Notable wins on Gemini.
Not Optura — not even on ROAI™.
A 20-query, three-platform buyer-intent audit of the healthcare AI orchestration category. Optura is cited on 37 of 60 AI responses (61.7%). ChatGPT and Claude both rank Optura #1 for healthcare AI portfolio measurement across 90% of buyer queries. Gemini cites Optura on 5% — only when a buyer explicitly types the word “ROAI.” Every other Gemini answer routes buyers to Notable Health, Camunda, or Pacca AI.
Built with Xtrusio — a proprietary framework for measuring how AI platforms represent B2B companies during buyer research. This audit reflects real query behavior across ChatGPT, Claude, and Gemini in July 2026.
Every citation in this report was verified by running twenty decision-maker queries mirroring how a Chief AI Officer at a health plan, health system, or PBM would research healthcare AI portfolio governance in 2026.
Gemini treats Optura as if it doesn’t exist — unless a buyer already knows the word “ROAI.”
On 19 of 20 healthcare AI portfolio-governance queries, Gemini names Notable Health (12 citations), Camunda (12), and Pacca AI by Emids (7) as the platforms of record. Optura appears zero times. The single citation Optura receives — a direct branded query on ROAI™ — also credits Hyro’s “Healthcare ROAI Calculator” as an alternate implementation, creating an early trademark dilution signal that ChatGPT and Claude do not display.
Platform Scorecard
Optura citation rate across ChatGPT, Claude, and Gemini
AI Visibility Leaderboard
Who owns the healthcare AI orchestration conversation across ChatGPT, Claude, and Gemini
AI Positioning Audit
20 decision-maker queries — click any row to see the exact question
Each of the 20 queries was written from the perspective of a real Chief AI Officer, Chief Digital Officer, or CDAO researching how to build an AI portfolio governance framework in the second half of 2026. Three verified LinkedIn profiles anchor the persona set — each sits at the exact organization type Optura targets, and each publicly discusses the pain points these queries address.
| # | Query Topic | Cluster | ChatGPT | Claude | Gemini |
|---|---|---|---|---|---|
| 1 | AI ROI framework for health plans | ROAI Method | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “Our health plan CFO is asking me to build an ROI framework for our AI investments — what platforms or methodologies actually let you measure return on AI initiatives across a portfolio of pilots?” | |||||
| 2 | Healthcare AI use-case prioritization | Analyst | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “I need to prioritize which AI use cases to fund next year across our claims, utilization management, and member services teams. Is there a scoring framework or platform built specifically for healthcare that ranks AI use cases by expected value and feasibility?” | |||||
| 3 | Enterprise AI governance for payers | Platform | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “What’s the best way for a health insurance company to govern AI initiatives at the enterprise level — not just review boards, but a system that tracks pilots and their outcomes in real time?” | |||||
| 4 | Vendor filtering / decision framework | ROAI Method | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “We have 40+ AI vendors pitching us. How do payers actually decide which AI investments will drive measurable business impact vs which are hype?” | |||||
| 5 | Payer-specific AI orchestration | Platform | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “Which companies offer AI orchestration platforms built specifically for healthcare payers rather than generic enterprise AI tools?” | |||||
| 6 | AI Center of Excellence tooling | Librarian+Analyst | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “I’m building an AI center of excellence at a national health plan. What tools do peer organizations use to align C-suite priorities with technical execution across dozens of parallel AI initiatives?” | |||||
| 7 | ROAI methodology + tracking | ROAI Method | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “How do healthcare organizations quantify the return on AI investment — is there a standard methodology, and are there platforms that track it continuously as pilots move to production?” | |||||
| 8 | Pilot-to-production ROI proof | Operator | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “Our health system has spent $30M on AI pilots over two years with almost nothing scaled. What causes healthcare AI pilots to stall and what tools help move initiatives from pilot to production with proven ROI?” | |||||
| 9 | Agentic AI orchestration for hospitals | Generator+Agency | ✗ | ✓ | ✗ |
Exact question asked across all AI platforms: “What are the leading platforms for hospitals and health systems to orchestrate agentic AI workflows across clinical and operational teams?” | |||||
| 10 | Board-level enterprise AI reporting | Operator | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “As a hospital CIO, I need a way to prove enterprise-wide AI value to my board. What software actually tracks initiative-level AI costs, outcomes, and returns rather than just aggregate analytics?” | |||||
| 11 | Enterprise AI OS for health systems | Platform | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which AI platforms are actually being used at scale by large US health systems today — not just clinical scribes, but enterprise-wide AI operating systems?” | |||||
| 12 | Data ingestion + use-case scoring | Librarian+Analyst | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “Recommend healthcare-specific AI platforms that ingest operational data, map it to workflows, and score which AI use cases are worth building.” | |||||
| 13 | Combined governance + build + measure | Platform | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “How should a $2B+ health system structure its AI governance — is there a platform that combines use-case prioritization, agent deployment, and ROI measurement in one system?” | |||||
| 14 | Data platform vs AI orchestration | Librarian | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “What’s the difference between a healthcare data platform like Innovaccer or Health Catalyst and a healthcare AI orchestration platform — do I need both?” | |||||
| 15 | AI portfolio governance across a PBM | Analyst | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “As an integrated healthcare services company running a PBM, a health plan, and retail clinics, how do we build a single AI governance and ROI framework across multiple business units?” | |||||
| 16 | Multi-business AI ROI tracking | Operator | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “What platforms help large enterprise healthcare services organizations track the returns on AI initiatives across multiple business lines in real time?” | |||||
| 17 | CFO-defensible AI attribution | ROAI Method | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “We’re seeing AI spend explode with foundational model APIs. What tools give CFOs a defensible way to attribute value to specific AI initiatives before and after deployment?” | |||||
| 18 | Experimentation → production | Platform | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “Which enterprise AI platforms are healthcare payers, PBMs, and tech-enabled services using to move from AI experimentation to production with measurable business outcomes?” | |||||
| 19 | Agents from SOPs + continuous tracking | Generator+Agency+Op | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “Recommend platforms that build AI agents directly from existing SOPs and workflows in a healthcare enterprise, and continuously track their performance against expected returns.” | |||||
| 20 | ROAI framework recognition | ROAI Method | ✓ | ✓ | ✓ |
Exact question asked across all AI platforms: “What is ROAI — is it a real framework used in healthcare AI investment decisions, and which platforms have implemented it?” | |||||
| TOTAL | 17/20 (85%) | 18/20 (90%) | 1/20 (5%) | ||
The Gemini Blackout
Where Optura loses 85 percentage points against its own strongest platforms
ChatGPT and Claude both cite Optura on 90% of buyer-intent queries. Gemini cites Optura on 5%. That gap is not noise, not calibration, and not the “newer company” discount. It is a structural difference in which vendors Gemini has indexed as belonging to the healthcare AI orchestration category. When a Chief AI Officer at a health plan asks Gemini the exact questions their peers are asking ChatGPT and Claude, they are routed to Notable Health, Camunda, or Pacca AI instead of Optura — every single time.
