CiteWorks Studio

Live it Up AI Market Strategy Report - Greens and Superfood Supplements

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Valid recommendation coverage fell from 52.3% in July 2026 to 39.4% in September 2026, showing weaker visibility across six tracked platforms.
  • Top-three placement dropped from 45.5% to 26.2%, indicating Live it Up is still mentioned but appears lower in recommendation lists.
  • Sentiment remained strong, with 130 positive mentions and only 3 negative mentions across 146 total mentions.
  • Gemini was the strongest platform for prominent placement, while ChatGPT showed the clearest gap between brand presence and actual recommendation strength.

Answer Capsule

Live it Up holds meaningful presence in AI-generated recommendations for greens and superfood supplements, but its recommendation power weakened materially between July 2026 and September 2026. Valid recommendation coverage across six AI platforms fell 12.9 points to 39.4%, while the top-three placement rate dropped 19.3 points to 26.2%, indicating the brand is still surfaced but positioned lower in AI answers. Its clearest strength remains a positive sentiment profile, with 130 positive mentions against only 3 negative ones. The clearest opportunity is recovering top-three placement in greens and superfood supplement discovery prompts, where competitors such as AG1 now capture slots that Live it Up held in July 2026.

Who This Report Is For

This report is for marketing, brand, and growth leaders at Live it Up who need to understand how AI systems are currently recommending the brand in greens and superfood supplement discovery conversations.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Live it Up

Category / market studied

Greens and Superfood Supplements

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

325

Competitors tracked

9

Executive Summary

Live it Up entered the July-to-September 2026 window as a strong second-tier brand in AI-generated greens and superfood supplement recommendations, then lost meaningful ground across two consecutive months. The brand's valid recommendation coverage fell from 52.3% in July 2026 to 39.4% in September 2026, a decline of 12.9 points. Its presence rate dropped from 57.3% to 44.9% over the same period, meaning AI systems now surface Live it Up in fewer discovery answers overall.

The sharper problem is placement. Live it Up's top-three rate fell from 45.5% in July 2026 to 26.2% in September 2026, a decline of 19.3 points. Its rank-one rate also slipped from 11.0% to 6.8%. The gap between the presence decline of 12.4 points and the top-three decline of 19.3 points suggests Live it Up is still appearing in AI answers but being positioned further down the recommendation list, often below the top three where buyer attention concentrates.

Live it Up recorded 146 mentions across 325 qualified observations in September 2026, with 130 positive mentions, 13 neutral mentions, and 3 negative mentions. The brand's strongest platform signal came from Gemini, where it achieved a 59.52% top-three rate and a 23.81% rank-one rate. Its weakest platform signal was ChatGPT, where Live it Up appeared in 32% of observations but achieved no top-three placements at all.

The strongest cluster for Live it Up was the Best Greens and Superfood Supplements consideration cluster, which accounted for all 325 qualified observations in the public series. The weakest area is not a specific cluster but the absence of qualified observations in comparison and pricing intent classes, which means the public benchmark cannot yet show how Live it Up performs when buyers directly compare brands or weigh value.

What Live it Up Is Winning

Questions This Section Answers

  • Where does Live it Up still earn prominent AI recommendation placement?
  • How strong is Live it Up's sentiment profile in AI answers?

Live it Up maintains a strong sentiment profile. The brand recorded 130 positive mentions against only 3 negative mentions in September 2026, producing a net sentiment score of 0.8699. AI systems that mention Live it Up generally frame it favorably.

The brand also holds a narrow but meaningful recommendation pocket on Gemini. On that platform, Live it Up achieved a 59.52% top-three rate and a 23.81% rank-one rate across 42 observations, with 27 valid recommendations. This is the clearest evidence that Live it Up can still win prominent placement when the right prompt and platform conditions align.

Live it Up's average recommended rank of 2.75 across all rank-eligible recommendations shows that when the brand is placed in a top-ten list, it tends to sit near the top of that list rather than at the bottom. The issue is that it is being included in those lists less often.

Where Live it Up Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Which platform shows the clearest gap between Live it Up's presence and its top-three placement?
  • How does competitor displacement explain Live it Up's loss of top-three recommendation slots?

