Data as of Aug 25, 2026 · Based on 1,998 AI responses · See how Parse measures this
Voice of Customer Text Analytics Platforms
ParseChatGPT + Google AIParse
https://parse.gl
Measured across ChatGPT & Google AI
Google| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 |  Alphabet | 38% | |
| 2 |  IBM | 31% | |
| 3 |  Microsoft | 27% | |
| 4 |  Amazon | 26% | |
| 5 |  OpenAI | 26% | |
| 6 |  SentiSumA top choice for ticket classification and summarizing customer feedback into themes. | A top choice for ticket classification and summarizing customer feedback into themes. | 25% |
| 7 |  Medallia | 20% | |
| 8 |  ZendeskDominant in ticket classification, often cited for its native AI triage features. | Dominant in ticket classification, often cited for its native AI triage features. | 18% |
| 9 |  LexalyticsPraised for handling industry-specific jargon and offering highly customizable sentiment models. | Praised for handling industry-specific jargon and offering highly customizable sentiment models. | 17% |
| 10 |  ChattermillFrequently cited for unifying customer feedback from multiple channels for analysis. | Frequently cited for unifying customer feedback from multiple channels for analysis. | 15% |
| 11 |  ThematicConsistently recommended for summarizing chats and feedback into actionable product themes. | Consistently recommended for summarizing chats and feedback into actionable product themes. | 14% |
| 12 |  Enterpret | 13% | |
| 13 |  Talkwalker | 10% | |
| 14 |  Arya.ai | 10% | |
| 15 |  Intercom | 9% | |
| 16 |  Brandwatch | 9% | |
| 17 |  Hugging Face | 8% | |
| 18 |  AssemblyAI | 8% | |
| 19 |  Twinword | 8% | |
| 20 |  Freshworks | 7% | |
| 21 |  Komprehend | 7% | |
| 22 |  QualtricsFrequently named as a top enterprise platform for analyzing survey and feedback sentiment. | Frequently named as a top enterprise platform for analyzing survey and feedback sentiment. | 6% |
| 23 |  Dovetail | 6% | |
| 24 |  Anthropic | 6% | |
| 25 |  Salesforce | 6% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
altexsoft.com is the page AI reaches for most here, cited in 29% of analyzed answers.
Jumped from outside the top 10 to #6 by March 2026, especially for handling jargon.
Dropped from #2 to #5 between Oct 2025 and Mar 2026, facing competition from cloud APIs.
From #24 to #1 between Oct 2025 and Mar 2026, dominating API-focused prompts.
“A general-purpose API that may struggle with sarcasm or domain-specific language.” → “A top-tier, robust NLP provider for sentiment and topic modeling at scale.”
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| SentiSum | 10% | 38% | |
 Amazon Comprehend | 33% | 14% | |
 Google Cloud Natural Language | 20% | 28% | |
 Azure AI Language | 25% | 11% | |
| Chattermill | 13% | 27% |
The two models disagree most about Medallia (ChatGPT #19, Google #5) and SentiSum (ChatGPT #13, Google #1).
Google has surged to the top of AI recommendations, now leading the niche for voice-of-customer text analytics platforms. This shift highlights a broader trend where AI assistants prioritize the foundational NLP APIs from major cloud providers like Google, Amazon, and IBM, often over more specialized analytics tools.
Across 1,998 AI responses, Alphabet is mentioned most, named in 38% of them, followed by IBM (31%) and Microsoft (27%).
Parse measures each brand's mention rate — the share of answers naming it — across 1,998 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.
GoogleGoogle Cloud Natural LanguageMicrosoftQualtricsSentiSumChattermillFrom late 2025,
Brands mentioned
GoogleGoogle Cloud Natural LanguageMicrosoftSentiSumSentiSumBrands mentioned
QualtricsSentiSumChattermillWe use a customer feedback tool. Who offers a text analytics integration to analyze sentiment?
From late 2025,