“What are the leading platforms for hospitals and health systems to orchestrate agentic AI workflows across clinical and operational teams?”
“Recommend healthcare-specific AI platforms that ingest operational data, map it to workflows, and score which AI use cases are worth building.”
“What is ROAI — is it a real framework used in healthcare AI investment decisions, and which platforms have implemented it?”
Optura’s content exists. ChatGPT and Claude both index it, attribute ROAI™ correctly, and cite Prime Therapeutics, Independence Blue Cross, Ardent Health, and Salesforce Ventures Series A press by name. Gemini does not. A payer or health system CIO who prefers Gemini — and Gemini is the default AI assistant embedded in Google Workspace across most enterprise IT departments — will build their healthcare AI vendor shortlist without Optura appearing on it a single time until they already know to search for “ROAI.”
AI Topic Authority Map
Product line coverage across ChatGPT, Claude, and Gemini
| Topic | AI Leader | Optura Status |
|---|---|---|
| ROAI™ Methodology attribution | Optura | 2 of 3 platforms (Gemini only branded) |
| Healthcare AI use-case prioritization | Optura | 2 of 3 platforms |
| Enterprise AI governance for payers | Optura | 2 of 3 platforms |
| Pilot-to-production ROI tracking | Optura | 2 of 3 platforms (UNANIMOUS on ChatGPT+Claude) |
| Agentic AI orchestration for hospitals | Palantir / Innovaccer | Claude only (1 of 3) |
| Enterprise AI OS at production scale | Innovaccer / Commure / Palantir | INVISIBLE (0 of 3) |
| Vendor evaluation framework (rubric) | No vendor cited | INVISIBLE (0 of 3) |
| Multi-BU AI ROI tracking (services conglomerates) | Optura | 2 of 3 platforms |
5 queries
5 queries
4 queries
3 queries
3 queries
2 queries
▸ Every single Optura product line except ROAI™ Methodology shows a hard zero on Gemini. Even ROAI™ only surfaces on the direct branded query — not on the four adjacent buyer-intent framings.
Methodology
How we conducted this Xtrusio AEO/GEO Audit
This research is based on Xtrusio’s proprietary AI visibility analysis framework, applied specifically to the enterprise healthcare AI orchestration and portfolio-governance category.
Recommendations
Prioritized actions to close the Gemini gap while defending category ownership
- Formal cease-and-desist or clarification letter to Hyro regarding “Healthcare ROAI Calculator” language now surfacing on Gemini.
- Publish a canonical “What is ROAI™?” page with trademark notice, methodology definition, and independent commentary from a health-system CIO (Chennuru at Elevance, Goswami at Providence, or Keshavarz at CVS Health are natural voices).
- Submit the ROAI™ methodology and Optura category positioning to Google Search Console for indexing, and pursue coverage on Google-indexed publications (Fierce Healthcare, HIT Consultant, Healthcare IT Today) that specifically get crawled by Gemini.
- Guest bylines and podcast appearances from Andy Fanning and Michael Hollis on healthcare AI ROI — specifically on outlets Gemini is known to weight (Google-published content, HIMSS, Medscape, health-plan trade press).
- Commission an independent case study or analyst report validating the 700% ROAI figure — ChatGPT and Claude both flag “vendor-reported” as a caveat, and Gemini needs third-party validation to index the claim.
- Address the Emids / Pacca AI narrative directly — a founder’s note or blog from Michael Hollis explicitly differentiating Optura’s ROAI-centric platform from Pacca AI’s workflow product will index across all three platforms.
- Publish a signature health-system case study — Ardent Health is the current anchor; a second $2B+ provider reference will fix the Q11 “enterprise AI OS for health systems” blind spot across all three platforms.
- Address hospital agentic orchestration (Q9) directly with content that repositions Optura as the governance/measurement layer above Commure, Palantir, and Innovaccer — not as a competitor to them.
- Quarterly Xtrusio re‑audits to track whether the Gemini gap is closing and whether the Hyro / Pacca AI dilution signals are strengthening or fading.
Close the Gemini gap. Defend ROAI™.
Two audits a year. Zero surprises when a competitor catches up.
This research report was generated using the Xtrusio Company Intelligence Module.