Live it Up's most significant gap is the loss of top-three placement. The brand's top-three rate fell from 45.5% in July 2026 to 26.2% in September 2026, a decline of 19.3 points. This is a larger drop than its presence decline, which means Live it Up is being displaced from the most visible recommendation slots even when it remains present in the answer.

ChatGPT represents the clearest platform gap. Live it Up appeared in 32% of ChatGPT observations in September 2026 but received zero top-three placements and zero rank-one placements. The brand was present in 16 of 50 observations but only received 4 valid recommendations, all positioned at an average rank of 4.25. This suggests Live it Up is being mentioned as context or comparison material on ChatGPT rather than being recommended as a primary option.

Competitor displacement is visible in the overall numbers. AG1 holds a 75.4% valid recommendation coverage rate with a 56.6% rank-one rate, meaning AG1 is the default first choice in most answers. Amazing Grass, despite its own coverage decline, still holds a 48.0% coverage rate and a 24.0% top-three rate. Live it Up's average recommended rank of 2.75 is competitive when it earns placement, but its 26.2% top-three rate means it is being pushed below the top three in nearly three-quarters of the answers where it appears.

Biggest Opportunity

The clearest opportunity for Live it Up is recovering top-three placement in AI-generated recommendation answers. The brand's presence rate of 44.9% shows it is still part of the conversation, but its top-three rate of 26.2% shows it is not converting that presence into prominent recommendation slots. The gap between presence and top-three placement is the single largest strategic lever available.

This is a recommendation conversion problem rather than an awareness problem. Live it Up needs to identify which prompts now position it below the top three, which competitors are taking those higher slots, and what attributes AI systems associate with the brands that displace it. The Gemini results prove the brand can win prominent placement; the task is replicating that outcome across ChatGPT, AI Overviews, and AI Mode, where Live it Up currently underperforms its overall averages.

Competitive Landscape

Questions This Section Answers

  • How does Live it Up's top-three rate compare with the category leader AG1 and other challenger brands?

AG1 holds dominant recommendation-stage strength in the greens and superfood supplements category, while Live it Up sits in a competitive middle tier that is losing ground to the category leader and facing pressure from brands with stronger top-three conversion.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Live it Up

26.15%

6.77%

2.75

0.8699

Amazing Grass

24.00%

3.38%

3.3071

0.8526

Garden of Life

21.85%

4.62%

3.0796

0.9562

Bloom Nutrition

17.54%

1.54%

3.4737

0.8187

Transparent Labs

17.54%

2.15%

3.2

0.9652

Organifi

4.92%

0.92%

3.8723

0.9831

Nested Naturals

1.54%

0.00%

3.1429

0.9286

KOS

1.54%

0.00%

3.5

0.75

Average recommended rank covers rank-eligible recommendations only.

The table shows Live it Up holding the highest top-three rate among the tracked brands below AG1, but the gap to the category leader is substantial. AG1's 69.85% top-three rate and 56.62% rank-one rate place it in a different competitive tier entirely. Live it Up's 26.15% top-three rate is the strongest among the challenger brands, yet its 6.77% rank-one rate means it rarely wins the single top recommendation slot.

Prompt Evidence

Gemini / Best Greens and Superfood Supplements Prompt: "best greens powder" Result: Live it Up was recommended in the top three in 59.52% of Gemini observations, with a rank-one rate of 23.81%, its strongest platform performance.

ChatGPT / Best Greens and Superfood Supplements Prompt: "green powder" Result: Live it Up appeared in 32% of ChatGPT observations but received zero top-three placements, indicating presence without recommendation conversion.

Google AI Overviews / Best Greens and Superfood Supplements Prompt: "greens supplement" Result: Live it Up achieved a 30.84% top-three rate and a 5.61% rank-one rate, showing moderate placement strength on this surface.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where Live it Up is present but positioned below the top three, and identify which competitors are taking those higher slots.

Phase 2: Recommendation Readiness Plan Build a prompt-level strategy to convert Live it Up's existing presence into valid top-three recommendations, prioritizing the ChatGPT gap where presence currently produces no prominent placement.

Phase 3: Owned Answer Layer Buildout Strengthen owned content that answers high-intent greens and superfood supplement questions directly, giving AI systems clearer material to cite when forming recommendations.

