# RB2B: how AI models rank it, October 2026

GTM AI Recommendation Index, October 2026 Edition. Named in 32 judge labels across 5 categories by 12 of 14 models. Page: https://gtm-ai-index.com/vendors/rb2b/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| B2B intent data providers | 5% | 6 | 0% | 14 |
| Identity resolution | 2% | 12 | 0% | 7 |
| Account-based marketing platforms | 0% | 13 | 0% | 7 |
| Session replay and heatmaps | 0% | 28 | 0% | 3 |
| Experimentation and personalization | 0% | 68 | 100% | 1 |

## What the models said for it

- "RB2B is particularly well-suited for early-stage B2B SaaS or services companies with US-only focus, sales-driven activation, and budget constraints, offering a free tier" (Claude Haiku 4.5, Identity)
- "I'd recommend RB2B if you have meaningful website traffic and want person-level identification" (DeepSeek V4 Flash, Intent data)
- "If you have zero budget but some website traffic: Set up RB2B (for US traffic)" (Gemini 3.5 Flash, Intent data)
- "the practical stack is usually Apollo.io or RB2B for coverage" (Muse Glimmer 30B, Intent data)

## And against it

- "don't provide genuine A/B testing or optimization functionality" (DeepSeek V4 Flash, Experimentation)

## Movement since September 2026

Floor: 11 points of share, measured on the calibration repeat. A larger change is movement; a smaller one is noise.

- Identity resolution: 0% to 2%, +2. Inside the floor by 9 points · rank 22 → 12 of 140.
- B2B intent data providers: 2% to 5%, +2. Inside the floor by 9 points · rank 9 → 6 of 60.
- Account-based marketing platforms: 0% to 0%, ±0. Inside the floor by 11 points · rank 16 → 13 of 71.
- Session replay and heatmaps: 0% to 0%, ±0. New · not ranked in September 2026 · rank 28 of 56.
- Experimentation and personalization: 0% to 0%, ±0. New · not ranked in September 2026 · rank 68 of 71.

## In its own words

What RB2B's own pages state, read 2026-09-28. Stated by the vendor, not checked by the index.

- Positioning: website visitor identification software (https://rb2b.com/)
- For: null (https://rb2b.com/)
- Price stated: Paid plans start at $149/month. Starter plan for $79/mo for Person-Level ID, total 300 monthly resolutions. (https://rb2b.com/)
- Starting price: 79 (https://rb2b.com/)
- Free plan or trial: a 7-day full-featured trial (https://rb2b.com/)
- Integrations claimed: 50 (https://rb2b.com/)
- Certifications: SOC2 Type II certified, SOC2 Type II compliant, SOC2 Type 2 Certified, CCPA Compliant
- Hosting: US, Global
- Customers named: Mixmax, Reply, Distribute.so, Sendspark, Default, Biscred, SAS, ColdIQ

## What it publishes

Every page rb2b.com exposes, read 2026-09-29: 539 addresses. By kind, pages and the last 90 days:

- blog: 12 pages, 0 in the last 90 days, latest undated
- report or ebook: 4 pages, 0 in the last 90 days, latest 2026-02-10
- comparison: 52 pages, 0 in the last 90 days, latest undated
- template or tool: 2 pages, 0 in the last 90 days, latest 2026-05-18
- glossary or explainer: 145 pages, 0 in the last 90 days, latest 2026-03-09
- Recent: 2026-05-18 template or tool: 8975716 registration checklist for new users https://support.rb2b.com/en/articles/8975716-registration-checklist-for-new-users
- Recent: 2026-03-09 glossary or explainer: What is a consent management tool https://library.rb2b.com/best-practices/what-is-a-consent-management-tool
- Recent: 2026-02-10 report or ebook: Using salesforce crm with rb2b https://library.rb2b.com/playbooks/using-salesforce-crm-with-rb2b
- Recent: 2026-02-09 report or ebook: Use slack for real time visitor alerts https://library.rb2b.com/playbooks/use-slack-for-real-time-visitor-alerts
- Recent: 2026-02-09 report or ebook: Filter slack notifications to reduce noise https://library.rb2b.com/playbooks/filter-slack-notifications-to-reduce-noise
- Recent: 2026-02-09 report or ebook: Collaborate and respond to slack alerts effectively https://library.rb2b.com/playbooks/collaborate-and-respond-to-slack-alerts-effectively

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, October 2026 Edition, gtm-ai-index.com.