Barnet Dulaney Perkins AI Market Strategy Report - LASIK Eye Surgery

Answer Capsule

Barnet Dulaney Perkins holds a modest but real position in AI-generated recommendations for LASIK eye surgery, with valid recommendation coverage of 2.36% in September 2026. The brand appears in AI answers at a rate nearly three times its recommendation rate, signaling visibility without consistent conversion into shortlist placement. Its clearest strength is a positive net sentiment score of 0.42, suggesting that when the brand is discussed, framing tends to be favorable. The clearest opportunity lies in converting its existing mention presence into stronger top-three recommendation placement, where it currently trails category leaders by a wide margin.

Who This Report Is For

This report is for marketing, digital strategy, and growth leaders at Barnet Dulaney Perkins seeking to understand how AI search surfaces currently present the brand within LASIK eye surgery discovery.

Report Card

Executive Summary

Barnet Dulaney Perkins holds a visible but under-recommended position in the LASIK Eye Surgery benchmark. The brand appeared in 19 of 254 qualified observations in September 2026, a raw mention presence rate of 7.48%, yet converted only 2.36% of those observations into valid recommendations. This gap between presence and recommendation conversion is the defining pattern of the brand's current AI visibility profile.

Sentiment framing is favorable. Barnet Dulaney Perkins recorded 8 positive mentions, 11 neutral mentions, and zero negative mentions across the observation set, producing a net sentiment score of 0.42. No tracked brand in the category recorded negative visibility above 0.79%, and Barnet Dulaney Perkins sits comfortably within the positive framing tier.

The brand's strongest platform signal comes from Google AI Overviews, where it achieved 4.39% valid recommendation coverage and its only rank-one placement. Google AI Mode also contributed a recommendation, while ChatGPT, Copilot, Gemini, and Perplexity produced presence without meaningful recommendation credit.

The clearest gap is top-three placement. Barnet Dulaney Perkins recorded a top-three rate of 2.36%, compared with LasikPlus at 17.32% and The LASIK Vision Institute at 12.20%. The brand's average recommended rank of 2.5 among its six valid recommendations shows that when it is recommended, it tends to appear prominently, but those moments remain infrequent.

What Barnet Dulaney Perkins Is Winning

Questions This Section Answers

• What strengths does Barnet Dulaney Perkins show in AI-generated LASIK recommendations?
• How does the brand's sentiment profile compare with category leaders like LasikPlus?

Barnet Dulaney Perkins demonstrates a clean sentiment profile. With zero negative mentions across all platforms in September 2026, the brand avoids the cautionary framing that can suppress recommendation eligibility. Its net sentiment score of 0.42 places it above the category leader LasikPlus at 0.34 and ahead of several mid-tier competitors.

The brand also shows meaningful rank efficiency. Among its six valid recommendations, Barnet Dulaney Perkins achieved an average recommended rank of 2.5, with one rank-one placement and five top-three placements. This suggests that when AI systems do recommend the brand, they place it competitively rather than as an afterthought.

Google AI Overviews represents a narrow but real recommendation pocket. The brand achieved 4.39% valid recommendation coverage on that platform, its strongest platform-level performance, including its only rank-one recommendation of the observation period.

Where Barnet Dulaney Perkins Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Where is Barnet Dulaney Perkins losing recommendation credit despite appearing in AI answers?
• Which competitors are displacing the brand in the middle tier of the category?

The central gap is recommendation conversion. Barnet Dulaney Perkins appears in AI answers at a 7.48% rate but converts only about 31% of those appearances into valid recommendations. By contrast, LasikPlus converts roughly 30% of its much larger presence into recommendations, but does so at scale, producing 55 valid recommendations versus Barnet Dulaney Perkins' six.

Platform coverage is uneven. The brand holds no recommendation credit on ChatGPT, Copilot, Gemini, or Perplexity in September 2026, despite appearing on several of those surfaces. Its entire recommendation footprint concentrates in Google AI Overviews and Google AI Mode, leaving the brand absent from recommendation consideration on other major AI surfaces.

Competitor displacement is most visible in the middle tier. Mann Eye Institute, NVISION Eye Centers, and Kraff Eye Institute all hold comparable or stronger recommendation positions despite smaller or similar presence rates. NVISION Eye Centers, for example, converts a 17.32% presence rate into a 3.15% recommendation rate with three rank-one placements, demonstrating that stronger conversion is achievable at similar market positions.

Biggest Opportunity

Questions This Section Answers

• What is the clearest opportunity to convert Barnet Dulaney Perkins' AI mentions into recommendations?
• Which public evidence signals could shift the brand from neutral references to active shortlist placement?

The clearest opportunity for Barnet Dulaney Perkins is converting its existing neutral mention presence into valid recommendation credit on ChatGPT, Copilot, and Gemini. The brand currently appears on these platforms without being recommended, suggesting that AI systems recognize the brand but lack sufficient positive signals to place it on a shortlist. Strengthening the public evidence layer that supports recommendation decisions, particularly around clinical credibility, patient outcomes, and geographic authority, could shift these neutral references into active recommendations.

