100% PURE Appears in 27.9% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • 100% PURE is mentioned often, but it is recommended less consistently than the category leaders.
  • The brand’s mentions are mostly positive or neutral, so the main issue is selection rather than tone.
  • Priority work centers on verified facts, high-citation website pages, and a small set of relevant third-party sources.
  • Buyer questions cluster around natural, non-toxic, vegan, and cruelty-free skincare, creating clear content opportunities.

Answer Capsule

In November 2026, 100% PURE appeared in 155 of 556 AI answers included in the Natural Skincare Brand benchmark (27.88%). It received 104 recommendations (18.71%), with 47 Top 3 placements and 20 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

  • How do 100% PURE mentions, recommendations and placements compare with its Natural Skincare Brand peers?

100% PURE recorded 155 mentions (27.88%) and 104 recommendations (18.71%) across 556 answers included in the benchmark. Top 3 placements numbered 47; first-place recommendations numbered 20. Framing among its mentions was 105 positive, 50 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

OSEA

373

67.09%

357

64.21%

273

49.10%

100

17.99%

2

True Botanicals

317

57.01%

311

55.94%

224

40.29%

69

12.41%

3

Tata Harper

206

37.05%

189

33.99%

112

20.14%

45

8.09%

4

Ursa Major

142

25.54%

133

23.92%

73

13.13%

30

5.40%

5

Youth To The People

129

23.20%

117

21.04%

73

13.13%

26

4.68%

6

Herbivore Botanicals

114

20.50%

111

19.96%

47

8.45%

10

1.80%

7

KORA Organics

115

20.68%

109

19.60%

62

11.15%

12

2.16%

8

100% PURE

155

27.88%

104

18.71%

47

8.45%

20

3.60%

9

Acure

106

19.06%

103

18.53%

42

7.55%

9

1.62%

10

Pacifica Beauty

92

16.55%

87

15.65%

44

7.91%

21

3.78%

100% PURE appears in a meaningful share of answers and is recommended in most of those appearances, which places it in the middle of this competitive set rather than at the front. The gap to the leaders is widest on recommendations and top placements, so the brand is seen but not consistently chosen.

The framing of its mentions is almost entirely positive or neutral, with no negative wording recorded. That is a useful base: the constraint is not how the brand is described when it appears, but how often answers put it forward as a pick. Proposed work should focus on earning more affirmative endorsements rather than repairing tone.

What changed since last month

Questions This Section Answers

  • How did 100% PURE counts and coverage differ across the available monthly snapshots?

Metric

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

82 / 560 (14.64%)

90 / 562 (16.01%)

107 / 513 (20.86%)

155 / 556 (27.88%)

Recommendations

64 / 560 (11.43%)

68 / 562 (12.10%)

96 / 513 (18.71%)

104 / 556 (18.71%)

Top 3 recommendations

26 / 560 (4.64%)

23 / 562 (4.09%)

49 / 513 (9.55%)

47 / 556 (8.45%)

#1 recommendations

11 / 560 (1.96%)

7 / 562 (1.25%)

16 / 513 (3.12%)

20 / 556 (3.60%)

From October 2026 to November 2026, 100% PURE's mention count rose from 107 to 155, while its recommendation count rose from 96 to 104. The recommendation rate was 18.71% and 18.71% respectively.

The monthly record shows a steady rise in mentions across the four selected samples, with the recommendation count also climbing. The recommendation rate held at the same level between the two most recent months even as mentions grew, so added presence did not translate into a proportionally larger share of endorsements.

These are separate samples with different answer totals, and the comparison describes movement only. It does not establish why counts or rates changed. The practical read is that visibility is improving faster than selection, which is where proposed work should concentrate.

AI recommendation trend

Observed recommendation rate (%), Aug 2026 to Nov 2026

0%5%10%15%20%Aug 2026Sep 2026Oct 2026Nov 202611.43%Aug 2026: 11.43%12.10%Sep 2026: 12.10%18.71%Oct 2026: 18.71%18.71%Nov 2026: 18.71%
  • 100% PURE18.71%

Separate selected monthly samples. Missing points are unavailable, not zero. Provider/prompt equivalence is unverified; rate movement does not demonstrate causation.

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Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for 100% PURE?

AI answers contained 0 conflicting claims about 100% PURE: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No conflicting claims about 100% PURE were recorded in the captured answers, so there is no immediate fact-check queue to work through. That is a clean starting position, but it is not proof that every statement about the brand is accurate or current.

A visibility comparison against the leading brands would show where the brand is losing selection despite appearing often. A scoped list of claims worth verifying would give the client a defensible basis for deciding what, if anything, needs attention before page work begins.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about 100% PURE should be verified before proposed page edits?

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

This part of the analysis returned no results, so there are no disputed topics to resolve for 100% PURE at this stage. The absence of findings should be treated as an open item rather than a clean bill of health.

