How AI Search Is Recommending Crypto Wallets: Monthly Trends

Executive Summary

The crypto wallet category settled into a stable leadership pattern in October 2026. Ledger remains the coverage leader at 73.0% valid recommendation coverage, holding a 4.7-point lead over Trezor, the next brand, at 68.3%. That leader gap is slightly narrower than September's 5.7 points, though the category as a whole continues to sit far above its May baseline.

Ledger delivered the second-largest single-month rise in the category, climbing 5.2 points from September's 67.8% to October's 73.0%, while Trezor posted a 6.2-point rise from 62.1% to 68.3%, the sharpest month-over-month gain of any tracked brand in October. Only Ledger and Trezor posted October movement that stands out from normal month-to-month variation; the rest of the field held closer to September's levels, with Best Wallet and Exodus slipping slightly and Zengo essentially flat.

The sharpest divergence this month is a widening gap rather than a decline. Best Wallet's coverage held roughly flat from September (2.6% to 2.4%), but its gap to Ledger widened to 70.6 points from 24.8 points in May, extending a pattern of separation between the narrow-coverage segment and the category leaders.

Against the full baseline-to-current series, October extends the elevated coverage levels established from July onward. Nine of ten tracked brands remain significant risers from May, and the category shows no meaningful reversal of the pattern seen across the summer and early autumn; Best Wallet is the one brand whose movement has not reached that threshold.

Each monthly run begins with 800 prompt-surface observations in October 2026 (484 unique questions), 800 in September (466 unique questions), 800 in August (454 unique questions), 800 in July (423 unique questions), and 1,425 in the May baseline. Of those 800 October prompts, 800 mentioned a tracked brand or competitor; 753 were relevant and 47 were irrelevant. The public metrics use the 671 qualified observations in October, 686 in September, 688 in August, and 700 in July that survive both qualification stages, against 1,425 in May. The prompt collection methodology changed between the May run and the July-through-October runs; that change is described in Benchmark Context.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which crypto wallet claims did AI platforms contradict, and what were the conflicting positions?
• How severe were the Trezor USDT and Trust Wallet US-usage inconsistencies flagged in October?

Two critical or high-severity factual inconsistencies were detected across four AI platforms. Each involved a single tracked company, and both were flagged at high confidence.

Trezor

AI platforms provided conflicting information about Trezor's support for TRC20 USDT. When asked which wallet is best for USDT, Gemini stated that "Trezor Safe 5 supports USDT across ERC20, TRC20, Polygon, Solana, and more," while Google AI Mode stated that mainstream Trezor devices primarily support ERC-20 and other EVM-based USDT networks rather than TRC-20. The two responses differ on whether TRC-20 support is available, a high-severity factual conflict. Gemini cited three pages, including Trezor's own coin support page, a Zeal guide to the best USDT wallets, and a Zengo comparison page. Google AI Mode cited a Switchere USDT wallet guide, the same Zeal page, and a Binance Square post. Three flagged sources, all supporting the Gemini side of the conflict, referenced Trezor's official Tether network page listing TRON among supported networks.

Trust Wallet

AI platforms provided conflicting information about which crypto wallet is most widely used in the USA. When asked which crypto wallet is mostly used in the USA, ChatGPT stated that Coinbase Wallet is among the most commonly used and listed Trust Wallet as a major wallet but not the top, while Copilot stated that "Trust Wallet is the most widely used crypto wallet in the USA, ranking #1." The two answers identify a different single wallet as the most used in the USA, a high-severity factual conflict. ChatGPT cited a Statista page on U.S. crypto wallet downloads, a CoinGecko research publication, and a Phantom learn article. Copilot cited a ChainChoice United States wallet ranking, a Forbes Advisor crypto wallet guide, and a Yahoo Finance personal finance article. One flagged source, a CoinGecko research publication supporting the ChatGPT side, described Coinbase Wallet, Trust Wallet, and Blockchain.com Wallet as ranking behind MetaMask among commonly used wallets.

Benchmark Context

Questions This Section Answers

• How did the qualified crypto wallet benchmark set change between the May baseline and October?
• What methodology change should readers keep in mind when reading the May-to-October trend series?

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set for each month.

The intermediate months had 700 qualified observations (July), 688 (August), and 686 (September), each drawn from 800 collected prompts. The collection methodology changed between the May run (1,425 observations) and the July-through-October runs (800 prompt surfaces each). That change is disclosed here; the trend series should be read with it in mind, since the benchmark cannot separate platform behavior from measurement effects.

