CiteWorks Studio

Olly AI Market Strategy Report - Sleep and Stress Supplements

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Olly appeared in 15.89% of qualified observations but converted only 14.39% into valid recommendations, indicating a gap between visibility and shortlist inclusion.
  • The brand had a 4.30% top-three recommendation rate and zero rank-one placements, leaving it well behind leaders such as Thorne and Nature Made.
  • Sentiment was a strength: Olly recorded a 0.9176 net sentiment score with 79 positive mentions and only one negative mention across 85 appearances.
  • Google AI Mode was Olly's strongest platform for presence, while ChatGPT showed no mentions at all, making platform coverage a major weakness.

Answer Capsule

Olly holds a visible but under-recommended position in AI-generated supplement recommendations. In September 2026, the brand appeared in 15.89% of qualified AI observations but converted only 14.39% into valid recommendations, a gap that separates presence from shortlist eligibility. Olly's clearest win is its positive framing, with a net sentiment score of 0.9176 and only one negative mention across 85 appearances. Its clearest weakness is the complete absence of rank-one recommendations, meaning AI systems never position Olly as the single best answer. The clearest opportunity sits in the brand recommendation cluster, where Olly already appears in 85 observations but converts fewer than one in six into a top-three placement.

Who This Report Is For

This report is for Olly's brand, growth, and ecommerce leadership, and for category teams evaluating how sleep and stress supplement brands are discovered and shortlisted inside AI-generated recommendations.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Olly

Category / market studied

Sleep and Stress Supplements

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1 qualified (Best Vitamins and Dietary Supplements)

AI observations analyzed

535

Competitors tracked

9

Executive Summary

Olly is visible in AI-generated supplement recommendations but is not being shortlisted at the rate its presence would suggest. The brand appeared in 85 of 535 qualified observations in September 2026, a raw mention presence rate of 15.89%, yet received a valid recommendation in only 77 of those observations, a valid recommendation coverage of 14.39%. That 1.5-point gap between presence and recommendation is small in absolute terms, but it sits on top of a much larger structural problem: Olly is mentioned far more often than it is chosen.

The brand's recommendation placement is the sharper issue. Olly recorded a top-three recommendation rate of 4.30% and a rank-one recommendation rate of 0.00%. Across 535 qualified observations, AI systems placed Olly in the top three 23 times and never once named it as the single first recommendation. Its average recommended rank of 3.92 confirms that when Olly does appear in a recommendation list, it typically lands in the fourth position or lower.

Sentiment is not the constraint. Olly's net sentiment score of 0.9176 reflects 79 positive mentions, 5 neutral mentions, and 1 negative mention. The brand is framed favorably when it appears. The problem is not how AI systems describe Olly, it is how often they include Olly in the answer at all, and how rarely they place it near the top.

The strongest platform signal for Olly is Google AI Mode, where the brand captured a 4.11% share of AI opportunity and recorded a 19.15% raw mention presence rate. The weakest is ChatGPT, where Olly registered zero mentions across 48 observations and captured no recommendation value. Perplexity and Gemini also show thin presence, with Olly appearing in 2.74% and 21.21% of observations respectively on those surfaces.

The clearest gap is competitive displacement at the top of the answer list. Thorne holds a 91.21% valid recommendation coverage and a 49.53% rank-one rate. Nature Made holds 82.24% coverage and a 15.70% rank-one rate. Olly's 14.39% coverage and 0.00% rank-one rate place it in a distant sixth position, behind Ritual (60.00% coverage) and Nordic Naturals (39.07% coverage). The category's recommendation concentration is high, and Olly is on the outside of the shortlist that AI systems consistently produce.

What Olly Is Winning

Questions This Section Answers

  • Where does Olly's AI sentiment and platform presence look strongest?
  • Which platform shows Olly converting presence into a recommendation?

Olly's strongest evidence-backed win is its framing quality. The brand recorded a net sentiment score of 0.9176, with 79 positive mentions against a single negative mention. That is a cleaner sentiment profile than several higher-coverage competitors, including Momentous (0.9643) and HUM Nutrition (0.9667), and it indicates that when AI systems do surface Olly, they describe it favorably.

The brand's second win is its presence on Google AI Mode. Olly appeared in 27 of 141 AI Mode observations, a 19.15% raw mention presence rate, and captured a 4.11% share of AI opportunity on that surface. AI Mode is the highest-volume platform in the dataset by total opportunity, and Olly's presence there is meaningfully stronger than its presence on ChatGPT, Perplexity, or Gemini.

Olly also holds a narrow but real recommendation pocket on Copilot, where it recorded a 16.67% valid recommendation coverage and a 8.33% top-three rate. That is a small base, but it shows the brand can convert presence into recommendation on at least one surface.

Beyond these three signals, Olly's wins are limited. The brand has no rank-one recommendations, no top-three presence on Gemini or Perplexity, and no presence at all on ChatGPT. The report states this plainly rather than overstating the brand's position.

