Medical Spas AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Medical Spas benchmark compares 10 companies across 216 AI answers that met its inclusion rules. LaserAway leads with 93 recommendations (43.06% of answers). At least one tracked company was recommended in 117 answers; some answers recommended several companies.

The rankings distinguish being mentioned from receiving an affirmative recommendation, then examine placement and the wording used about each company. Earlier monthly results show how counts and rates changed, with each month using its own answer total. These results describe the answers reviewed, not product quality or customer satisfaction. Differences between monthly samples limit comparisons and do not establish why a result changed.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Medical Spas

Industry leaderboard

Questions This Section Answers

• How do Medical Spas rank by recorded AI recommendations in November 2026?

The leaderboard orders companies by how many answers affirmatively recommended them, so it measures recorded endorsement rather than general visibility. A company can appear often without being recommended, and a recommendation can sit anywhere in an answer's ordering. Ties reflect equal recommendation counts, not shared wording or equal placement. Reading mentions, recommendations and placements separately keeps each measure from being mistaken for the others.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Medical Spas answer sample recommend any tracked company?

117 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 233, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Every included answer mentioned at least one tracked company, yet only about half recommended one. Because a single answer can recommend several companies, company-level recommendation totals exceed the number of answers carrying any recommendation. Answers without a tracked recommendation may still have named companies outside this comparison, so coverage describes the reviewed answers rather than the wider market.

Reach and affirmative recommendation

LaserAway ranks 1 by recommendation count. Mentions: 173 (80.09%); recommendations: 93 (43.06%). Top 3 placements: 77 (35.65%); first-place placements: 22 (10.19%).

Wording about the company: 93 positive, 80 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 53.8%. The net framing score was 0.54 (defined in Methodology).

80 mentions had no recorded recommendation. Of recorded recommendations, 82.80% were Top 3 and 23.66% were first-place.

LaserAway leads on recommendation count, but its mentions outnumber its recommendations, and many mentions carried no endorsement. Mention marks appearance; recommendation marks affirmative endorsement. The gap between them shows that being named and being put forward are distinct outcomes in these answers. Placement figures are subsets of the recommendations, not additional endorsements.

Recommendation order and placement

Top-three and first-place counts are nested inside recommendations, so they describe where endorsements landed rather than extra wins. A high recommendation-to-mention ratio means most appearances also carried endorsement in these answers; it does not describe customers or conversion. Where mention totals are small, a strong ratio rests on a narrow base and should be read cautiously.

Classified framing in context

Framing classifies the wording around each mention as positive, neutral or negative. Neutral wording is common for several companies, and positive wording does not by itself explain why a recommendation was or was not recorded. These labels describe the selected answers, not customer sentiment, reputation or company quality, and they cannot establish causes.

Company results in detail

LaserAway

Questions This Section Answers

• What do the November 2026 AI answer results show about LaserAway mentions, recommendations and placement?

LaserAway ranks 1 by recommendation count. Mentions: 173 (80.09%); recommendations: 93 (43.06%). Top 3 placements: 77 (35.65%); first-place placements: 22 (10.19%).

Wording about the company: 93 positive, 80 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 53.8%. The net framing score was 0.54 (defined in Methodology).

80 mentions had no recorded recommendation. Of recorded recommendations, 82.80% were Top 3 and 23.66% were first-place.

From October 2026 to November 2026, LaserAway's mention count fell from 210 to 173, while its recommendation count rose from 65 to 93. The recommendation rate was 23.38% and 43.06% respectively.

LaserAway holds the top recommendation count, with mentions far outnumbering endorsements and a substantial share of appearances left unrecommended. Its wording is positive or neutral, never negative. Among its recommendations, most appear in top-three positions and a smaller group lead an answer. The prior-month comparison shows mentions falling while recommendations rose; the samples differ, so no cause is inferred.

Milan Laser Hair Removal

Questions This Section Answers

• What do the November 2026 AI answer results show about Milan Laser Hair Removal mentions, recommendations and placement?

Milan Laser Hair Removal ranks 2 by recommendation count. Mentions: 127 (58.80%); recommendations: 77 (35.65%). Top 3 placements: 72 (33.33%); first-place placements: 53 (24.54%).

Wording about the company: 77 positive, 50 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 60.6%. The net framing score was 0.61 (defined in Methodology).

50 mentions had no recorded recommendation. Of recorded recommendations, 93.51% were Top 3 and 68.83% were first-place.

From October 2026 to November 2026, Milan Laser Hair Removal's mention count rose from 109 to 127, while its recommendation count rose from 51 to 77. The recommendation rate was 18.35% and 35.65% respectively.

Milan Laser Hair Removal ranks second on recommendations and stands out for how often its endorsements lead an answer. Its mentions are mostly positive, with the remainder neutral. A majority of appearances also carried a recommendation. Compared with the prior month, both mentions and recommendations rose, but the monthly answer samples are separate, so the change is recorded rather than explained.

