Electrum Appears in 13.3% 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

  • Electrum is mentioned in 13.26% of benchmark answers but recommended in only 5.54%, showing a gap between visibility and endorsement.
  • The article records no conflicting claims about Electrum, so the work starts with measurement and verification rather than reputation repair.
  • Third-party wallet roundups and Bitcoin guides are the main cited sources to review, but citation frequency alone does not prove they caused any claim issues.
  • Priority content should address buyer questions about free wallets, ID verification, and best-wallet comparisons, while checking existing site coverage first.

Answer Capsule

In November 2026, Electrum appeared in 79 of 596 AI answers included in the Crypto Wallets benchmark (13.26%). It received 33 recommendations (5.54%), with 13 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 Electrum mentions, recommendations and placements compare with its Crypto Wallets peers?

Electrum recorded 79 mentions (13.26%) and 33 recommendations (5.54%) across 596 answers included in the benchmark. Top 3 placements numbered 13; first-place recommendations numbered 7. Framing among its mentions was 34 positive, 45 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Trust Wallet

464

77.85%

283

47.48%

133

22.32%

57

9.56%

2

Ledger

552

92.62%

279

46.81%

131

21.98%

91

15.27%

3

MetaMask

471

79.03%

274

45.97%

156

26.17%

71

11.91%

4

Trezor

510

85.57%

259

43.46%

113

18.96%

39

6.54%

5

Exodus

343

57.55%

208

34.90%

97

16.28%

46

7.72%

6

Coinbase Wallet

339

56.88%

162

27.18%

57

9.56%

23

3.86%

7

Zengo

149

25.00%

91

15.27%

21

3.52%

11

1.85%

8

BlueWallet

75

12.58%

37

6.21%

16

2.68%

8

1.34%

9

Electrum

79

13.26%

33

5.54%

13

2.18%

7

1.17%

10

Best Wallet

87

14.60%

10

1.68%

1

0.17%

0

0.00%

Electrum appears in a modest share of benchmark answers and is recommended far less often than the leaders, so its presence is broader than its endorsement. The gap between mentions and recommendations is the practical issue: being named alongside stronger brands does not mean an answer puts Electrum forward as a choice.

Framing is largely neutral, with no negative mentions recorded. That gives the agency room to work on endorsement rather than reputation repair. Proposed work should start with a scorecard that separates mention, recommendation and placement so the client can see which measure each piece of content is meant to move.

What changed since last month

Questions This Section Answers

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

Metric

Jul 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

116 / 700 (16.57%)

96 / 686 (13.99%)

89 / 671 (13.26%)

79 / 596 (13.26%)

Recommendations

83 / 700 (11.86%)

54 / 686 (7.87%)

55 / 671 (8.20%)

33 / 596 (5.54%)

Top 3 recommendations

24 / 700 (3.43%)

17 / 686 (2.48%)

24 / 671 (3.58%)

13 / 596 (2.18%)

#1 recommendations

2 / 700 (0.29%)

3 / 686 (0.44%)

3 / 671 (0.45%)

7 / 596 (1.17%)

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

From October 2026 to November 2026, Electrum's mention count fell from 89 to 79, while its recommendation count fell from 55 to 33. The recommendation rate was 8.20% and 5.54% respectively.

The recorded monthly results show Electrum's recommendation count falling between the October and November samples while mentions moved less. First-place recommendations rose over the same period, so the picture is mixed rather than a single direction of travel.

The monthly samples differ in size and composition, so these movements should be read as separate observations, not as a trend with an established cause. Proposed work would track each month's results side by side and flag comparability limits before anyone draws conclusions from a change.

AI recommendation trend

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

0%3.75%7.5%11.25%15%Jul 2026Sep 2026Oct 2026Nov 202611.86%Jul 2026: 11.86%7.87%Sep 2026: 7.87%8.20%Oct 2026: 8.20%5.54%Nov 2026: 5.54%
  • Electrum5.54%

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 Electrum?

AI answers contained 0 conflicting claims about Electrum: 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 Electrum were recorded in the captured answers, so there is no urgent correction list to work through. That is a clean starting position, but it is not proof that every statement about the company is accurate.