Proposed work is to confirm the brand entity, dates and sources behind any future claim before drafting page briefs. Where an apparent conflict appears, different dates or product lines may explain it. Page briefs should be written only after that check, and only from approved facts.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for 100% PURE?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://primallypure.com/

6

3

0

https://gosupps.com/good-molecules-pure-cold-pressed-rosehip-seed-oil-13ml-0-44oz-moisturizing-anti-aging-antioxidant-rich-face-oil-to-plump-balance-hydrate-sustainably-grown-fragrance-free-vegan.html

3

3

0

https://clicks.co.za/pure_everyday-shampoo-250ml/p/222361

1

1

0

https://cloud10beauty.com/collections/pureology

1

1

0

https://finance.yahoo.com/media-advertising/articles/100-pure-named-no-1-143500617.html

1

1

0

https://fortune.com/press-releases/100-pure-newsweek-2026-readers-choice-awards-clean-beauty-2026-10-20/

1

1

0

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

The cited pages selected for review include unrelated brands and retailers alongside two press items about 100% PURE. Several of these pages were captured in answers that mention the company, but a citation does not show that the page shaped the answer, and none carries a linked conflicting claim.

Proposed work is a targeted review of the pages that genuinely concern the brand, starting with the press coverage, to confirm current contents. Outreach should be framed as evidence-backed requests, with no assumption that a publisher controls or has erred in what it published.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed 100% PURE website pages should receive review briefs?

Company website page

Citation appearances in all captured answers

Benchmark answers citing the page

Recommending answers citing the page

https://100percentpure.com/collections/cleansers

7

7

4

https://100percentpure.com/collections/skin-care

7

7

7

https://100percentpure.com/

3

3

3

https://100percentpure.com/blogs/feed/your-guide-to-face-oils

3

3

0

https://100percentpure.com/collections/moisturizers

3

3

1

https://100percentpure.com/collections/eye-care

2

2

2

https://100percentpure.com/collections/skincare-category

1

0

0

https://100percentpure.com/products/burdock-and-neem-healthy-scalp-shampoo?_gsid=b9WN9955z1fr&variant=43183915073614

1

0

0

The company's website was cited 27 times across 8 distinct page addresses; the table shows 8 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

The company site was cited across a small set of collection and blog pages, with the skin care and cleansers collections appearing most often. Some cited pages sit inside answers that recommend the brand, while others, including the face oils guide, do not.

Proposed page briefs should use approved facts and the questions buyers actually ask, and should check existing coverage before proposing anything new. The briefs are a drafting exercise, not a finding that current pages are wrong or incomplete.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for 100% PURE?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

Which skincare brand has no chemicals?

3

3

3

What skin care brands are non-toxic?

5

3

2

What is the most natural skincare brand?

3

2

2

Which brands are truly cruelty-free?

3

2

2

Which face wash is 100% natural?

2

2

2

Which skincare brands are natural?

5

2

2

Which skin care brands are vegan?

3

2

1

Which skincare brand is most natural?

5

2

1

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

The recorded questions cluster around natural, non-toxic, vegan and cruelty-free positioning, and 100% PURE appears in answers to most of them. It is recommended in some of those answers but not all, with the vegan and most-natural questions showing the widest gap between mention and recommendation.

These are answer observations, not search volume or proof of missing content. Proposed buyer-question content should address the specific claims behind each question, with existing pages checked first so new material adds something rather than duplicating it.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed 100% PURE work and judge completion?

Period

Deliverable

Completion criterion

Days 1–30

Baseline scorecard, scoped fact-review register and page/source shortlist

Each record has an owner, evidence requirement and review status

Days 31–60

Approved page briefs and justified publisher requests

Separate confirmed edits, no-change decisions, requests and responses

Days 61–90

Buyer-content briefs and a fresh scorecard

Record work completed separately from measured answer outcomes and comparability limits

The first month establishes the baseline scorecard, a scoped fact-review list and a shortlist of pages and sources, each with an owner and review status. The second month turns that into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions and responses recorded separately.

The third month produces buyer-content briefs and a fresh scorecard. Completed work will be reported apart from measured answer outcomes, and no visibility gain is promised. The plan sequences verification before drafting so that briefs rest on confirmed facts.

Methodology

Questions This Section Answers

  • How are 100% PURE answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 556 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 800 captured answers and 5299 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

Reporting month

Answers included

AI services covered

Services

Aug 2026

560

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Sep 2026

562

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Oct 2026

513

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Nov 2026

556

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The monthly samples differ in size and in the answers included, so comparisons show how recorded results moved, not why. Recommendation requires both an endorsement and positive wording, and top placements sit within recommendations rather than adding to them.

Answers can mention several companies, so company counts do not sum to distinct answers. Citation appearances describe where answers pointed, not source influence, and the current contents of cited pages still need independent checking.

Our first three priorities

First, confirm the brand entity and the facts behind the press coverage and the most-cited collection pages before any brief is written, since the consistency review returned nothing to work from. Second, draft page briefs for the skin care and cleansers collections using approved facts and the natural, vegan and cruelty-free questions buyers ask.

Third, prepare buyer-question content that closes the gap between being mentioned and being recommended, checking existing pages first. Each step is proposed work with a verification dependency, and none guarantees a change in measured visibility.

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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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