Competitive Landscape

Questions This Section Answers

• Where does Barnet Dulaney Perkins rank against LASIK Eye Surgery competitors in recommendation-stage strength?
• Which competitors hold the strongest recommendation positions in the category?

LasikPlus and The LASIK Vision Institute hold dominant recommendation-stage strength in the LASIK Eye Surgery category, with LasikPlus leading at 21.65% valid recommendation coverage. Barnet Dulaney Perkins sits in the middle tier alongside Diamond Vision, with both brands recording 2.36% coverage, while Mann Eye Institute and NVISION Eye Centers hold slightly stronger positions.

Average recommended rank covers rank-eligible recommendations only.

Barnet Dulaney Perkins holds the highest net sentiment score among the top six brands by recommendation coverage, yet its top-three rate trails NVISION Eye Centers despite a stronger sentiment profile. The brand's average recommended rank of 2.5 indicates competitive placement when recommended, but the frequency of those recommendations remains the limiting factor.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "lasik eye surgery near me" Result: Barnet Dulaney Perkins appeared among recommended providers with a rank-one placement in one observation, its strongest single outcome in the benchmark.

Google AI Mode / Brand Recommendation Prompt: "lasik eye surgery cost" Result: The brand received one valid recommendation with a top-three placement, though most cost-oriented prompts produced neutral mentions without recommendation credit.

ChatGPT / Brand Recommendation Prompt: "What does LASIK cost in Iowa?" Result: Barnet Dulaney Perkins appeared in the response but received no valid recommendation, illustrating the gap between presence and shortlist inclusion.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map which specific prompts and surfaces produce Barnet Dulaney Perkins mentions without recommendations, identifying where competitors capture the recommendation credit instead.

Phase 2: Recommendation Readiness Plan Strengthen the brand's answer layer so AI systems encounter consistent, positive, and recommendation-ready descriptions of clinical expertise, technology, and patient experience.

Phase 3: Owned Answer Layer Buildout Develop authoritative owned content that directly addresses high-intent LASIK questions, giving AI systems clear source material for recommendation decisions.

Phase 4: Citation / Authority Layer Development Build the backlink-supported evidence layer that helps AI systems verify the brand's credentials and geographic authority, particularly for markets where Barnet Dulaney Perkins competes directly with mid-tier rivals.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor whether expanded presence on ChatGPT, Copilot, and Gemini converts into valid recommendation credit over subsequent measurement cycles.

Why This Matters

AI-generated recommendations are becoming the default starting point for patients researching LASIK eye surgery. When a brand appears in AI answers but is not recommended, it loses ground to competitors who convert similar or smaller presence into shortlist placement. Barnet Dulaney Perkins currently holds favorable framing and competitive rank positioning when recommended, but those moments are too infrequent to meaningfully influence buyer consideration.

The next move is targeted correction of the prompt, page, and citation layers. Expanding the brand's presence on platforms where it currently appears without recommendation credit, while reinforcing the evidence sources that support recommendation decisions, represents the clearest path from reference to recommendation.

Core Metrics

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Barnet Dulaney Perkins, this calculation is (8 × 1 + 11 × 0 + 0 × -1) / 19, producing a net sentiment score of 0.42.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers while being framed negatively or neutrally, and those mentions do not carry the same weight as positive recommendations. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it reveals whether presence is helping or merely registering.

Sentiment by Platform

Methodology

1. This report analyzes Barnet Dulaney Perkins' AI visibility and recommendation positioning within the LASIK Eye Surgery vertical, based on the LLM Authority Index AI Market Discovery Index benchmark for September 2026.
2. The reporting window is September 2026, with comparative reference to July 2026 and August 2026 where relevant.
3. Six canonical AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
4. The benchmark began with 587 prompt-surface observations, of which 452 were unique questions and 406 were relevant to the LASIK Eye Surgery vertical.
5. After qualification, 254 observations formed the public denominator for all brand-level percentages.
6. The competitor universe includes 10 tracked brands: Barnet Dulaney Perkins, ClearSight LASIK, Diamond Vision, Kraff Eye Institute, LASIK MD, LasikPlus, Mann Eye Institute, NVISION Eye Centers, The LASIK Vision Institute, and TLC Laser Eye Centers.
7. All qualified observations in September 2026 fell into the Brand Recommendation buyer-intent cluster. No qualified observations existed for Pricing & Value or Multi-Brand Comparison clusters.
8. Stage 0 extraction captured prompt-level observations including the query, AI surface, answer, brand outcome, recommendation placement, and sentiment.
9. A mention is defined as any appearance of the brand in an AI answer, whether recommended, referenced, or compared.
10. A valid recommendation requires the brand to be actively recommended or shortlisted in the AI answer, not merely mentioned.
11. Several brands in the tracked field have small observation counts; single-digit percentage movements for these brands can represent only one or two observations, and small-count caution applies.
12. The public benchmark does not measure market share, sales attribution, organic search ranking performance, or causality from metric movements alone.

See How AI Is Recommending Your Brand

The public benchmark shows where Barnet Dulaney Perkins stands, but the underlying prompt-level data reveals which specific questions drive recommendations, where competitors capture credit instead, and which evidence sources shape AI answers. A company-level AI visibility audit maps those patterns into a prioritized strategy for converting presence into recommendation placement.