LASIK MD AI Market Strategy Report - LASIK Eye Surgery

Answer Capsule

LASIK MD holds minimal recommendation-stage visibility in the LASIK Eye Surgery category, appearing in only 3.94% of qualified AI observations and receiving a valid recommendation in just 0.39% of cases during September 2026. The brand's presence is largely neutral, with 9 of 10 mentions carrying no positive or negative framing, and it records no rank-one recommendations across any tracked AI platform. Its clearest weakness is the near-total absence of recommendation conversion, while its strongest platform signal comes from Google AI Mode, where its only valid recommendation occurred. The clearest opportunity lies in building a source footprint that supports positive recommendation framing rather than neutral reference.

Who This Report Is For

This report is for LASIK MD's marketing, digital strategy, and executive leadership teams responsible for understanding how AI-driven discovery shapes provider selection in the vision correction category.

Report Card

Executive Summary

The September 2026 LLM Authority Index benchmark for LASIK Eye Surgery shows a category where recommendation power is heavily concentrated in two brands, and LASIK MD sits near the bottom of the tracked field. LASIK MD recorded a raw mention presence rate of 3.94%, meaning the brand appeared in only 10 of 254 qualified AI observations. Of those 10 mentions, just one converted into a valid recommendation, producing a valid recommendation coverage of 0.39%.

The sentiment picture is almost entirely neutral. LASIK MD recorded 9 neutral mentions and 1 positive mention, with no negative framing across the dataset. That gives the brand a net sentiment score of 0.10, but the near-total absence of positive framing means the brand is being referenced rather than endorsed. The single valid recommendation placed LASIK MD at rank three, with no top-three or rank-one placements recorded.

The strongest cluster for LASIK MD is the Brand Recommendation cluster, which accounts for all 254 qualified observations in the current public series. The brand's weakest position is also within this cluster, where it fails to convert the majority of its mentions into recommendations. Google AI Mode produced the brand's only valid recommendation, while ChatGPT, Copilot, Gemini, Perplexity, and Google AI Overviews returned no recommendation credit at all.

The clearest platform gap is Google AI Overviews, where LASIK MD appeared in 3 mentions but received zero valid recommendations. The category leader, LasikPlus, holds 21.65% valid recommendation coverage and 9.45% rank-one rate, illustrating the distance between reference-level presence and recommendation-stage strength.

What LASIK MD Is Winning

LASIK MD's evidence-backed wins are narrow but identifiable. The brand recorded zero negative mentions across all 10 appearances in September 2026, meaning no AI answer framed the brand in a cautionary or unfavorable way. That clean framing profile is a foundation the brand can build on.

The brand also secured one valid recommendation in Google AI Mode, its only platform with recommendation credit. While the sample is small, it demonstrates that at least one AI surface is willing to recommend LASIK MD when the right prompt context appears.

The brand's net sentiment score of 0.10, while low, is positive rather than negative. In a category where several competitors carry neutral or mixed framing, LASIK MD avoids the risk of being mentioned as a cautionary example.

Where LASIK MD Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does LASIK MD's presence fail to convert into valid recommendations?
• How does LASIK MD's absence from rank-one and top-three positions compare with the category leaders?
• Which platform represents the clearest lost opportunity for LASIK MD?

LASIK MD's most significant gap is the conversion of presence into recommendation. The brand appeared in 10 qualified observations but received only 1 valid recommendation, a conversion pattern that leaves it visible but not selected. By comparison, LasikPlus converted 184 mentions into 55 valid recommendations, and The LASIK Vision Institute converted 114 mentions into 41 valid recommendations.

The brand's absence from rank-one and top-three positions is the clearest competitive displacement signal. LASIK MD recorded no rank-one recommendations and no top-three placements, meaning that even when the brand is recommended, it appears below the positions where buyers are most likely to focus. The LASIK Vision Institute, by contrast, holds a 12.20% top-three rate and a 3.94% rank-one rate.

Platform coverage is another clear gap. LASIK MD received no recommendation credit in ChatGPT, Copilot, Gemini, Perplexity, or Google AI Overviews. Google AI Overviews is the most notable miss, since the brand appeared in 3 mentions on that surface but received no valid recommendation in any of them. The brand's presence there is purely contextual, not recommendation-led.

Biggest Opportunity

LASIK MD's clearest path forward is converting its neutral reference presence into positive recommendation framing within the Brand Recommendation cluster. The brand already appears in AI answers, which means AI systems can retrieve and cite it. What is missing is the evidence layer that would support a recommendation rather than a passing mention.

The single valid recommendation in Google AI Mode suggests that some prompt contexts already favor the brand. Expanding the public evidence sources that support positive claims about LASIK MD's provider quality, technology, and patient experience would give AI systems more material to draw on when forming recommendations. This is a citation architecture problem more than a visibility problem.

