Smileie AI Market Strategy Report - Invisible Braces

Answer Capsule

Smileie holds a meaningful but mid-tier AI recommendation position in the invisible braces category, with a monthly AI Authority Value of $145,839 and a 5.3% top-three recommendation rate. The brand appears in 21.5% of all AI observations across six platforms, but its recommendation power is unevenly distributed. Smileie's clearest win is on Copilot, where it achieves a 13.9% top-three rate and a 5.8% rank-one rate. Its clearest weakness is on ChatGPT and Perplexity, where recommendation coverage is near zero. The clearest opportunity is strengthening recommendation conversion in the discovery and pricing clusters, where Smileie already shows positive sentiment but limited top-three placement.

Who This Report Is For

This report is for Smileie's marketing, brand, and growth teams evaluating the brand's competitive position in AI-driven buyer discovery for invisible braces.

Report Card

• Report type: AI Company Market Strategy Report
• Target company: Smileie
• Category / market studied: Invisible Braces
• Reporting month: June 2026
• AI platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity
• Public high-intent clusters: 3 (Best Clear Aligners Discovery & Evaluation, Clear Aligner Brand Comparisons, Clear Aligner Pricing & Cost Research)
• AI observations analyzed: 1,239
• Competitors tracked: Invisalign, ALIGNERCO, NewSmile, ClearCorrect, SureSmile, Candid, Spark Aligners, Aligner32, Impress

Executive Summary

Smileie appears in 266 of 1,239 AI observations across six platforms, a 21.5% raw mention presence rate that places it in the middle tier of the invisible braces category. The brand achieves 89 valid recommendations, representing a 7.2% valid recommendation coverage rate. Of those, 66 are top-three recommendations and 28 are rank-one recommendations. Smileie's average recommended rank of 2.69 is competitive but not dominant.

The brand's strongest platform signal is on Copilot, where Smileie achieves a 13.9% top-three rate and a 5.8% rank-one rate, with a monthly AI Authority Value of $100,888. This figure is more than 12 times its next strongest platform by the same measure. On Gemini, Smileie holds a 4.4% top-three rate and a 3.9% rank-one rate. On ChatGPT and Perplexity, recommendation coverage is minimal, with zero rank-one recommendations on ChatGPT and only two total observations on Perplexity.

Smileie's strongest cluster is Best Clear Aligners Discovery & Evaluation, where it achieves a 6.6% top-three rate and a 2.8% rank-one rate, with a monthly AI Authority Value of $72,078. The weakest cluster is Clear Aligner Brand Comparisons, where the top-three rate drops to 3.4% and the average recommended rank falls to 3.28.

The net sentiment score of 0.37 is among the highest in the category, indicating that when Smileie is mentioned, the framing is generally positive. However, the brand's recommendation value of $108,087 is significantly lower than top-tier competitors, and its visibility assist value of $37,751 suggests that Smileie is more often referenced than actively recommended.

What Smileie Is Winning

Smileie's strongest competitive position is on Copilot. The brand achieves a 13.9% top-three rate and a 5.8% rank-one rate on this platform, with a monthly AI Authority Value of $100,888, representing 69% of Smileie's total AI Authority Value across all platforms. On Copilot, Smileie appears in 56.6% of observations and achieves a 21.3% valid recommendation coverage rate, the highest of any platform for the brand.

Smileie's net sentiment score of 0.37 is the third highest among the top five brands in the category, behind only Spark Aligners and ALIGNERCO. When Smileie is mentioned in AI responses, the context is more consistently positive than most competitors. The brand records 104 positive mentions against only 5 negative mentions across all observations.

In the Best Clear Aligners Discovery & Evaluation cluster, Smileie achieves a 6.6% top-three rate and a 2.8% rank-one rate, with an average recommended rank of 2.09. This is Smileie's strongest cluster by recommendation quality, suggesting the brand is most competitive in initial consideration-stage prompts where buyers are asking for general guidance rather than direct comparisons.

