Multivitamins AI Visibility Index 2026

Thorne led the measured multivitamin results, appearing in 56.9% of 288 answers returned across Perplexity, ChatGPT, Gemini, and Claude. Garden of Life, Nature Made, Ritual, and Pure Encapsulations followed, but Thorne's 95% interval overlaps each of their intervals through Pure Encapsulations. The result describes 24 measured prompts on September 30, 2026, not all multivitamin searches.

Owned domains received a small share of citations compared with health publishers and comparison content. Nature Made had the highest owned-domain citation rate at 10.4% of answers with retrieval evidence, while Healthline appeared as a cited source in 62.5% of those answers. This Multivitamins report is one segment of the Supplements AI Visibility Index 2026.

For multivitamin marketers, being named and being cited are different outcomes. A brand can appear often in recommendations while its own site is cited infrequently. That distinction matters when teams decide which pages, product facts, and third-party verification details need clearer documentation.

Which multivitamin brands lead the leaderboard?

Thorne ranks first with a 56.9% appearance rate, based on answers returned. Garden of Life is second at 50.7%, and Nature Made is third at 50%. The leading group appears across all four engines, although the rates vary sharply by engine.

The leaderboard measures brand appearance in answers returned, not citation frequency. It includes brands and named verification bodies detected in the measured answers. The separate citation analysis below uses answers with retrieval evidence.

Multivitamin appearance leaderboard

Appearance rate measures the share of the 288 returned AI answers that named each brand.

Thorne's 95% interval of 51.2% to 62.5% overlaps Garden of Life's 44.9% to 56.4%, Nature Made's 44.3% to 55.7%, Ritual's 35.8% to 47.1%, and Pure Encapsulations' 31.4% to 42.5%. The sample does not establish that Thorne is more visible than those brands. It does place Thorne at the top of this measured leaderboard.

The leading multivitamin brands had different strongest engines. ChatGPT named the first six brands more often than other engines, while Perplexity was strongest for Nature Made among the top three. The profiles use answer-returned appearance rates and each brand's average first-mention position. Owned-domain rates use answers with retrieval evidence.

Where do the engines disagree?

The engines disagree materially on which multivitamin brands and verification bodies they name. Each engine returned 72 answers, so the per-engine percentages have the same answer base. The gaps may reflect differences in model behavior and retrieval tools, not a single measure of underlying brand visibility.

Engine-by-brand appearance rates

Each cell is calculated using that engine's own answer count as the denominator, allowing row-by-row engine comparison.

ChatGPT gave the strongest appearance rates to Garden of Life at 91.7%, Thorne at 81.9%, Nature Made at 76.4%, MegaFood at 61.1%, and both Ritual and Pure Encapsulations at 59.7%. Claude named the same brands far less often: 16.7% for Garden of Life, 34.7% for Thorne, 15.3% for Nature Made, 6.9% for MegaFood, 19.4% for Ritual, and 18.1% for Pure Encapsulations.

Gemini had a different pattern for third-party verification entities. It named USP in 59.7% of its 72 answers and NSF in 31.9%, while Claude named neither. ChatGPT named USP in 2.8% and NSF in 1.4%. Clean Label Project was named in 23.6% of Gemini answers and 0% of the other three engines.

Some brands were concentrated in a single engine. Nature's Way appeared in 19.4% of Perplexity answers but 6.9% of ChatGPT answers, 1.4% of Gemini answers, and 0% of Claude answers. Transparent Labs appeared in 13.9% of Perplexity answers, compared with 1.4% in ChatGPT, 2.8% in Gemini, and 4.2% in Claude. NATURELO was comparatively balanced at 8.3% in Perplexity, 18.1% in ChatGPT, 8.3% in Gemini, and 12.5% in Claude.

Which brands lead each demand cluster?

The demand-cluster results identify the brands leading each measured question group. General buyer-intent and more narrowly need-based questions represent distinct forms of demand, so their leaders should not be interpreted as a single combined ranking.

Brand leaders by demand cluster

The answers are also regrouped by the demand cluster from which each prompt was sampled; rates use the answer count for that cluster as their denominator.

The cluster chart identifies where each brand appears most often within the measured prompts. It is useful for separating broad multivitamin selection visibility from visibility tied to a more specific need. The chart does not establish product quality, clinical suitability, or a consumer recommendation.

Which sites receive citations in multivitamin answers?

Owned-domain citations were limited relative to cited publishers. Nature Made had the highest owned-domain citation rate at 10.4% of answers with retrieval evidence. Life Extension followed at 8.7%, then Thorne at 4.5% and NSF at 3.8%.

Owned-domain citation rates

This is the share of the 288 answers with retrieval evidence that cited a URL on the brand's own website.

Owned-domain citation rates use 288 answers with retrieval evidence. A citation rate is not the same as an appearance rate. Nature Made was named in 50% of answers returned, while its domain was cited in 10.4% of answers with retrieval evidence. Brands should read these as separate measures of recommendation presence and source selection.

