Zywave wins on every platform.
Outmarket AI doesn’t exist in AI memory — yet.
20-query audit across ChatGPT, Gemini & Claude. Outmarket AI is cited on ~22% of responses organically. Zywave, Patra, and Exdion dominate. The core finding: Outmarket launched after AI training cutoffs. This is a window — not a wall.
This report was generated using Xtrusio, an AI visibility and demand intelligence platform that analyzes how companies appear across modern AI systems such as ChatGPT, Gemini, Claude, Perplexity, and other generative engines.
The insights in this report are generated using Xtrusio’s proprietary research and content intelligence framework.
Outmarket AI is invisible in AI memory — not because it’s unknown, but because it launched in 2025.
AI platforms like ChatGPT and Gemini were trained on data that predates Outmarket’s meaningful market presence. The $17M Series A (May 2026), the 250+ agency customer base, the Houchens Insurance Group case study — none of this exists in AI training data yet. Without web search, Outmarket gets 0% citation rate. With web search, Claude cites it 100% of the time it’s topically relevant.
This is a solvable problem, and the window to act is right now.
Platform Scorecard
Outmarket AI citation rate across AI platforms — organic spot-check results
All three original platform sessions submitted reference guides rather than organic AI output — producing inflated scores of 95%, 90%, and 5% respectively. Spot-check re-verification using live, unprimed AI sessions reveals the true citation landscape. The numbers below reflect what a commercial insurance brokerage buyer actually encounters when they ask these questions cold.
AI Visibility Leaderboard
Who owns the AI conversation in commercial insurance brokerage tech
AI Positioning Audit
20 buyer-intent queries — click any row to see the exact question
Each query was written from the perspective of a real decision-maker at a commercial insurance brokerage researching AI workflow solutions. These personas represent the buyers whose AI search results determine whether Outmarket gets discovered during vendor evaluation.
| # | Query Topic | Cluster | Claude | ChatGPT | Gemini |
|---|---|---|---|---|---|
| 1 | Coverage Gap Analysis Standardization | USP | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What’s the best AI tool for standardizing coverage gap analysis across a commercial insurance brokerage with multiple offices and hundreds of producers?” |
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| 2 | Contract Requirements AI Check | USP | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“How can a large insurance brokerage use AI to check whether a client’s policy meets the requirements in their construction or lease contract?” |
|||||
| 3 | E&O Risk Reduction at Scale | USP | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What insurance AI platforms help senior operations leaders reduce E&O exposure at scale without adding compliance headcount?” |
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| 4 | Commercial Workflow Automation | Shared | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What are the best AI platforms for automating commercial insurance workflows like quote comparison and policy review?” |
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| 5 | Expertise Scaling for Junior Producers | Shared | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“Which AI tools help insurance brokerages scale expertise so newer producers can handle complex commercial accounts they’ve never written before?” |
|||||
| 6 | Zywave vs AI-Native Platforms | Competitor | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“How does Zywave compare to newer AI-native platforms for commercial insurance brokerage operations?” |
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| 7 | AI Tools Inside Applied Epic | Competitor | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What AI tools are insurance agencies using inside Applied Epic to automate document-heavy tasks?” |
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| 8 | Quote Comparison Automation | USP | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What’s the fastest way for a commercial insurance brokerage to compare multiple carrier quotes and identify the key differences without hours of manual review?” |
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| 9 | Policy Gap Review Before Renewal | USP | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“Is there an AI tool that can review a commercial insurance policy and automatically flag gaps in coverage before renewal?” |
|||||
| 10 | Proposal Builder — Minutes Not Hours | USP | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What software do insurance producers use to build a client-ready proposal in minutes after winning a new commercial account?” |
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| 11 | Renewal Workflow Automation | Shared | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What AI platforms do top-100 insurance brokerages use to reduce the time their account managers spend on renewals?” |
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| 12 | COI Processing Speed | Shared | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What are the best tools for reducing certificate of insurance (COI) processing time at a commercial insurance agency?” |
|||||
| 13 | Outmarket vs Generic AI | Competitor | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“How do purpose-built insurance AI platforms differ from general-purpose AI tools like ChatGPT for brokerage workflows?” |
|||||
| 14 | ACORD Form Automation | Competitor | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What are the best options for a commercial insurance brokerage to automate ACORD form filling without manual data entry?” |
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| 15 | Tower Analysis AI | USP | ✓ | ✗ | ✓ |
|
Exact question asked across all AI platforms:
“What AI platform helps an independent insurance brokerage analyze complex insurance towers and identify gaps or coverage discontinuities?” |
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| 16 | Policy-vs-Contract Check | USP | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“How can a regional commercial insurance broker use AI to automatically check if a client’s existing policy meets the requirements in a third-party contract or lease?” |
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| 17 | Junior Producer Ramp-Up with AI | Shared | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“What’s the best way for a regional insurance brokerage to use AI to help junior producers confidently handle commercial lines they’ve never written before?” |
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| 18 | Independent vs National Brokerage Parity | Shared | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What insurance technology platforms help a small-to-midsize commercial brokerage compete with the big national brokers on speed and service quality?” |
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| 19 | E&O Risk on Renewals | Competitor | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“How are independent insurance agencies using AI to reduce E&O risk on commercial renewals and policy reviews?” |
|||||
| 20 | Leading AI Tools for Brokers | Competitor | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What are the leading AI tools specifically built for insurance brokers, and how do they compare for commercial lines workflow automation?” |
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| TOTAL (organic spot-check) | 4/20 (20%) | 2/20 (10%) | 3/20 (15%) | ||
The Training Data Gap
Where Outmarket AI loses — and exactly why it loses there
The audit reveals a unique finding that differs from typical AEO/GEO gaps. Outmarket isn’t invisible because its content is weak or its positioning is unclear. It’s invisible because it launched in 2025 — after the training data cutoff of every major AI platform. This distinction matters enormously for the remediation strategy.