Where Olly Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Olly's total absence from rank-one AI recommendations matter?
  • Which platforms represent the biggest gaps in Olly's AI presence?
  • How does Olly's mention volume compare to its top-three recommendation rate?

Olly's most consequential gap is its complete absence from the rank-one position. Across 535 qualified observations, AI systems named Olly as the single first recommendation zero times. Thorne was named first 265 times, Nature Made 84 times, Ritual 50 times, Pure Encapsulations 45 times, and Nordic Naturals 13 times. Even Momentous, which holds only 5.05% valid recommendation coverage, recorded 2 rank-one placements. Olly's zero is a structural gap, not a rounding issue.

The second gap is conversion from presence to recommendation. Olly appeared in 85 observations but received valid recommendation credit in only 77. That 8-observation gap represents moments where AI systems mentioned the brand without recommending it, likely as a comparison anchor or category reference rather than a shortlist option. The brand's top-three rate of 4.30% means that in roughly 62 of the 85 observations where Olly appeared, it was not placed in the top three at all.

The third gap is platform coverage. Olly has zero presence on ChatGPT, which represents 48 observations and a 53,820 total monthly AI opportunity pool in the dataset. The brand also has minimal presence on Perplexity (2 observations, 2.74% presence rate) and Gemini (14 observations, 21.21% presence rate). These are surfaces where competitors like Thorne, Nature Made, and Ritual maintain strong recommendation positions. Olly's absence from ChatGPT in particular means the brand is invisible on a platform where Thorne holds a 91.67% valid recommendation coverage and an 83.33% rank-one rate.

The fourth gap is competitive displacement within the brand recommendation cluster. The cluster is the only qualified cluster in the September 2026 benchmark, and it is where all 535 observations sit. Within that cluster, Thorne, Nature Made, Pure Encapsulations, and Ritual collectively absorb the majority of top-three placements. Olly's 23 top-three placements represent 4.30% of the cluster, while Thorne's 449 placements represent 83.93%. The gap is not marginal.

Biggest Opportunity

Questions This Section Answers

  • How can Olly convert its existing AI mentions into top-three recommendations?
  • Which prompt types show Olly appearing but not making the shortlist?

Olly's single biggest opportunity is to convert its existing presence into top-three recommendation placement within the brand recommendation cluster. The brand already appears in 85 observations, which means AI systems have already retrieved and considered Olly in roughly one in six qualified answers. The problem is that Olly is not being placed in the shortlist those answers produce.

The path from reference to recommendation runs through the prompt types where Olly already appears but does not rank. Prompts such as "best multivitamin for women," "best supplements," and "best vitamin d supplement" are the ones where Olly shows up in the observation set but lands outside the top three. These are consideration-stage prompts where buyers are actively building a shortlist. If Olly can move from mention to top-three placement on even a fraction of these prompts, the brand's recommendation coverage would rise without requiring new presence.

This is a recommendation conversion problem, not a visibility problem. Olly does not need to be discovered by AI systems. It needs to be selected by them.

Competitive Landscape

Questions This Section Answers

  • How does Olly's recommendation rate compare to category leaders like Thorne and Nature Made?
  • Which competitor holds the strongest rank-one position in sleep and stress supplements?

Thorne and Nature Made hold the strongest recommendation-stage positions in the sleep and stress supplements category, with Thorne leading on both top-three rate and rank-one rate. Olly sits in sixth position by top-three rate, behind Ritual and Nordic Naturals, and holds no rank-one recommendations at all.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Thorne

83.93%

49.53%

1.64

0.9865

Nature Made

60.19%

15.70%

2.70

0.9852

Pure Encapsulations

55.33%

8.41%

2.71

0.9857

Ritual

31.40%

9.35%

3.26

0.9881

Nordic Naturals

8.97%

2.43%

4.15

0.9913

Olly

4.30%

0.00%

3.92

0.9176

Momentous

2.24%

0.37%

3.76

0.9643

HUM Nutrition

1.31%

0.00%

5.13

0.9667

Gaia Herbs

0.75%

0.19%

4.70

1.0000

Moon Juice

0.19%

0.00%

3.00

0.5000

Average recommended rank covers rank-eligible recommendations only.

Olly's 4.30% top-three rate places it below the category's top five brands and only marginally ahead of Momentous and HUM Nutrition. Its 0.00% rank-one rate is the lowest among all brands with any top-three presence, tied only with HUM Nutrition and Moon Juice. The table shows a brand that is present in the category conversation but is not being positioned as a leading choice.

Prompt Evidence

Google AI Mode / Best Vitamins and Dietary Supplements Prompt: "best multivitamin for women" Result: Olly appeared in the observation set but was not placed in the top three recommendations, with Thorne and Nature Made occupying the leading positions.

Copilot / Best Vitamins and Dietary Supplements Prompt: "best supplements" Result: Olly received a valid recommendation and landed in the top three on Copilot, one of the few surfaces where the brand converts presence into shortlist placement.

ChatGPT / Best Vitamins and Dietary Supplements Prompt: "best vitamin d supplement" Result: Olly was not mentioned on ChatGPT, where Thorne recorded a 91.67% valid recommendation coverage and an 83.33% rank-one rate.

