Data as of Aug 25, 2026 · Based on 923 AI responses · Shares cover the last 30 days · See how Parse measures this
Krisp has surged to the #1 position in AI speech analytics, dominating recommendations for real-time accent localization for call centers. This highlights a broader trend where the market is fragmenting, with specialized tools for specific use cases like accent conversion and consent gaining ground on general-purpose summarizers.
AI Speech Analytics and Meeting Summaries
Parse
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| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Dominant for accent conversion and a popular bot-free recorder. | 30% | |
| 2 | A leading choice for live transcription, though its bot-based approach is noted. | 27% | |
| 3 | Gaining traction for automated meeting notes and support call summaries. | 25% | |
| 4 | Faded from its early leadership in contact center speech-to-summary solutions. | 21% | |
| 5 | Frequently named a pioneer in real-time accent translation technology for call centers. | 18% | |
| 6 | Consistently cited for consent-based recording via a transparent browser extension. | 18% | |
| 7 | 16% | ||
| 8 | A top API-based middleware option for real-time accent softening. | 16% | |
| 9 | 16% | ||
| 10 | 16% | ||
| 11 | 15% | ||
| 12 | 15% | ||
| 13 | A popular bot-free recorder, recommended as a privacy-focused browser extension. | 12% | |
| 14 | 12% | ||
| 15 | 11% | ||
| 16 | 11% | ||
| 17 | 11% | ||
| 18 | 11% | ||
| 19 | 11% | ||
| 20 | 10% | ||
| 21 | 10% | ||
| 22 | 10% | ||
| 23 | 9% | ||
| 24 | 9% | ||
| 25 | 9% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
krisp.ai is the page AI reaches for most here, cited in 35% of analyzed answers.
Emerged in December 2025 and became the top-cited solution for this prompt by January 2026.
“A general-purpose recommendation for transcription and summaries.” → “A tool whose visible bot is framed as both a positive for consent and a potential negative for users wanting no bot.”
Rose from a 13% mention rate to 28% between October 2025 and March 2026.
Dropped from the #1 position in October 2025 to #9 overall by March 2026.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 28% | 38% | ||
| 28% | 17% | ||
| 0% | 24% | ||
| 24% | 12% | ||
| 15% | 20% |
Across 923 AI responses, Krisp is mentioned most, named in 30% of them, followed by Otter.ai (27%) and Fireflies (25%).
Parse measures each brand's mention rate — the share of answers naming it — across 923 AI responses to this market's buyer questions over the last 30 days. Answers are collected daily and the ranking is re-measured on the same 30-day window.
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 initially recommended contact-center native tools like Voiso in late 2025. By early 2026, recommendations broadened to include general-purpose meeting assistants like
Otter.ai and
Fireflies as well as other voice platforms with deep CRM integrations such as
and . This indicates a shift from specialized tools to more versatile AI assistants that can serve support use cases.
What’s the best speech-to-summary solution for support calls?
AI initially recommended contact-center native tools like Voiso in late 2025. By early 2026, recommendations broadened to include general-purpose meeting assistants like
Otter.ai and
Fireflies as well as other voice platforms with deep CRM integrations such as and . This indicates a shift from specialized tools to more versatile AI assistants that can serve support use cases.
AI answers consistently recommend a core group of specialized providers. While several brands like Sanas and were cited early, emerged in December 2025 and quickly became the dominant recommendation for its on-device deployment model. Other key players frequently mentioned include and Tomato.ai, often framed as API-first solutions.
We use a call center software. Who offers real-time accent localization middleware?
AI answers consistently recommend a core group of specialized providers. While several brands like Sanas and
Meeami Technologies were cited early,
Krisp emerged in December 2025 and quickly became the dominant recommendation for its on-device deployment model. Other key players frequently mentioned include
Utell AI and Tomato.ai, often framed as API-first solutions.