7% | 14 | accepted challenger | |
| 06 | 4% | 36% | 22 | criticized challenger | |
| 07 | 0% | 0% | 14 | accepted challenger | |
| 08 | 0% | 0% | 12 | accepted challenger | |
| 09 | 0% | 32% | 28 | criticized challenger |
A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
“Enterprise platforms like 6sense and Demandbase are designed for larger organizations with bigger budgets.” Claude Opus 4.8, budget prompt
“Skip the enterprise platforms for now. Enterprise platforms like 6sense and Demandbase are designed for larger organizations” Claude Opus 4.8, budget prompt
“Avoid enterprise platforms like **6sense**, **Demandbase**, and often **Bombora** if budget is tight” Perplexity Sonar Pro, budget prompt
“Massive privacy lawsuits, aggressive contracts, and data-hostage tactics.” Gemini 3.1 Pro, negative prompt
Whether each model's first choice on the direct prompt survived the paraphrase in this category, under the strict rule.
| Prompt | Claude Opus 5 | Claude Opus 4.8 | GPT-6 Astra | GPT-5.6 Sol | Gemini 3.1 Pro | Perplexity Sonar Pro |
|---|---|---|---|---|---|---|
Direct recommendation What is the best B2B intent data provider for a mid-market B2B software company? | Factors.ai, G2 Buyer Intent, Warmly Bombora against: 6sense, Demandbase | 6sense, ZoomInfo Bombora, Cognism, Demandbase, G2 Buyer Intent | G2 Buyer Intent 6sense, Bombora, Demandbase | G2 Buyer Intent 6sense, Bombora, Demandbase | Cognism Bombora, Dealfront, G2 Buyer Intent against: 6sense, ZoomInfo | 6sense, Bombora Dealfront, Demandbase, G2 Buyer Intent |
Paraphrase Which B2B buyer intent data vendor would you recommend to a mid-sized B2B software company? | G2 Buyer Intent Bombora, Dealfront, HG Insights, RB2B +1 against: 6sense, Demandbase | Bombora 6sense, Demandbase, G2 Buyer Intent against: ZoomInfo | Bombora 6sense, G2 Buyer Intent | G2 Buyer Intent 6sense, Bombora, Demandbase, TechTarget Priority Engine against: ZoomInfo | Apollo.io, G2 Buyer Intent Bombora, Dealfront, ZoomInfo against: 6sense | Bombora 6sense, Cognism, G2 Buyer Intent, ZoomInfo |
Comparative What are the top B2B intent data providers and how do they differ? | Bombora Cognism, Dealfront, G2 Buyer Intent, Intentsify +4 against: 6sense, Apollo.io, Lusha | Bombora 6sense, Demandbase, G2 Buyer Intent, TechTarget Priority Engine +1 | Bombora 6sense, Demandbase, G2 Buyer Intent, Intentsify +3 | 6sense, Bombora, Demandbase G2 Buyer Intent, Intentsify, TechTarget Priority Engine, ZoomInfo | Bombora 6sense, Apollo.io, Cognism, Demandbase +5 | Bombora 6sense, Cognism, Dealfront, Demandbase +4 |
Budget constrained What is the best B2B intent data provider for a company with a limited budget? | RB2B, Warmly Bombora, Clay, Cognism, G2 Buyer Intent against: 6sense, Demandbase, ZoomInfo | Apollo.io Dealfront, RB2B, Saleshandy against: 6sense, Cognism, Demandbase +1 | Apollo.io Bombora, Dealfront | Apollo.io Dealfront, RB2B against: 6sense, Bombora, Demandbase | Apollo.io Dealfront, Lead411, UpLead against: 6sense, Bombora, Demandbase +1 | Apollo.io Dealfront, Lead Onion against: 6sense, Bombora, Demandbase |
Scale constrained We are a 500 person company evaluating a B2B intent data provider. What should we look at? | no first choice | no first choice | no first choice | no first choice | no first choice | no first choice |
Negative framing Which B2B intent data providers should I avoid or be cautious about? | no first choice against: Bombora, Seamless.AI, ZoomInfo | no first choice | no first choice against: 6sense, Apollo.io, Bombora +2 | no first choice against: 6sense, Bombora, Demandbase +4 | no first choice 6sense, Bombora, Demandbase against: Apollo.io, Exact Data, Seamless.AI +1 | no first choice |
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency | Cost |