Perplexity / Best Vitamins and Dietary Supplements Prompt: "best fish oil supplement" Result: Olly appeared in only 2 of 73 Perplexity observations, a 2.74% presence rate, while Ritual and Thorne dominated top-three placements on that surface.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every prompt where Olly appears but does not rank, and identify which competitors take the top-three positions Olly is missing.

Phase 2: Recommendation Readiness Plan Prioritize the consideration-stage prompts where Olly already has presence and build a plan to convert those mentions into shortlist placements.

Phase 3: Owned Answer Layer Buildout Strengthen the owned pages and structured content that AI systems retrieve when building supplement recommendation lists, with a focus on the product categories where Olly competes.

Phase 4: Citation / Authority Layer Development Develop the third-party source footprint that AI systems appear to draw from when forming supplement recommendations, particularly on surfaces where Olly has zero presence.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Olly's top-three rate, rank-one rate, and platform-level presence month over month to measure whether recommendation conversion is improving.

Why This Matters

AI-generated recommendations are becoming the shortlist. When a buyer asks an AI system which sleep or stress supplement brand to choose, the answer that comes back is not a list of every brand in the category. It is a ranked set of three to five options. Olly appears in the conversation but is not in that ranked set often enough, and it is never in the first position.

Presence alone does not put a brand on the shortlist. Olly's 15.89% presence rate and 0.9176 sentiment score show that AI systems know the brand and describe it favorably. But a 4.30% top-three rate and a 0.00% rank-one rate show that AI systems are not choosing it. The next move is targeted correction of the prompt, page, and citation layers that determine which brands make the shortlist and which brands are mentioned but passed over.

Core Metrics

Metric

Value

Mentions

85

Valid recommendations

77

Top 3 recommendation count

23

Rank #1 recommendation count

0

Average recommended rank

3.92

Positive mentions

79

Neutral mentions

5

Negative mentions

1

Raw mention presence rate

15.89%

Valid recommendation coverage

14.39%

Top 3 recommendation rate

4.30%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.9176

Strongest cluster by recommendation behavior

Best Vitamins and Dietary Supplements

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

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

Olly's sentiment score for September 2026 is 0.9176, calculated from 79 positive mentions, 5 neutral mentions, and 1 negative mention across 85 total appearances.

This score matters because unclassified mention counts are misleading. A brand that appears 85 times but is described negatively in half of those appearances is in a worse position than a brand that appears 40 times with consistently positive framing. Olly's score shows that AI systems frame the brand favorably when they include it. The constraint is inclusion, not perception.

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. Olly's 85 mentions include 77 valid recommendations and 8 mentions that did not convert to recommendation credit. Counting all 85 as wins would overstate the brand's position. Classified sentiment is required before interpreting AI visibility, and Olly's classified sentiment shows a brand that is liked but not selected.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Mode

27

26

1

0

0.9630

Strongest public presence signal

Google AI Overviews

26

25

1

0

0.9615

Present, but not recommendation-led

Copilot

16

13

2

1

0.7500

Present with recommendation conversion

Gemini

14

13

1

0

0.9286

Present, but not recommendation-led

Perplexity

2

2

0

0

1.0000

Positive, but sample too small

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a benchmark-based analysis of Olly's position in AI-generated supplement recommendations. It is not a client result and does not imply that CiteWorks Studio caused any benchmark outcome.
  2. The reporting window is September 2026, with August 2026 baseline comparisons where the source data provides them.
  3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The September 2026 benchmark analyzed 535 qualified observations drawn from 800 source prompt-surface observations and 577 unique questions.
  5. The competitor universe includes ten tracked brands: Thorne, Nature Made, Pure Encapsulations, Ritual, Nordic Naturals, Olly, Momentous, HUM Nutrition, Gaia Herbs, and Moon Juice.
  6. One qualified buyer-intent cluster was measured in September 2026: Best Vitamins and Dietary Supplements, classified as a consideration-stage cluster. The pricing-and-value and multi-brand-comparison clusters contained zero qualified observations in the current public series.
  7. Stage 0 extraction retained the query, the AI or search surface, the answer, the brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is counted when a brand appears anywhere in a qualified AI response, regardless of whether it is recommended.
  9. A valid recommendation is counted only when the dataset explicitly marks the brand as recommended, not when it is mentioned as a comparison anchor, category reference, or cautionary example.
  10. Brand-level percentages use the 535 qualified observations as the public denominator, not the larger raw collection funnel.
  11. Several brands in this vertical have small valid recommendation counts. Olly's 77 valid recommendations are sufficient for directional analysis, but platform-level rates on Perplexity and Gemini rest on small bases and should be read with that caveat in mind.
  12. Movement between months identifies changes worth investigating. It does not by itself establish the cause of those changes.

See How AI Is Recommending Your Brand

The public benchmark shows where Olly stands in AI-generated supplement recommendations. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and evidence sources behind those numbers, and turns the aggregate position into a prioritized plan for moving Olly from mention to shortlist.

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What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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