Competitive Landscape

Questions This Section Answers

• Which brands hold the strongest recommendation-stage positions in the LASIK Eye Surgery category?
• How does LASIK MD's performance compare with ClearSight LASIK at the bottom of the field?

Recommendation-stage strength in the LASIK Eye Surgery category is concentrated in LasikPlus and The LASIK Vision Institute, which together hold most of the valid recommendation coverage. LASIK MD sits near the bottom of the tracked field, ahead of only ClearSight LASIK, which recorded zero valid recommendations in September 2026.

Average recommended rank covers rank-eligible recommendations only.

The table shows LASIK MD at the bottom of the tracked field alongside ClearSight LASIK, with both brands effectively absent from top-three and rank-one positions. The brands above LASIK MD hold meaningfully higher top-three rates, and several convert a larger share of their presence into recommendation credit.

Prompt Evidence

Questions This Section Answers

• Which prompt produced LASIK MD's only valid recommendation, and at what rank?
• How did LASIK MD's other platform mentions fail to generate recommendation credit?

Google AI Mode / Brand Recommendation Prompt: "lasik eye surgery near me" Result: LASIK MD received its only valid recommendation of the month, placed at rank three.

Google AI Overviews / Brand Recommendation Prompt: "how much is lasik eye surgery" Result: LASIK MD appeared as a neutral reference but received no recommendation credit.

Gemini / Brand Recommendation Prompt: "cost of lasik" Result: LASIK MD was mentioned without positive or negative framing and received no valid recommendation.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map which prompts and surfaces produce LASIK MD mentions and identify where competitors receive the recommendation instead.

Phase 2: Recommendation Readiness Plan Identify the evidence gaps that keep LASIK MD at reference level rather than recommendation level within the Brand Recommendation cluster.

Phase 3: Owned Answer Layer Buildout Develop owned content that answers high-intent questions about provider quality, technology, and patient outcomes in a way AI systems can retrieve and cite.

Phase 4: Citation / Authority Layer Development Build the backlink-supported evidence layer that gives AI systems credible public sources to draw on when forming recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether presence converts into recommendation credit over time and which platforms respond to the new evidence layer.

Why This Matters

When a buyer asks an AI system for a LASIK provider recommendation, LASIK MD is rarely named and almost never chosen. The brand's 0.39% valid recommendation coverage means that in 99.6% of qualified AI answers, the buyer is directed toward another provider or given no brand-specific guidance at all.

AI presence alone is not enough. LASIK MD is visible enough to be mentioned, but the public evidence layer does not currently support recommendation-stage framing. The next move is targeted correction of the prompt, page, and citation layers so that the brand moves from neutral reference to positive recommendation.

Core Metrics

Sentiment Score

Questions This Section Answers

• How is the net sentiment score calculated for LASIK MD?
• Why is share of voice an unreliable measure of AI visibility without sentiment classification?

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

For LASIK MD, the calculation is (1 × 1 + 9 × 0 + 0 × -1) / 10, producing a net sentiment score of 0.10.

This score matters because unclassified mention counts are misleading. LASIK MD's 10 mentions look like a presence signal, but 9 of them carry no positive or negative weight. 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, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because the difference between being named and being recommended is the difference between awareness and selection.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of LASIK MD's AI visibility and recommendation positioning within the LASIK Eye Surgery vertical, using the LLM Authority Index AI Market Discovery Index as the evidence source.
2. The reporting window is September 2026, with baseline comparisons drawn from July 2026 where relevant.
3. Six canonical AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
4. The analysis draws on 254 qualified benchmark observations from a raw collection universe of 587 prompt-surface observations.
5. The competitor universe includes 10 tracked brands: LasikPlus, The LASIK Vision Institute, TLC Laser Eye Centers, Mann Eye Institute, NVISION Eye Centers, Barnet Dulaney Perkins, Diamond Vision, Kraff Eye Institute, LASIK MD, and ClearSight LASIK.
6. The public benchmark uses one buyer-intent cluster, Brand Recommendation, which captures queries where an AI system names or recommends a specific provider.
7. Stage 0 extraction captured prompt-level observations including the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is defined as any qualified observation where the brand appears in any form, whether recommended, mentioned, or compared.
9. A valid recommendation is defined as a qualified observation where the brand receives positive recommendation credit with a rank position.
10. Brand-level percentages use the 254 qualified observations as the public denominator, not the raw collection universe.
11. The public benchmark does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison clusters, so price and head-to-head comparison questions have no public signal in this data.
12. Limitations: several brands have very small counts, and single-digit percentage movements for LASIK MD represent only one or two observations. Movement between months identifies changes worth investigating, not established causes.

Get Your AI Visibility Audit

The public benchmark shows where LASIK MD is winning and losing in AI-driven discovery, but the aggregate percentages raise more questions than they answer. A company-level AI visibility audit maps the prompt, surface, competitor, ranking, sentiment, and evidence-source patterns behind the numbers into a prioritized visibility strategy. It answers why a brand gained or lost coverage and what to do about it.