Where Smileie Has the Clearest AI Visibility Gaps

Smileie's most significant gap is on ChatGPT and Perplexity. On ChatGPT, Smileie achieves only a 1.7% top-three rate and zero rank-one recommendations, with a monthly AI Authority Value of $1,777. On Perplexity, the brand appears in only 2 of 130 observations and achieves no top-three recommendations. These two platforms represent a combined monthly category opportunity measured in the tens of millions of dollars in modeled benchmark value, and Smileie is effectively absent from both as a recommended option.

The Clear Aligner Brand Comparisons cluster is Smileie's weakest buying moment. The brand achieves only a 3.4% top-three rate and a 1.2% rank-one rate, with an average recommended rank of 3.28. This cluster carries a 1.25x buyer stage multiplier, reflecting higher commercial intent among buyers who are evaluating specific brands side by side. Smileie's weak performance here means it is losing ground at the evaluation stage.

Invisalign is the dominant competitor displacing Smileie across all clusters. In the discovery cluster, Invisalign's monthly AI Authority Value of $3.3 million is approximately 45 times Smileie's $72,078. In the pricing cluster, Invisalign's $4.5 million is approximately 79 times Smileie's $57,532. ALIGNERCO and NewSmile also outperform Smileie in the comparison and pricing clusters, indicating that Smileie is being outflanked by direct-to-consumer competitors in the highest-intent buying moments.

Biggest Opportunity

Smileie's biggest opportunity is converting its strong Copilot performance into cross-platform recommendation coverage, particularly on ChatGPT and Perplexity. The brand has demonstrated that it can achieve meaningful recommendation rates on one platform, but the citation and source architecture supporting that performance has not carried over to other AI systems. Building the public evidence layer that supports recommendation eligibility on ChatGPT and Perplexity would open access to the largest share of AI-driven buyer discovery in the category, and would address the most commercially significant gap visible in the benchmark.

Prompt Evidence

Copilot / Best Clear Aligners Discovery & Evaluation Prompt: "What are the best clear aligners for adults?" Result: Smileie appeared in the top-three recommendations with a rank-one rate of 5.8% on this platform, the strongest single recommendation signal in the Smileie dataset.

Gemini / Clear Aligner Pricing & Cost Research Prompt: "How much do invisible braces cost and which brands are most affordable?" Result: Smileie appeared as a recommended option with a 3.9% rank-one rate and predominantly positive framing, the second-strongest platform result for the brand.

ChatGPT / Clear Aligner Brand Comparisons Prompt: "Compare Invisalign, Smileie, and Candid for teeth straightening." Result: Smileie was mentioned but not recommended in a top-three position, appearing as a contextual reference rather than a shortlisted option, consistent with the brand's near-zero ChatGPT recommendation coverage.

Perplexity / Best Clear Aligners Discovery & Evaluation Prompt: "Which invisible braces brand should I choose?" Result: Smileie appeared in only 2 of 130 observations on this platform with no top-three recommendations, the most significant platform-level absence in the Smileie dataset.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Smileie's full recommendation footprint across all six platforms and identify the specific prompts where the brand is present but not recommended versus absent from responses entirely.

Phase 2: Recommendation Readiness Plan Analyze the citation and source layer that supports Smileie's Copilot performance and identify what is structurally missing for ChatGPT and Perplexity recommendation eligibility.

Phase 3: Owned Answer Layer Buildout Develop comparison-ready content, pricing transparency pages, and structured data that AI systems can retrieve and synthesize for recommendation-stage responses across high-intent clusters.

Phase 4: Citation / Authority Layer Development Build the public evidence layer, including patient reviews, clinical references, and third-party validation sources, that supports positive AI synthesis and reduces the gap between presence and recommendation credit.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor Smileie's recommendation coverage, top-three rate, and rank-one rate across platforms and clusters each month to measure progress and adjust strategy in response to category shifts.

Why This Matters

AI platforms are becoming the first stop for consumers researching invisible braces. When a prospective buyer asks for the best clear aligners, the AI response functions as a de facto shortlist. Smileie has demonstrated that it can win recommendation placement on Copilot, but the brand is effectively absent from ChatGPT and Perplexity, two of the most influential platforms for buyer discovery in this category.

