Kraff Eye Institute AI Market Strategy Report - LASIK Eye Surgery

Answer Capsule

Kraff Eye Institute holds a narrow but real recommendation position in the LASIK Eye Surgery category, with valid recommendation coverage of 1.57% in September 2026. The brand appears in 4.72% of qualified AI observations but converts only a fraction of that presence into actual recommendations, a pattern of visibility without strong recommendation conversion. Its clearest strength is a positive net sentiment score of 0.50 with no negative mentions recorded. The clearest opportunity is converting its existing positive framing into more frequent top-three placements, where it currently holds a 1.18% rate.

Who This Report Is For

This report is for marketing, digital strategy, and brand leadership teams at Kraff Eye Institute responsible for understanding how AI-driven discovery surfaces present the brand to prospective LASIK patients.

Report Card

Executive Summary

Kraff Eye Institute holds a modest but measurable position in AI-generated recommendations for LASIK eye surgery. The September 2026 LLM Authority Index benchmark shows the brand with valid recommendation coverage of 1.57%, placing it eighth among the ten tracked providers. Its raw mention presence rate of 4.72% indicates the brand appears in AI answers more often than it is recommended, a gap that suggests Kraff Eye Institute is recognized but not consistently selected as a top choice.

The brand recorded 12 total mentions in the qualified observation set, with 6 positive and 6 neutral classifications. No negative mentions were recorded, giving Kraff Eye Institute a net sentiment score of 0.50, among the strongest framing quality in the category. The brand earned 4 valid recommendations, including 3 top-three placements and 1 rank-one recommendation, with an average recommended rank of 2.33 when it does receive recommendation credit.

The strongest cluster for Kraff Eye Institute is the Brand Recommendation class, which accounts for all 254 qualified observations in the current public series. The brand's recommendation behavior is concentrated in Google AI Overviews, where it holds its only rank-one placement and its strongest recommendation coverage at 3.51%. The clearest platform gap is the absence of any valid recommendations on ChatGPT, Copilot, Gemini, or Perplexity, where the brand appears only as a neutral reference at best.

What Kraff Eye Institute Is Winning

Kraff Eye Institute's most defensible position is its sentiment profile. With a net sentiment score of 0.50 and zero negative mentions across all platforms, the brand is framed positively or neutrally whenever it appears. This is not true for every competitor in the tracked field.

The brand also shows meaningful recommendation efficiency on Google AI Overviews. Its valid recommendation coverage of 3.51% on that platform exceeds its overall coverage rate, and it earned its only rank-one recommendation there. When Google AI Overviews recommends Kraff Eye Institute, it places the brand at an average rank of 2.33, which is competitive with much larger providers.

The brand's average recommended rank of 2.33 across all rank-eligible recommendations indicates that when Kraff Eye Institute is recommended, it tends to appear near the top of the list rather than buried in a long tail of options.

Where Kraff Eye Institute Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Which platforms show the largest gap between Kraff Eye Institute's presence and its recommendation credit?
• How far behind the category leader is Kraff Eye Institute in valid recommendation coverage?

The most significant gap is the conversion of presence into recommendation. Kraff Eye Institute appears in 12 qualified observations but receives only 4 valid recommendations, a conversion pattern that leaves the brand present but not chosen in the majority of its appearances.

The brand has no valid recommendations on ChatGPT, Copilot, Gemini, or Perplexity. On Gemini, Kraff Eye Institute appears in 2 observations but receives no recommendation credit. On Google AI Mode, the brand appears in 4 observations with positive framing but earns zero valid recommendations. This pattern suggests the brand is referenced as context or comparison material rather than as a recommended provider on those surfaces.

The competitive displacement is clear when measured against the category leader. LasikPlus holds valid recommendation coverage of 21.65%, more than thirteen times Kraff Eye Institute's rate, and appears in 72.44% of qualified observations. Even mid-tier competitors like NVISION Eye Centers, with 3.15% coverage, and Mann Eye Institute, with 3.54% coverage, hold stronger recommendation positions despite comparable or smaller presence rates.

Biggest Opportunity

Questions This Section Answers

• What is the largest single-platform opportunity for converting Kraff Eye Institute's positive presence into recommendation credit?

The clearest opportunity for Kraff Eye Institute is converting its existing positive framing on Google AI Mode into valid recommendation credit. The brand appears in 4 observations on that platform with a positive visibility rate of 1.30% and no negative mentions, yet earns zero recommendations. This is the largest single-platform gap between positive presence and recommendation outcome in the brand's profile. If Kraff Eye Institute can shift from being mentioned favorably to being recommended on Google AI Mode, it would add a second recommendation-bearing platform to complement Google AI Overviews.

Competitive Landscape

Questions This Section Answers

• Where does Kraff Eye Institute rank in top-three recommendation rate among the ten tracked LASIK providers?
• Which competitors hold the strongest top-three and rank-one recommendation positions?

