Illustrative study on a real brand, prepared without its involvement. Its name and every detail that could identify it are withheld.

Sample Category Study · Sleep supplements

A sleep supplement brand, named in 5% of one leading AI assistant’s answers

400 simulated buyer conversations with two leading AI assistants, on questions that name no brand. Nature Made, the brand named most, led it for every buyer type, and neither assistant named the brand for a buyer shopping for a child.

Supracited AI engine

Each seat is one simulated conversation, inner rows with Claude, the outer row with ChatGPT.

Compare with
Assistant

Nature Made leads the brand most for someone 65 and over on a tight budget: 20% against 5%.

Nature Made leads the brand most for someone 45 to 64 comparing carefully: 15% against 0%.

Thorne leads the brand most for someone 45 to 64 comparing carefully: 17% against 5%.

Thorne in 0% of conversations, the brand in 0%. Neither was named for any buyer.

Pure Encapsulations leads the brand most for someone 45 to 64 comparing carefully: 15% against 5%.

Pure Encapsulations in 0% of conversations, the brand in 0%. Neither was named for any buyer.

Doctor’s Best leads the brand most for someone 65 and over on a tight budget: 10% against 5%.

Doctor’s Best in 0% of conversations, the brand in 0%. Neither was named for any buyer.

ZzzQuil leads the brand most for someone 45 to 64 buying for an older parent: 12% against 7%.

ZzzQuil in 0% of conversations, the brand in 0%. Neither was named for any buyer.

Conversations with Claude naming the brand and Nature Made, by buyer
BuyerThe brandNature MadeBoth
18 to 29, in a hurry7%15%3 of 60
65 and over, tight budget5%20%3 of 60
45 to 64, comparing carefully5%17%3 of 60
30 to 44, buying for a child0%2%0 of 60
45 to 64, for an older parent7%18%2 of 60
All five buyers5%14%11 of 300
Conversations with ChatGPT naming the brand and Nature Made, by buyer
BuyerThe brandNature MadeBoth
18 to 29, in a hurry0%10%0 of 20
65 and over, tight budget0%5%0 of 20
45 to 64, comparing carefully0%15%0 of 20
30 to 44, buying for a child0%5%0 of 20
45 to 64, for an older parent0%10%0 of 20
All five buyers0%9%0 of 100
Conversations with Claude naming the brand and Thorne, by buyer
BuyerThe brandThorneBoth
18 to 29, in a hurry7%15%0 of 60
65 and over, tight budget5%3%0 of 60
45 to 64, comparing carefully5%17%1 of 60
30 to 44, buying for a child0%3%0 of 60
45 to 64, for an older parent7%18%2 of 60
All five buyers5%11%3 of 300
Conversations with ChatGPT naming the brand and Thorne, by buyer
BuyerThe brandThorneBoth
18 to 29, in a hurry0%0%0 of 20
65 and over, tight budget0%0%0 of 20
45 to 64, comparing carefully0%0%0 of 20
30 to 44, buying for a child0%0%0 of 20
45 to 64, for an older parent0%0%0 of 20
All five buyers0%0%0 of 100
Conversations with Claude naming the brand and Pure Encapsulations, by buyer
BuyerThe brandPure EncapsulationsBoth
18 to 29, in a hurry7%12%2 of 60
65 and over, tight budget5%7%0 of 60
45 to 64, comparing carefully5%15%3 of 60
30 to 44, buying for a child0%2%0 of 60
45 to 64, for an older parent7%13%2 of 60
All five buyers5%10%7 of 300
Conversations with ChatGPT naming the brand and Pure Encapsulations, by buyer
BuyerThe brandPure EncapsulationsBoth
18 to 29, in a hurry0%0%0 of 20
65 and over, tight budget0%0%0 of 20
45 to 64, comparing carefully0%0%0 of 20
30 to 44, buying for a child0%0%0 of 20
45 to 64, for an older parent0%0%0 of 20
All five buyers0%0%0 of 100
Conversations with Claude naming the brand and Doctor’s Best, by buyer
BuyerThe brandDoctor’s BestBoth
18 to 29, in a hurry7%3%0 of 60
65 and over, tight budget5%10%0 of 60
45 to 64, comparing carefully5%5%0 of 60
30 to 44, buying for a child0%2%0 of 60
45 to 64, for an older parent7%5%0 of 60
All five buyers5%5%0 of 300
Conversations with ChatGPT naming the brand and Doctor’s Best, by buyer
BuyerThe brandDoctor’s BestBoth
18 to 29, in a hurry0%0%0 of 20
65 and over, tight budget0%0%0 of 20
45 to 64, comparing carefully0%0%0 of 20
30 to 44, buying for a child0%0%0 of 20
45 to 64, for an older parent0%0%0 of 20
All five buyers0%0%0 of 100
Conversations with Claude naming the brand and ZzzQuil, by buyer
BuyerThe brandZzzQuilBoth
18 to 29, in a hurry7%2%0 of 60
65 and over, tight budget5%7%0 of 60
45 to 64, comparing carefully5%3%0 of 60
30 to 44, buying for a child0%2%0 of 60
45 to 64, for an older parent7%12%0 of 60
All five buyers5%5%0 of 300
Conversations with ChatGPT naming the brand and ZzzQuil, by buyer
BuyerThe brandZzzQuilBoth
18 to 29, in a hurry0%0%0 of 20
65 and over, tight budget0%0%0 of 20
45 to 64, comparing carefully0%0%0 of 20
30 to 44, buying for a child0%0%0 of 20
45 to 64, for an older parent0%0%0 of 20
All five buyers0%0%0 of 100
  • 0%

