# Dedupely vs Cleanlist: which do AI models recommend for CRM data quality, October 2026

GTM AI Recommendation Index, October 2026 Edition, CRM data quality and deduplication. Zero of fourteen models named Dedupely first on the direct prompt; three named Cleanlist. Page: https://gtm-ai-index.com/revops/crm-data-quality-and-deduplication/dedupely-vs-cleanlist/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Dedupely | 14% | #2 of 11 | 14% | 22 | 13 of 14 |
| Cleanlist | 10% | #4 of 11 | 0% | 28 | 10 of 14 |

## The direct prompt, model by model

- Perplexity Sonar: cleanlist first (first choices: Cleanlist) (alternatives: DemandTools, HubSpot Operations Hub, ZoomInfo Operations)
- Mistral Small: cleanlist first (first choices: Cleanlist) (alternatives: Cloudingo, DemandTools, WinPure Clean & Match)
- Llama 4 Maverick: cleanlist first (first choices: Cleanlist) (alternatives: DemandTools, HubSpot Operations Hub, Salesforce Duplicate Management)
- Claude Haiku 4.5: neither first, one named (first choices: DemandTools) (alternatives: Cloudingo, Dedupely, HubSpot's native duplicate management tool, Integrate.io, Openprise, ZoomInfo)
- Grok 4.1 Fast: neither first, one named (first choices: Insycle) (alternatives: Cleanlist, Cloudingo, DemandTools)
- DeepSeek V4 Flash: neither first, one named (first choices: Insycle) (alternatives: Cleanlist, DemandTools)
- MiniMax M2.5: neither first, one named (first choices: Tofu) (alternatives: Cleanlist, Cloudingo, Insycle)
- Muse Glimmer 30B: neither first, one named (first choices: Cloudingo, Insycle) (alternatives: Cleanlist, DemandTools)
- GPT-5.4 mini: neither named (first choices: Insycle) (alternatives: Cloudingo, DemandTools, ZoomInfo Operations)
- Gemini 3.5 Flash: neither named (first choices: Insycle) (alternatives: Cloudingo, DemandTools, Koalify)
- Qwen 3.7 Flash: neither named (first choices: Datagma) (alternatives: Apption, FullContact, HubSpot Breeze Intelligence)
- Kimi K2: neither named (first choices: DemandTools, Insycle)
- GLM 4.7 FlashX: neither named (first choices: Insycle) (alternatives: Cloudingo, DemandTools, MatchLogic, ZoomInfo Operations)
- GPT-6 Luna: neither named (first choices: Insycle) (alternatives: Cloudingo, DemandTools, HubSpot"s native data-quality tools)

## What the models said about Dedupely

- "but G2 notes it has limited data management functionality compared with fuller platforms" (GPT-5.4 mini, budget prompt, soft negative)
- "Fuzzy matching reliant tools: Dedupely, Cloudingo, etc., need careful ruleset tuning" (Grok 4.1 Fast, negative prompt, soft negative)
- "Good value, but lighter on continuous quality features" (DeepSeek V4 Flash, scale prompt, soft negative)
- "Dedupely looks like a good budget pick: its published pricing starts at $19/month for up to 30,000 CRM records" (GPT-6 Luna, budget prompt, first choice)
- "the strongest fit in the results is Dedupely for HubSpot/Pipedrive users or DemandTools for Salesforce users" (Perplexity Sonar, budget prompt, first choice)
- "Dedupely - Best Overall Value ... Choose Dedupely for CRM-integrated deduplication at $19-40/month" (GLM 4.7 FlashX, budget prompt, first choice)

## What the models said about Cleanlist

- "Cleanlist stands out as the best overall solution due to its affordability, ease of use, and comprehensive feature set" (Mistral Small, direct prompt, first choice)
- "the best data quality tools for RevOps and CRM teams in 2026 are Cleanlist for verified enrichment and cleansing" (Muse Glimmer 30B, comparative prompt, first choice)
- "The best CRM data quality and deduplication tool for a mid-market B2B company is Cleanlist" (Llama 4 Maverick, direct prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.
