doTERRA Appears in 65.2% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • doTERRA is mentioned in 65.2% of benchmark answers, but recommendations are much lower at 22.6%.
  • The main gaps involve disputed claims about a lawsuit outcome and Walmart availability that need primary-source verification.
  • doTERRA’s own website is cited often, yet only a small share of those citations appear in answers that recommend the brand.
  • Buyer questions center on which essential oil brand is best, making comparison content a useful way to earn stronger endorsements.

Answer Capsule

In November 2026, doTERRA appeared in 274 of 420 AI answers included in the Essential Oil benchmark (65.24%). It received 95 recommendations (22.62%), with 46 Top 3 placements and 7 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 doTERRA mentions, recommendations and placements compare with its Essential Oil peers?

doTERRA recorded 274 mentions (65.24%) and 95 recommendations (22.62%) across 420 answers included in the benchmark. Top 3 placements numbered 46; first-place recommendations numbered 7. Framing among its mentions was 100 positive, 132 neutral and 42 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Plant Therapy

388

92.38%

366

87.14%

364

86.67%

312

74.29%

2

Edens Garden

290

69.05%

276

65.71%

234

55.71%

11

2.62%

3

Rocky Mountain Oils

267

63.57%

255

60.71%

194

46.19%

10

2.38%

4

Aura Cacia

202

48.10%

177

42.14%

34

8.10%

2

0.48%

5

NOW Foods

170

40.48%

144

34.29%

37

8.81%

6

1.43%

6

doTERRA

274

65.24%

95

22.62%

46

10.95%

7

1.67%

7

Young Living

230

54.76%

57

13.57%

22

5.24%

11

2.62%

8

Vitruvi

44

10.48%

39

9.29%

21

5.00%

12

2.86%

9

Revive Essential Oils

20

4.76%

18

4.29%

6

1.43%

2

0.48%

10

Public Goods

1

0.24%

1

0.24%

0

0.00%

0

0.00%

doTERRA is named in most answers but is recommended in far fewer, so its reach outruns its endorsement. The gap between being mentioned and being put forward as a choice is where commercial influence is won or lost. The agency would treat reach and recommendation as separate goals rather than assuming one follows the other.

Placement is a third, narrower measure. doTERRA appears near the top of answers much less often than it is recommended, and first-place finishes are rarer still. Buyers scanning a short list may see the brand without seeing it championed. Proposed work would focus on earning affirmative endorsements, not just more appearances.

Wording around doTERRA is mixed, with a large neutral share and a meaningful negative share. Neutral mentions are an opening: they show the brand is present but not yet argued for. The agency would examine what those answers say about doTERRA and where positive framing could be earned through better-supported content.

What changed since last month

Questions This Section Answers

  • How did doTERRA counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

329 / 485 (67.84%)

328 / 506 (64.82%)

294 / 511 (57.53%)

237 / 477 (49.69%)

274 / 420 (65.24%)

Recommendations

149 / 485 (30.72%)

124 / 506 (24.51%)

121 / 511 (23.68%)

75 / 477 (15.72%)

95 / 420 (22.62%)

Top 3 recommendations

62 / 485 (12.78%)

62 / 506 (12.25%)

46 / 511 (9.00%)

40 / 477 (8.39%)

46 / 420 (10.95%)

#1 recommendations

17 / 485 (3.51%)

20 / 506 (3.95%)

17 / 511 (3.33%)

11 / 477 (2.31%)

7 / 420 (1.67%)

From October 2026 to November 2026, doTERRA's mention count rose from 237 to 274, while its recommendation count rose from 75 to 95. The recommendation rate was 15.72% and 22.62% respectively.

Across the monthly samples, doTERRA's mention and recommendation counts moved up in the latest month after a weaker prior month. The recommendation rate also recovered. These are separate selected samples, so the movement describes what was recorded, not a trend the agency can attribute to any cause.

The longer record shows recommendation counts and first-place finishes generally lower than in the earliest months shown. Because each month draws a different set of answers, the agency would not read the sequence as a verdict on past work. Proposed work would set a fresh baseline and track future months against it with the comparability limit stated plainly.

AI recommendation trend

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

0%10%20%30%40%Jul 2026Aug 2026Sep 2026Oct 2026Nov 202630.72%Jul 2026: 30.72%24.51%Aug 2026: 24.51%23.68%Sep 2026: 23.68%15.72%Oct 2026: 15.72%22.62%Nov 2026: 22.62%
  • doTERRA22.62%

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 doTERRA?

AI answers contained 6 conflicting claims about doTERRA: 0 critical, 6 high, 0 medium, 0 low. Of these, 6 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.

The benchmark surfaced several conflicting claims about doTERRA, all rated high priority for checking. A conflict means answers disagree, not that the company or a publisher got something wrong. The agency would build a visibility comparison alongside a scoped fact-review list so the client can see which disagreements matter most and who should verify each one.

Each disputed claim would get an owner, a primary-source requirement and a review status before anyone drafts a correction. This keeps effort directed at claims that could affect buyer perception, while leaving ambiguous items out of the queue until the facts are confirmed.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about doTERRA should be verified before proposed page edits?