    The brand, with ChatGPT

    Never named it in its answers.

  • 27%

    Named one of the five rivals, with Claude

    Any of them, in any position.

  • 93%

    Of the brand’s mentions came beside a rival

    It almost never came up alone.

Who answered: Claude, 300 conversations, and ChatGPT, 100, counted on their own · United States · recorded 17 October 2026, Pacific · 0 failed · 6,000+ data points measured by the Supracited AI engine.

Every conversation, buyer by buyer

Supracited AI engine

Each dot is one simulated buyer conversation, collected by the Supracited AI engine: 60 with Claude, then 20 with ChatGPT, per buyer. Gold: the brand. Teal: the brand you compare with.
Compare with
Assistant
  1. 18 to 29, in a hurry7%0%15%10%15%0%12%0%3%0%2%0%
  2. 65 and over, tight budget5%0%20%5%3%0%7%0%10%0%7%0%
  3. 45 to 64, comparing carefully5%0%17%15%17%0%15%0%5%0%3%0%
  4. 30 to 44, buying for a child0%0%2%5%3%0%2%0%2%0%2%0%
  5. 45 to 64, for an older parent7%0%18%10%18%0%13%0%5%0%12%0%

The brand

5%

0%

Nature Made

14%

Nature Made

9%

Thorne

11%

Thorne

0%

Pure Encapsulations

10%

Pure Encapsulations

0%

Doctor’s Best

5%

Doctor’s Best

0%

ZzzQuil

5%

ZzzQuil

0%

Nature Made leads the brand most for someone 65 and over on a tight budget: 20% against 5%.

Nature Made leads the brand most for someone 45 to 64 comparing carefully: 15% against 0%.

Thorne leads the brand most for someone 45 to 64 comparing carefully: 17% against 5%.

Thorne in 0% of conversations, the brand in 0%. Neither was named for any buyer.

Pure Encapsulations leads the brand most for someone 45 to 64 comparing carefully: 15% against 5%.

Pure Encapsulations in 0% of conversations, the brand in 0%. Neither was named for any buyer.

Doctor’s Best leads the brand most for someone 65 and over on a tight budget: 10% against 5%.

Doctor’s Best in 0% of conversations, the brand in 0%. Neither was named for any buyer.

ZzzQuil leads the brand most for someone 45 to 64 buying for an older parent: 12% against 7%.

ZzzQuil in 0% of conversations, the brand in 0%. Neither was named for any buyer.

Each card shows the brands an answer named, in the order it named them. We quote only sentences we have checked as plain fact, such as what a brand is or where it is sold, and none of these answers has one.

