Aon Edge AI Market Strategy Report - Flood Insurance

Answer Capsule

Aon Edge appears in 6.6% of AI responses across six platforms but earns a valid recommendation in only 2.3% of observations. The carrier shows a net sentiment score of 0.38, indicating AI systems frame it neutrally or positively when mentioned, but rarely rank it as a recommended option. Aon Edge's strongest platform is Google AI Mode, where it achieves a 5.2% recommendation coverage and a 0.92 net sentiment score. Its clearest weakness is near-invisibility on ChatGPT and Perplexity, where it receives zero valid recommendations. The clearest opportunity is converting its strong neutral visibility into recommendation-stage presence by strengthening the public evidence layer that AI systems use to build buyer shortlists.

Who This Report Is For

This report is for Aon Edge's marketing, product, and strategy teams evaluating how AI-driven buyer discovery is shaping carrier consideration in the flood insurance category.

Report Card

• Report type: AI Company Market Strategy Report
• Target company: Aon Edge
• Category / market studied: Flood Insurance
• Reporting month: June 2026
• AI platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity
• Public high-intent clusters: 3 (Discovery and Evaluation, Comparison and Alternatives, Pricing and Cost Research)
• AI observations analyzed: 1,108
• Competitors tracked: 10 (Chubb, Allstate, Hiscox, Neptune Flood, FEMA NFIP, Wright Flood, Assurant, Palomar, Aon Edge, The Flood Insurance Agency)

Executive Summary

Aon Edge holds a modest presence in AI-driven flood insurance discovery but has not converted that presence into meaningful recommendation power. Across 1,108 observations spanning six AI platforms, Aon Edge appears in 73 responses, a raw mention presence rate of 6.6%. Of those appearances, 28 are positive, 45 are neutral, and none are negative. The carrier earns a valid recommendation in only 25 observations, a recommendation coverage rate of 2.3%.

The gap between mention presence and recommendation coverage is significant. Aon Edge is present in AI responses but is rarely placed in a ranked shortlist. Its average recommended rank of 3.38 is competitive when it does appear, but the carrier appears too infrequently to capture meaningful buyer attention. Its modeled monthly AI Authority Value of $14,003 represents 0.03% of the total $40.5 million category opportunity.

Aon Edge's strongest cluster is Discovery and Evaluation, where it achieves a 2.9% recommendation coverage and a perfect net sentiment score of 1.0. Its weakest cluster is Comparison and Alternatives, where recommendation coverage drops to 2.1% and net sentiment falls to 0.29. The carrier performs best on Google AI Mode, where it achieves a 5.2% recommendation coverage and a 0.92 net sentiment score. It is virtually absent from ChatGPT, where it appears in only 3 responses and receives zero valid recommendations.

The competitive context is challenging. Chubb dominates the category with a 46.1% recommendation coverage and a modeled monthly AI Authority Value that places it at the top of the category. Allstate holds a strong second position at 19.2% recommendation coverage. Aon Edge's 2.3% recommendation coverage places it in the lower tier alongside Palomar, Wright Flood, and The Flood Insurance Agency.

When AI systems build flood insurance buyer shortlists, they consistently select Chubb or Allstate first. Aon Edge's appearances tend to be contextual references rather than ranked selections. The carrier's citation architecture and public evidence layer do not yet support the kind of recommendation-stage retrieval that competitors in the top two positions benefit from across most platforms.

What Aon Edge Is Winning

Aon Edge's clearest win is its performance on Google AI Mode. On this platform, the carrier appears in 13 responses and earns a valid recommendation in 10 of them, a 5.2% recommendation coverage rate that is more than double its overall category average. Its net sentiment score of 0.92 on Google AI Mode is the highest across all platforms tracked in this benchmark, meaning AI systems frame Aon Edge positively when they surface it in this context.

Aon Edge also shows a perfect net sentiment score of 1.0 in the Discovery and Evaluation cluster, with zero neutral or negative mentions across 11 appearances. When AI systems retrieve Aon Edge in early-stage buyer prompts, they frame it without reservation. That framing quality, while limited in volume, is a meaningful signal that the carrier's public narrative is not working against it.

The carrier's average recommended rank of 3.38 is competitive within the category. When Aon Edge does earn a valid recommendation, it typically appears in the top four positions. That rank is strong enough to capture buyer attention when the carrier appears on a shortlist.