Most cited publisher domains

Evidence publishers are counted once per answer, rather than once for every link.

Healthline was cited in 62.5% of answers with retrieval evidence. ConsumerLab appeared in 41.3%, Fortune in 40.6%, and Medical News Today in 35.4%. Retailer and comparison-oriented domains also appeared, including Amazon in 18.8%, Walmart in 12.2%, and Target in 11.1%.

The measured source mix does not support a claim that owned brand sites carry the citation conversation. Health publishers, testing content, retail pages, and buying guides appeared more often. ConsumerLab's 41.3% answer penetration is relevant to the brief's focus on independent testing, but this study does not measure whether certification signals caused any brand's visibility.

Who is winning and who is at risk?

Brands with the strongest measured position

Thorne is first by appearance rate at 56.9%, with an average first-mention position of 3 and appearance on all four engines. Nature Made ranks third at 50%, but its owned-domain citation rate of 10.4% is the highest measured. Garden of Life ranks second at 50.7% and reached 91.7% in ChatGPT's 72 answers. These are measured advantages within this prompt set, subject to the overlapping intervals at the top of the leaderboard.

Brands with measured exposure risk

OLLY had an 8.3% appearance rate and a 0% owned-domain citation rate among answers with retrieval evidence. Legion had a 6.6% appearance rate and a 0% owned-domain citation rate. Nature's Way reached 19.4% in Perplexity but had 0% in Claude, while Clean Label Project appeared only in Gemini at 23.6% and had a 5.9% overall appearance rate. These patterns leave visibility dependent on a narrow portion of the measured engine set.

What does the tally say about multivitamin visibility?

The top of the multivitamin leaderboard is close within this sample. Thorne's interval overlaps the intervals of Garden of Life, Nature Made, Ritual, and Pure Encapsulations, so the data does not support a claim that Thorne is more visible than those brands. The leaderboard does show that the first six brands each appeared in more than one-third of answers returned.

Engine agreement is uneven. Thorne, Garden of Life, Nature Made, Ritual, Pure Encapsulations, MegaFood, Centrum, NOW, and SmartyPants all appeared across every engine. Yet their rates differed markedly, especially between ChatGPT and Claude. Verification bodies also diverged: USP and NSF had 75% cross-engine consistency, while Clean Label Project had 25%.

Citations leaned toward third-party publishers. Healthline, ConsumerLab, Fortune, and Medical News Today each had higher answer penetration than any measured owned-domain citation rate. The named brands requested in the brief were measured in this report: Centrum appeared at 29.9%, One A Day at 20.5%, Ritual at 41.3%, Garden of Life at 50.7%, Thorne at 56.9%, and Pure Encapsulations at 36.8%.

What changed during the measurement window?

This measurement captured repeated responses, not a before-and-after series, so it cannot document category changes over time. It does show repeat-generation variation, including 49.3% repeat consistency for Thorne, 53% for Garden of Life, 50.8% for Nature Made, and 34.5% for Ritual.

What should multivitamin brands do next?

• Separate brand appearance from citation performance. Nature Made appeared in 50% of answers returned and had a 10.4% owned-domain citation rate among answers with retrieval evidence. Re-measure both rates after publishing product pages that state formula, audience, ingredients, and verification information in plain language.
• Close engine-specific gaps. Garden of Life appeared in 91.7% of ChatGPT answers but 16.7% of Claude answers. Review the pages and third-party sources retrieved for the same measured queries, then re-run the engine split.
• Document third-party verification precisely. USP appeared in 59.7% of Gemini answers and 0% of Claude answers, while NSF appeared in 31.9% of Gemini answers and 0% of Claude answers. Publish verification details with the named standard, scope, and product-level applicability, then measure whether relevant answers cite those pages.
• Strengthen source material for brands with no owned-domain citations. OLLY and Legion had 0% owned-domain citation rates among answers with retrieval evidence. Build pages that answer the product facts users need, then re-measure owned-domain citation rates against the same prompt set.
• Reduce dependence on one engine. Clean Label Project appeared in 23.6% of Gemini answers and 0% elsewhere. Test whether neutral explanations of its criteria are available through sources used by Perplexity, ChatGPT, and Claude, then compare cross-engine consistency.
• Improve early-answer placement. Centrum's average first-mention position was 6.8 and NOW's was 8. Publish direct comparison and suitability material that can support concise recommendation lists, then re-measure average first-mention position.

What does this mean for multivitamin brands?

Interpretation: multivitamin visibility is not a single score. The measured answers separate brands that are regularly named from brands whose sites are selected as evidence. A content plan that tracks only appearances can miss weak owned-domain citation rates. A plan that tracks only citations can miss whether the brand is named early or consistently.

Interpretation: third-party verification language appears in the measured answers, especially in Gemini, but the tally does not prove that a USP, NSF, or ConsumerLab signal causes a brand to be named or cited. Brands can treat verification documentation as a testable content topic rather than a proven ranking factor.

How was multivitamin AI visibility measured?

