Exodus Appears in 57.6% 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

  • Exodus is mentioned in 57.55% of benchmark answers, but its recommendation rate is lower at 34.90%, showing an endorsement gap.
  • Two medium-priority claims about supported assets and networks need verification against primary sources before any page changes are proposed.
  • The homepage, Ethereum wallet page, and self-custody support article are the main website pages to review because they attract the most citations.
  • Buyer questions about Dogecoin, Litecoin, beginner wallets, and general best-wallet comparisons already show strong Exodus coverage and are good targets for content briefs.

Answer Capsule

In November 2026, Exodus appeared in 343 of 596 AI answers included in the Crypto Wallets benchmark (57.55%). It received 208 recommendations (34.90%), with 97 Top 3 placements and 46 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 Exodus mentions, recommendations and placements compare with its Crypto Wallets peers?

Exodus recorded 343 mentions (57.55%) and 208 recommendations (34.90%) across 596 answers included in the benchmark. Top 3 placements numbered 97; first-place recommendations numbered 46. Framing among its mentions was 223 positive, 117 neutral and 3 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%

Exodus appears in a little over half of the answers measured, which places it mid-table among the wallets tracked. Its recommendation rate sits below its mention rate, so the brand is named more often than it is actively endorsed. That gap is the practical opening: being present in an answer is not the same as being the wallet an answer puts forward.

Placement tells a similar story. Exodus earns a meaningful share of shortlist positions but far fewer first-place nods, and its positive framing outweighs negative wording by a wide margin. The tone of coverage looks healthy; the challenge is turning recognition into affirmative endorsement. We would treat that endorsement gap as the central question for the engagement rather than a volume problem.

What changed since last month

Questions This Section Answers

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

Metric

Jul 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

401 / 700 (57.29%)

368 / 686 (53.64%)

335 / 671 (49.93%)

343 / 596 (57.55%)

Recommendations

315 / 700 (45.00%)

281 / 686 (40.96%)

265 / 671 (39.49%)

208 / 596 (34.90%)

Top 3 recommendations

161 / 700 (23.00%)

69 / 686 (10.06%)

101 / 671 (15.05%)

97 / 596 (16.28%)

#1 recommendations

77 / 700 (11.00%)

15 / 686 (2.19%)

15 / 671 (2.24%)

46 / 596 (7.72%)

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

From October 2026 to November 2026, Exodus' mention count rose from 335 to 343, while its recommendation count fell from 265 to 208. The recommendation rate was 39.49% and 34.90% respectively.

Across the recorded months, Exodus' mention count moved within a fairly narrow band while its recommendation count drifted downward, and the latest month shows mentions holding roughly steady as recommendations fell again. The recommendation rate is lower than it was earlier in the record. These are observed movements in separate monthly samples, not a single continuous trend line.

The samples differ between months, so the month-to-month figures are not directly comparable and the record does not explain why counts or rates moved. We would present the history as a set of snapshots with that limit stated plainly, and focus attention on the recommendation rate as the measure worth watching going forward.

AI recommendation trend

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

0%15%30%45%60%Jul 2026Sep 2026Oct 2026Nov 202645.00%Jul 2026: 45.00%40.96%Sep 2026: 40.96%39.49%Oct 2026: 39.49%34.90%Nov 2026: 34.90%
  • Exodus34.90%

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 Exodus?

AI answers contained 2 conflicting claims about Exodus: 0 critical, 0 high, 2 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 most useful first step is a scorecard that puts Exodus' mention, recommendation and placement figures beside the other wallets tracked, so the client can see where it stands and where the endorsement gap is widest. Alongside that, the two disputed claims about supported assets give a short, concrete fact-check list rather than a vague audit.

Both disputed points concern the same topic, the number of assets and networks supported. Neither is rated critical or high, so they are worth resolving but not urgent. We would assign each claim an owner and an evidence requirement, and confirm the current position from primary sources before deciding whether any correction is warranted.

Step 2. Make the website consistent

Questions This Section Answers

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

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

supported assets count

medium

thousands of tokens / 50+ networks

over 10,000 digital assets

supported assets count

medium

thousands of tokens / 50+ networks

over 10,000 digital assets

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 claims both concern how many assets and networks Exodus supports, with one answer describing thousands of tokens across many networks and another citing a much larger asset figure. These are recorded AI statements, not verified company facts, and the difference may reflect different dates or different definitions rather than an error by anyone.

We would resolve the entity, date and source behind each figure before proposing any change. If the current primary source supports one description, a page brief can make that wording explicit and easy to quote; if the figures simply reflect different moments, the brief should say so. No correction request goes out until that check is complete.