SEV Laser

Questions This Section Answers

• What do the November 2026 AI answer results show about SEV Laser mentions, recommendations and placement?

SEV Laser ranks 3 by recommendation count. Mentions: 64 (29.63%); recommendations: 20 (9.26%). Top 3 placements: 18 (8.33%); first-place placements: 6 (2.78%).

Wording about the company: 20 positive, 44 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 31.3%. The net framing score was 0.31 (defined in Methodology).

44 mentions had no recorded recommendation. Of recorded recommendations, 90.00% were Top 3 and 30.00% were first-place.

From October 2026 to November 2026, SEV Laser's mention count fell from 143 to 64, while its recommendation count stayed at 20. The recommendation rate was 7.19% and 9.26% respectively. The count was unchanged: the rate difference comes from dividing it by 278 answers in October 2026 and 216 in November.

SEV Laser ranks third, though most of its appearances are neutral and only a minority carry endorsement. Its recommendations are mostly top-three placements, with a smaller share leading answers. Mentions fell sharply from the prior month while the recommendation count held steady; the rate moved because the answer base differed, and the comparison does not establish why.

SkinSpirit

Questions This Section Answers

• What do the November 2026 AI answer results show about SkinSpirit mentions, recommendations and placement?

SkinSpirit ranks 4 by recommendation count. Mentions: 17 (7.87%); recommendations: 15 (6.94%). Top 3 placements: 14 (6.48%); first-place placements: 9 (4.17%).

Wording about the company: 15 positive, 2 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 88.2%. The net framing score was 0.88 (defined in Methodology).

2 mentions had no recorded recommendation. Of recorded recommendations, 93.33% were Top 3 and 60.00% were first-place.

From October 2026 to November 2026, SkinSpirit's mention count fell from 23 to 17, while its recommendation count fell from 16 to 15. The recommendation rate was 5.76% and 6.94% respectively.

SkinSpirit ranks fourth by recommendation count in this month's medical spa answers. It appears in seventeen mentions, fifteen of which carry an affirmative endorsement, and most of those endorsements place it in the top three, with a majority of recommended mentions leading the answer. Wording is almost entirely positive, with a small neutral remainder and no negative framing.

Two mentions appear without a recorded recommendation, so the recommendation-to-mention ratio describes these answers rather than customer behavior or sales. The ratio rests on a limited base and should be read as a description of this sample. From the prior month, mentions and recommendations both eased, though the changed totals alone do not establish why.

Ideal Image

Questions This Section Answers

• What do the November 2026 AI answer results show about Ideal Image mentions, recommendations and placement?

Ideal Image ranks 5 by recommendation count. Mentions: 25 (11.57%); recommendations: 10 (4.63%). Top 3 placements: 8 (3.70%); first-place placements: 1 (0.46%).

Wording about the company: 11 positive, 14 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 40.0%. The net framing score was 0.44 (defined in Methodology).

15 mentions had no recorded recommendation. Of recorded recommendations, 80.00% were Top 3 and 10.00% were first-place.

From October 2026 to November 2026, Ideal Image's mention count rose from 18 to 25, while its recommendation count rose from 6 to 10. The recommendation rate was 2.16% and 4.63% respectively.

Ideal Image shows more mentions than recommendations, with neutral wording slightly outnumbering positive. Its endorsements are mostly top-three placements, and few lead an answer. Both mentions and recommendations rose from the prior month, though the separate samples mean the movement is recorded, not explained. The recommendation-to-mention ratio reflects these answers only.

Skin Laundry

Questions This Section Answers

• What do the November 2026 AI answer results show about Skin Laundry mentions, recommendations and placement?

Skin Laundry ranks 6 by recommendation count. Mentions: 7 (3.24%); recommendations: 7 (3.24%). Top 3 placements: 4 (1.85%); first-place placements: 0 (0.00%).

Wording about the company: 7 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 100.0%. The net framing score was 1.00 (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, 57.14% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Skin Laundry's mention count fell from 8 to 7, while its recommendation count rose from 3 to 7. The recommendation rate was 1.08% and 3.24% respectively.

Skin Laundry's mentions and recommendations are equal in these answers, so every appearance carried endorsement, and all wording is positive. Its placements are mostly top-three, with none leading an answer. The ratio rests on a small base and should be read with that in mind. Mentions eased while recommendations rose from the prior month, a comparison limited by differing samples.

Ever/Body

Questions This Section Answers

• What do the November 2026 AI answer results show about Ever/Body mentions, recommendations and placement?

Ever/Body ranks 7 by recommendation count. Mentions: 5 (2.31%); recommendations: 5 (2.31%). Top 3 placements: 3 (1.39%); first-place placements: 0 (0.00%).

Wording about the company: 5 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 100.0%. The net framing score was 1.00 (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, 60.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Ever/Body's mention count stayed at 5, while its recommendation count stayed at 5. The recommendation rate was 1.80% and 2.31% respectively. The count was unchanged: the rate difference comes from dividing it by 278 answers in October 2026 and 216 in November.

