CiteWorks Studio

DeltaVision AI Market Strategy Report — Vision Insurance

Mark HuntleyBy Mark HuntleyFounder and CEO
6 minutes read

On this report

Key Takeaways

  • DeltaVision is mentioned in only 5 of 837 observations, showing low presence across the tracked AI environments.
  • The brand records 0 valid recommendations, 0 Top-3 placements, and 0 Rank-1 placements.
  • Google AI Overviews is the only platform with any positive visibility, while other platforms show none.
  • The main gap is conversion from factual mention to recommendation-ready positioning in comparison and pricing prompts.

This is an independent public analysis by CiteWorks Studio / LLM Authority Index. It is not affiliated with, endorsed by, or sponsored by DeltaVision unless explicitly stated.

Answer Capsule

DeltaVision appears in 5 of 837 AI observations and earns 0 valid recommendations. Visibility is not the same as being chosen, and this packet shows DeltaVision almost entirely outside the AI-generated shortlist layer.

Its clearest strength is limited factual recognition in VSP, Delta Dental, and Costco Optical-adjacent prompts. Its clearest weakness is recommendation conversion: DeltaVision records 0 Top-3 placements, 0 Rank-1 placements, and no rank-eligible average recommended rank.

The biggest opportunity is to move from factual mention to recommendation-ready positioning in comparison and pricing prompts.

Who This Report Is For

This report is for insurance marketing leaders, benefits teams, growth strategists, communications teams, and agency partners who need to understand whether AI systems recognize DeltaVision as a vision insurance option or actively recommend it in buying moments.

Report Card

Field

Value

Report type

AI Market Strategy Report

Target company

DeltaVision

Category

Vision Insurance

Reporting month

May 2026

AI platforms tracked

6

Public high-intent clusters

3

AI observations analyzed

837

Competitors tracked

VSP Vision Care, Ameritas, Davis Vision, EyeMed, Guardian Vision, Humana Vision, MetLife Vision, Spectera, UnitedHealthcare Vision

Executive Summary

DeltaVision appears in 5 of 837 observations and records 0 valid recommendations. That puts the brand in a low-presence, no-shortlist position in this packet.

Best Vision Insurance Discovery is the only cluster with any positive visibility, at 0.24% across 416 observations. Vision Insurance Comparison shows 1.31% neutral visibility across 229 observations, but no positive visibility and no ranked recommendation capture.

Vision Insurance Pricing shows 0.52% neutral visibility across 192 observations. That suggests DeltaVision can surface in narrow cost or retailer-acceptance contexts, but not yet as a recommended answer.

Platform performance is highly concentrated. Google AI Overviews is the only platform with positive visibility at 0.47%, while all six platforms show 0% Rank-1 rate.

What DeltaVision Is Winning

DeltaVision has limited but real recognition in factual contexts. AI systems can connect the brand to Delta Dental, VSP-related comparisons, and Costco Optical acceptance prompts.

The brand also carries no negative mentions in the packet. The issue is not negative reputation; it is absence from recommendation-stage answers.

That is a start, not a finish. DeltaVision is visible enough to be recognized in a few contexts, but not visible enough to control discovery, comparison, or pricing decisions.

Where DeltaVision Has the Clearest AI Visibility Gaps

The largest gap is recommendation capture. DeltaVision earns 0 valid recommendations, 0 Top-3 placements, and 0 Rank-1 placements across the full 837-observation dataset.

Discovery visibility is also extremely thin. In Best Vision Insurance Discovery, DeltaVision has only 0.24% positive visibility and no ranked recommendation positions.

Comparison and pricing are not converting. Both clusters show neutral presence, but neither produces positive shortlist movement.

Biggest Opportunity

DeltaVision should build clearer AI-readable category evidence around who it is for, how it compares, where it is accepted, and when it should be chosen over better-known vision insurance brands.

The immediate opportunity is not broad brand awareness alone. It is creating enough structured, consistent, comparison-ready evidence for AI systems to move DeltaVision from factual reference into recommendation consideration.

Competitive Landscape

Recommendation-stage strength is concentrated around VSP Vision Care, EyeMed, and Ameritas. DeltaVision sits in the low-capture group with no Top-3 or Rank-1 recommendation activity in this packet.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

VSP Vision Care

10.9%

10.4%

1.05

0.47

EyeMed

7.4%

0.0%

2.15

0.31

Ameritas

5.5%

0.6%

2.52

0.89

Davis Vision

2.5%

0.0%

2.81

0.23

UnitedHealthcare Vision

1.2%

0.0%

2.80

0.19

Humana Vision

0.1%

0.0%

2.00

0.41

DeltaVision

0.0%

0.0%

0.20

Guardian Vision

0.0%

0.0%

0.33

MetLife Vision

0.0%

0.0%

0.00

Spectera

0.0%

0.0%

0.02

Average recommended rank covers rank-eligible recommendations only.

