Data as of Aug 25, 2026 · Based on 654 AI responses · See how Parse measures this
Cybersecurity Risk Assessment Consulting
Parse
https://parse.gl
National Institute of Standards and Technology (NIST) leads, named in 61% of answers, ahead of International Organization for Standardization (ISO) at 43% and Committee of Sponsoring Organizations of the Treadway Commission (COSO) at 38%.
AI assistants now consistently recommend the National Institute of Standards and Technology (NIST) as the primary resource for cybersecurity risk assessment. Over the past six months, responses have shifted from citing high-level organizations to recommending specific, actionable frameworks like and the .
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | The top-cited authority for recognized cybersecurity frameworks and SMB guidance. | 61% | |
| 2 | Frequently cited for its globally recognized standards, especially the ISO 31000 framework. | 43% | |
| 3 | A leading choice for enterprise risk management (ERM) that links risk to strategy. | 38% | |
| 4 | The primary recommendation for quantifying cybersecurity and operational risk in financial terms. | 38% | |
| 5 | Increasingly cited for its practical, prioritized controls that are suitable for SMBs. | 18% | |
| 6 | 15% | ||
| 7 | 10% | ||
| 8 | Recommended as a key government resource for small business cyber guidance. | 6% | |
| 9 | 5% | ||
| 10 | 5% | ||
| 11 | 5% | ||
| 12 | 4% | ||
| 13 | 4% | ||
| 14 | 3% | ||
| 15 | 3% | ||
| 16 | 3% | ||
| 17 | 3% | ||
| 18 | 3% | ||
| 19 | 3% | ||
| 20 | 2% | ||
| 21 | 2% | ||
| 22 | 2% | ||
| 23 | 2% | ||
| 24 | 2% | ||
| 25 | 2% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
metricstream.com is the page AI reaches for most here, cited in 32% of analyzed answers.
“A general standards body” → “The source of the specific, highly-recommended NIST Cybersecurity Framework (CSF)”
Dropped from #1 to #2 as AIs began recommending its specific ISO 31000 standard instead.
Jumped from outside the top 100 to rank #4 between November and March.
Rose from rank #11 to #7, becoming a staple recommendation for small businesses.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 39% | 30% | ||
| 43% | 20% | ||
| 9% | 28% | ||
| 22% | 26% | ||
| 24% | 20% |
The two models disagree most about Google Workspace (ChatGPT #24, Google #9) and Microsoft Defender (ChatGPT #25, Google #15).
Across 654 AI responses, National Institute of Standards and Technology (NIST) is mentioned most, named in 61% of them, followed by International Organization for Standardization (ISO) (43%) and Committee of Sponsoring Organizations of the Treadway Commission (COSO) (38%).
Parse measures each brand's mention rate — the share of answers naming it — across 654 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 consistently advises SMBs to build a risk-based roadmap using a neutral framework, explicitly pushing back against vendor-driven priorities. The NIST Cybersecurity Framework (nist-gov-2) and CIS Controls (cisecurity-org-2) are the top recommendations for providing this structure. Both ChatGPT and Google AI Overviews converged on this framework-first approach by early 2026.
AI consistently advises SMBs to build a risk-based roadmap using a neutral framework, explicitly pushing back against vendor-driven priorities. The NIST Cybersecurity Framework (nist-gov-2) and CIS Controls (cisecurity-org-2) are the top recommendations for providing this structure. Both ChatGPT and Google AI Overviews converged on this framework-first approach by early 2026.
This prompt elicits highly consistent recommendations for a core set of frameworks across AI platforms. (fairinstitute-org) is the universal choice for quantitative financial analysis, while (iso-org-3), COSO ERM (coso-org-2), and various NIST frameworks are recommended for enterprise, strategic, and IT contexts, respectively. This consensus was strong throughout the observation window.
What are the best frameworks for a risk manager to use for quantifying and prioritizing risks?
This prompt elicits highly consistent recommendations for a core set of frameworks across AI platforms. The FAIR Institute (fairinstitute-org) is the universal choice for quantitative financial analysis, while
ISO 31000 (iso-org-3), COSO ERM (coso-org-2), and various NIST frameworks are recommended for enterprise, strategic, and IT contexts, respectively. This consensus was strong throughout the observation window.