Ever/Body's mentions and recommendations match, with all wording positive and no neutral or negative framing. A majority of its endorsements sit in top-three positions, and none lead an answer. The counts are small, so the full ratio reflects a narrow base. Both mentions and recommendations were unchanged from the prior month, while the rate shifted with the answer total.

Restore Hyper Wellness

Questions This Section Answers

• What do the November 2026 AI answer results show about Restore Hyper Wellness mentions, recommendations and placement?

Restore Hyper Wellness ranks 8 by recommendation count. Mentions: 5 (2.31%); recommendations: 3 (1.39%). Top 3 placements: 1 (0.46%); first-place placements: 0 (0.00%).

Wording about the company: 3 positive, 2 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 60.0%. The net framing score was 0.60 (defined in Methodology).

2 mentions had no recorded recommendation. Of recorded recommendations, 33.33% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Restore Hyper Wellness' mention count fell from 8 to 5, while its recommendation count fell from 4 to 3. The recommendation rate was 1.44% and 1.39% respectively.

Restore Hyper Wellness records a small number of mentions, most of them recommended, with wording split between positive and neutral. Only one endorsement reached a top-three position, and none led an answer. With such small counts, the ratio is sensitive to single answers. Both mentions and recommendations eased from the prior month, a comparison that does not establish cause.

Sono Bello

Questions This Section Answers

• What do the November 2026 AI answer results show about Sono Bello mentions, recommendations and placement?

Sono Bello ranks 8 by recommendation count. Mentions: 3 (1.39%); recommendations: 3 (1.39%). Top 3 placements: 2 (0.93%); first-place placements: 0 (0.00%).

Wording about the company: 3 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 100.0%. The net framing score was 1.00 (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, 66.67% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Sono Bello's mention count fell from 6 to 3, while its recommendation count rose from 2 to 3. The recommendation rate was 0.72% and 1.39% respectively.

Sono Bello's few mentions all carried endorsement and positive wording, with a majority placed in top-three positions and none leading an answer. The counts are very small, so the full recommendation-to-mention ratio should be read as a narrow-base observation. Mentions fell while recommendations rose slightly from the prior month, and the separate samples limit any inference.

Body Details

Questions This Section Answers

• What do the November 2026 AI answer results show about Body Details mentions, recommendations and placement?

Body Details ranks 10 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

From October 2026 to November 2026, Body Details' mention count stayed at 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

Body Details records no mentions, recommendations or placements in the reviewed answers, and framing is therefore unavailable. This is a measured zero rather than a missing observation, and ratios requiring a nonzero base are undefined. The result was the same in the prior month; it describes these answers only and says nothing about the company beyond them.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Medical Spas snapshots from July 2026 to November 2026 differ in recommendation coverage and measurement scope?

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

Each month is a separate sample of AI answers with its own answer total, so counts and rates are not directly comparable across months. A rate can move because the count changed or because the base changed. Rank positions across months describe those samples, not stability or equivalent sampling, and no cause for movement is established.

What the November Rankings Show

These measures answer different questions. Mentions describe appearance, recommendations describe affirmative endorsement, placements describe position within endorsements, and framing describes wording. A company can be visible without being recommended, or recommended without leading an answer. Because the monthly samples differ and the answers are not verified company facts, the rankings describe the reviewed answers rather than market standing or customer behavior.

Methodology

Questions This Section Answers

• How were the November 2026 Medical Spas AI visibility measures counted, and what do they not establish?

This benchmark has partial coverage: 3 of 3 planned question categories contributed usable observations; 0 contributed none. This describes question-category coverage, not demonstrated platform outages. Findings apply to the available answer set.

The month in the title is the reporting period. The exact dates when the original AI answers were collected have not been verified.

Each company is counted at most once in each answer that meets the benchmark rules. A recommendation requires both an affirmative endorsement and positive wording. Mention, recommendation, Top 3 and first-place rates use the full benchmark answer total. Top 3 and first-place results are included within recommendations, not added to them.

The recommendation-to-mention ratio divides recommendations by mentions. It describes AI answer wording, not customer conversion. Net framing is positive minus negative mentions, divided by all mentions, on a scale from -1 to +1. It does not measure customer satisfaction or company quality.

Market: US; 10 tracked companies. AI services represented: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.

Research screening totals (answer observations can include repeated questions):

The source does not provide a reader-facing definition of “reserved”; that screening label is reported without inferring a reason for exclusion. Only the included benchmark answers form the rate denominator.

One answer can mention or recommend several companies. Adding company totals would therefore count some answers more than once. The results describe the AI answers reviewed, not independently verified facts about the companies or their products.

Monthly sample coverage:

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

Coverage is partial: some question categories contributed usable observations and others none, and the exact collection dates are unverified. Each company counts at most once per answer, and top-three and first-place results sit inside recommendations rather than beside them. Rates use the full answer total, and one answer can name several companies, so company totals overlap. Comparisons across months use separate samples and do not establish why results changed.