Join Found AI Visibility Market Strategy Report - Weight Loss and Metabolic Health

Answer Capsule

Found holds 38.0% valid recommendation coverage in the October 2026 LLM Authority Index benchmark for Weight Loss and Metabolic Health, ranking fourth of nine tracked brands. The brand is the month's largest single-month riser, up 13.5 points from 24.5% in September 2026, but its rank-one rate remains just 3.53%, meaning Found is being added to AI recommendation shortlists far more often than it is being placed first. Found's clearest win is its category-leading net sentiment of 0.9327 and its strongest platform signal on Google AI Overviews, where it reaches 46.05% valid recommendation coverage. Its clearest gap is top-slot displacement: WeightWatchers holds a 19.22% rank-one rate against Found's 3.53%, and Found converts 40.78% raw mention presence into recommendation credit at a lower rate than the three brands ahead of it. The biggest opportunity is converting expanded shortlist inclusion into first-position recommendations across the Brand Recommendation cluster.

Who This Report Is For

This report is written for Found's growth, brand, and commercial strategy teams, and for category analysts tracking how AI-generated recommendations are reshaping buyer shortlists in weight loss and metabolic health.

Report Card

Executive Summary

Found is visible in AI-generated recommendations and is expanding its shortlist presence quickly, but it is not yet winning the top slot at the rate its coverage growth would suggest. The October 2026 LLM Authority Index benchmark records Found at 38.0% valid recommendation coverage, up 15.1 points from the July 2026 baseline of 22.9% and up 13.5 points from 24.5% in September 2026, the largest single-month move in the category this month. The benchmark classifies that movement as a significant riser.

The gap between presence and recommendation conversion is the central story. Found appeared in 40.78% of qualified observations as a raw mention, but converted that presence into valid recommendation credit in 38.0% of observations. That is a narrower conversion gap than the retail brands carry, but it sits below WeightWatchers, Noom, and Ro, all of which convert presence into recommendation credit at higher rates.

Placement quality is where Found's position is weakest relative to its coverage. Found recorded 61 top-three placements and 9 rank-one placements in October 2026. Its top-three rate of 23.92% is roughly two-thirds of Noom's 36.86% and well behind WeightWatchers at 40.78%. Its rank-one rate of 3.53% is the sharpest divergence: WeightWatchers holds 19.22%, Ro holds 16.08%, and Noom holds 14.12%. Found is being added to lists, not leading them.

Sentiment is Found's strongest signal. The benchmark records a net sentiment score of 0.9327 for Found, the highest of any tracked brand in the category, ahead of Noom at 0.8639 and WeightWatchers at 0.8057. Found recorded 97 positive mentions, 7 neutral mentions, and zero negative mentions across 255 qualified observations. The framing quality around the brand is strong.

Platform performance is uneven. Found's strongest platform signal is Google AI Overviews, where it reaches 46.05% valid recommendation coverage with 35 valid recommendations and 19 top-three placements. Its weakest platform signal among those with meaningful volume is Copilot, where it reaches 36.36% coverage but records only 6 top-three placements and a rank-one rate of 3.03%. On ChatGPT, Found reaches 33.33% coverage with zero rank-one placements.

The clearest cluster gap is structural rather than competitive. All 255 qualified observations in October 2026 fell into the Brand Recommendation cluster. The benchmark's Pricing & Value and Multi-Brand Comparison clusters produced no qualified observations this month, so Found's position in pricing and head-to-head comparison prompts cannot be assessed from the public benchmark. That is a measurement gap, not a performance finding.

The clearest competitive gap is against WeightWatchers. WeightWatchers holds 54.12% valid recommendation coverage, 40.78% top-three rate, and 19.22% rank-one rate, and it leads the category on all three. Found trails by 16.1 points on coverage, 16.9 points on top-three rate, and 15.7 points on rank-one rate. The distance is largest at the top of the list.

What Found Is Winning

Questions This Section Answers

• Why does Found's sentiment score stand out even though it trails on rank-one recommendations?
• How significant is Found's coverage growth from September to October 2026?
• Which platform gives Found its strongest recommendation signal?

