Rocky Mountain Oils Appears in 63.6% 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

  • Rocky Mountain Oils is mentioned and recommended in about six out of ten benchmark answers, but it appears in the top three less often and is first choice only rarely.
  • The article treats the issue as a positioning problem rather than a reach problem, since awareness is strong but top-slot visibility is limited.
  • No conflicting claims were recorded in the captured answers, so the first step is to confirm company facts against primary sources before making edits.
  • Priority work centers on the brand-comparison page, homepage, and quality-related pages, plus buyer questions about the best and highest-quality essential oil brand.

Answer Capsule

In November 2026, Rocky Mountain Oils appeared in 267 of 420 AI answers included in the Essential Oil benchmark (63.57%). It received 255 recommendations (60.71%), with 194 Top 3 placements and 10 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 Rocky Mountain Oils mentions, recommendations and placements compare with its Essential Oil peers?

Rocky Mountain Oils recorded 267 mentions (63.57%) and 255 recommendations (60.71%) across 420 answers included in the benchmark. Top 3 placements numbered 194; first-place recommendations numbered 10. Framing among its mentions was 260 positive, 7 neutral and 0 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%

Rocky Mountain Oils is mentioned and recommended in roughly six of every ten answers, which puts it in the leading group behind Plant Therapy and Edens Garden. The more telling gap is position: it appears in the top three in under half of answers and takes first place only rarely. Reach is strong; the top slot is not.

That pattern matters because buyers asking for a single best brand see a short answer, and Rocky Mountain Oils is usually not the name at the front. The agency would treat this as a positioning problem rather than an awareness problem, and would look at which questions and sources accompany first-place answers before proposing work.

What changed since last month

Questions This Section Answers

  • How did Rocky Mountain Oils counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

242 / 485 (49.90%)

256 / 506 (50.59%)

279 / 511 (54.60%)

247 / 477 (51.78%)

267 / 420 (63.57%)

Recommendations

223 / 485 (45.98%)

239 / 506 (47.23%)

252 / 511 (49.32%)

227 / 477 (47.59%)

255 / 420 (60.71%)

Top 3 recommendations

124 / 485 (25.57%)

156 / 506 (30.83%)

177 / 511 (34.64%)

183 / 477 (38.36%)

194 / 420 (46.19%)

#1 recommendations

3 / 485 (0.62%)

7 / 506 (1.38%)

1 / 511 (0.20%)

3 / 477 (0.63%)

10 / 420 (2.38%)

From October 2026 to November 2026, Rocky Mountain Oils' mention count rose from 247 to 267, while its recommendation count rose from 227 to 255. The recommendation rate was 47.59% and 60.71% respectively.

Across the monthly samples, mentions and recommendations moved upward, and top-three appearances rose steadily from the summer months. First-place appearances stayed low and uneven, with the latest month the strongest of the five. The latest sample also contained fewer answers than earlier months, so the rates are not directly comparable.

The observed movement is encouraging but does not show that any change in content or outreach produced it. The agency would keep the monthly scorecard running and read each month as its own sample, watching whether top-three strength begins to show up in first-place answers over time.

AI recommendation trend

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

0%20%40%60%80%Jul 2026Aug 2026Sep 2026Oct 2026Nov 202645.98%Jul 2026: 45.98%47.23%Aug 2026: 47.23%49.32%Sep 2026: 49.32%47.59%Oct 2026: 47.59%60.71%Nov 2026: 60.71%
  • Rocky Mountain Oils60.71%

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 Rocky Mountain Oils?

AI answers contained 0 conflicting claims about Rocky Mountain Oils: 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 Rocky Mountain Oils were recorded in the captured answers, so there is nothing to correct and no fact-check queue to work through. That is a clean starting position, but it is a statement about these answers, not a guarantee that every page and source is accurate.

The agency would still build a baseline scorecard and a short list of claims worth checking against primary sources, so that any future conflict is caught early and routed to the right owner rather than debated after it spreads.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Rocky Mountain Oils 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 Rocky Mountain Oils this month. The agency would not invent corrections to fill the gap. Instead it would confirm the company identity and product facts against current primary sources before any page brief is written.

