# FullEnrich: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 10 judge labels across 2 categories by 9 of 12 models. Page: https://gtm-ai-index.com/vendors/fullenrich/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Data enrichment | 0% | 12 | 11% | 9 |
| CRM data quality and deduplication | 0% | 96 | 100% | 1 |

## What the models said for it

- "Choose Clay or FullEnrich if you need the highest possible data accuracy via waterfall logic" (Qwen 3.7 Flash, Enrichment)
- "waterfall enrichment tools like BetterContact and FullEnrich offer the lowest cost-per-contact" (Claude Haiku 4.5, Enrichment)
- "Choose FullEnrich or BetterContact if you already have a list of LinkedIn URLs" (Gemini 3.5 Flash, Enrichment)
- "If you need simple email enrichment only, try FullEnrich at $29/month" (GLM 4.7 FlashX, Enrichment)

## And against it

- "users cite inaccurate US phone numbers, expensive phone credits, missing contacts/emails, and integration limitations" (DeepSeek V4 Flash, Enrichment)
- "Lowest cost but limited scope" (Mistral Small, CRM data quality)

## 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, September 2026 Edition, gtm-ai-index.com.