APMEX Appears in 74.7% 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

  • APMEX appears in most benchmark answers and receives strong endorsement, not just mentions.
  • Recent monthly snapshots show recommendations rising even as mentions eased in November 2026.
  • The main fact-check items involve pricing and shipping claims, all rated medium severity.
  • Priority work centers on verifying disputed claims, reviewing cited third-party pages, and improving high-citation company pages.

Answer Capsule

In November 2026, APMEX appeared in 442 of 592 AI answers included in the Gold IRAs and Precious Metals Dealers benchmark (74.66%). It received 334 recommendations (56.42%), with 310 Top 3 placements and 188 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 APMEX mentions, recommendations and placements compare with its Gold IRAs and Precious Metals Dealers peers?

APMEX recorded 442 mentions (74.66%) and 334 recommendations (56.42%) across 592 answers included in the benchmark. Top 3 placements numbered 310; first-place recommendations numbered 188. Framing among its mentions was 334 positive, 108 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

JM Bullion

458

77.36%

344

58.11%

316

53.38%

115

19.43%

2

APMEX

442

74.66%

334

56.42%

310

52.36%

188

31.76%

3

American Hartford Gold

304

51.35%

286

48.31%

167

28.21%

44

7.43%

4

Augusta Precious Metals

289

48.82%

281

47.47%

195

32.94%

82

13.85%

5

Goldco

261

44.09%

249

42.06%

128

21.62%

19

3.21%

6

Birch Gold Group

176

29.73%

169

28.55%

65

10.98%

2

0.34%

7

Noble Gold Investments

95

16.05%

90

15.20%

14

2.36%

3

0.51%

8

Orion Metal Exchange

30

5.07%

27

4.56%

4

0.68%

0

0.00%

9

Advantage Gold

16

2.70%

11

1.86%

2

0.34%

0

0.00%

10

Thor Metals Group

2

0.34%

2

0.34%

0

0.00%

0

0.00%

APMEX sits near the top of this dealer set on both reach and endorsement, and its first-place count stands out against the company ranked just above it on mentions. That pattern suggests the answers often treat APMEX as a leading option rather than a passing reference, which is a stronger position than raw mention volume alone conveys.

The practical question is whether that strength holds across the specific questions buyers ask, not just in aggregate. We would build a scorecard that breaks visibility down by question type and by the pages the answers lean on, so the client can see where the position is solid and where it depends on a small number of sources.

What changed since last month

Questions This Section Answers

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

Metric

Jul 2026

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

456 / 633 (72.04%)

478 / 629 (75.99%)

508 / 654 (77.68%)

509 / 648 (78.55%)

442 / 592 (74.66%)

Recommendations

279 / 633 (44.08%)

282 / 629 (44.83%)

287 / 654 (43.88%)

317 / 648 (48.92%)

334 / 592 (56.42%)

Top 3 recommendations

212 / 633 (33.49%)

226 / 629 (35.93%)

203 / 654 (31.04%)

294 / 648 (45.37%)

310 / 592 (52.36%)

#1 recommendations

127 / 633 (20.06%)

149 / 629 (23.69%)

141 / 654 (21.56%)

182 / 648 (28.09%)

188 / 592 (31.76%)

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

From October 2026 to November 2026, APMEX's mention count fell from 509 to 442, while its recommendation count rose from 317 to 334. The recommendation rate was 48.92% and 56.42% respectively.

The latest month shows mentions easing while recommendations and top placements rose, so the two measures moved in different directions. Because each month is a separate sample of answers, the shift in counts does not by itself explain the change in rates, and the smaller answer base limits direct comparison with earlier months.

What matters for the client is the direction of the endorsement measures, which improved across the recent months shown. We would treat the movement as a signal worth watching rather than a settled trend, and track it against the same question set in the next scorecard before drawing conclusions about momentum.

AI recommendation trend

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

0%15%30%45%60%Jul 2026Aug 2026Sep 2026Oct 2026Nov 202644.08%Jul 2026: 44.08%44.83%Aug 2026: 44.83%43.88%Sep 2026: 43.88%48.92%Oct 2026: 48.92%56.42%Nov 2026: 56.42%
  • APMEX56.42%

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 APMEX?

AI answers contained 5 conflicting claims about APMEX: 0 critical, 0 high, 5 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.

The fact-check list is short and entirely medium severity, which makes it manageable to work through rather than a crisis to contain. None of the recorded conflicts were rated critical or high, so the priority is accuracy and consistency rather than damage control.

We would pair a visibility comparison across the tracked questions with a claim-by-claim review, so the client can see which disputed points actually appear in answers buyers are likely to read. Each claim then gets an owner and an evidence requirement before anyone drafts a correction.