Found's strongest evidence-backed win is sentiment and framing quality. The benchmark records a net sentiment score of 0.9327, the highest in the category, with 97 positive mentions against zero negative mentions. When AI systems mention Found, they frame it positively.

Found's second win is momentum. The brand posted the largest single-month coverage gain in the category, rising 13.5 points from 24.5% in September 2026 to 38.0% in October 2026. Against the July 2026 baseline of 22.9%, the four-month gain is 15.1 points, which the benchmark classifies as significant. Found also rose against the immediate prior month, confirming the movement is not a single-month artifact.

Found's third win is platform strength on Google AI Overviews. The brand reaches 46.05% valid recommendation coverage on that surface, with 35 valid recommendations and 19 top-three placements. That is Found's highest coverage figure across the six tracked platforms and its strongest top-three count.

Found's fourth win is shortlist inclusion growth. The brand recorded 61 top-three placements in October 2026, up from a top-three rate of 13.5% at the July 2026 baseline to 23.92% in October 2026. The brand is being added to AI recommendation lists at a materially higher rate than three months ago.

These are real gains. They do not yet amount to category leadership, and the rank-one rate of 3.53% shows Found is not winning the first-position slot at anywhere near the rate of the three brands ahead of it.

Where Found Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why is Found's rank-one rate so low compared to competitors with similar coverage?
• How much less efficiently does Found convert raw mentions into recommendation credit than WeightWatchers, Noom, and Ro?
• Which platforms show the weakest top-slot conversion for Found?

Found's clearest gap is top-slot displacement. The brand holds 38.0% valid recommendation coverage but only a 3.53% rank-one rate. WeightWatchers holds 54.12% coverage and a 19.22% rank-one rate. Ro holds 49.41% coverage and a 16.08% rank-one rate. Noom holds 49.41% coverage and a 14.12% rank-one rate. Found appears in recommendation shortlists at a rate approaching the leaders, but it is almost never the first brand named.

The second gap is conversion efficiency. Found's raw mention presence rate is 40.78%, and its valid recommendation coverage is 38.0%. The 2.78-point gap between presence and recommendation credit is narrow, which is a positive signal, but the absolute conversion rate still trails the top three. WeightWatchers converts 68.63% presence into 54.12% coverage, Noom converts 57.65% into 49.41%, and Ro converts 64.71% into 49.41%. Found converts 40.78% into 38.0%. The brand is efficient with the presence it has, but it has less presence to work with.

The third gap is platform inconsistency. Found reaches 46.05% coverage on Google AI Overviews and 39.34% on Google AI Mode, but only 33.33% on ChatGPT and 36.36% on Copilot. On ChatGPT, Found records zero rank-one placements across 12 observations. On Copilot, it records 6 top-three placements and a rank-one rate of 3.03%. The brand's recommendation strength is concentrated on Google surfaces.

The fourth gap is the absence of qualified data in the Pricing & Value and Multi-Brand Comparison clusters. All 255 qualified observations fell into the Brand Recommendation cluster. Found's position when AI systems compare brands head-to-head or discuss cost cannot be assessed from the public benchmark. The benchmark notes that pricing conflicts do exist beneath the surface of these responses, but they sit outside the qualified recommendation set the public benchmark measures.

The fifth gap is the distance to WeightWatchers on top-three rate. Found's 23.92% top-three rate is 16.86 points behind WeightWatchers at 40.78%. The brand is in the top three in roughly one of every four qualified observations, while WeightWatchers is in the top three in roughly two of every five.

Biggest Opportunity

Questions This Section Answers

• What is the specific mechanism Found needs to improve to gain first-position recommendations?
• Where do Found's top-three placements already exist, and on which platform is the top-three-to-rank-one conversion gap widest?

Found's biggest opportunity is converting expanded shortlist inclusion into first-position recommendations within the Brand Recommendation cluster. The brand has already proven it can grow top-three placements, rising from a 13.5% top-three rate at the July 2026 baseline to 23.92% in October 2026. The next step is moving from third or second position to first.