Benchmark-Level Metrics

September's recommendation-shaped answer share and valid recommendation shortlist share were 47.5% and 69.1% respectively, so October extends a shift toward recommendation-shaped answers that has been building since the July methodology change.

AI Recommendation Trend

Questions This Section Answers

• Which crypto wallets led AI recommendation coverage in October, and how wide is the gap between first and third?
• Which brands posted movement that stands out from normal month-to-month variation?

The category holds a stable top tier as the leader extends slightly

October 2026 keeps the same leadership order as September. Ledger (73.0%), Trezor (68.3%), and Trust Wallet (62.2%) remain the top three, separated by 10.8 points from first to third. MetaMask (53.8%) and Exodus (39.5%) hold the second tier, and the remaining five brands range from Coinbase Wallet at 36.1% down to Best Wallet at 2.4%.

Nine of ten tracked brands remain well above their May baseline levels; Best Wallet is the exception, holding roughly flat since the category's earlier months. Month-over-month, only Ledger and Trezor posted gains large enough to stand out from normal variation in October, while the rest of the field held close to September's levels.

What Changed This Month

Questions This Section Answers

• Why did Ledger extend its lead, and how strong is its rank-one position compared with the rest of the category?
• What drove Trezor's month-over-month gain, and where does it still trail Ledger?
• What is behind the widening coverage gap between Ledger and the smallest wallets like Best Wallet?

Ledger: Extends its lead with the strongest rank-one position in the category

Ledger's October coverage of 73.0% is up 47.0 points from May's 26.0% baseline and up 5.2 points from September's 67.8%. The brand closed October with 490 valid recommendations from 671 qualified observations, the highest count in the category. In May, Ledger held 371 valid recommendations from 1,425 observations.

The gain is broad across the ranking dimensions. Ledger's top-three rate rose from 18.6% in May to 53.2% in October (up 34.6 points), and its rank-one rate rose from 10.2% to 30.7%, the strongest rank-one position of any tracked brand. Raw mention presence rose from 37.8% in May to 93.7% in October.

Ledger's October average recommended rank of 2.16 is its best in the measured series, improving on September's 2.36. That improvement came alongside a modest change in raw mention presence, from 94.0% in September to 93.7% in October.

Highest-priority diagnostic: Whether the 5.2-point gain from September's 67.8% to October's 73.0% is concentrated in one or two AI surface families or spread evenly across the six tested.

Trezor: The largest month-over-month gain in October

Trezor closed October at 68.3%, up 47.0 points from May's 21.3% and up 6.2 points from September's 62.1%, the largest month-over-month gain of any tracked brand in October. Trezor holds 458 valid recommendations, second only to Ledger.

Trezor's top-three rate rose 30.7 points from May (14.9% to 45.6%), its rank-one rate rose 10.5 points (4.3% to 14.8%), and its raw mention presence rose 57.5 points (28.5% to 86.0%). Its average recommended rank improved from September's 2.93 to October's 2.62.

Trezor converts strong presence into placement at a level close to Ledger, but its rank-one rate remains roughly half of Ledger's. The brand is visible and frequently recommended, yet it wins the top slot less often than the leader.

Highest-priority diagnostic: Which prompts place Trezor in top-three positions but not the top slot, and whether the gap to Ledger's rank-one rate is uniform across surfaces.

Trust Wallet: Third place, steady against the prior month

Trust Wallet reached 62.2% in October, up 44.9 points from May's 17.3% and up 0.7 points from September's 61.5%. It holds 417 valid recommendations, third in the category.

Trust Wallet's top-three rate rose 25.3 points from May (8.2% to 33.5%), its rank-one rate rose 8.0 points (1.8% to 9.8%), and its raw mention presence rose 56.8 points (21.6% to 78.4%). Its average recommended rank slipped from September's 3.14 to October's 3.13, essentially flat.

Trust Wallet's coverage gain from May is the third largest in the category, but its rank-one rate trails both Trezor and Ledger. It converts presence into recommendation more slowly than the two brands above it.

Highest-priority diagnostic: Which prompts account for Trust Wallet's presence-to-placement gap and whether a specific competitor takes the top slot in those prompts.

MetaMask and Exodus: The second tier holds its position

MetaMask rose 39.1 points from May (14.7% to 53.8%) and 3.9 points from September (49.9% to 53.8%), holding fourth place. Its rank-one rate rose 11.2 points from May (2.2% to 13.4%), reaching 90 rank-one placements in October. Exodus rose 20.9 points from May (18.6% to 39.5%) and slipped 1.5 points from September (41.0% to 39.5%), one of two brands to edge down slightly against the prior month, holding fifth at 39.5%.