A useful first step is a visibility comparison that shows where Electrum is named, recommended and placed relative to peers, paired with a short list of claims worth checking against primary sources. The comparison sets priorities; the fact-check list keeps the team from acting on unverified statements.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Electrum 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 Electrum at present. The absence of findings is not confirmation that the website is accurate or complete.

Proposed work is therefore conditional: verify entity details, dates and sources against current primary material before drafting any page brief. Where a claim cannot be confirmed, the brief should record a no-change decision rather than a correction. Ambiguous matches stay out of the queue until the company is clearly identified.

Step 3. Align the external narrative

Questions This Section Answers

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

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://app.coinpedia.org/company/electrum/

1

1

0

https://changelly.com/blog/best-bitcoin-btc-wallets/

16

11

0

https://businessinsider.com/personal-finance/investing/best-bitcoin-wallet

21

10

0

https://bitcoinfoundation.org/news/analysis/best-crypto-wallets/

84

9

0

https://bitcoin.org/en/choose-your-wallet

23

9

0

https://coingecko.com/learn/top-bitcoin-wallets

13

9

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.

Several third-party pages were cited repeatedly in answers that mention Electrum, including wallet roundups and general Bitcoin wallet guides. Citation frequency shows these pages were used in captured answers; it does not show that their contents influenced how Electrum was described or recommended.

Proposed work is a page-by-page review of the shortlisted sources against current contents, followed by evidence-backed requests only where a specific inaccuracy is confirmed. Requests should be framed as corrections with supporting primary sources, and responses recorded separately from confirmed edits.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Electrum 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://electrum.org/

2

2

0

The company's website was cited 2 times across 1 distinct page addresses; the table shows 1 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.

Electrum's own site was cited only a handful of times across the captured answers, and none of those citations appeared in answers that recommended the company. That suggests the site is not currently a strong input to recommending answers, though the evidence cannot establish why.

Proposed work is a page brief for the main site that uses approved company facts and answers the questions buyers actually ask. Existing coverage should be checked before any new page is proposed, and the brief should note which claims need primary-source confirmation.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Electrum?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What are the top 10 bitcoin wallets?

3

3

2

Is there a free Bitcoin wallet?

2

2

2

Which Bitcoin wallets don't require ID verification?

4

4

1

Is it free to get a bitcoin wallet?

3

3

1

Are there any free bitcoin wallets?

3

2

1

What is the best wallet for Litecoin?

4

2

1

Which bitcoin wallet is best?

2

2

1

Which wallet is best to hold Bitcoin?

5

2

1

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

The recorded questions cluster around free wallets, wallets without ID verification, and general best-wallet choices for Bitcoin and Litecoin. Electrum was mentioned in most of these question groups but recommended in only some, which makes the recommendation gap the more useful target.

Proposed content briefs would address these buyer questions directly, using approved facts and clear comparisons. Before commissioning anything, the team should check whether the site already covers each question, so new work fills a real gap rather than duplicating existing pages.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Electrum 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. This gives later work a documented starting point rather than an assumed one.

The second month produces approved page briefs and justified publisher requests, with confirmed edits, no-change decisions and responses recorded separately. The third month delivers buyer-question content briefs and a fresh scorecard. Completed work is reported separately from measured answer outcomes, and no visibility gain is promised.

Methodology

Questions This Section Answers

  • How are Electrum 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 596 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 5089 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

700

6

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

Sep 2026

686

6

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

Oct 2026

671

6

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

Nov 2026

596

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. Reliable results for August 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 benchmark covers answers that met inclusion rules, and the exact collection dates for the original answers have not been verified. A company counts as recommended only when an answer endorses it with positive wording; placements sit inside recommendations rather than adding to them.

Answers can mention several companies, so counts cannot be summed into distinct answers. Monthly samples differ, and the comparisons describe recorded movement without establishing its cause. Cited pages and disputed claims still require independent verification.

Our first three priorities

The first priority is a scorecard that keeps mentions, recommendations and placements distinct, so the client can see that Electrum's main gap is endorsement rather than presence. This should be paired with a short fact-check list drawn from the captured answers and checked against primary sources.

The second is a review of the most-cited third-party pages, with correction requests only where a specific inaccuracy is confirmed. The third is buyer-question content covering free wallets, ID-free wallets and best-wallet choices, after checking existing site coverage. Each item has a named owner and a recorded 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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