# People.ai: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 18 judge labels across 1 categories by 11 of 12 models. Page: https://gtm-ai-index.com/vendors/people-ai/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Revenue intelligence and forecasting | 0% | 30 | 33% | 18 |

## What the models said for it

- "Automated capture of emails/meetings, account scoring, CRM data quality" (Grok 4.1 Fast, Revenue intel)
- "Best For: Teams needing pipeline insights from customer history" (GLM 4.7 FlashX, Revenue intel)
- "Poor CRM data | Activity capture (People.ai)" (Grok 4.1 Fast, Revenue intel)
- "data hygiene (People.ai)" (Kimi K2, Revenue intel)

## And against it

- "Avoid if you are a small or non-enterprise team... Avoid it if your sales team is under 20 reps" (Gemini 3.5 Flash, Revenue intel)
- "People.ai has experienced syncing issues, with multiple reviews noting that data syncing can be flaky" (Claude Haiku 4.5, Revenue intel)
- "Best avoided if: Your team lacks data hygiene practices or you need conversation intelligence" (GLM 4.7 FlashX, Revenue intel)
- "MODERATE CAUTION... No prospecting data... Non-intuitive UI" (Kimi K2, Revenue intel)

## The company

People.ai, Inc.; https://www.people.ai/; San Francisco. From Wikidata, fetched 2026-09-14.

## 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.