Exodus tells a different story within its baseline coverage gain. Its top-three rate rose 3.1 points from May (11.9% to 15.0%), a modest shift, and its rank-one rate fell 3.1 points (5.3% to 2.2%). MetaMask is gaining both coverage and rank-one position, while Exodus is gaining coverage against May but losing ground within the list.

Highest-priority diagnostic: Which competitor occupies the top-three slots Exodus is losing, and whether the slip from September to October reflects a surface-specific shift.

Coinbase Wallet, BlueWallet, Electrum, and Zengo: The middle and lower tiers

Coinbase Wallet rose 28.7 points from May (7.4% to 36.1%) and 3.0 points from September (33.1% to 36.1%), holding sixth place with 242 valid recommendations. BlueWallet rose 8.7 points from May (2.9% to 11.6%) and 0.4 points from September (11.2% to 11.6%), holding eighth. Electrum rose 5.5 points from May (2.7% to 8.2%) and 0.3 points from September (7.9% to 8.2%), holding ninth. Zengo rose 11.8 points from May (9.8% to 21.6%) and was flat from September (21.6% to 21.6%), holding seventh.

Coinbase Wallet converts its presence gain into top-three placement; Zengo's top-three rate of 6.9% is up just 2.3 points from May's 4.6%, a smaller shift than its overall coverage gain, and its net sentiment score of 0.902 remains among the highest in the category. BlueWallet, Electrum, and Best Wallet have small absolute valid recommendation counts in October (78, 55, and 16 respectively), so their percentages should be interpreted with that small-count caveat in mind.

Highest-priority diagnostic: Which surfaces account for Coinbase Wallet's presence jump since May, and which prompts mention Zengo with high sentiment but stop short of top-three recommendation.

The widening gap for the smallest brands

The notable pattern this month remains divergence, not decline. Best Wallet's coverage was effectively flat from September (2.6% to 2.4%), but its gap to Ledger widened to 70.6 points from 24.8 points in May. Its gap to Trezor widened to 65.9 points from 20.1 points in May, and its gap to Trust Wallet widened to 59.8 points from 16.1 points in May.

The smallest brands are gaining coverage slowly while leaders accelerate, producing a widening spread that is not a decline for the smaller brands but a difference in velocity. Best Wallet's presence rate of 3.1% in October is up from 1.7% in May, while the category leaders now exceed 78% presence.

Highest-priority diagnostic: Whether the widening gaps reflect genuinely different recommendation patterns or an artifact of the small absolute counts, which for Best Wallet (16 valid recommendations), Electrum (55), and BlueWallet (78) remain low.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters produced qualified crypto wallet observations in October?
• What commercial questions about pricing, value, and head-to-head preferences remain unanswered by the current benchmark?

In October, all 671 qualified observations fell into the Brand Recommendation cluster. The comparison and pricing clusters, which held 244 and 123 observations respectively in May, registered zero qualified observations in July through October. The public benchmark can currently answer which brand AI systems recommend, but cannot yet answer price sensitivity, value comparison, or head-to-head preference questions for crypto wallets. Those commercial questions remain outside the scope of the qualified dataset this month.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the CiteWorks Studio AI Visibility Industry Market research program.

• AI Visibility Industry Market Benchmark
• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• October 2026 used 671 qualified observations from 800 collected prompts, a smaller denominator than May's 1,425 observations. Brand-level percentages are calculated within each month's qualified set.
• The July collection run marked a methodology shift from the May run. The trend series from May through October should be read with the understanding that July's elevated coverage rates across all brands may reflect a different question mix or surface distribution than May.
• The summer-to-autumn stability in coverage levels is treated as a directional signal. Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.
• Best Wallet, Electrum, and BlueWallet have small absolute valid recommendation counts in October (16, 55, and 78 respectively). Their percentages should be interpreted with that small-count caveat in mind.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

The aggregate percentages raise questions that the public benchmark cannot answer. Which high-intent prompts is a brand winning, and which does it lose? When a brand is not recommended, which competitor takes the slot? What attributes do AI systems associate with each option, and which external sources shape those answers? For a brand like Exodus, whose coverage rose 20.9 points from May but whose rank-one rate fell 3.1 points, the public data shows the symptom but not the mechanism.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It identifies which surfaces matter most for a given brand, which prompts are winnable, and which competitor moves require a response.

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