The evidence points to a specific mechanism. Found's rank-one rate is 3.53% while its top-three rate is 23.92%, meaning roughly one in seven of Found's top-three placements converts to a first-position recommendation. WeightWatchers converts 19.22% rank-one against 40.78% top-three, roughly one in two. Noom converts 14.12% against 36.86%, roughly two in five. Found's conversion from top-three to rank-one is materially lower than the leaders.

The opportunity is to close that conversion gap on the platforms where Found already has top-three presence. Google AI Overviews is the strongest surface, with 19 top-three placements and 2 rank-one placements. Google AI Mode has 15 top-three placements and 3 rank-one placements. Copilot has 6 top-three placements and 1 rank-one placement. ChatGPT has 2 top-three placements and zero rank-one placements. The prompt, page, and citation layers that determine first-position selection on these surfaces are where the next gain sits.

Competitive Landscape

Questions This Section Answers

• How does Found's top-three and rank-one performance compare to WeightWatchers, Noom, and Ro?
• Where does Found rank in average recommended rank, and who leads the category?

WeightWatchers holds the strongest recommendation-stage position in the category, followed by Noom and Ro in a near tie, with Found as the strongest challenger below that tier. Found sits fourth on top-three rate and fourth on rank-one rate, with the highest net sentiment in the tracked set.

Average recommended rank covers rank-eligible recommendations only.

Found's position in the table shows a brand with meaningful top-three presence but a rank-one rate that is roughly one-sixth of WeightWatchers and roughly one-quarter of Noom. Its average recommended rank of 2.9778 is the fourth-best in the category, behind WeightWatchers, Noom, and Ro, and ahead of Hims. Its sentiment score of 0.9327 is the highest in the table.

Prompt Evidence

Questions This Section Answers

• Which brand takes the first recommendation slot when Found appears in the top three across key prompts?
• How does Found's first-position performance differ between Google AI Overviews, ChatGPT, Copilot, and Google AI Mode?

Google AI Overviews / Brand Recommendation Prompt: "What are the best programs to lose weight?" Result: Found appeared in the recommendation set with positive framing, contributing to its 46.05% valid recommendation coverage on this surface, but it was not the first brand named.

ChatGPT / Brand Recommendation Prompt: "What is the best medical treatment for weight loss?" Result: Found was mentioned in 4 of 12 ChatGPT observations and recorded 2 top-three placements, but zero rank-one placements, reflecting the brand's weak first-position conversion on this platform.

Copilot / Brand Recommendation Prompt: "What is the best online weight loss prescription program?" Result: Found recorded 6 top-three placements across 33 Copilot observations, with a rank-one rate of 3.03%, showing shortlist inclusion without top-slot strength.

Google AI Mode / Brand Recommendation Prompt: "Which is the most successful weight loss program?" Result: Found reached 39.34% valid recommendation coverage on Google AI Mode with 15 top-three placements and 3 rank-one placements, one of its stronger first-position surfaces.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit. Map the specific prompts where Found appears in top-three positions but not first, and identify which competitor takes the top slot in each case.

Phase 2: Recommendation Readiness Plan. Prioritize the platforms and prompt types where Found's top-three-to-rank-one conversion gap is widest, starting with ChatGPT and Copilot.

Phase 3: Owned Answer Layer Buildout. Strengthen the pages and content assets that AI systems retrieve when forming first-position recommendations for weight loss and metabolic health queries.

Phase 4: Citation and Authority Layer Development. Expand Found's presence in the health, medical reference, and comparison sources that AI systems cite when ranking brands, building on the source footprint that already includes ro.co and hims.com in the top cited domains.

Phase 5: Monthly AI Visibility and Recommendation Tracking. Track Found's rank-one rate against WeightWatchers, Noom, and Ro month over month to confirm whether shortlist inclusion is converting to first-position recommendations.