Where a future conflict appears, the first step is to establish the entity, the date and the source behind each version. Only then does a correction decision make sense, and only verified facts would go into a brief.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Rocky Mountain Oils?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://edensgarden.com/collections/single-oils

79

74

0

https://organicaromas.com/blogs/aromatherapy-and-essential-oils/what-are-the-top-5-best-essential-oil-brands/

54

50

0

https://consumersadvocate.org/essential-oils

36

30

0

https://planttherapy.com/collections/essential-oils

34

26

0

https://pureoilsindia.com/blog/top-20-essential-oil-brands-in-the-usa

29

26

0

https://reddit.com/r/essentialoils/comments/uwfw3b/recommended_brand_fo_pure_essential_oils/

27

24

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 most associated with Rocky Mountain Oils in the answers are competitor collections, third-party brand roundups and a community thread. None carries a conflicting claim about the company, so there is no correction case here. Citation does not show that a page shaped the answer.

The agency would review the most relevant of these pages for accuracy and freshness, then prepare evidence-backed requests only where a genuine gap or error is confirmed. Publishers decide their own content, so requests are framed as information, not demands.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Rocky Mountain Oils 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://rockymountainoils.com/blogs/essential-oil-basics/best-essential-oil-brands-your-guide-to-quality-and-purity

34

31

29

https://rockymountainoils.com/

26

23

23

https://rockymountainoils.com/pages/done-with-mlms

10

6

6

https://rockymountainoils.com/pages/compare

6

2

2

https://rockymountainoils.com/pages/quality

6

4

4

https://rockymountainoils.com/products/organic-essential-oil-9-pack

6

6

6

https://rockymountainoils.com/pages/get-gcms-test-results

4

3

3

https://rockymountainoils.com/pages/we-promise

4

3

3

The company's website was cited 142 times across 43 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's own site is cited widely, and the brand-comparison article and homepage account for most of that attention. Those two pages are the natural starting point for page briefs, with the comparison and quality pages close behind. A cited page is not automatically a page that drove a recommendation.

The agency would draft briefs that use only approved facts, answer the questions buyers actually ask, and make quality and testing evidence easy to find. Each brief would name a reviewer and require sign-off before publication.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Rocky Mountain Oils?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What brand is the best essential oil?

6

6

6

What brand of essential oils is the best?

6

6

6

What is the best brand of essential oil?

6

6

6

What is the highest quality essential oil brand?

6

6

6

What is the best brand of essential oils?

6

6

5

What are the top 5 best essential oil brands?

5

5

5

What are the top essential oil brands?

5

5

5

What brand is the best for essential oils?

5

5

5

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

The recorded questions are variations on a single theme: which essential oil brand is best, and which is highest quality. Rocky Mountain Oils appears in nearly all of these answers and is recommended in most of them, so the brand is already in the conversation. These are answer observations, not search volume.

The agency would check whether existing pages already answer these questions well before proposing anything new, then brief content around brand choice and quality proof where coverage is thin.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Rocky Mountain Oils 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 a review status. The second month turns approved facts into page briefs and prepares justified publisher requests, recording confirmed edits, no-change decisions and responses separately.

The third month adds buyer-question content briefs and a fresh scorecard. Completed work is reported apart from measured answer outcomes, and no visibility gain is promised, since the samples and outside publishers are not under the agency's control.

Methodology

Questions This Section Answers

  • How are Rocky Mountain Oils 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 answers were captured for the reporting month, but exact collection dates are unverified, and the monthly samples differ in size, so month-to-month comparisons show what was recorded, not why it changed. A company counts as recommended only when an answer endorses it with positive wording, and top-three and first-place appearances sit inside those recommendations rather than adding to them.

One answer can mention several companies, so counts cannot be summed into distinct answers. Cited pages and any disputed claims still need independent verification.

Our first three priorities

First, protect the clean claim record by confirming company and product facts against primary sources and keeping a short, owned fact-review list ready. Second, concentrate page work on the brand-comparison article and homepage, where citations cluster, with briefs built on approved facts and buyer questions.

Third, review the competitor and third-party pages that appear alongside the brand, and prepare evidence-backed requests only where a real gap is confirmed. Throughout, the monthly scorecard should track top-three strength and first-place appearances separately, without treating either as a guaranteed outcome of the 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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