Data as of Aug 25, 2026 · Based on 2,005 AI responses · See how Parse measures this
HighRadius now leads AI recommendations for accounts receivable (AR) automation, having jumped from #12 to #1 since October 2025. This reflects a broader shift where AI assistants increasingly favor enterprise-grade, AI-powered platforms over simpler invoicing tools.
Receivables Management and Collections Solutions
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| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Now the top-cited brand for AI-driven, enterprise-grade AR automation. | 30% | |
| 2 | A leading choice for large firms needing comprehensive invoice-to-cash automation. | 27% | |
| 3 | Frequently recommended for its collaborative customer portals and mid-market collections focus. | 24% | |
| 4 | The dominant recommendation for AR automation that sends physical postal letters. | 22% | |
| 5 | 21% | ||
| 6 | 18% | ||
| 7 | 16% | ||
| 8 | 16% | ||
| 9 | 14% | ||
| 10 | 14% | ||
| 11 | 14% | ||
| 12 | 13% | ||
| 13 | 12% | ||
| 14 | A prominent B2B collections firm, noted for its national and international reach. | 11% | |
| 15 | 11% | ||
| 16 | A top B2B collection agency cited for nationwide licensing and high success rates. | 11% | |
| 17 | 10% | ||
| 18 | 8% | ||
| 19 | 7% | ||
| 20 | 7% | ||
| 21 | Consistently named for specialized medical denial management and revenue recovery services. | 7% | |
| 22 | 5% | ||
| 23 | 5% | ||
| 24 | 4% | ||
| 25 | 4% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
highradius.com is the page AI reaches for most here, cited in 24% of analyzed answers.
Rose from #12 in October 2025 to become the #1 most-mentioned brand by March 2026.
“A generally strong option for B2B collections.” → “A top-tier agency validated by certifications and technology use, like its Salesforce-based platform.”
Slipped from rank #3 in October 2025 to #10 by March 2026 amid rising competition.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 39% | 28% | ||
| 28% | 18% | ||
| 16% | 26% | ||
| 24% | 26% | ||
| 25% | 23% |
The two models disagree most about Quadient AR (ChatGPT #24, Google #8) and Chaser (ChatGPT #11, Google #25).
HighRadius now leads AI recommendations for accounts receivable (AR) automation, having jumped from #12 to #1 since October 2025. This reflects a broader shift where AI assistants increasingly favor enterprise-grade, AI-powered platforms over simpler invoicing tools.
Across 2,005 AI responses, HighRadius is mentioned most, named in 30% of them, followed by Billtrust (27%) and Versapay (24%).
Parse measures each brand's mention rate — the share of answers naming it — across 2,005 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
AI models consistently and overwhelmingly recommend Quadient for AR automation that includes physical mail. Responses on both ChatGPT and Google AI Overviews frequently mention its ability to integrate postal mail delivery into automated workflows, often alongside third-party mail APIs like
Lob.
Brands mentioned
Who offers "accounts receivable" automation that sends physical letters for collections?
AI models consistently and overwhelmingly recommend Quadient for AR automation that includes physical mail. Responses on both ChatGPT and Google AI Overviews frequently mention its ability to integrate postal mail delivery into automated workflows, often alongside third-party mail APIs like
Lob.
Responses are dominated by HighRadius, , and , especially from late 2025 onward. Over time, AI answers evolved from providing simple lists to segmenting recommendations by business size (Enterprise vs. SMB) and specific use cases like AI-driven forecasting or collaborative AR.
Brands mentioned
What is the best accounts receivable (AR) automation software?
Responses are dominated by HighRadius,
Billtrust, and
Versapay, especially from late 2025 onward. Over time, AI answers evolved from providing simple lists to segmenting recommendations by business size (Enterprise vs. SMB) and specific use cases like AI-driven forecasting or collaborative AR.