Vitruvi Appears in 10.5% 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

  • Vitruvi is mentioned in 44 of 420 benchmark answers and recommended in 39, with most mentions carrying positive framing.
  • The main gap is reach: the brand performs well when considered, but it appears far less often than leading competitors.
  • Monthly results moved within a narrow range, with November showing a modest rise in mentions and recommendations versus October.
  • Priority work focuses on verifying claims, strengthening owned product pages, and building content around diffuser and purity questions.

Answer Capsule

In November 2026, Vitruvi appeared in 44 of 420 AI answers included in the Essential Oil benchmark (10.48%). It received 39 recommendations (9.29%), with 21 Top 3 placements and 12 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 Vitruvi mentions, recommendations and placements compare with its Essential Oil peers?

Vitruvi recorded 44 mentions (10.48%) and 39 recommendations (9.29%) across 420 answers included in the benchmark. Top 3 placements numbered 21; first-place recommendations numbered 12. Framing among its mentions was 39 positive, 5 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%

Vitruvi appears in roughly one in ten benchmark answers, and when it appears it is usually endorsed rather than merely named. That is a healthy hit rate for a smaller brand, but the absolute reach is far behind the leading brands, which show up in most answers. The practical gap is presence, not sentiment.

Placement is the more encouraging signal. A meaningful share of Vitruvi's recommendations land in the top three, and first-place finishes are not rare. The brand is competitive when it is considered; the work is getting considered more often. We would build a scorecard that tracks reach and placement separately so the client can see which lever moves.

What changed since last month

Questions This Section Answers

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

Metric

Jul 2026

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

51 / 485 (10.52%)

37 / 506 (7.31%)

40 / 511 (7.83%)

43 / 477 (9.01%)

44 / 420 (10.48%)

Recommendations

41 / 485 (8.45%)

27 / 506 (5.34%)

28 / 511 (5.48%)

36 / 477 (7.55%)

39 / 420 (9.29%)

Top 3 recommendations

15 / 485 (3.09%)

15 / 506 (2.96%)

13 / 511 (2.54%)

28 / 477 (5.87%)

21 / 420 (5.00%)

#1 recommendations

10 / 485 (2.06%)

8 / 506 (1.58%)

10 / 511 (1.96%)

17 / 477 (3.56%)

12 / 420 (2.86%)

From October 2026 to November 2026, Vitruvi's mention count rose from 43 to 44, while its recommendation count rose from 36 to 39. The recommendation rate was 7.55% and 9.29% respectively.

Across the recent months, Vitruvi's mention and recommendation counts have moved within a fairly narrow band, with the latest month showing a modest uptick in both. The recommendation rate also edged up. These are observed movements in separate monthly samples, not a trend we can attribute to any cause.

The samples differ month to month, so the rates are not strictly comparable and a change in totals does not explain a change in rate. We would present the monthly record as a sequence of snapshots and flag comparability limits beside any movement the client wants to act on.

AI recommendation trend

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

0%2.5%5%7.5%10%Jul 2026Aug 2026Sep 2026Oct 2026Nov 20268.45%Jul 2026: 8.45%5.34%Aug 2026: 5.34%5.48%Sep 2026: 5.48%7.55%Oct 2026: 7.55%9.29%Nov 2026: 9.29%
  • Vitruvi9.29%

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 Vitruvi?

AI answers contained 0 conflicting claims about Vitruvi: 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 Vitruvi surfaced in the captured answers, so there is nothing urgent to correct. That is a clean starting position, but it is not proof that every statement about the brand is accurate; it means the answers reviewed did not contradict each other.

A visibility comparison would show where Vitruvi gains and loses ground against the leading brands, while a short list of claims worth checking would confirm the facts the answers rely on. Together they let the client spend effort where it changes the picture rather than on low-stakes tidy-ups.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Vitruvi 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 work through for Vitruvi this month. We would not manufacture page changes without evidence. Instead, the proposed work is a light verification pass: confirm the entity, dates and sources behind any statement the client cares about before treating it as a conflict.

Where a genuine discrepancy appears, we would prepare a conditional page brief that waits on primary-source confirmation. Ambiguous matches stay out of the correction queue, and no page is rewritten on the strength of an AI answer alone.