Conversations naming the brand and each rival, by buyer and assistant
BuyerThe brand, ClaudeThe brand, ChatGPTNature Made, ClaudeNature Made, ChatGPTThorne, ClaudeThorne, ChatGPTPure Encapsulations, ClaudePure Encapsulations, ChatGPTDoctor’s Best, ClaudeDoctor’s Best, ChatGPTZzzQuil, ClaudeZzzQuil, ChatGPT
18 to 29, in a hurry7%0%15%10%15%0%12%0%3%0%2%0%
65 and over, tight budget5%0%20%5%3%0%7%0%10%0%7%0%
45 to 64, comparing carefully5%0%17%15%17%0%15%0%5%0%3%0%
30 to 44, buying for a child0%0%2%5%3%0%2%0%2%0%2%0%
45 to 64, for an older parent7%0%18%10%18%0%13%0%5%0%12%0%

Four fixes, graded by evidence

Each grade names the evidence behind the technique in general, not proof that it will move this brand’s count; the re-check is what tests that.

  1. Fix 1Controlled study

    Add label facts and named review quotes to your key pages

    First step: Pick the product page you most want recommended. Make sure its text, not only a label image, states each ingredient with its amount per serving, the form, the count and the price, as the label prints them, and add one quoted line from a named review about a label fact or about testing, publication credited, once your label reviewer has approved it. Add no wording about what the product does.

  2. Fix 2Large correlational study

    Refresh your key pages on a schedule

    First step: List the 20 pages that matter most (best sellers and comparison pages). Refresh 10 of them now with a substantive change (a price, a label fact that changed, a comparison of label facts, a new review quote your label reviewer approved) and leave the other 10 as they are, so the day-90 re-check can tell whether the refresh helped. Update the visible last-updated date only where the content changed.

  3. Fix 3Large correlational study (three separate studies converge)

    Get onto the buying guides the AI already cites

    First step: Open each guide page the private report lists and check whether it already covers the brand; where it does not, send its pitch to the author it names, or to the site’s contact page.

  4. Fix 4Confirmed mechanism (direct HTTP observation)

    Check whether AI crawlers visit your site at all

    First step: Get the last 30 days of web server access logs from your host (on a hosted store without raw logs, ask the host or use your CDN’s crawler report) and count the AI crawlers by name.

We measure and source. We do not write, edit or suggest any statement about what a product does; that stays as your label states it.

The rest of the study

The brands named most, the sources, and the sections a Category Study adds to the fix list. Each opens in place.

The brands named mosteach assistant on its own, with a range on each count

Each assistant on its own, never added together. Range: the Wilson interval on each count, an indicative range rather than a 95 percent guarantee. Bars run from 0 to 20%; the tick marks the share.

With Claude 300 conversations

  1. Nature Made14%range 11 to 19%
  2. Thorne11%range 8 to 15%
  3. Pure Encapsulations10%range 7 to 14%
  4. Doctor’s Best5%range 3 to 8%
  5. ZzzQuil5%range 3 to 8%
  6. The brand (this study)5%range 3 to 8%
  7. NOW Foods3%range 2 to 6%
  8. Natrol3%range 2 to 6%
  9. Olly2%range 1 to 5%
  10. Nature’s Bounty1%range 1 to 3%
  11. Walgreens1%range 1 to 3%

With ChatGPT 100 conversations

  1. Nature Made9%range 5 to 16%

Named in none of its 100: Thorne, Pure Encapsulations, Doctor’s Best, ZzzQuil, NOW Foods, Natrol, Olly, Nature’s Bounty, Walgreens and the brand (this study).

Exploratory: 30 buyer scenarios. An industry framework (IAB, August 2026) counts a program with fewer than 50 buyer scenarios as exploratory rather than directional; read these ranges as a guide, not a precise estimate. Known limits.

Sourcesthe 15 sites cited most, across both assistants

Of the 284 domains the 400 answers cited, 1,260 times in all, 40% carry at least one flag, covering 44% of the citations. Every flag is a reason for a human look, not a finding about the site.

Narrow screen: scroll the table sideways for more columns.

