Crypto Wallets: AI Visibility Market Discovery Index

Benchmark Summary

Questions This Section Answers

• Which crypto wallet brands led the October 2026 benchmark?
• Which brands recorded the biggest month-over-month gains?

Ledger led the Crypto Wallets benchmark in October 2026 with valid recommendation coverage of 73.0 percent, ahead of Trezor at 68.3 percent, a gap of 4.7 points over the second-place brand. Trezor posted the largest prior-month increase, rising from 62.1 percent in September 2026 to 68.3 percent in October 2026, a gain of 6.2 points. Ledger recorded the second-largest prior-month gain, rising from 67.8 percent to 73.0 percent, a gain of 5.2 points, over the same span. No tracked brand recorded a significant decline between September 2026 and October 2026. Ledger and Trezor recorded the largest baseline-to-current increases, each rising 47.0 points: Ledger from 26.0 percent in May 2026 to 73.0 percent in October 2026, and Trezor from 21.3 percent to 68.3 percent. Best Wallet was the only tracked brand classified as stable, with valid recommendation coverage of 2.4 percent in October 2026, up 1.2 points from 1.2 percent in May 2026.

The October 2026 measurement produced 671 qualified observations from 800 source prompt-surface observations. The May 2026 baseline comprised 1,425 qualified observations, reported at the qualified-observation level without the expanded funnel detail available for the current period.

Current Benchmark at a Glance

Qualified surface breadth counts the canonical AI/search surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. The benchmark maintained breadth across all six families in both May 2026 and October 2026.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Crypto Wallets

Research Scope and Qualification

Questions This Section Answers

• How many source prompts and qualified observations made up the October 2026 benchmark?

The public benchmark is narrower than the raw collection universe by design.

Funnel detail for individual qualification stages is only confirmed for the current period; the May 2026 baseline is reported at the qualified-observation level used throughout this report. Brand-level percentages use the qualified observations for each respective month as the public denominator, not the raw collection. See the AI Visibility Market Discovery Methodology for full details.

Current Brand Standings

Questions This Section Answers

• How do the top crypto wallet brands compare on presence rate, valid recommendation coverage, and rank-one rate?
• Which brands reached the highest recommendation placement in October 2026?

This table is the primary current-month benchmark view, sorted by valid recommendation coverage.

How to Read the Standings

Presence rate is the share of qualified observations where the brand appears. Valid recommendation coverage is the share of qualified observations where the brand receives a valid recommendation. Top-three rate is the share of qualified observations where the brand appears in the top three recommended positions. Rank-one rate is the share where the brand is the first recommendation. Net sentiment is the positive-minus-negative share of brand mentions.

For formulas and denominator rules, see AI Visibility Market Discovery Metric Definitions.

Recommendation Coverage Movement

Questions This Section Answers

• Which crypto wallet brands improved the most since the May 2026 baseline?
• Did any tracked brand decline between May and October 2026?

Nine of ten tracked brands posted baseline-to-current gains beyond normal month-to-month variation. Best Wallet's movement of 1.2 points was within normal variation and is classified as stable. The intervening July 2026, August 2026, and September 2026 measurements varied by brand. For Ledger, valid recommendation coverage was 68.6 percent in July 2026, 32.1 percent in August 2026, 67.8 percent in September 2026, and 73.0 percent in October 2026. Trezor recorded 65.9 percent in July 2026, 28.9 percent in August 2026, 62.1 percent in September 2026, and 68.3 percent in October 2026. The benchmark does not establish why these intermediate measurements varied.

Largest Increase: Ledger and Trezor

Ledger and Trezor each rose 47.0 points from May 2026 to October 2026, the largest baseline-to-current increases among tracked brands. Ledger's valid recommendation coverage rose from 26.0 percent in May 2026 to 73.0 percent in October 2026, while Trezor's rose from 21.3 percent to 68.3 percent. Ledger's presence rate rose from 37.8 percent to 93.7 percent over the same span, and Trezor's rose from 28.5 percent to 86.0 percent. Ledger recorded a prior-month rise of 5.2 points from 67.8 percent in September 2026 to 73.0 percent in October 2026, and Trezor rose 6.2 points from 62.1 percent to 68.3 percent over the same period. Both brands recorded increases in each of the last two months.

Category Leader: Ledger

Ledger held the highest valid recommendation coverage in the category in October 2026 at 73.0 percent, up 47.0 points from 26.0 percent in May 2026 and ahead of the next brand, Trezor, at 68.3 percent. Ledger's presence rate was 93.7 percent in October 2026, its top-three rate was 53.2 percent, and its rank-one rate was 30.7 percent. Ledger also held the highest rank-one rate in the category, ahead of Trezor at 14.8 percent and MetaMask at 13.4 percent.

Recommendation Placement Snapshot

Questions This Section Answers

• Which brands held the strongest first-position recommendation rates?

Coverage alone does not show how prominently a brand is recommended. Among the leading brands, Ledger held the strongest first-position rate in October 2026 at 30.7 percent, ahead of Trezor at 14.8 percent and MetaMask at 13.4 percent.

Similar coverage levels can coexist with different rank-one rates, and closer coverage can still hide different first-position strength.

Buyer-Intent Distribution

Questions This Section Answers

• What buyer-intent classes made up the qualified observations?

In October 2026, all qualified observations fell into the Brand Recommendation class.

The May 2026 benchmark also placed all qualified observations in the Brand Recommendation class. The current public series measures this class of discovery and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.

Historical Measurement Record

This is an evergreen benchmark URL. New measurements are added to the same report.

Evidence and Source Layer

Questions This Section Answers

• Which domains were cited most often in AI platform responses for crypto wallets?
• Which crypto wallet brand domains appeared most frequently in citations?

The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

Top 10 Cited Domains

Across all AI platform responses in October 2026, 6,438 citations were observed across 1,081 unique domains.

Citations are broadly distributed: the most-cited domain, youtube.com, accounts for 5.9 percent of citations, and the top 10 domains together account for approximately 29 percent of all citations. Ledger's own domain, ledger.com, ranks fifth with 189 citations, the only tracked brand domain in the top 10. General informational and comparison sources dominate the list, including video platforms, foundation and community sites, search engines, and finance publications.

Scope Boundaries

This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, or private and sponsored channels. Movement in a single metric does not by itself establish causality.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index tracks how AI and search surfaces surface and recommend brands across a vertical. The index is built from standardized prompt observations across six canonical AI/search surface families.

• AI Visibility Market Discovery Methodology
• AI Visibility Market Discovery Metric Definitions
• AI Visibility Market Discovery Research Standards
• Modeled AI Visibility Authority Value

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