|---|---|---|---|---|---|---|---|
| Direct recommendation | Claude Opus 5 | claude-opus-5 | 2026-09-08 15:30 | yes | 23 | 50 s | $0.22 |
| Direct recommendation | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-08 15:30 | no | 0 | 22 s | $0.06 |
| Direct recommendation | GPT-6 Astra | gpt-6-astra | 2026-09-08 15:32 | yes | 5 | 36 s | $0.29 |
| Direct recommendation | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-08 15:33 | yes | 7 | 48 s | $0.23 |
| Direct recommendation | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-08 15:32 | yes | 10 | 51 s | $0.07 |
| Direct recommendation | Perplexity Sonar Pro | sonar-pro | 2026-09-08 15:31 | yes | 20 | 11 s | $0.01 |
| Paraphrase | Claude Opus 5 | claude-opus-5 | 2026-09-08 15:34 | yes | 21 | 58 s | $0.25 |
| Paraphrase | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-08 15:35 | yes | 24 | 54 s | $0.20 |
| Paraphrase | GPT-6 Astra | gpt-6-astra | 2026-09-08 15:36 | yes | 4 | 31 s | $0.29 |
| Paraphrase | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-08 15:37 | yes | 6 | 44 s | $0.23 |
| Paraphrase | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-08 15:36 | no | 0 | 26 s | $0.03 |
| Paraphrase | Perplexity Sonar Pro | sonar-pro | 2026-09-08 15:35 | yes | 20 | 11 s | $0.01 |
| Comparative | Claude Opus 5 | claude-opus-5 | 2026-09-08 15:39 | yes | 45 | 71 s | $0.31 |
| Comparative | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-08 15:40 | yes | 21 | 65 s | $0.25 |
| Comparative | GPT-6 Astra | gpt-6-astra | 2026-09-08 15:42 | yes | 10 | 68 s | $0.51 |
| Comparative | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-08 15:44 | yes | 10 | 102 s | $0.37 |
| Comparative | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-08 15:41 | yes | 10 | 47 s | $0.05 |
| Comparative | Perplexity Sonar Pro | sonar-pro | 2026-09-08 15:40 | yes | 20 | 11 s | $0.02 |
| Budget constrained | Claude Opus 5 | claude-opus-5 | 2026-09-08 15:45 | yes | 41 | 52 s | $0.21 |
| Budget constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-08 15:47 | yes | 38 | 143 s | $0.27 |
| Budget constrained | GPT-6 Astra | gpt-6-astra | 2026-09-08 15:49 | yes | 5 | 31 s | $0.42 |
| Budget constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-08 15:49 | yes | 3 | 35 s | $0.17 |
| Budget constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-08 15:48 | yes | 6 | 40 s | $0.05 |
| Budget constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-08 15:47 | yes | 20 | 9 s | $0.01 |
| Scale constrained | Claude Opus 5 | claude-opus-5 | 2026-09-08 15:51 | yes | 26 | 70 s | $0.21 |
| Scale constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-08 15:51 | no | 0 | 37 s | $0.07 |
| Scale constrained | GPT-6 Astra | gpt-6-astra | 2026-09-08 15:53 | yes | 4 | 53 s | $0.22 |
| Scale constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-08 15:54 | yes | 7 | 83 s | $0.23 |
| Scale constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-08 15:52 | no | 0 | 34 s | $0.03 |
| Scale constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-08 15:51 | yes | 18 | 13 s | $0.02 |
| Negative framing | Claude Opus 5 | claude-opus-5 | 2026-09-08 15:56 | yes | 42 | 78 s | $0.37 |
| Negative framing | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-08 15:57 | yes | 34 | 68 s | $0.29 |
| Negative framing | GPT-6 Astra | gpt-6-astra | 2026-09-08 16:00 | yes | 5 | 51 s | $0.48 |
| Negative framing | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-08 16:01 | yes | 7 | 67 s | $0.30 |
| Negative framing | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-08 15:59 | yes | 18 | 87 s | $0.05 |
| Negative framing | Perplexity Sonar Pro | sonar-pro | 2026-09-08 15:57 | yes | 20 | 14 s | $0.02 |