Step 3. Align the external narrative

Questions This Section Answers

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

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://williams-sonoma.com/products/vitruvi-signature-essential-oils-kit/?catalogId=79&cm_cat=MSN&cm_pla=Home+Essentials+%3E+Candles%2C+Diffusers+%26+Room+Sprays&cm_ven=FreePLA&sku=6027212

3

3

0

https://liberia.ubuy.com/product/48CI4S6PK-vitruvi-citrus-essential-oil-kit-boost-lemon-grapefruit-bergamot-4x-10ml-0-3-fl-oz-bottles-4-count

2

2

0

https://amazon.com/Vitruvi-Essentials-Essential-Eucalyptus-Grapefruit/dp/B082X8HYMQ?psc=1&ref_=bing_fplfs&source=ps-sl-shoppingads-lpcontext

1

1

0

https://eonline.com/news/1284995/revitalize-your-home-with-diffusers-and-essential-oils-from-vitruvis-summer-sale

1

1

0

https://nordstrom.com/s/vitruvi-bergamot-essential-oil/4632557?page=2

1

1

0

https://wired.com/gallery/best-essential-oil-diffusers/

10

10

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 skew toward retailers and shopping listings, with a handful of editorial and review pieces. Citation counts are small, and none of the selected pages is linked to a conflicting claim. A citation tells us a page was referenced, not that it shaped the answer.

We would review the most-cited pages first, checking their current contents against approved facts before considering any request. Publisher requests would be evidence-backed and framed as corrections only where verification supports them. Where a page is accurate, the decision is simply to leave it and note the review.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Vitruvi 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://vitruvi.com/products/signature-essential-oil-kit?_gsid=qdJDp2ZZYTWB&variant=41444253991092

1

1

1

https://vitruvi.com/products/sleep-essential-oil-blend?_gsid=saV5SNdQnTg9&variant=42307498639540

1

1

1

The company's website was cited 2 times across 2 distinct page addresses; the table shows 2 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.

Only a couple of Vitruvi's own product pages were cited, each once, and both appeared in answers that recommended the brand. That is a thin footprint for owned content, which suggests room to make product pages easier for AI answers to draw on.

We would draft page briefs built on approved facts and the questions buyers actually ask, then check existing coverage before proposing anything new. The briefs would specify what each page should answer and which claims need sign-off, leaving the writing to follow the client's approved language.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Vitruvi?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What is the best home diffuser?

3

3

3

What is the best essential oil diffuser for home?

2

2

2

What is the best essential oil diffuser to buy?

2

2

2

Which is the best scent diffuser?

2

2

2

top 20 essential oils brands

2

2

2

What brands of essential oils are 100% pure?

6

2

1

100 pure essential oils brands

1

1

1

How to pick really good quality essential oils?

1

1

1

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

The recorded questions cluster around diffusers and around oil purity and quality. Vitruvi is mentioned in most of the diffuser questions and recommended in all of them, which is a strong position to build on. The purity questions are a different story: the brand appears in only some and is recommended in fewer.

We would turn these observations into content briefs, starting with the purity and quality questions where the brand is weaker. Before proposing new pages, we would check whether existing content already covers those questions, since these are recorded answer observations rather than verified demand.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Vitruvi 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: a scorecard, a scoped list of claims to verify, and a shortlist of pages and sources to review, each with an owner and a review status. Nothing gets corrected in this phase; the point is to know what is solid.

The second month produces approved page briefs and any publisher requests that verification justifies, with confirmed edits, no-change decisions and responses recorded 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.

Methodology

Questions This Section Answers

  • How are Vitruvi 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 collected under the benchmark's inclusion rules, and the exact collection dates have not been verified. A company counts as recommended only when an answer endorses it with positive wording; top-three and first-place counts sit inside those recommendations rather than adding to them.

Answers can mention several companies, so counts cannot be summed into distinct answers. Monthly samples differ, so comparisons show what was recorded, not why it changed. Cited pages and disputed claims still need independent verification.

Our first three priorities

First, confirm the facts behind Vitruvi's product and quality claims so any future page or publisher work rests on verified ground. The clean claim picture this month makes that a low-cost, high-value step rather than an emergency.

Second, strengthen owned product pages with briefs built on approved facts and the diffuser and purity questions buyers ask. The brand already performs well when considered, so clearer owned content is the most direct way to widen that consideration.

Third, review the most-cited external pages and prepare evidence-backed requests only where verification supports a change. Each priority has a named owner and a review status, and none of them promises a visibility outcome.

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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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