Where Aon Edge Has the Clearest AI Visibility Gaps

Aon Edge's most significant gap is its low recommendation conversion rate. The carrier appears in 73 responses but earns only 25 valid recommendations. That means 65.8% of its appearances are neutral references rather than recommendation-stage selections. AI systems retrieve the Aon Edge name but do not consistently rank it as a recommended option.

The carrier is nearly invisible on ChatGPT and Perplexity. On ChatGPT, Aon Edge appears in only 3 responses and receives zero valid recommendations. On Perplexity, it appears in 19 responses but also receives zero valid recommendations. Both platforms account for a material share of the category's AI discovery activity, and Aon Edge is capturing no recommendation value on either.

In the Comparison and Alternatives cluster, Aon Edge's net sentiment score drops to 0.29, the lowest across all three clusters. This cluster represents buyers who are actively comparing carriers before making a decision. The analysis found that Aon Edge is being surfaced as a contextual reference in these comparisons rather than as a preferred option. Its recommendation coverage in this cluster is only 2.1%.

Compared to Chubb's 46.1% recommendation coverage and Allstate's 19.2%, Aon Edge's 2.3% coverage leaves it exposed to consistent competitor displacement. Buyers who encounter AI-generated flood insurance shortlists are directed toward carriers that earn recommendation credit. Aon Edge is rarely among them.

Biggest Opportunity

Aon Edge's biggest opportunity is converting its strong neutral visibility into recommendation-stage presence on Google AI Mode and Google AI Overviews. These two platforms account for the majority of Aon Edge's positive appearances and recommendation value. The carrier already achieves a 5.2% recommendation coverage on Google AI Mode and a 0.46 net sentiment score on Google AI Overviews. Both signals suggest a foundation that can be built on.

The Discovery and Evaluation cluster is the right entry point. Aon Edge already holds a perfect net sentiment score in this cluster. Building a deeper citation architecture around early-stage buyer prompts, including structured comparison content, authoritative third-party references, and owned answer-layer pages that address common flood insurance discovery questions, could increase the frequency with which AI systems retrieve and recommend Aon Edge as a shortlist option. Converting that cluster from a neutral reference signal to a consistent recommendation signal is the most direct path from where Aon Edge stands today to a materially higher recommendation coverage rate.

Prompt Evidence

Google AI Mode / Discovery and Evaluation Prompt: "What are the best flood insurance companies?" Result: Aon Edge was recommended in the top three positions with positive framing, representing the carrier's strongest observed recommendation signal across the benchmark.

Google AI Overviews / Pricing and Cost Research Prompt: "Compare flood insurance costs between carriers" Result: Aon Edge appeared as a neutral reference without earning a ranked recommendation, consistent with its pattern of contextual mention without recommendation conversion.

ChatGPT / Comparison and Alternatives Prompt: "Which flood insurance carrier offers the best coverage?" Result: Aon Edge was not mentioned or recommended, illustrating the carrier's near-complete absence from ChatGPT recommendation responses.

Perplexity / Discovery and Evaluation Prompt: "Who provides flood insurance besides FEMA?" Result: Aon Edge appeared in a list of carriers but was not assigned a ranked recommendation, reflecting its broader pattern of list-level presence without shortlist selection.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Aon Edge's current recommendation coverage, platform gaps, and competitor displacement across all three public clusters to establish a precise baseline before any remediation begins.

Phase 2: Recommendation Readiness Plan Identify the specific prompts and platforms where Aon Edge is visible but not recommended, and define the evidence layer changes needed to convert those neutral appearances into recommendation-stage selections.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly addresses high-intent buyer prompts in the Discovery and Evaluation and Pricing and Cost Research clusters, with particular focus on the Google AI Mode and Google AI Overviews environments where Aon Edge already shows positive framing.

Phase 4: Citation and Authority Layer Development Strengthen third-party citations, structured comparison content, and authoritative sources that AI systems can retrieve to support positive, ranked recommendations across ChatGPT and Perplexity, where Aon Edge currently earns zero recommendation credit.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Aon Edge's recommendation coverage, rank position, and net sentiment across all six platforms on a monthly basis to measure whether changes to the evidence layer are producing recommendation-stage gains.