Why This Matters

AI-generated recommendations are forming buyer shortlists before a buyer ever visits a brand's website. Found's October 2026 position shows a brand that has earned a place on those shortlists but is not yet the default first answer. That distinction carries commercial weight: a brand named third in an AI recommendation is in the consideration set, while a brand named first is the starting point for the buyer's evaluation.

Presence alone is not enough. Found's 40.78% raw mention presence and 38.0% valid recommendation coverage show the brand is visible, but its 3.53% rank-one rate shows it is rarely the first recommendation. The next move is targeted correction of the prompt, page, and citation layers that determine first-position selection, not broader visibility investment.

Core Metrics

Sentiment Score

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

For Found in October 2026: (97 × 1 + 7 × 0 + 0 × -1) / 104 = 0.9327.

This matters because unclassified mention counts are misleading. A brand with 104 mentions could look strong on a raw visibility dashboard, but the composition of those mentions determines whether the brand is being recommended, referenced neutrally, or flagged with caution. Found's 104 mentions break down into 97 positive and 7 neutral, with zero negative, which is why its sentiment score is the highest in the category.

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 in commercial terms. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because the difference between being named as a top option and being named as a passing reference is the difference between being on the shortlist and being outside it.

Sentiment by Platform

Questions This Section Answers

• Which platforms show the strongest sentiment around Found, and where does the sample size limit confidence?
• Does a high sentiment score on a given platform translate into top-slot recommendation placement?

Methodology

1. Report orientation: This is a benchmark-based AI Company Market Strategy Report for Found, derived from the LLM Authority Index AI Market Discovery Index for Weight Loss and Metabolic Health, October 2026. It is not a client implementation case study.
2. Reporting window: October 2026, with comparison points at July 2026, August 2026, and September 2026.
3. Platforms tracked: Six canonical AI surface families: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. Observation count: 255 qualified benchmark observations in October 2026, drawn from 800 source prompt-surface observations.
5. Competitor universe: Nine tracked brands: Found, WeightWatchers, Noom, Ro, Hims, LifeMD, GNC, Vitamin Shoppe, and Herbalife.
6. Public clusters used: One qualified cluster, Best Weight Loss Programs & Medications (C01, consideration stage). The Weight Loss Program & Medication Comparisons (C02) and Weight Loss Program & Medication Pricing (C03) clusters produced no qualified observations in October 2026.
7. Stage 0 role: The qualification funnel reduces 800 source prompt-surface observations to 255 qualified benchmark observations through relevance and qualification steps. Brand-level percentages use the qualified set as the public denominator.
8. Definition of a mention: A qualified observation in which the brand is named at all, whether or not it is recommended.
9. Definition of a valid recommendation: A qualified observation in which the brand appears in a valid recommendation shortlist, as marked by the benchmark.
10. Ranking interpretation: Top-three rate is the share of qualified observations in which the brand appears in the first three recommendation positions. Rank-one rate is the share in which the brand is the first recommendation. Average recommended rank covers rank-eligible recommendations only.
11. Data limitations: The qualified benchmark set of 255 observations is smaller than the raw collection of 800 prompts per month. The four-month series remains early in its tracking history, and the observation count has moved across the period (170 in July 2026, 190 in August 2026, 286 in September 2026, and 255 in October 2026), changing the comparison base. Movement identifies where attention is warranted; it does not by itself establish the cause of those changes.
12. Taxonomy note: The entity tracked as "Ro (Roman)" in July and August 2026 no longer appears under that name from September 2026 onward, while an entity named "Ro" appears for the first time in September 2026. The benchmark tracks these as separate line items, and readers should treat the naming change as a discontinuity rather than continuous single-entity movement.

See How AI Is Recommending Your Brand

The public benchmark shows where Found stands in AI-generated recommendations across the category. A company-level AI visibility audit maps the specific prompts where Found wins, the competitors that take the recommendation when Found is absent, and the source patterns behind each response. It identifies the gap between where Found sits in AI recommendations today and where it could sit, based on the full evidence trail behind each answer.