The 15 domains cited most, by answers citing each · retail stores left out
DomainAnswers citing it, both assistantsRegisteredPopularity rankFlag
nih.gov142199750No flag; one withdrawn on a human read
yahoo.com44199551No flag
sleepfoundation.org3319961,548No flag
smartersupplementreviews.com332025Not in top 1MFlagged registered 2025 or later
ubiehealth.com33202283,237No flag
healthline.com302004354No flag
healthychildren.org2520022,311No flag
bioabsorbnutraceuticals.com212020Not in top 1MFlagged off-topic homepage, low popularity
goodrx.com2020114,687No flag
gmtoday.com18199956,705No flag
takeroon.com172026Not in top 1MFlagged off-topic homepage, low popularity; registered 2025 or later
vitalspage.com172026Not in top 1MFlagged registered 2025 or later
harvard.edu161985115No flag
seniorcitizenwellbeing.com162022Not in top 1MFlagged off-topic homepage, low popularity
liveworksleep.com142025Not in top 1MFlagged registered 2025 or later

Popularity ranks: the Majestic Million (majestic.com), licensed under Creative Commons Attribution 3.0.

Content gap, outreach kit and page briefswhich rivals the cited buying guides name

How many of the buying guides the assistants cited most name each rival (9 guide pages read), and how often each assistant named it.

Narrow screen: scroll the table sideways for more columns.

Five rivals · guide pages read 2026-10-17
BrandGuide pages naming itWith Claude, of 300With ChatGPT, of 100
Nature Made3 of 914% (43 of 300)9% (9 of 100)
Thorne3 of 911% (34 of 300)0% (0 of 100)
Pure Encapsulations2 of 910% (29 of 300)0% (0 of 100)
Doctor’s Best0 of 95% (15 of 300)0% (0 of 100)
Natrol1 of 93% (10 of 300)0% (0 of 100)

The brand’s own row, the four pitches and the page briefs name the brand’s pages or the guides that cover it, so they stay in the private report. No pitch carries wording about what a product does.

We measure and source. We do not write, edit or suggest any statement about what a product does; that stays as your label states it.

90-day roadmapthe fixes in order, then the re-check

Every fix in the order to start it, who does it, and the evidence grade: 11 to 32 hours over the 90 days where the research gives hours, with the re-check on or after 15 January 2027.

Narrow screen: scroll the table sideways for more columns.

Report date 2026-10-17 · re-check on or after 2027-01-15
#ItemWhoEvidence grade
1Fix 3: get onto the buying guides the AI already cites (the four pitches in the private report)ClientLarge correlational study (three separate studies converge)
2Fix 1: add label facts and named review quotes to your key pages (through the page briefs in the private report)ClientControlled study
3Fix 2: refresh your key pages on a schedule (briefed pages can count toward the 10)ClientLarge correlational study
4Fix 4: check whether AI crawlers visit your site at allUs, guidedConfirmed mechanism (direct HTTP observation)
5Re-check at day 90Us, guidedMeasurement, not a technique

In a client’s study the re-check asks the same buyers and buyer scenarios of the same assistants again and marks each count moved, held or within noise. An assistant that changes version in the meantime is labelled “version changed”, never credited to the fixes.

Method notehow to read the counts, every range and the 30 buyer scenarios

Each conversation is one simulated buyer asking one buyer scenario of one assistant, and each answer is one draw, which is why every count carries a range. Both assistants were asked with web search on, and the two are never added together. Location was not tested: every conversation ran from the United States.

Narrow screen: scroll the table sideways for more columns.

The brand by simulated buyer and assistant, with the Wilson range on each count
Simulated buyerWith Claude, of 60 eachWith ChatGPT, of 20 each
18 to 29, in a hurry7%range 3 to 16%0%range 0 to 16%
65 and over, tight budget5%range 2 to 14%0%range 0 to 16%
45 to 64, comparing carefully5%range 2 to 14%0%range 0 to 16%
30 to 44, buying for a child0%range 0 to 6%0%range 0 to 16%
45 to 64, for an older parent7%range 3 to 16%0%range 0 to 16%
All buyers5%range 3 to 8%0%range 0 to 4%

The 30 buyer scenarios, as asked

Hover, focus or tap a scenario to read the question as asked.

This is the shape of a Category Study.

This sample ran 400 simulated buyer conversations with two assistants. A Category Study runs 2,400+, with the day-90 Re-check included; a Brand Study stops at the graded fix list.

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