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

lawsuit outcome/status

high

case ongoing/active dispute (no dismissal mentioned)

case voluntarily dismissed without prejudice in 2019

lawsuit outcome/status

high

case ongoing/active dispute (no dismissal mentioned)

case voluntarily dismissed without prejudice in 2019

authorized/legitimate availability on Walmart

high

Sold on Walmart Marketplace by third-party sellers; not stocked directly by Walmart or in physical stores

Not officially sold at Walmart; listings are unauthorized third-party sellers, not authorized by doTERRA

authorized/legitimate availability on Walmart

high

Not officially sold at Walmart; listings are unauthorized third-party sellers, not authorized by doTERRA

Yes, sold on Walmart (Walmart.com listings), though policy restricts unauthorized online sales

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.

The disputed topics cluster around a lawsuit's outcome and whether doTERRA products are legitimately available through Walmart. In both cases the recorded answers contradict each other, and the columns quote AI answers rather than verified facts. Dates and entity details may explain an apparent conflict, so the agency would verify before treating anything as an error.

Proposed work is a set of conditional page briefs: each brief states the approved fact, the source that supports it and the buyer question it answers. Briefs would only be drafted once verification is complete, and any correction request would rest on current primary-source evidence rather than on the AI claims themselves.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for doTERRA?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://pacermonitor.com/public/case/27814859/doTerra_Holdings_et_al_v_Revive_Essential

5

0

3

https://courtlistener.com/docket/15019750/idb/doterra-holdings-v-revive-essential/

1

0

3

https://unicourt.com/case/pc-db5-doterra-holdings-et-al-v-revive-essential-87190

1

0

3

https://dockets.justia.com/docket/utah/utdce/2:2019cv00250/114525

6

0

3

https://lawsips.com/revive-essential-oils-lawsuit/

4

0

3

https://aromaeasy.com/difference-between-buying-essential-oils-at-walmart-and-doterra/

1

0

2

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.

Several court-record and commentary pages were cited in answers that carried the disputed lawsuit claims, and a Walmart-related page was linked to the availability conflict. Citation does not show that a page influenced an answer, and a linked page is not necessarily the cause of a conflict. The agency would review the current contents of these pages before deciding whether any request is justified.

Where a page is accurate and current, the appropriate outcome may be no change at all. Where a genuine gap exists, the agency would prepare an evidence-backed request and record the response separately from confirmed edits. Publisher control is never assumed.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed doTERRA 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://doterra.com/US/en

11

10

2

https://doterra.com/US/en/the-cptg-standard

6

2

1

https://doterra.com/US/en/top-oils-of-the-year

6

5

3

https://doterra.com/cptg-testing-process

6

2

2

https://media.doterra.com/eu/en/flyers/letter-diamonds-revive.pdf?j=2252623

3

0

0

https://doterra.com/

2

2

2

https://doterra.com/CA/en/why-doterra

2

0

0

https://doterra.com/US/en/blog/science-of-deep-blue

2

0

0

The company's website was cited 125 times across 89 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.

doTERRA's own site is cited widely, but only a small share of those citations sit inside answers that recommend the brand. That pattern suggests the site is used as a reference more than as a reason to choose doTERRA. The agency would brief priority pages around approved facts and the questions buyers actually ask, starting with the pages already drawing citations.

Briefs would specify the audience question, the approved evidence and the desired takeaway, and would check existing coverage before proposing anything new. A cited page is not automatically a page that drove a recommendation, so the work targets clarity and support rather than chasing citation counts.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for doTERRA?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What are the top 5 best essential oil brands?

5

4

4

What is the best company to buy essential oils from?

6

4

3

Which brand is best for pure essential oils?

6

4

3

What are the top essential oil brands?

5

5

2

What company produces the best essential oils?

6

5

2

What is the best brand of essential oils?

6

5

2

What is the best essential oil brand?

5

5

2

Which brand is best for essential oils?

5

5

2

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

The recorded questions are almost all variations on which brand is best or where to buy. doTERRA is mentioned in most of these answers but recommended in fewer, and in some the gap is wide. That makes buyer-question content a natural place to earn endorsements rather than mere appearances.

Proposed briefs would answer the comparison questions directly, using approved facts and clear reasons to choose doTERRA. Existing pages would be checked first so the agency adds substance rather than duplicate pages. These observations reflect recorded answers, not verified search demand.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed doTERRA 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 register and a shortlist of pages and sources, each with an owner and evidence requirement. The second month turns verified facts into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses recorded separately.

The third month produces buyer-content briefs and a fresh scorecard. Completed work is reported separately from measured answer outcomes, and no intervention success is claimed. The plan sequences verification before drafting so that content and requests rest on confirmed facts.

Methodology

Questions This Section Answers

  • How are doTERRA 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 420 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 5185 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

Jul 2026

485

6

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

Aug 2026

506

6

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

Sep 2026

511

6

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

Oct 2026

477

6

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

Nov 2026

420

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 report covers a single month, and the exact collection dates for the original answers are unverified. Rates rest on answers that met the benchmark's inclusion rules, and a recommendation requires both an endorsement and positive wording. Placement counts sit inside recommendations rather than adding to them.

Answers can mention several companies, so counts cannot be summed into distinct answers. Sentiment describes answer wording, not customer satisfaction. Monthly samples differ, so comparisons show how recorded results changed, not why. Cited pages and disputed claims still need independent verification.

Our first three priorities

First, verify the lawsuit and Walmart claims against current primary sources and resolve entity and date details before any correction is considered. Ambiguous items stay out of the queue. This protects the client from acting on AI disagreement that may reflect timing rather than error.

Second, prepare page briefs for the company pages already drawing citations, tying each to approved facts and a clear buyer takeaway. Third, draft buyer-question content that gives direct reasons to choose doTERRA in best-brand comparisons. A fresh scorecard would follow, reported separately from completed work.

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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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