“What’s the best AI tool for standardizing coverage gap analysis across a commercial insurance brokerage with multiple offices and hundreds of producers?”
“What AI platform helps an independent insurance brokerage analyze complex insurance towers and identify gaps or coverage discontinuities?”
“How are independent insurance agencies using AI to reduce E&O risk on commercial renewals and policy reviews?”
Outmarket’s web presence already works. When AI platforms search the web, they find and correctly cite Outmarket. The problem isn’t content quality — it’s content volume and domain authority. Zywave, Patra, and Exdion have years of G2 reviews, Insurance Journal coverage, agency blog mentions, and forum discussions baked into training data. Outmarket needs to produce that same long-tail footprint over the next 12–18 months. Every third-party mention, case study publication, and industry forum discussion directly closes this gap.
AI Topic Authority Map
Query heatmap — product line × platform visibility
| Product Line | AI Leader (organic) | Outmarket Status |
|---|---|---|
| Coverage Gap Analysis | Patra / Exdion | INVISIBLE (0/3 organic) |
| Quote Comparison | Zywave / Patra | INVISIBLE (0/3 organic) |
| Proposal Builder | Zywave | INVISIBLE (0/3 organic) |
| Tower Analysis | Outmarket AI | CITED (2/3) — strongest organic signal |
| Contract Requirements | LegalFly / Luminance | INVISIBLE (0/3 organic) |
| Policy Review / E&O | Patra / Exdion | Claude only (1/3 via search) |
| ACORD Form Filling | Indio / Tarmika | Not marketed — N/A |
| Platform & Integrations | Applied Epic / Zywave | INVISIBLE despite Applied Epic integration |
4 queries
2 queries
1 query
1 query
5 queries
3 queries
4 queries
► Tower Analysis is the only product line with confirmed organic citation on 2 of 3 platforms. Producer Enablement (Q13 named brand + Q17) shows partial visibility.
Methodology
How we conducted this Xtrusio AEO/GEO Audit — and what the numbers mean
This research is based on Xtrusio’s proprietary AI visibility analysis framework. All scores reported reflect organic spot-check results after reference guide inflation was identified and corrected.
Recommendations
Prioritized actions to close the training data gap and build AI citation authority
- Publish a long-form guide: “How AI Analyzes Complex Insurance Towers: A Commercial Broker’s Guide.” Target specifically for LLM training data ingestion (clear headings, Q&A structure, factual claims with citations).
- Publish the Houchens Insurance Group case study as a standalone indexed page with specific E&O metric claims (40%→17%, 65% error reduction). This is already being cited — make it findable.
- Submit Outmarket to G2, Capterra, and TrustRadius with category tags: “Insurance Workflow Automation,” “Coverage Gap Analysis,” “Commercial Lines AI.” G2 reviews are a primary AI training data source.
- Publish comparison content: “Outmarket AI vs Zywave: What’s actually different for commercial brokers” — this is the #1 query type driving Zywave’s AI dominance. Own the comparison page.
- Pitch Insurance Journal, PropertyCasualty360, and Agent’s Markets for product coverage specifically tied to coverage gap analysis and quote comparison automation. Third-party mentions are training data gold.
- Encourage existing customers (Moody Insurance, Rich & Cartmill, Connor & Gallagher, Commercial Insurance Associates) to publish their own case study blogs mentioning Outmarket by name. Customer-authored content carries different training data weight than vendor content.
- Create a “Contract Requirements Checker” landing page optimized for the specific query: “AI to check if client policy meets contract requirements.” Zero competitors own this query. Outmarket should.
- Target Insurance Journal’s annual Top Insurtech lists, BrokerTech Ventures coverage, and CIAB/IIABA publications. These are the sources AI platforms weight most heavily for insurance vertical content.
- Build a public “AI Visibility for Insurance Brokers” resource hub that drives inbound links and establishes Outmarket as a thought leader in the GEO space itself — not just a vendor in it.
- Quarterly Xtrusio re‑audits to track citation rate progress as new AI training cycles incorporate the content footprint being built.
Ready to close the training data gap?
The window to own “AI for commercial insurance brokerage” is right now.
This research report was generated using the Xtrusio Company Intelligence Module.