Step 3. Align the external narrative

Questions This Section Answers

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

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://coinspace.co/cs/blog/coin-wallet-vs-exodus

1

1

2

https://coinspot.io/en/beginners/coinbase-wallet-vs-exodus/

1

1

2

https://cryptoslate.com/crypto-wallets/exodus-vs-trust-wallet/

1

1

2

https://cryptoslate.com/crypto-wallets/metamask-vs-exodus/

1

1

2

https://fincrati.com/blog/exodus-vs-trust-wallet/

1

1

2

https://cryptoassetrecovery.com/posts/is-exodus-wallet-safe

4

4

1

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 comparison articles pairing Exodus with other wallets, plus one safety-focused piece that appears more often in captured answers. Each is linked to the disputed asset claims, but a citation does not show that a page caused an answer, and the same answer can touch more than one page.

We would check the current contents of these pages before deciding anything. Where a page is out of date or ambiguous on supported assets, a polite, evidence-backed request may be appropriate; where it is accurate, the right outcome is a documented no-change decision. Publisher control and publisher error are not assumed.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Exodus 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://exodus.com/

20

18

11

https://exodus.com/ethereum-wallet

11

7

5

https://exodus.com/support/en/articles/8598826-what-makes-exodus-a-self-custody-wallet

9

9

1

https://exodus.com/support/en/articles/8598721-what-are-the-different-types-of-crypto-wallets

5

4

1

https://exodus.com/security

4

4

2

https://exodus.com/support/en/articles/8598632-how-do-i-keep-my-money-safe-how-to-store-cryptocurrency-safely

4

4

0

https://exodus.com/xrp-wallet

4

1

0

https://exodus.com/download

3

3

2

The company's website was cited 99 times across 34 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.

Exodus' own site is cited widely across many distinct pages, and the homepage, the Ethereum wallet page and the self-custody support article carry the most appearances. Notably, the self-custody article is cited often but rarely alongside a recommendation, which suggests a page that informs answers without persuading them.

We would build page briefs around approved facts and the questions buyers actually ask, starting with the pages that already attract citations. The briefs would tighten how each page states custody, supported assets and security, so an answer drawing on it has clear, quotable language. Existing coverage is checked before any new page is proposed.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Exodus?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

Which wallet is best for Dogecoin?

5

5

5

What is the best wallet for Litecoin?

4

4

4

Which digital crypto wallet is best?

6

4

4

What are the popular hot wallets?

5

5

3

What are the top 10 wallets?

4

4

3

What is the best crypto wallet to use?

6

4

3

Which bitcoin wallet is best for beginners?

4

4

3

Which wallet accepts Dogecoin?

4

4

3

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

The recorded questions cluster around coin-specific wallet choices, general best-wallet comparisons and beginner guidance. Exodus is mentioned in nearly all of these answers and recommended in most of them, which makes this a relatively strong area rather than a weak one. The Dogecoin and Litecoin questions in particular show consistent endorsement.

We would turn these observations into buyer-question content briefs, checking first whether the site already answers each question well. Where coverage exists, the brief would sharpen it with approved facts; where it does not, a new page could be proposed. These are recorded answer observations, not search volume or proof of missing content.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Exodus 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 produces the baseline scorecard, a scoped fact-review register and a shortlist of pages and sources to examine, each with an owner, an evidence requirement and a review status. This establishes what is known and what still needs checking before any outward action.

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. Completed work is reported apart from measured answer outcomes, and no visibility gain is promised.

Methodology

Questions This Section Answers

  • How are Exodus 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 visibility figures rest on answers that met the benchmark's 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; shortlist and first-place counts sit inside those recommendations rather than adding to them.

Answers can mention several companies, so company counts do not sum to a number of distinct answers. Monthly samples differ, and the comparisons describe how recorded results changed, not why. Cited pages and disputed claims still need independent verification.

Our first three priorities

First, resolve the two disputed asset-count claims from current primary sources and record the outcome, whether that is a correction, a clarification or a no-change decision. This is small, bounded work that removes ambiguity from answers describing what Exodus supports.

Second, build page briefs for the homepage, the Ethereum wallet page and the self-custody article, using approved facts to make custody and asset support easy to quote. The self-custody page is the clearest opportunity, given how often it is cited without accompanying endorsement.

Third, prepare buyer-question briefs around the coin-specific and beginner wallet questions where Exodus is already recommended, checking existing coverage first. Throughout, we would keep the recommendation rate as the headline measure and report completed work separately from any change in the answers.

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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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