| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| Revenue intelligence and forecasting | Sales | 0% | 30 of 75 | 33% | 18 | criticized challenger |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 1 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 1 | 2 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.1 Fast | 0 | 2 | 0 | 0 | 2 |
| Mistral Small | 0 | 0 | 0 | 1 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 1 | 2 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 0 | 1 |
| Kimi K2 | 0 | 1 | 1 | 1 | 3 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 1 | 2 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“Automated capture of emails/meetings, account scoring, CRM data quality” Grok 4.1 Fast · Revenue intel · comparative prompt · alternative
“Best For: Teams needing pipeline insights from customer history” GLM 4.7 FlashX · Revenue intel · comparative prompt · alternative
“Poor CRM data | Activity capture (People.ai)” Grok 4.1 Fast · Revenue intel · scale prompt · alternative
“data hygiene (People.ai)” Kimi K2 · Revenue intel · comparative prompt · alternative
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“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 · negative prompt · hard negative
“People.ai has experienced syncing issues, with multiple reviews noting that data syncing can be flaky” Claude Haiku 4.5 · Revenue intel · negative prompt · soft negative
“Best avoided if: Your team lacks data hygiene practices or you need conversation intelligence” GLM 4.7 FlashX · Revenue intel · negative prompt · soft negative
“MODERATE CAUTION... No prospecting data... Non-intuitive UI” Kimi K2 · Revenue intel · negative prompt · soft negative
Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 8 of the 48 answers that named People.ai and are not a share of its labels.
Forty-five of the forty-five domain citations in answers naming People.ai came from somebody else's page.
Pages are listed as the models cited them.
From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when People.ai's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as People.ai, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at people.ai is approved on the spot, any other address is reviewed by hand.
Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.