4 categories · RankedGaviti
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| B2B credit management | Receivables and billing | 14% | 2 of 82 | 0% | 18 | accepted challenger |
| Accounts receivable automation | Receivables and billing | 4% | 8 of 77 | 0% | 9 | under 10 labels · led by Zoho Books at 15% |
| Cash application | Receivables and billing | 2% | 11 of 83 | 15% | 13 | accepted challenger |
| B2B payment acceptance | Receivables and billing | 2% | 11 of 91 | 0% | 3 | under 10 labels · led by Helcim at 17% |
Movement
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 1 | 0 | 0 | 3 |
| GPT-5.4 mini | 0 | 0 | 1 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 4 | 2 | 0 | 6 |
| Perplexity Sonar | 1 | 2 | 0 | 0 | 3 |
| Grok 4.1 Fast | 1 | 4 | 2 | 0 | 7 |
| Mistral Small | 3 | 1 | 0 | 0 | 4 |
| DeepSeek V4 Flash | 0 | 3 | 1 | 1 | 5 |
| Llama 4 Maverick | 0 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 1 | 1 | 1 | 0 | 3 |
| Kimi K2 | 2 | 0 | 1 | 0 | 3 |
| GLM 4.7 FlashX | 1 | 3 | 0 | 0 | 4 |
| MiniMax M2.5 | 0 | 2 | 0 | 1 | 3 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Gaviti is ideal if you need a fast time-to-value solution that combines credit management with invoice-to-cash automation” Mistral Small · B2B credit management · paraphrase prompt · first choice
“Gaviti if you benefit from AI‑driven risk scoring and behavioral insights to prioritize collection effort.” GLM 4.7 FlashX · Accounts receivable auto · paraphrase prompt · first choice
“Gaviti or Tesorio tend to offer the best balance of credit management depth and rapid deployment” Kimi K2 · B2B credit management · direct prompt · first choice
“If fast time-to-value (weeks, not months) & collections focus: Gaviti (top G2-rated for mid-market).” Grok 4.1 Fast · B2B credit management · direct prompt · first choice
And against it
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.
“lowest invoice-matching accuracy score (6.9/10) among major peers. If matching is your core problem, look elsewhere.” DeepSeek V4 Flash · Cash application · paraphrase prompt · soft negative
“AI-powered cash application, but may be overkill for very small budgets” MiniMax M2.5 · Cash application · budget prompt · soft negative
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 84 of the 93 answers that named Gaviti and are not a share of its labels.
Domains cited
315 of the 315 domain citations in answers naming Gaviti came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Names read as Gaviti
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