Prompt Evidence

Google AI Overviews / Best Vision Insurance Discovery — _Best vision insurance Washington State _ Result: DeltaVision appears in the answer as a named option.

Google AI Mode / Vision Insurance Comparison — _VSP dental insurance _ Result: DeltaVision appears in an answer discussing combined dental and vision benefits.

Google AI Mode / Vision Insurance Comparison — _Delta Vision VSP _ Result: DeltaVision appears in an answer explaining its relationship to Delta Dental and VSP Vision Care.

Google AI Mode / Vision Insurance Comparison — _VSP Delta Vision _ Result: DeltaVision appears in an answer describing how the program may be administered in different state contexts.

Google AI Overviews / Vision Insurance Pricing — _Does Costco accept DeltaVision insurance? _ Result: DeltaVision appears in a retailer-acceptance answer connected to Costco Optical.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Strategy Audit

Map the discovery, comparison, and pricing prompts where DeltaVision is present, absent, displaced, or mentioned only as a factual reference.

Phase 2: Recommendation Readiness Plan

Prioritize clusters where DeltaVision has neutral visibility but no shortlist conversion, especially Vision Insurance Comparison and Vision Insurance Pricing.

Phase 3: Owned Answer Layer Buildout

Build answer-ready pages around plan availability, network access, retailer acceptance, employer benefits, state-specific administration, and comparison-ready buyer questions.

Phase 4: Citation / Authority Layer Development

Strengthen third-party evidence from comparison pages, benefits explainers, retailer contexts, plan directories, and review environments that AI systems can synthesize.

Phase 5: Monthly AI Visibility & Recommendation Tracking

Track whether DeltaVision moves from factual appearance into positive visibility, valid recommendation coverage, Top-3 placement, and Rank-1 capture over time.

Why This Matters

DeltaVision is not invisible, but it is not yet competitive in AI-generated recommendation moments. The dataset shows recognition without shortlist power.

That distinction matters because AI systems increasingly answer buying questions directly. A brand can be technically known by the model and still lose the buyer if it is omitted from “best,” “compare,” “cheapest,” or “accepted at” decision prompts.

For DeltaVision, the strategic priority is to make the brand easier to explain, compare, and recommend.

Core Metrics

Metric

Value

Mentions

5

Valid recommendations

0

Top 3 recommendation count

0

Rank #1 recommendation count

0

Average recommended rank

— (rank-eligible recommendations only; DeltaVision had no rank-eligible recommendations in this packet)

Positive mentions

1

Neutral mentions

4

Negative mentions

0

Raw mention presence rate

0.60%

Valid recommendation coverage

0.00%

Top 3 recommendation rate

0.00%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.2

Sentiment & Recommendation by Platform

Platform

Positive visibility rate

Rank-1 rate

Readout

ChatGPT

0.0%

0.0%

No positive visibility or rank-1 capture

Copilot

0.0%

0.0%

No positive visibility or rank-1 capture

Gemini

0.0%

0.0%

No positive visibility or rank-1 capture

Google AI Mode

0.0%

0.0%

Factual presence does not convert into positive visibility

Google AI Overviews

0.5%

0.0%

Only platform with positive visibility

Perplexity

0.0%

0.0%

No positive visibility or rank-1 capture

Methodology

This is a one-company AI Market Strategy Report for DeltaVision. All other tracked brands are treated as competitors relative to DeltaVision.

Reporting month is May 2026. The dataset was extracted on May 20, 2026.

Six AI environments were tracked: ChatGPT, Gemini, Perplexity, Copilot, Google AI Mode, and Google AI Overviews. The dataset contains 837 observations across three normalized public clusters: Best Vision Insurance Discovery, Vision Insurance Comparison, and Vision Insurance Pricing.

A mention counts when DeltaVision appears in an AI answer. A valid recommendation requires positive, shortlist-quality inclusion as defined in the dataset.

Per the dataset's methodology inputs, sentiment is scored “negative = -1, neutral = 0, positive = 1.” Rank eligibility is defined as: “Only positive valid recommendations receive rank credit.” That means average recommended rank reflects rank-eligible recommendations only.

This is a point-in-time packet. AI outputs shift with platform updates, prompt phrasing, geography, personalization, and source-ecosystem changes.

Request an AI Visibility Audit

CiteWorks Studio produces AI Market Strategy Reports showing where your brand appears, disappears, or gets recommended across ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, and Google AI Overviews. Request an AI Visibility Audit

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About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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