Step 2. Make the website consistent

Questions This Section Answers

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

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

spot price of silver per ounce

medium

$67.79 per troy ounce

~$61.11 per ounce

1 gram gold bar price

medium

~$151.81

~$133–$144

gold spot price per ounce

medium

$4,009.38 per ounce

$4,131 per troy ounce

free shipping threshold

medium

free shipping over $199

free shipping over $99

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 pricing and shipping terms, which are exactly the details a buyer checks before choosing a dealer. The recorded conflicts may reflect different dates or different products rather than a single wrong figure, so the entity, date and source need to be pinned down before any page change is proposed.

We would verify each topic against current primary sources and the client's own published terms. Where a genuine gap exists, we would prepare a conditional page brief; where the conflict resolves to timing or product variation, we would record a no-change decision with the reasoning attached.

Step 3. Align the external narrative

Questions This Section Answers

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

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://silvergoldprice.com/blog/apmex-vs-jm-bullion

2

0

2

https://silvergoldprice.com/blog/jm-bullion-vs-apmex

2

0

2

https://jmbullion.com/charts/gold-price/

34

32

2

https://moneymetals.com/buy/gold/bars

18

17

2

https://monex.com/gold-prices/

6

6

2

https://usgoldbureau.com/category/gold/gold-bars/1-oz-gold-bars

3

3

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.

The cited pages selected for review are mostly third-party price and comparison sources, and several carry conflicting claims while appearing in answers that do not mention APMEX at all. That means a page can shape the information landscape without directly naming the company, so its influence cannot be assumed from a citation alone.

We would review the current contents of these pages before deciding whether any outreach is warranted, and separate confirmed edits from requests and responses. Where a page is accurate and current, the right outcome is a documented no-change decision rather than a correction request.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed APMEX 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://apmex.com/gold-price

30

30

2

https://apmex.com/

28

26

26

https://apmex.com/silver-price

20

19

1

https://apmex.com/category/10000/gold

13

12

12

https://apmex.com/sell-gold-sell-silver-overview

11

6

6

https://apmex.com/gold-price/1-oz-gold-bars-value-chart

7

7

0

https://learn.apmex.com/selling-guide/what-is-the-best-way-to-sell-silver/

7

3

3

https://apmex.com/category/20000/silver-bullion

6

6

6

The company's website was cited 285 times across 128 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 client's own pages are cited widely, but the pattern shows a gap worth understanding: price and chart pages attract many citations yet few of the answers citing them also recommend the company. The homepage and category pages, by contrast, appear in answers that do recommend APMEX.

We would prepare page briefs for the priority pages using approved facts and the questions buyers actually ask, checking existing coverage before proposing anything new. The aim is to make the pages that already earn citations more useful to the answers that reference them, without assuming citation alone drives endorsement.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for APMEX?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What are the best online bullion dealers?

6

6

6

Who is the best company to buy gold coins from?

6

6

6

What is the best site to buy gold from?

5

5

5

What is the most reputable gold dealer?

5

5

5

Which is the best online gold site?

5

5

5

Which is the best online platform for buying gold?

5

5

5

Which is the best online store for gold?

5

5

5

Which is the best site to buy gold online?

5

5

5

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

The observed questions are almost entirely about which dealer or site is best, and APMEX appears in every recorded answer to them. That is a favorable starting position, but it also means the content opportunity lies in reinforcing why the company earns those recommendations rather than in filling an obvious gap.

We would draft buyer-question briefs that address dealer selection directly, using approved facts and clear comparisons, and check existing pages first so new content does not duplicate what already ranks. These are content proposals, not evidence of search demand.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed APMEX 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. This gives the client a clear record of what is being checked and why before any changes are contemplated.

The second month turns verified findings into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses recorded separately. The third month adds buyer-content briefs and a fresh scorecard, reporting completed work apart from measured answer outcomes so the two are never conflated.

Methodology

Questions This Section Answers

  • How are APMEX 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 592 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 5123 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

633

6

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

Aug 2026

629

6

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

Sep 2026

654

6

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

Oct 2026

648

6

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

Nov 2026

592

6

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

Reliable results for May 2026 are unavailable. This is a gap in the history, not a result of zero. Reliable results for June 2026 are unavailable. This is a gap in the history, not a result of zero.

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

The monthly figures come from separate answer samples, so comparisons describe how recorded results moved, not why. Recommendation counts require both endorsement and positive wording, and top placements sit inside those recommendations rather than adding to them.

Cited pages and disputed claims still need independent verification, and a citation does not show that a source influenced an answer. Missing months are gaps in the record, not zero results.

Our first three priorities

First, verify the pricing and shipping claims against current primary sources and the client's own terms, resolving each to a confirmed edit or a documented no-change decision. This is the most concrete accuracy work available and it touches details buyers weigh directly.

Second, prepare page briefs for the price and chart pages that earn citations but rarely accompany recommendations, using approved facts and buyer questions. Third, draft buyer-question content around dealer selection, checking existing coverage first. Each item has a named owner and a completion record kept separate from measured visibility outcomes.

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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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