Phase 4: Citation / Authority Layer Development Expand the public evidence layer that supports Live it Up's positioning, focusing on sources that AI systems can retrieve and synthesize when answering discovery prompts.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Live it Up's presence, top-three rate, and rank-one rate monthly to measure whether placement recovery is occurring and where remaining gaps persist.

Why This Matters

AI-generated recommendations are becoming the decision moment for greens and superfood supplement buyers. When a buyer asks an AI assistant for the best greens powder, the brands named first and placed in the top three are the ones that enter the consideration set. Live it Up is still present in these answers, but presence alone is not enough when the brand is being positioned below the top three in most cases.

The next move is targeted correction of the prompt, page, and citation layers. Live it Up needs to identify why ChatGPT surfaces the brand without recommending it prominently, why its top-three placement declined faster than its presence, and which competitors are capturing the slots it held in July 2026. The brand's strong sentiment profile and its proven performance on Gemini show the raw material for recovery exists; the task is converting that material into consistent top-three placement across all six AI surfaces.

Core Metrics

Metric

Value

Mentions

146

Valid recommendations

128

Top 3 recommendation count

85

Rank #1 recommendation count

22

Average recommended rank

2.75

Positive mentions

130

Neutral mentions

13

Negative mentions

3

Raw mention presence rate

44.92%

Valid recommendation coverage

39.38%

Top 3 recommendation rate

26.15%

Rank #1 recommendation rate

6.77%

Net sentiment score

0.8699

Strongest cluster by recommendation behavior

Best Greens and Superfood Supplements

Strongest platform by recommendation behavior

Gemini

Sentiment Score

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

For Live it Up in September 2026, this equals (130 × 1 + 13 × 0 + 3 × -1) / 146, producing a net sentiment score of 0.8699.

This score matters because unclassified mention counts are misleading. A brand can appear in hundreds of AI answers and still be losing ground if those mentions are neutral references, cautionary notes, or comparison anchors rather than positive recommendations. 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, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates brands that are genuinely recommended from brands that are merely discussed.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

16

4

12

0

0.25

Present as context, not recommendation

Copilot

7

6

1

0

0.8571

Positive, but sample too small

Gemini

27

27

0

0

1.0

Strongest public recommendation signal

Perplexity

6

6

0

0

1.0

Positive, but sample too small

Google AI Mode

26

23

0

3

0.7692

Present, but with negative framing

Google AI Overviews

64

64

0

0

1.0

Strong positive presence

Methodology

  1. This report is a benchmark-based analysis of Live it Up's AI visibility and recommendation performance in the greens and superfood supplements category, drawn from the LLM Authority Index AI Market Discovery Index public benchmark and supporting metrics aggregation data.
  2. The reporting window is September 2026, with July 2026 as the baseline month and August 2026 as an intermediate reading.
  3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The qualified benchmark set for September 2026 contained 325 observations, down from 354 in July 2026. Each monthly run began with 800 raw prompt-surface observations.
  5. The competitor universe included 9 tracked brands: AG1, Amazing Grass, Bloom Nutrition, Garden of Life, KOS, Live it Up, Nested Naturals, Organifi, and Transparent Labs.
  6. All 325 qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class. No qualified observations were recorded 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 qualified observation where the brand appears in the AI response, regardless of whether it is recommended.
  9. A valid recommendation is defined as a brand appearing in a recommendation-shaped answer with at least two recommended options.
  10. The public benchmark does not measure market share, sales attribution, organic-search ranking positions, social media mention volume, or private and sponsored channels.
  11. Coverage rates for brands with small absolute counts should be read with caution; Live it Up's September 2026 counts are based on 146 mentions and 128 valid recommendations, which provide a stable basis for percentage interpretation.
  12. Source presence in the benchmark reflects the information environment and is not automatically proof that a source caused a recommendation.

Get Your AI Visibility Audit

The public benchmark shows where Live it Up is winning and losing in AI-generated recommendations, but the aggregate percentages cannot identify the specific prompts, competitors, and sources driving each result. A company-level AI visibility audit maps those patterns into a prioritized strategy for recovering top-three placement and converting presence into recommendation power.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

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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