Why This Matters

AI systems are becoming a primary discovery channel for flood insurance buyers. Being mentioned in an AI response is not enough. Aon Edge is present in AI responses at a 6.6% rate but earns a valid recommendation in only 2.3% of observations. Buyers who see Aon Edge listed alongside Chubb and Allstate in an AI-generated response are being directed toward the carriers that earn recommendation credit. Aon Edge is not reliably among them.

The gap between visibility and recommendation power is where buyer decisions are lost. Aon Edge's next move is targeted correction of the prompt, page, and citation layers that determine whether AI systems recommend the carrier or surface it as a contextual reference. The benchmark shows the gap. The repair is structural and addressable.

Core Metrics

• Mentions: 73
• Valid recommendations: 25
• Top 3 recommendation count: 16
• Rank 1 recommendation count: 1
• Average recommended rank: 3.38
• Positive mentions: 28
• Neutral mentions: 45
• Negative mentions: 0
• Raw mention presence rate: 6.6%
• Valid recommendation coverage: 2.3%
• Top 3 recommendation rate: 1.4%
• Rank 1 recommendation rate: 0.1%
• Modeled monthly AI Authority Value: $14,003
• Strongest cluster by recommendation behavior: Discovery and Evaluation
• Strongest platform by recommendation behavior: Google AI Mode

Sentiment Score

Sentiment Score = (28 positive x 1) + (45 neutral x 0) + (0 negative x -1) divided by 73 total mentions = 0.38

A net sentiment score of 0.38 means Aon Edge is framed positively more often than negatively, but the majority of its appearances are neutral references rather than endorsements. This distinction matters for several reasons.

Unclassified mention counts are misleading. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equivalent signals and should not be counted as equivalent wins. Treating all 73 appearances as positive discovery events would overstate Aon Edge's actual recommendation position by a factor of nearly three. Classified sentiment is required before interpreting AI visibility data as a business signal.

Sentiment by Platform

Methodology

1. This report is an AI Company Market Strategy Report based on LLM Authority Index benchmark data. It is not a client implementation case study and does not reflect a CiteWorks Studio engagement with Aon Edge.
2. The reporting window is June 2026. Data reflects a point-in-time snapshot. AI platform behavior changes frequently and findings should be interpreted accordingly.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity.
4. A total of 1,108 observations were analyzed. Individual prompt counts were not provided in the source dataset. Unique prompt counts are unavailable in the public version of this benchmark.
5. Ten brands were included in the competitor universe: Chubb, Allstate, Hiscox, Neptune Flood, FEMA NFIP, Wright Flood, Assurant, Palomar, Aon Edge, and The Flood Insurance Agency. This is not a full market census of all flood insurance carriers.
6. Three public high-intent clusters were used: Discovery and Evaluation, Comparison and Alternatives, and Pricing and Cost Research. These clusters represent consideration-stage, evaluation-stage, and decision-stage buyer intent respectively.
7. Stage 0 extraction was used to identify and normalize brand appearances across raw AI response data prior to scoring and classification.
8. A mention is defined as any appearance of the company name in an AI-generated response, regardless of framing, sentiment, or rank.
9. A valid recommendation is defined as a positive, shortlist-quality selection or ranked recommendation that earns recommendation credit. Neutral references, contextual list appearances, and cautionary mentions are not counted as valid recommendations. This distinction is the basis of the recommendation coverage metric.
10. Ranking metrics include valid recommendation coverage, Top 3 rate, Rank 1 rate, average recommended rank, net sentiment score, modeled monthly AI Authority Value, and captured share of total category AI opportunity. Modeled values are estimates based on commercial intent proxies and are not revenue figures.
11. Ahrefs and organic search data were not included in the source dataset for this report. Traditional search visibility metrics are therefore not part of this analysis.
12. Limitations: This benchmark reflects a single point in time. AI outputs are dynamic and subject to change across platform versions and prompt variations. Modeled values are not revenue, pipeline, or booked demand. This report does not constitute a full audit of Aon Edge's AI visibility posture.

See How AI Is Recommending Your Brand

The benchmark shows the category shape and where Aon Edge stands within it. A company-specific analysis shows the repair map: which prompts are driving competitor displacement, which platforms carry the most commercial risk, which sources are shaping the AI answers that buyers see, and what changes to the evidence layer would improve recommendation-stage visibility. CiteWorks Studio can build that picture for Aon Edge across all six platforms and all three buyer-intent clusters.