This flagship study generated 288 attempted and returned answers by testing 24 stratified multivitamin prompts three times in Perplexity, ChatGPT, Gemini, and Claude. All 288 included retrieval evidence. Appearance rates are based on returned answers, while citation and source rates are based on answers with retrieval evidence.

Measurement summary

How this study was measured

• The sampling frame was set first: 24 prompts were allocated across the demand clusters before any questions were asked.
• Every engine received the same questions: Perplexity (sonar-pro), ChatGPT (OpenAI), Gemini (Google), Claude (Anthropic), 3 trial(s) each.
• 288 answers returned of 288 attempted, 288 with retrieval evidence.
• Product lines were assigned to parent brands under a registry fixed before scoring.
• Appearance rate is presented with a 95% Wilson interval; citation metrics include only answers with evidence.

The study measures these prompts on September 30, 2026. It does not measure all consumer searches, product quality, safety, clinical outcomes, sales, or consumer demand. Repeated generations show variation, and engine differences can arise from model behavior and retrieval tools.

Charts and data tables

Because these are not category brands, they are measured in the same way but excluded from the brand leaderboard.

Methodology appendix

This appendix comes directly from the study's measurement record. It is provided so any brand named here can reproduce or challenge the result.

What was measured

• Category: Multivitamins
• Measurement date: 2026-09-30
• Depth: flagship: 24 prompts, 3 trial(s) per prompt per engine, 4 engines
• Answers attempted: 288
• Answers returned (appearance denominator): 288
• Answers with retrieval evidence (citation denominator): 288 (100% of attempted)
• Answers that failed outright: 0
• Analysis version: study-methodology-v2 · entity registry: entity-registry-2026-08-27

Claim limit: Flagship depth uses 24 stratified prompts measured three times per engine, making both between-prompt and repeat-generation variation observable.

How the prompts were sampled

The sampling frame is fixed: 14 buyer-intent need(s) from the client's brief are asked verbatim, one prompt each, grouped under: Multivitamins; then , then a documented set of generic commercial demand clusters (general best, everyday mainstream choice, price/value, primary use case, beginner, retail channel, gifting/occasion, specific need, comparison, trust, ownership attribution, quality tier, durability, specialist, emerging) receives the remaining allocation round-robin. The prompt writer provides wording only within these cells and does not select the category's demand structure.

Results cannot be treated as strictly comparable across engines: each uses a different model, retrieval tool and answer format, so observed gaps can reflect system design as well as brand visibility.

How each metric is defined

• Appearance rate: the share of returned answers that named the brand. It is measured on every answer returned by the engine, regardless of whether it searched the web, preventing an engine's retrieval behaviour from silently altering the denominator.
• Macro appearance rate: the average of per-prompt appearance rates, giving each prompt one count regardless of how many engines answered it.
• 95% interval: the Wilson score interval for the appearance rate. When two brands' intervals overlap, this study does not support a claim that either is more visible.
• Owned-domain citation rate: the share of answers with retrieval evidence that cited a URL on the brand's own domain. It narrowly indicates use of the brand's own site as a source, not total mentions.
• Share of all citations: the share of all attributed publisher citations in the study accounted for by the brand's own domain.
• Not measured: no citation result exists because the brand's official domain could not be established. It is never reported as 0%.
• 0%: the metric was evaluable, but the event did not occur.
• Average position: the mean position of the brand's first mention in the answer's ordered list of named brands.
• Cross-engine consistency: the share of engines that named the brand at least once.
• Repeat consistency: the share of repeated prompt/engine cells in which the brand appeared in every trial. Lower values indicate instability in the engine's answer rather than brand absence.

Evidence rules

• An answer is counted as having retrieval evidence only if the engine returned a retrieval receipt (search annotations or grounding records). A URL merely typed by the model in its prose is not considered evidence that it searched.
• Sources are assigned to the publisher behind each retrieval receipt. Intermediary and redirect hosts are not reported as publishers.
• Publisher identity could not be established for 0 retrieval receipt(s); these are disclosed here rather than attributed or omitted.
• Source counts operate at answer level: a publisher is counted once in an answer where it was cited, not once per URL.

Entity handling

Brand-level metrics assign product lines and model names to their parent brand under a registry fixed before scoring. No names are merged solely on the basis of this study's own counts.

No roll-ups were applied in this study.

40 further name(s) found in the answers could not be confidently resolved to a brand in this category and are retained for human classification before the next study; no metrics are assigned here.

Limits of these findings

• This measures what the named systems returned for these exact prompts at a point in time on 2026-09-30. Engine behaviour can change without notice.
• The prompt set is a stratified category-demand sample, not a census. Findings describe these prompts and should not be interpreted as representing all category searches.
• At this sample size, differences between brands are not statistically distinguishable where intervals overlap.
• A brand absent from this list was not measured as absent: it was simply not named in these answers.
• Appearance measures visibility, not endorsement, quality or market share.
• 1 of 25 ranked brand(s) had no official domain established before scoring, so it has appearance results only and is excluded from citation metrics and source tables rather than reported as zero.