Presence alone is not enough. Smileie appears in 21.5% of AI observations, but its recommendation conversion is inconsistent across platforms and clusters. The next move is targeted correction of the prompt, page, and citation layers that determine whether Smileie is mentioned as a passing reference or recommended as a shortlisted choice.

Core Metrics

• Mentions: 266
• Valid recommendations: 89
• Top 3 recommendation count: 66
• Rank #1 recommendation count: 28
• Average recommended rank: 2.69
• Positive mentions: 104
• Neutral mentions: 157
• Negative mentions: 5
• Raw mention presence rate: 21.5%
• Valid recommendation coverage: 7.2%
• Top 3 recommendation rate: 5.3%
• Rank #1 recommendation rate: 2.3%
• Strongest cluster by recommendation behavior: Best Clear Aligners Discovery & Evaluation
• Strongest platform by recommendation behavior: Copilot

Sentiment Score

Sentiment Score = (104 positive x 1 + 157 neutral x 0 + 5 negative x -1) / 266 total mentions = 0.37

Smileie's score of 0.37 means its AI mentions are predominantly positive or neutral, with very few negative references. This is a strong result relative to the category. However, unclassified mention counts are misleading on their own. 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 equal signals. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility. Smileie's 0.37 sentiment score is meaningful, but the brand's 7.2% valid recommendation coverage rate shows that positive framing does not automatically translate into shortlist placement.

Sentiment by Platform

Methodology Note

This is a company-specific public report evaluating Smileie against a fixed competitor set of ten invisible braces brands. The analysis is based on 1,239 observations collected in June 2026 across six AI platforms. Three public high-intent prompt clusters are reported, representing consideration, evaluation, and decision-stage buying moments. The full LLM Authority Index benchmark for this category includes ten clusters. Cluster labels in downstream files are consistent with the public report and require no normalization.

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

Methodology

1. This report evaluates Smileie's AI recommendation visibility in the invisible braces category using the LLM Authority Index benchmark for June 2026.
2. The reporting window is June 2026.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity.
4. A total of 1,239 AI observations were analyzed across all platforms and clusters.
5. The competitor universe includes ten brands: Invisalign, ALIGNERCO, NewSmile, ClearCorrect, Smileie, SureSmile, Candid, Spark Aligners, Aligner32, and Impress.
6. Three public high-intent prompt clusters were used: Best Clear Aligners Discovery & Evaluation (consideration stage), Clear Aligner Brand Comparisons (evaluation stage), and Clear Aligner Pricing & Cost Research (decision stage).
7. Stage 0 extraction captured raw AI responses, which were then classified by company presence, recommendation status, rank position, and sentiment framing.
8. A mention is defined as any appearance of the company in an AI-generated response, regardless of context or position.
9. A valid recommendation is a positive, shortlist-quality recommendation or ranked recommendation that earns recommendation credit. Visibility is not the same as recommendation credit. Neutral references, cautionary mentions, and comparison anchors are not counted as valid recommendations.
10. Monthly AI Authority Value is a modeled benchmark estimate. It is not revenue, pipeline, or booked demand.
11. This report covers three public high-intent clusters. The full LLM Authority Index benchmark for this category includes ten clusters. Results across the full benchmark may differ from the patterns reported here.
12. This is a point-in-time benchmark. AI outputs change over time. Results should be interpreted as a snapshot of June 2026 conditions, not as a stable or permanent measure of category position.

See How AI Is Recommending Your Brand

The invisible braces benchmark shows where AI systems are forming buyer shortlists and which brands are winning recommendation-stage visibility across the six platforms that matter most. If Smileie appears in AI responses but is not being recommended, or if competitors are being chosen instead, the gap is measurable and addressable. CiteWorks Studio maps where your brand appears, where competitors are recommended in its place, which prompts carry the most commercial risk, which sources are shaping AI answers, and what needs to change to improve recommendation-stage visibility across platforms and clusters.