LasikPlus holds dominant recommendation-stage strength in the LASIK Eye Surgery category, followed by The LASIK Vision Institute and TLC Laser Eye Centers. Kraff Eye Institute sits in the lower tier of the tracked field, ahead of LASIK MD and ClearSight LASIK but behind several regional and national competitors with stronger recommendation coverage.

Average recommended rank covers rank-eligible recommendations only.

Kraff Eye Institute ranks eighth in top-three rate among the ten tracked brands. Its average recommended rank of 2.33 is competitive with the upper tier, but the low frequency of recommendations limits the impact of that placement quality. The brand's sentiment score of 0.50 is the second highest in the tracked field, indicating that when Kraff Eye Institute is discussed, the framing is strongly favorable.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "lasik eye surgery near me" Result: Kraff Eye Institute received recommendation credit with a top-three placement, contributing to its strongest platform-level coverage.

Google AI Mode / Brand Recommendation Prompt: "how much is lasik eye surgery" Result: Kraff Eye Institute appeared with positive framing but received no valid recommendation, illustrating the gap between favorable presence and recommendation conversion.

Gemini / Brand Recommendation Prompt: "cost of lasik" Result: Kraff Eye Institute appeared as a neutral reference with no recommendation credit, consistent with its pattern of presence without selection on this platform.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts and surface combinations where Kraff Eye Institute appears without recommendation credit, prioritizing the Google AI Mode gap.

Phase 2: Recommendation Readiness Plan Identify the owned content and authority signals that would position Kraff Eye Institute as a recommendable option in the prompts where it currently appears as context only.

Phase 3: Owned Answer Layer Buildout Develop procedure-specific, candidacy-focused, and location-relevant content that gives AI systems clear, structured answers about Kraff Eye Institute's services and expertise.

Phase 4: Citation / Authority Layer Development Strengthen the third-party citation layer that supports recommendation decisions, focusing on sources that AI systems currently use when naming LASIK providers.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether the Google AI Mode presence-to-recommendation gap narrows and whether recommendation coverage expands beyond the current Google AI Overviews concentration.

Why This Matters

Questions This Section Answers

• Why does recommendation placement in AI answers matter more than traditional search visibility for LASIK providers?
• What should Kraff Eye Institute focus on to move from presence to recommendation?

AI-generated recommendations are becoming the first filter in the LASIK provider selection process. When a prospective patient asks an AI assistant for the best LASIK provider, the brands named in that answer gain an advantage that traditional search visibility cannot replicate. Kraff Eye Institute is currently present in those answers but is not consistently chosen.

The next move is not broader visibility. It is targeted correction of the specific prompts, pages, and citation sources that determine whether Kraff Eye Institute appears as a recommended provider or merely as a mentioned one. Presence establishes awareness; recommendation establishes selection.

Core Metrics

Sentiment Score

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

For Kraff Eye Institute, the calculation is (6 × 1 + 6 × 0 + 0 × -1) / 12, producing a net sentiment score of 0.50.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers while being framed negatively or as a cautionary example, and counting those appearances as wins would misrepresent its position. 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 distinguishes between being recommended and merely being discussed.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Kraff Eye Institute's AI recommendation visibility in the LASIK Eye Surgery vertical, drawn from the LLM Authority Index AI Market Discovery Index public dataset. It is not a client implementation case study.
2. The reporting window is September 2026, with comparison references to July 2026 and August 2026 where the public benchmark provides historical context.
3. Six canonical AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
4. The benchmark began with 587 prompt-surface observations in September 2026, of which 452 were unique questions and 254 qualified for the public denominator after relevance and qualification filtering.
5. The competitor universe includes 10 tracked LASIK providers: 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.
6. All 254 qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class. The public series contains no qualified observations in the Pricing & Value or Multi-Brand Comparison classes.
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 appearance of a tracked brand in a qualified AI answer, whether recommended, referenced, or compared.
9. A valid recommendation is defined as an instance where the AI answer explicitly recommends or shortlists the brand. Neutral references, cautionary mentions, and comparison-anchor appearances are not counted as valid recommendations.
10. Limitations: The public benchmark is narrower than the raw collection universe by design. Several brands in the tracked field have small counts, and single-digit percentage movements for Kraff Eye Institute represent only one or two observations. The public series does not yet contain qualified observations for pricing, value, or head-to-head comparison questions. Source presence in the evidence layer is not automatically proof that a source caused a recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where Kraff Eye Institute stands in AI-generated recommendations, but the aggregate percentages only raise the questions that matter. Which specific prompts produce the brand's recommendation credit on Google AI Overviews? Why does positive framing on Google AI Mode fail to convert into recommendations? Which competitors appear in the answers where Kraff Eye Institute is mentioned but not chosen? A company-level AI visibility audit maps those prompt, surface, competitor, and evidence-source patterns into a prioritized strategy for moving from presence to recommendation.